That model is already breaking.

The next generation of businesses will not be defined by how many people they employ. They will be defined by how much output they can create from a very small amount of human input. That is the idea behind the zero-man company.

A zero-man company does not literally mean there are zero humans involved. It means the company is designed so that human labor is no longer the bottleneck for execution. One person, or a very small team, can direct a system that produces outcomes which previously required an entire organization.

That is why the paperclip example matters.

The paperclip is not really about a paperclip. It is about leverage. It is about the fact that a tiny object, a tiny action, or a tiny input can trigger a sequence of events that creates a much larger result. In business, this same principle now applies through software, AI, automation, distribution, and systems design.

The real lesson is simple: the future belongs to people who can create disproportionate outcomes from minimal direct effort.

The Shift Most People Have Not Understood Yet

For years, the dominant business model rewarded management. You hired people. You delegated tasks. You built teams. You coordinated functions. You scaled by increasing headcount and controlling the complexity that came with it.

The emerging model rewards architecture instead.

Today, the advantage is not just in doing work. The advantage is in designing systems that do work repeatedly, predictably, and at scale. This means the highest-value operator is no longer the person who can personally execute every task. It is the person who can design workflows, prompts, automations, media systems, distribution loops, and decision rules that allow the business to move without constant human handling.

That is the mental shift behind a zero-man company. You stop asking, “Who do I need to hire to do this?” and start asking, “What system do I need to build so this no longer depends on more people?”

The founders who understand this early will build faster, leaner, and with more strategic freedom than the ones still organizing their business around labor-heavy operations.

What a Zero-Man Company Actually Looks Like

A zero-man company is best understood as a business model where the founder behaves less like a manager of people and more like a designer of leverage.

Traditional company thinking → Add people to increase output. Solve problems with more labor. Depend on constant coordination. Treat AI as an assistant. Scale through headcount.

Zero-man company thinking → Add systems to increase output. Solve problems with better architecture. Depend on clear rules and automations. Treat AI as infrastructure. Scale through repeatable systems.

This does not mean every role disappears. It means many forms of repetitive coordination become unnecessary. Research can be systematized. Drafting can be systematized. Repurposing can be systematized. Lead routing can be systematized. Reporting can be systematized. Follow-up can be systematized.

The founder’s job becomes deciding what deserves human judgment and what should become infrastructure.

The Five Layers of a Zero-Man Company

If you want to build this kind of business, you need to think in layers rather than tasks. A traditional operator asks what needs to be done today. A leverage-minded operator asks what system needs to exist so this category of work keeps getting done.

Layer 1. Signal Capture. What should the business notice? This layer handles inputs, trends, customer language, market shifts, and content signals.

Layer 2. Interpretation. What do these signals mean? This is pattern recognition, insight extraction, scoring, and prioritization.

Layer 3. Production. How do ideas become assets? Writing, content creation, design drafts, workflows, and deliverables.

Layer 4. Distribution. How does output reach people? Posting, email, routing, sequencing, and follow-up.

Layer 5. Feedback Loops. What improves the system over time? Analytics, response tracking, iteration, and optimization.

A zero-man company is built when these layers begin connecting to one another. Once signals feed interpretation, interpretation feeds production, production feeds distribution, and distribution feeds feedback, the company starts to behave like a machine rather than a set of disconnected manual tasks.

That is the deeper idea hidden inside the paperclip concept. One small action matters most when it sits inside a system that compounds its effect.

Why This Matters Right Now

This model matters now because the economic logic of company building is changing. The old advantage came from access to labor, capital, and coordination. The new advantage increasingly comes from speed, systems, and judgment.

Software lowered the cost of execution. The internet lowered the cost of distribution. AI is now lowering the cost of cognition for many routine forms of business work. When these forces combine, the smallest teams in history can produce outputs that were previously reserved for far larger companies.

That does not make strategy less important. It makes strategy more important. When execution becomes cheaper, the real edge moves to choosing the right problems, the right systems, and the right positioning.

In other words, zero-man companies are not impressive because they eliminate people. They are impressive because they free human attention for higher-order thinking.

The Founder’s New Role

In a zero-man company, the founder should operate in four modes.

Observer. Notice where time, friction, and repetition live. The wrong approach is staying busy inside the work. The better approach is identifying recurring patterns worth systematizing.

Architect. Build the structure that reduces manual effort. The wrong approach is patching tasks one by one. The better approach is designing repeatable workflows and rules.

Editor. Improve outputs that machines produce. The wrong approach is accepting raw output blindly. The better approach is refining judgment, taste, and positioning.

Strategist. Choose what the machine should aim at. The wrong approach is chasing random opportunities. The better approach is directing leverage toward high-value outcomes.

This is important because many people will misunderstand the moment. They will use AI to become slightly faster workers. A smaller group will use AI, automation, and systems to become designers of new business architecture.

That second group will win disproportionately.

How to Start Building One

The way to begin is not by trying to automate your entire business in one weekend. That usually produces a mess. The smarter move is to look for categories of work where the same effort keeps being repeated and where the output follows a recognizable pattern.

A good starting point is to ask three questions.

First, where are you repeating the same thinking every week?

Second, where are you moving information from one place to another without adding meaningful judgment?

Third, where are you creating one piece of work that could obviously become five, ten, or twenty outputs with a better system?

Those questions usually reveal the first layer of leverage available to you.

For example, if every week you research trends manually, brainstorm content ideas manually, draft content manually, and then distribute it manually, you are not running a leveraged company. You are still acting like a one-person service department inside your own business. The opportunity is to turn that sequence into a system.

The goal is not perfection. The goal is to remove unnecessary human dependence from recurring workflows.

What Not to Do

There are also mistakes to avoid.

The first mistake is confusing tools with systems. Buying software does not create leverage on its own. Leverage comes from how tools are arranged, connected, and governed.

The second mistake is automating low-value work while leaving high-friction bottlenecks untouched. If your approvals, positioning, and priorities are unclear, no automation stack will save you.

The third mistake is sharing all of your implementation too early. If you are building a business around insight and transformation, not every operational detail should be handed away for free. Sometimes your public content should create conviction, while your deeper offer contains execution.

That distinction matters. Belief creates demand. Implementation captures value.

A Simple Operating Principle

If you remember nothing else from this piece, remember this:

The zero-man company is built when you stop scaling your effort and start scaling your systems.

That is the real takeaway from the paperclip idea. The point is not the object. The point is the asymmetry. Tiny inputs can create outsized outcomes when they are placed inside the right structure.

Once you see that clearly, you stop looking at your business as a list of tasks and start looking at it as a leverage engine.

That is when everything changes.

Where to Go Next

If this idea has shifted how you think, the next step is not just to admire the concept. It is to start identifying where your business still depends on direct human effort when it could be redesigned as a system.

Start small. Build one leverage loop. Then another. Then another.

Over time, the company stops feeling heavy. It stops feeling crowded. It stops feeling like growth requires more people around every corner.

Instead, it starts to feel precise.

That is the future many people have not understood yet.

And the people who understand it first will build companies that look impossibly efficient to everyone else.

If You Want to Go Deeper

This piece was designed to shift how you think about building. But thinking is only the first step.

I want to work with 10 founders to actually set up their zero-man company. That means building the systems, workflows, and leverage loops that make this model real inside your business. Not theory. Not templates. Real implementation that gets you to a place where your output no longer depends on adding more people.

If you are a founder who wants to build a company that gets more capable without becoming more crowded, I want to hear from you.

Only 10 spots. Simply Reply to this email

Quick update on where things are headed.

I’ve been in the AI space since 2018. Machine Learning, Developer Relations, building tools and systems. I’ve watched this thing go from research papers nobody read to products that are replacing entire job descriptions.

And here’s what I know for sure: we’re moving into a world where the most valuable skill won’t be doing the work. It’ll be managing the agents that do it.

Most people will wake up to this too late. I don’t want that to be you.

So I’ve built a free community on Skool with one purpose: to educate people about the future that’s already arriving.

What’s coming inside:

• Full course breakdowns on building with AI, working alongside agents, and future-proofing your career

• Resources and templates from my actual projects. Things I’d normally charge for

• A room full of people who want to be ahead of this curve, not behind it

I’m still building out the content, but the home is ready and I wanted you in from the start.

The reason I’m moving there is simple: I want to talk WITH you, not AT you. Substack is a megaphone. Skool is a room.

You’ll be receiving an invite from Skool shortly to join the community. It’ll come from Skool directly and will have a “Join Now” button.

Just click it and you’re in. If you don’t see it, check your spam folder or use this direct link: [SKOOL LINK]

A few things worth knowing:

• I’d recommend downloading the Skool app (iOS and Android) so you don’t miss anything once things start dropping

• If you’re in a country where Skool isn’t accessible, a VPN will sort you out. You’ll still receive all updates via email regardless

• You’ll still get email notifications from the community, so even if you don’t check the app daily, nothing will pass you by

The people who join early are the ones who’ll shape what this community becomes.

Blessing

P.S. For those asking about LockedIN, it’s a completely separate brand and will have its own community as we get closer to the app launch. I’ll share more on that soon.

The Problem Nobody Talks About

I was using AI assistants for months. Copy-pasting context. Explaining my projects from scratch. Watching the AI forget everything by the next conversation.

It felt like Groundhog Day with a robot.

Then I discovered Claude Projects and Artifacts. Not just the features—but how to actually use them to build something real.

This guide is what I wish someone had given me when I started. It’s based on building my content business while working full-time. Not theory. Actual workflows that I use every single day.

Here’s what changed for me:

• Before: I’d spend 20 minutes explaining context at the start of every conversation

• After: I just say “Write me a script about morning routines” and it’s done in 60 seconds

Let me show you how.

Quick Note

This is not sponsored by Claude but you can help this work by getting on paid subscription.

Thank you

Understanding Claude Pricing

January 2026 • These are the real numbers

Free — $0 ~20 messages/day, basic models, no Projects

Pro ★ — $20/mo ← This is the one 5x usage, Projects, web search, 200K context

Max 5x — $100/mo 5x Pro limits, Opus 4.5, highest priority

Max 20x — $200/mo 20x Pro limits, unlimited Opus, all-day work

Team — $25-30/user Min 5 seats, pooled usage, admin controls

Here’s my honest recommendation: Start with Pro at $20/month. That’s the sweet spot. You get Projects, which is the real game-changer here. Only upgrade to Max when you find yourself hitting limits every single day.

How Usage Limits Actually Work

Claude uses a 5-hour rolling window for usage. On Pro, you get roughly 45 messages per window, but this varies depending on how long your messages are and how complex your requests get.

Here’s a trick I learned: Let’s say you hit your limit in the middle of something important. Don’t panic. Just start a new conversation in the same Project. Claude still has access to all your Project context—you only lose that specific conversation history. Most of the time, that’s totally fine.

Claude Projects: Your AI Workspace

Think of a Project as a dedicated workspace where Claude maintains persistent context about everything you’re working on. It’s like giving Claude a briefcase stuffed with everything it needs to know about your work.

What Actually Goes Into a Project

• Project Knowledge — These are documents Claude can reference anytime: your brand guidelines, technical specs, research, templates

• Instructions — Custom rules that shape how Claude responds within this specific project

• Conversations — Every chat you have within the project stays searchable and connected

• Memory — Over time, Claude actually learns about you and remembers key details across conversations

Here’s How I Structure My Content Creator Project

File What It’s For brand-voice.md How I actually speak, words I never use, examples of my tone target-audience.md My personas, their pain points, what resonates with them script-template.md My proven structure: Hook → Story → Lesson → CTA content-calendar.md 100+ topic ideas organized by content pillar hook-formulas/ Transcripts from creators I study and admire best-performing.md Scripts that got 50K+ views—my proven winners

Here’s where the magic happens: When I ask Claude to write a script now, it already knows my voice, my audience, my hook formulas, and exactly how I like scripts structured. I don’t explain anything. I just say “write me a script about morning routines” and it delivers something that actually sounds like me.

Artifacts: Where Claude Creates Real Things

Here’s something most people completely miss about Claude. Artifacts aren’t just “files Claude makes”—they’re interactive, visual, downloadable outputs that turn your conversations into actual deliverables you can use immediately.

The Types of Artifacts You Can Create

Type What You’d Use It For HTML Prototypes Full app mockups you can actually click through and test React Components Functional UI components that render live right in the chat Word Documents Professional docs like proposals, guides, contracts, reports Markdown Files Content strategies, calendars, frameworks, documentation Mermaid Diagrams Flowcharts, user journeys, system architecture visuals SVG Graphics Simple logos, icons, diagrams, infographics

Let Me Give You a Real Example

I asked Claude to help me create documentation for a SaaS product idea I was working on. In a single conversation, here’s what I walked away with:

• An interactive HTML prototype showing all the app screens

• A Product Requirements Document with detailed user stories

• Technical documentation including database schema and API specs

• A 30-page company guide with market positioning and competitor analysis

All of it downloadable. All of it professional quality. This only worked because Claude had all my context from the Project—it understood exactly what I needed without me having to over-explain everything.

The 10x Workflow

Let me walk you through exactly how I use this every day.

Step 1: Set Up Your Project Once

This is where you need to invest some real time upfront. I’d say 2-3 hours. Trust me, this investment pays off 100x over.

Here’s what to include:

1. Core knowledge: Who you are, what you’re building, who your audience is

2. Voice guide: How you want Claude to write for you, specific words and phrases to avoid

3. Templates: Your proven structures for different types of content

4. References: Research you’ve collected, competitor examples, stuff that inspires you

Step 2: Get Specific With Your Prompts

Here’s the difference between a prompt that wastes your time and one that actually works:

❌ This gets you generic garbage: “Write me a video script about productivity.”

✅ This gets you something usable: “Write a 60-second script about why morning routines fail for most people. Target busy professionals who feel guilty about not having their mornings together. Use my script template from the project files. Find an unusual story I probably haven’t heard. Make the hook impossible to scroll past.”

See the difference? Claude already has your context from the Project. Now you just need to tell it exactly what you want.

Step 3: Iterate Like You Would With a Human

Here’s something important: don’t just accept the first output. Push back the same way you would with a human collaborator:

• “This sounds too AI-generated. Can you make it more conversational?”

• “The hook isn’t surprising enough. Can you find a better story?”

• “This feels too preachy. Make it sound like advice from a friend, not a lecture.”

• “There’s too much corporate language in here. I would never say ‘leverage’ or ‘optimize.’”

Claude responds really well to this kind of specific feedback.

Step 4: Save Your Winners Back to the Project

Whenever Claude creates something great, add it to your project files. Your best prompts, your highest-performing scripts, your refined templates.

Here’s why this matters: every future conversation now builds on your best work, not your average work.

5 Tips That Took Me Months to Figure Out

1. Create Separate Projects for Different Types of Work

I keep different projects for different workflows: content creation, client work (actually one per client), technical projects, personal writing. Each one has completely different context and requirements, so mixing them just creates confusion.

2. Upload Transcripts From People You Admire, Not Just Your Own Work

This was a big unlock for me. I uploaded transcripts from content creators I study and admire. Now when I ask Claude for hooks, it references proven formulas from actually successful content—not just generic advice it pulled from somewhere.

3. Use Claude for Research First, Then Create

Here’s a workflow I love: ask Claude to find obscure stories or research on a topic, then use what it finds in your scripts. The combination of web search plus your project context plus creative writing is incredibly powerful.

4. Save Great Conversations as Project Knowledge

Whenever a conversation produces a really great prompt or an unexpected insight, I extract the key parts and save them as a document in my Project. Future conversations benefit from discoveries I’ve already made.

5. Be Really Specific About What You Don’t Want

My project includes explicit anti-patterns. Things like: “Never use ‘not X, but Y’ sentence constructions” and “Avoid phrases like ‘game-changer’ and ‘next level.’” This eliminates the need to fix the same annoying patterns over and over again.

The Real ROI

Since I set up my Claude Project properly, here’s what I’ve been able to produce:

1. A 100+ day content calendar packed with unique video ideas

2. 50+ podcast episode concepts with viral-worthy titles

3. Complete product documentation for my side project

4. Interactive prototypes I can actually share with potential users

5. A full YouTube series outline with detailed episode breakdowns

6. Dozens of video scripts that genuinely sound like me

And I did all of this while working full-time.

The Bottom Line

Claude Pro at $20/month (now 5x Max) is genuinely the best investment I’ve made for my side projects.

Here’s what each piece gives you:

• Projects turn Claude from a forgetful chatbot into a context-aware colleague who actually knows your work

• Artifacts turn conversations into real deliverables you can download and use immediately

• Memory means you never have to explain yourself twice

The productivity gain here isn’t marginal. It’s transformational.

Set up your project properly. Invest the time in your knowledge base upfront. Then watch what becomes possible.

Now go build something.

Got questions? DM me @bleso_a on Instagram

A founder decides to launch a wallet brand.

He does the hard part first.

He flies to China.
Meets suppliers.
Touches materials.
Chooses finishes.
Fixes packaging.
Pays for production.

A few weeks later, the first batch of wallets is ready.

Then reality hits.

“I need a website to launch this thing.”

So he does what most founders do.

He looks for a design agency.

He finds one quickly.
They’re good.
They’ve worked with brands before.

Their quote?

£3,000
For a simple marketing website.

Now here’s the problem.

He’s already spent most of his money on:

• Inventory

• Shipping

• Packaging

• Samples

• Duties

There’s no £3,000 left for a website.

So the idea stalls.

Until one night, scrolling Instagram, he sees one of my videos.

The video talks about how founders are:

• Building websites

• Prototyping apps

• Testing ideas

…using AI.

No agencies.
No long timelines.
No big budgets.

He thinks:

“This is exactly what I need.”

He comments “build.”

I send him a DM with a short list of AI tools.

Three hours later:

• Website live

• Brand story written

• Product images laid out

• Checkout link connected

Total cost?

£15 in subscriptions.

That’s not a motivational story.
That’s just what’s happening right now.

The Tool I Now Recommend First

If that founder came to me today, I wouldn’t start with a long list.

I’d start with this tool called - Anything

Because most founders don’t want five tools.
They want one place to test an idea properly.

With Anything, you can:

• Describe your idea in plain English

• Generate a full-stack app (frontend + backend + database)

• Build the marketing website and product in one place

• Add auth, payments, dashboards

• Export real code if you want to scale later

This is what turns:

“I have an idea”
into
“I have something live.”

If the wallet founder used Anything, he wouldn’t just launch a site.
He could test demand, collect payments, and iterate — all in the same tool.

The Vibe-Coding Stack (If You Want More Options)

If you want to mix and match, here’s what founders also use:

Replit

Great if you want to stay close to real code and build fast.

Lovable

Perfect for clean, modern marketing pages without design stress.

Base44

Strong for MVPs with logic, dashboards, and workflows.

Framer

Best when visuals and brand polish matter most.

ChatGPT

The thinking layer behind everything — copy, structure, clarity.

The Real Shift Most People Are Missing

This isn’t about replacing developers.

It’s about deciding faster.

AI lets you:

• Validate ideas quickly

• Save money early

• Spend later with confidence

If the idea works, rebuild properly.
If it doesn’t, you didn’t burn £3,000 finding out.

Now, Dave’s not a Hollywood director with a 100-person crew behind him. He’s just one of those people who knows how to work smart with AI. And what he pulled off with this trailer? Honestly… it’s the clearest example I’ve seen of where the future of filmmaking is headed.

Every single part of the trailer was built with AI — from the script to the visuals, the voices, even the lip-syncing.

Let me show you exactly how he did it:

💡 The AI Stack Behind “Mind Tunnels”

Dave carefully stitched together some of the most powerful tools out right now:

• ElevenLabs v3 Alpha – This handled the voiceovers. Emotive, believable character voices with tone, pacing, and depth. With no need for actors in a booth, and it still feels human.

• ChatGPT – The script was co-written using ChatGPT. It helped shape the dialogue and story structure, speeding up the writing process and allowing for quick revisions. Dave could bounce ideas, shape dialogue, and test story arcs in minutes instead of days.

• Midjourney v7 – For the visuals. It created full scene concepts with mood, texture, and detail. Think: cinematic-quality stills that look like they belong in Blade Runner or Dune.

• Kling 2.1 Master, Veo 3, and Higgsfield – These are some of the most advanced video generation tools available. They turned Midjourney’s stills into living, moving shots — with camera pans, character movement, and atmosphere. The final effect feels like something you’d expect from a Netflix sci-fi series.

• Heygen Avatar IV – This handled the lip-sync. When the characters speak, their mouths move in perfect sync with the voiceovers. It removes that “AI uncanny valley” feel — and actually sells the realism.

• Magnific & TopazLabs – Used for upscaling. Basically, they sharpen and enhance every frame to get that polished, high-resolution look. No more fuzzy edges or pixelated scenes.

• Adobe Premiere Pro – Even though the bulk of the content was AI-generated, Dave still used Premiere Pro to put it all together. Timeline edits, color grading, sound mixing, transitions — this is where the trailer really got its final touch.

If you need help using AI to build content pipeline for brand and business. Fill out this form

What makes this special isn’t just the tools — it’s the intentional way they were used together. It’s a glimpse into what creative people can do with AI at their fingertips.

Dave’s been vocal about this too. At IndieWire’s Future of Filmmaking Summit, he talked about how AI isn’t here to wipe out filmmakers — it’s here to give them new creative weapons. Faster prototyping. Easier pitching. The ability to test entire worlds before spending real money on production.

We’re witnessing a shift.

Not long ago, you needed a full crew and studio budget to create something like this. Now? It’s possible from a laptop — as long as you know what you’re doing.

More creators. More bold ideas. And more ways to bring stories to life without waiting for permission or funding.

Check out the Mind Tunnels trailer if you get a moment. It’s not perfect — but it’s a sign of what’s coming.

Catch you soon,
Blessing

Stay LockedIN

P.S. I’m keeping a close eye on tools like these. They’re not just for filmmakers — they’ll be game-changers for creators, educators, and even marketers. The future of content is looking different… and honestly, more exciting.

The Insane Growth That Changed Everything

Two days ago, this Instagram account didn't exist. No followers. No videos. No strategy.

Now? 230,000 followers. 19 million views.

From just 13 videos — all made with Google's VEO 3. ( as the time of writing)

This isn't just another viral moment. This is proof that we've hit a turning point in content creation. For the first time ever, you can go from zero to a full-blown personal brand without touching a camera, hiring a crew, or spending thousands on equipment.

Why This Matters for Your Business RIGHT NOW

If you've ever said "I want to build a brand but don't know where to start" — this is your moment.

What used to take months of planning, filming, and editing can now be done in a weekend. VEO 3 isn't just another AI tool — it's the shortcut entrepreneurs have never had before.

The numbers don't lie:

• 230K followers in 72 hours

• 18M+ views from 13 videos

• Zero traditional production costs

• Complete scalability

This tutorial breaks down their exact strategy using the "Stormtrooper Vlog" format they pioneered — cinematic, authentic-feeling content that audiences can't stop watching.The Complete Workflow

Step 1: Script Generation with AI (ChatGPT or Claude)

Tool: ChatGPT (free tier) or Claude
Purpose: Generate compelling scripts and storylines

How to do it:

1. Sign up for a free ChatGPT account or use Claude

2. Use this prompt structure for your script:

Create a dramatic, selfie-style vlog script for [your character/brand]. The scene should include:
- A setup: Where are we? What's happening?
- Chaos element: Something goes wrong or unexpected
- Character interaction: Maybe an argument or comedic moment
- Strong ending: Punchline, reaction, or cliffhanger

Make it feel authentic, like someone really recorded this moment during a crisis.

Pro Tips:

• Start with a clear setup to orient your audience

• Add chaos - something always goes wrong

• Include character interactions (arguing with Greg, calling out to teammates)

• End with impact - funny, dramatic, or mid-action

Step 2: Video Generation with Google's VEO 3

Tool: Flow (Google's VEO 3 interface)
Purpose: Turn your script into photorealistic video

Setup:

1. Go to Flow's website

2. Sign up with your email

3. Start the one-month free trial (10 free generations)

4. Important: In settings, select VEO 3 for better quality

Creating Your Video:

1. Take your ChatGPT script

2. Convert it into a visual prompt using this structure:

A cinematic handheld selfie-style [shot type], set in [environment] at [time of day]. 
[Character description] holds the camera at arm's length, [character state/emotion]. 
[Environmental details and atmosphere]. 
[Action sequence]. 
[Dialogue/monologue]: "[Your script here]"

Example Prompt:

A cinematic handheld selfie-style medium shot, set on a snowy battlefield at dusk. A stormtrooper in full white armor holds the camera at arm's length, his helmeted face perfectly framed as snowflakes swirl gently in the cold air. His armor is lightly dusted with frost and ash. Behind him, a vast frozen landscape stretches into a shallow-focus blur—explosions flicker in the distance, and streaks of missile trails arc across the twilight sky. The stormtrooper slowly pans the camera sideways, revealing another stormtrooper crouched in the snow, carefully sculpting a snowman with exaggerated focus. Back on camera, the first stormtrooper yells with urgency: "Okay so we're in the middle of an active firefight, people are screaming, and Greg's building a darn snowman."

Visual Enhancement Keywords:

• Camera style: "handheld," "shaky," "selfie style"

• Environment: "dense forest," "scratched cockpit," "snowy wasteland"

• Atmosphere: "distant blaster fire," "crackling sparks," "helmet breathing"

Step 3: Video Editing and Polish

Tools: CapCut (free) or Adobe Premiere Pro (professional)

CapCut Workflow (Beginner-Friendly):

1. Import your VEO 3 generated clips

2. Trim clips to remove dead space

3. Adjust pacing - keep it snappy

4. Add transitions between scenes

5. Layer multiple clips for storytelling

6. Export in 1080p or 4K

Adobe Premiere Pro Workflow (Advanced):

1. Create new project with appropriate settings

2. Import and organize clips

3. Use color correction for consistency

4. Add professional transitions

5. Layer audio tracks

6. Apply stabilization if needed

7. Export with optimized compression

Key Editing Principles:

• Keep cuts tight and purposeful

• Maintain consistent pacing

• Use the rule of thirds for framing

• Add subtle music or sound effects

• Ensure clear audio throughout

Need Professional Help?

We will handle your entire AI video strategy so you can focus on growing your business. From scripting to final edits, we'll create viral-ready content across all platforms while you focus on what matters most.

Simple process: Fill out our form → We audit your business → Create your strategy → You approve → Get results.

Ready to 10x your content without the headaches?

Fill out our strategy form here →

Limited spots available.

Advanced Tips for Better Results

Script Writing Mastery

• Setup: Always establish context quickly

• Conflict: Add tension or humor through problems

• Character: Give your subjects personality and quirks

• Resolution: End with impact, not trailing off

Visual Prompt Optimization

• Be specific about lighting ("golden hour," "harsh shadows")

• Include camera movement ("slow zoom," "quick pan")

• Add environmental details ("steam rising," "sparks flying")

• Specify the mood ("tense," "comedic," "chaotic")

Production Value Enhancements

• Generate multiple angles of the same scene

• Create establishing shots for context

• Use close-ups for emotional moments

• Add reaction shots for pacing

Scaling Your Content Creation

The Content Loop

1. Script in ChatGPT/Claude → 2. Generate in VEO 3 → 3. Edit in CapCut/Premiere → 4. Post and Analyze → 5. Iterate and Improve

Batch Production

• Write 5-10 scripts in one session

• Generate all videos in VEO 3 at once

• Edit multiple videos in sequence

• Schedule posts across platforms

Content Variations

• Same script, different environments

• Multiple characters in same situation

• Series format with continuing storylines

• Seasonal or trending topic adaptations

Business Applications

Marketing Content

• Product demonstrations with personality

• Behind-the-scenes company culture

• Customer testimonial recreations

• Brand storytelling narratives

Social Media Strategy

• Platform-specific formats (TikTok, Instagram, YouTube)

• Viral content templates

• Engagement-driving series

• Community building content

Sales and Conversion

• Problem/solution storytelling

• Social proof through scenarios

• Educational content that sells

• Trust-building authentic moments

Cost Breakdown

• ChatGPT: Free tier available

• Claude: Free tier available

• VEO 3 (Flow): Free trial (10 generations), then paid plans

• CapCut: Completely free

• Adobe Premiere Pro: $20.99/month subscription

Total to start: $0 (using free tiers)
Monthly cost after trial: $20.99-50+ depending on your needs

While everyone’s busy learning how to “prompt better” or build toy projects, real companies are hiring real people to build real tools with Generative AI.

How do you get in?

Before we continue the story — I’m launching a $50/month GenAI accelerator for people who are serious about learning how to land roles, build real-world projects, and turn their skills into AI-powered products.

This isn’t just a course — it’s a career and business accelerator.

We officially launch end of May, but you can sign up now and lock in a 30% lifetime discount ($35/month) as a Founding Member.

Consider this an investment to your future career, and we will do our best to make it worth every penny!

Here’s what you’ll get access to as an early supporter while we build out the main offering:

✅ Weekly GenAI tool breakdowns + foundational concepts

✅ Early access to a VC research database (who’s funding what in AI)

✅ Behind-the-scenes build updates and voting on what we add

✅ Priority access to the community projects when it launches

✅ Lifetime 30% discount — you’ll always pay less than everyone else

If you're serious about starting a career with AI as a builder, landing a role, or launching your own AI-enabled product — this is the place.

👉🏾 Click here to become a Founding Member

Reply to this email if you have issues signing up or you have questions before you sign up.

So now let’s continue the story.

Google recently posted a role for a Generative AI Engineer — paying up to $200,000/year.

The job? Building features using large language models, multimodal inputs (text and images), and AI infrastructure.

Not PhD-level work. Just real-world application.

Another company, Ascendion, is hiring for a remote GenAI Engineer at up to $170K/year. You’d be helping them build RAG systems, AI chatbots, and tools that automate workflows across clients.

Even creators are getting in on it.

Chris Williamson, host of Modern Wisdom, hired a GenAI engineer to build a system that understands all his content — so he can search podcast transcripts and videos and get smart, personalized answers from his own body of work.

This is happening right now.

Companies — big and small — are actively hiring people who can build real, useful tools with Generative AI.

And these aren’t isolated cases. Based on industry data:

• GenAI Engineers average $150K+ in the US, with roles reaching $375K in top companies like Anthropic.

• In the UK, salaries are around £90K, with remote roles paying $145K–$220K.

• Employers range from tech giants like Google, Microsoft, Meta, and AWS, to financial firms, consultancies, and GenAI startups.

Common GenAI Engineer responsibilities include:

• Building chatbots, virtual assistants, and internal knowledge tools

• Integrating APIs from GPT-4, Claude, or Cohere into real applications

• Designing prompts, pipelines, and user-facing AI experiences

• Developing RAG systems using LangChain and vector databases

• Collaborating cross-functionally to launch GenAI into products

What’s being built right now? (Real-World GenAI Use Cases)

Customer Support & Automation: Companies like Best Buy use LLMs to handle tech support and rescheduling. Zalando launched a multilingual GPT assistant that boosted engagement by 23%. Engineers here build context-aware bots using company-specific data.

Content Summarization & Ads: Amazon uses GenAI to summarize product reviews and write descriptions. JPMorgan Chase increased ad CTR by 450% using GenAI copywriters. Engineers automate content workflows and model fine-tuning.

Personalized Assistants: Morgan Stanley’s GPT-4 advisor tool is used by 98% of internal staff. In healthcare, AI assistants give personalized guidance. Engineers here build secure RAG pipelines with expert databases.

Creative Media & Marketing: Coca-Cola and Heinz use image generation models in campaigns. Netflix uses GenAI to personalize thumbnails. Engineers integrate image/text models for cross-modal experiences.

Industry-Specific Applications: Healthcare (virtual nurse), law (contract analysis), fashion (AI stylists), education (AI tutors), and retail (shopping advisors) are all actively hiring GenAI talent. Google Cloud has documented hundreds of such use cases.

The GenAI Tech Stack (Skills in Demand)

To get hired, GenAI engineers need to be fluent in:

• LLM APIs: GPT-4, Claude, LLaMA 2

• Orchestration: LangChain, LlamaIndex

• Vector Stores: Pinecone, Weaviate, FAISS

• Deployment: Streamlit, Gradio, Docker

• Cloud Services: Azure OpenAI, AWS Bedrock, Google Vertex AI

• Monitoring: Weights & Biases, LangSmith, PromptLayer

RAG (retrieval-augmented generation) is a must-know skill.

Tools like LangChain + Pinecone are now standard in job descriptions.

VCs Are Betting Big on GenAI

If you're thinking about building, not just working — the funding is already here:

• a16z: Backed Character.AI ($150M), Jasper, Synthesia

• Sequoia: Backed Harvey (GenAI for legal) at $3B valuation

• Lightspeed: Funded Mistral AI (open-source LLMs) and Hugging Face

• Greylock: Invested in Inflection AI (Pi assistant) and Perplexity

• Kleiner Perkins: Backed Together AI and Runway ML

Well-funded startups also mean well-paying GenAI jobs. Many of these firms are hiring fast across engineering, product, and research roles.

Blueprint: How to Become a GenAI Engineer (Step-by-Step)

1. Master GenAI Tools:

• Use GPT-4, Claude, LangChain, Pinecone

• Learn prompt engineering and RAG workflows

2. Build Real Projects:

• Chatbot using your own data (RAG)

• AI content generator (copy + image)

• Fine-tuned LLM for a niche domain

3. Share Publicly:

• Document your projects on GitHub

• Write Medium posts or LinkedIn breakdowns

• Create visual demos or open-source your code

4. Stay Updated & Show Passion:

• Follow the latest model releases and papers

• Let your curiosity drive your learning

This exact system is what helped me land my first $100K GenAI role — and what we will be teaching in the GenAI accelerator, and more.

In 2021, I landed my first AI Engineer role.

It was a big deal for me — not just because of the job title, but because of everything around it.

I had spent the previous two years working full-time as a data scientist, building my experience in machine learning, data pipelines, and solving real problems with code.

Then this opportunity came up: a company that had just raised $12 million was looking for someone to help build with generative AI and large language models — and they offered me my first six-figure salary in dollars.

Back then, the world hadn’t really caught on to what GenAI was. ChatGPT didn’t exist. Prompt engineering wasn’t a buzzword. But I could already see where it was going.

Now, we’re here. That shift I saw coming in 2021 is happening right now — in full force.

Since then, I’ve built AI tools for businesses, led GenAI projects, and developed products using GPTs, Claude APIs, vector databases, LangChain, and other tools that are now becoming mainstream.

Generative AI is the new software layer for business.

Let me explain what I mean by that.

A few years ago, businesses were racing to become “tech companies.”

They hired engineers, built dashboards, automated workflows, and tracked data. If you weren’t using software to move faster, you were behind.

Now we’ve entered a new phase.

This time, it’s not just about automating tasks. It’s about building systems that understand what you want, learn from context, and generate value — with almost no friction.

That’s what generative AI does.

Here’s what it looks like in real life:

Imagine running a business with thousands of customer reviews, support tickets, and survey responses. Before, you’d need a full team to sort through it all and figure out what customers want.

Now?

You just ask:

• “Hey AI, what are our top customer complaints this month?”

• “Write 10 email variations to re-engage churned users.”

• “Summarize this 40-page product spec in one paragraph.”

No code. No meetings. No waiting.

This is why companies are hiring GenAI engineers, prompt specialists, and AI builders. Not to play with tools — but to turn ideas into systems that save time or make money.

Do you want to go deeper?

I’m putting together a $50/month masterclass (Sign up here to get in early) for people who are serious about learning how to land Generative AI roles — especially if you’re pivoting into this space or building your first portfolio.

But here’s the thing: This isn’t just a course. It’s a career and business accelerator.

I’m building it for two types of people:

1. Those who want to land high-paying GenAI jobs

2. Those who want to build and monetize their own AI-powered products

Here’s what you’ll get:

• How I landed my first $100K+ GenAI job

• What hiring managers actually look for

• What to build (even if you're new)

• How to position yourself for remote roles

• The exact tools, workflows, and projects that matter in 2025

• How to create a profile that gets attention

• How to turn your GenAI skills into a real product or business

• A database of VC firms actively investing in AI startups

• Weekly, industry-grade trend reports to help you stay ahead

And this isn’t just theory.

Before I even started building the LockedIN mindset and app, I launched an AI podcast platform that gained paying customers and rivaled tools from companies like Google and ElevenLabs. We eventually shut it down to focus solely on LockedIN.

So everything I teach is based on what I’ve actually done — and what’s working in the real world.

For a while now, I’ve been working on the LockedIN Focus mobile app — a tool to help people build habits, stay disciplined, and get things done.

But for me, LockedIN isn’t just a brand. It’s a lifestyle. That means not just talking about focus and execution — but actually living it.

So alongside the app, I’ve been building this 10-week masterclass for people who want to become GenAI Engineers or founders.

It’s based on my own journey — from landing a six-figure GenAI role in 2021, to building AI tools for businesses, launching my own startup, and helping others do the same.

I’ve seen how fast this space is growing — and I want to help others get in early, with clarity, confidence, and the right skills.

But I’m not rushing this.

I want it to be real. Practical. And worth every second of your time.

That’s why I’m taking time to build it properly — and the full program will launch around end of May.

Until then, I’ll be sharing behind-the-scenes updates, building in public, and opening up a waitlist for those who want early access when it’s ready.

If that’s you — 👉 Click here to join the founding members

This year, I’m not just talking about being LockedIN. I’m doing it.

Let’s build something that matters.

– Blessing

I’ve talked about mindset shifts, habits, and staying motivated.

But after hearing from so many of you, I realized something important…

Motivation isn’t the problem. The real struggle is Having a system that actually helps you take action.

Imagine this…

A tool that doesn’t just remind you to stay consistent—but actually guides you to execute.
A system that adapts to your focus, energy, and habits—helping you push through distractions.
A community that challenges you, keeps you accountable, and makes sure you follow through.

That’s exactly what I’m building with the LockedIN Mobile App.

• AI-powered habit tracking – Stay on track effortlessly

• Community support & challenges – Accountability that drives action

• Future wearable integration – Optimize focus, energy, and recovery

This isn’t about inspiration—it’s about execution. And I want to build it with you, for you.

👉 Click here to Join the waitlist now and help shape the future of LockedIN.

Click Here

Your feedback has already influenced the direction of LockedIN. Now, let’s take the next step together.

🔥 Stay focused. Stay disciplined. Stay LockedIN. 🔥

Talk soon,
Blessing

It was a goal I had been grinding for—sharpening my skills, building relationships, proving I could lead. And when I finally got the offer?

Man, it felt amazing. A new title, more responsibility, more recognition—everything I wanted.

But then, something weird happened.

A few weeks in, that rush of excitement started to fade. And this little voice popped up in my head:

"Okay… so now what?"

I had spent so much time chasing this moment that I hadn’t really thought about what came after.

Was I just supposed to keep climbing the ladder?

Was that the game now—just stacking promotions until retirement?

That’s when it hit me.

I had been playing a finite game.

The Problem With Finite Goals

Finite goals are like checkpoints. You set a target, you push hard, and when you finally hit it… the game stops.

• Lose 10kg. (Cool. Now what?)

• Make six figures. (Nice. What’s next?)

• Get a promotion. (Congrats bro! But… where do you go from here?)

And this is where most people get stuck.

Some lose momentum—they hit the goal, and then just drift. Others chase the next big milestone without asking if they even want what’s on the other side.

That was me. I got the promotion, but I wasn’t sure what game I was playing anymore.

Shifting to an Infinite Mindset

So I flipped the script.

Instead of obsessing over job titles, I started asking myself:

• What kind of impact do I actually want to have?

• What skills do I need to master to be valuable—no matter my title?

• How do I make every step of the journey fulfilling, not just the “wins” along the way?

That shift changed everything.

Suddenly, it wasn’t about just “getting promoted.” It was about becoming a leader, a mentor, someone who could elevate teams, drive strategy, and make an impact.

See the difference?

One goal has an endpoint. The other is a game you never stop playing even outside of the workspace.

How to Convert Your Goals to Infinite Goals

Here’s how you make the shift:

1. Turn destinations into identities.

   • Finite: “I want to make six figures.”

   • Infinite: “I am someone who builds financial freedom and control.”

2. Focus on the process, not just the prize.

   • Finite: “I want to get promoted.”

   • Infinite: “I want to master leadership, so I’m always ready for the next level.”

3. Measure growth, not just wins.

   • Instead of only celebrating the goal, track the habits, skills, and consistency that got you there.

Are You Playing the Right Game?

Take a second to think about your biggest goal right now. Ask yourself:

• Is this a game that ends? Or one I want to keep playing?

• Am I chasing a result, or am I becoming the kind of person who naturally achieves it?

Because staying LockedIN isn’t about just checking boxes. It’s about playing the long game—the one that never ends.

Stay focused. Stay disciplined. Stay LockedIN.

- Blessing

I was tired—not just physically, but that kind of low-energy, unmotivated tired where you don’t even want to think. The kind where you tell yourself you’ll rest, but instead, you pick up your phone and start scrolling.

Doom scrolling.

One reel after another, mindlessly flicking through content.

Not looking for anything—just moving through the motions. It wasn’t relaxing, but I wasn’t doing anything else either.

And then, out of nowhere, I found it.

Annatoria’s cover of Lawrence Oyor’s "Favour." (both are Gospel Artists)

I don’t know what made me stop, but I did.

Maybe it was the melody, maybe it was the way she sang it, or maybe I just needed to hear those words in that exact moment.

Whatever it was, it hit differently.

I listened once. Then again. And before I knew it, I was five plays deep, then straight to YouTube for the full version.

And then something strange happened.

I didn’t just hear the song—I felt it. Not in a passive, background-music way, but in a call-to-action kind of way.

My mind started racing.

What do I need to start? What have I been procrastinating on? Why do I suddenly feel the urge to move?

I didn’t jog—but I felt like I could.
I didn’t start a new project—but I felt like I should.
I wasn’t even planning to do anything—but now I couldn’t sit still.

That’s when I noticed a pattern.

Music as a Trigger for Action

This wasn’t the first time this had happened.

• Some days, a powerful song would push me into a workout when I didn’t feel like moving.

• Other times, it helped me reset mentally, like clearing out mental clutter with every verse.

• On the hardest days, it reminded me that I’m still here, I’m still breathing, and I still have work to do.

This isn’t just about faith or worship music—it’s about how sound influences action.

Why Certain Songs Activate You

Think about it:

• Movies use soundtracks to dictate how you feel in a scene.

• Athletes use music to hype themselves up before a game.

• Workplaces use background music to keep employees engaged.

• Even stores play specific music to make you shop longer.

Music doesn’t just entertain—it programs behavior.

For me, worship music does that because of my faith. But for you, it could be something different. Maybe it’s a motivational speech, a hype song, or even the quiet hum of lo-fi beats that puts you in the zone.

Whatever it is, you’ve probably felt it before—the moment when music flips a switch inside you.

From Inspiration to Execution

But here’s the real test: What do you do with that energy?

I could’ve just let the feeling pass. I could’ve gotten hyped for a moment and done nothing with it. But I know better now—when I feel that internal spark, I act on it.

So, I grabbed my laptop and started writing this.

That’s the point. Activation means nothing without action.

Next time you feel that spark—move.

• If a song makes you want to write—start typing.

• If a sound makes you want to run—lace up.

• If a message makes you want to build something—take the first step.

That moment of stirring is a signal. Don’t waste it.

The LockedIN Mindset Takeaway

Music is a tool. It can push you forward or hold you back. The difference is in what you do with it.

Pay attention to what stirs you up. Use it. Move on it. Don’t let the feeling fade without turning it into something real.

If this newsletter resonated with you, let me know how—it’d mean a lot to read your thoughts.

Stay LockedIN. Stay Moving. Stay Executing.

— Blessing

And in the process, we’re leaving behind the tangible skills we should be learning, while mindlessly chasing the next AI hype train.

Take a moment and think about this—you reading this blog, for example. I mean, isn’t that why you’re here? Somewhere deep down, you probably agree with what I’m saying, right?

On one hand, there’s you, consumed with anxiety about how AI might impact your future.

And on the other, AI companies are busy running flashy marketing campaigns, hyping up their latest model releases, and fueling even more fear about the arrival of "AGI."

This creates a vicious cycle—your fear fuels their hype, and their hype amplifies your fear.

Instead of focusing on growth and building your skills, you’re caught in an endless loop of worry and distraction.

You:

“Oh, o1-Pro just launched! I need to try it.”
“This model is incredible; it’s definitely going to replace my job.”
“I have no reason to learn coding again, since o1 can do it in seconds”
“If AI is this good in generating videos and images, why do I have to learn photography or videography”

This article:

Stop it!

These internal conversations are sabotaging your drive to pursue what I’ll soon explain as the key components of intelligence.

My goal with this piece is to help you break free from those thoughts—or at least understand why it’s crucial to keep building your skills, whether independently or with the aid of AI.

It’s no doubt that an inflection point of AI is coming - It’s the moment when AI stops being a tool that helps you work faster and smarter—and starts replacing you altogether. But I want to prepare you for this moment; where you can thrive irrespective of the skills that you have, and learn to adapt.

Welcome to The LockedIN Mindset Series! This week, we will explore how to regain control from AI and build the intelligence needed for the life we want to live.

The Bigger Problem: Diminishing Intelligence

Our intelligence is slowly diminishing because we are giving away our time and craft to AI. We are becoming lazy.

Rather than learning a new programming language concept, we let ChatGPT write the code.

Rather than writing our thoughts in a newsletter, we turn to Claude to draft a robotic piece without any of our imprint.

We can’t even think properly anymore. At the slightest request for our brain to do some work, we let a model do the thinking for us.

This is hurting us.

And if you’re wondering what intelligence really is—it’s the ability to learn, understand, use knowledge to solve problems, make decisions, and generate new ideas.

Are we doing any of this now? That’s an important question that we have to ask ourselves.

Let me give you an example: I recently purchased a book that I thought would educate me on the intended topic it was written about.

The book was well advertised and branded as something I could genuinely learn from. I paid for it and received access to the digital copy.

To my greatest surprise, the book was entirely written by AI. It was poorly formatted and lacked the qualities of a great learning material.

If I simply wanted to learn about the topic with AI, I could have asked ChatGPT to generate text in response to my question.

However, I wanted to learn from the writer’s innovative ideas. Unfortunately, because the writer was lazy, they let AI do all the writing for them.

They didn’t even try to humanize it. It was a terrible reading experience. I had to ask for a refund.

This is a scary reality that we now live in. We have to reevaluate and take back control.

What Is Intelligence, Really?

When you think of intelligence, you might associate it with being “smart.” But it’s much deeper than that.

Let’s go back to when you were a kid.

You learned something new, processed it in your own way, and could recall it later. This ability to recall and use information is memory.

Then, you used that information to think through new tasks or make decisions. This is reasoning.

Proper reasoning lets you solve problems, overcome challenges, and find innovative solutions. That’s problem-solving.

But it doesn’t stop there. Intelligence also includes creativity—the ability to generate ideas and think outside the box.

That’s how you’ve been able to form new ideas, express them, and have a mind of your own.

In summary, intelligence, from a cognitive perspective, includes:

• Learning: Acquiring new knowledge or skills.

• Memory: Retaining and recalling information.

• Reasoning: Logical thinking and decision-making.

• Problem-Solving: Overcoming challenges and finding solutions.

• Creativity: Generating innovative ideas or thinking outside the box.

How AI Mimics Intelligence

AI today simulates aspects of human intelligence. It processes vast amounts of data to generate outputs that resemble learning, memory, reasoning, problem-solving, and even creativity.

But these processes are fundamentally different from how humans operate.

AI doesn’t truly learn—it identifies patterns in pre-existing data. It doesn’t possess memory in the human sense, but rather stores and retrieves information from its training dataset.

AI’s so-called reasoning is statistical prediction, not true logic or understanding. Its problem-solving relies on algorithms, and its creativity is a recombination of existing ideas, not original thought.

The issue is, while AI lacks genuine intelligence, we are increasingly allowing it to perform these tasks for us.

By handing over our learning, reasoning, and creativity to AI, we rob ourselves of the opportunity to practice and develop these essential abilities.

AI hasn’t achieved true intelligence, but our reliance on it is diminishing our own. This is the challenge we must address.

Tools and Intelligence: A History of Balance

To fully see why this is a challenge we must address, lets see how we’ve adapted to new technologies.

As humans, we’ve always adapted to new tools while maintaining our intelligence.

Take calculators. Even with their invention, we still learned mathematical concepts like the Pythagorean theorem. Calculators didn’t replace learning—they improved it.

Or consider smartphones. We use them to save contacts, but we still memorize the phone numbers of our loved ones.

The point is, we found a balance. Tools complemented our intelligence without replacing it.

But now, we are slowly delegating our cognitive processes to AI, and this imbalance will hurt us in the future.

What Does It Mean to Delegate Intelligence to AI?

When we delegate intelligence to AI, we do one or more of the following:

1. Outsourcing Thinking
   We let AI do the critical thinking, problem-solving, and creativity for us. Just three years ago, AI (Large Language Models) wasn’t this advanced, and we still had to rely on our brains. Now, AI might slowly be replacing our thinking gear, but at what cost?

2. Automating Decision-Making
   AI is now making choices for us without us fully engaging in the process. Imagine taking pictures of clothing options while shopping and asking AI to pick for you. You rob your brain of the opportunity to evaluate and decide based on personal preferences.

3. Reducing Cognitive Effort
   When you don’t come up with ideas or solve problems on your own, you reduce the mental effort needed for growth. Constantly relying on AI for answers, we bypass the struggle and persistence that sharpens our intelligence.

The Goal: Regain Balance

We’ve always been motivated by technological advances, and that’s a good thing. But we have to address the problem at hand.

If you overcome this over-reliance, you’ll retain a mind of your own and also use AI as a tool to amplify your capabilities.

Here’s how you can regain balance:

If you love this piece so far, you’d enjoy connecting with me in the LockedIN Mindset community - a community to help you achieve personal success. Fill out this form to share your pain points so I can know how to help.

Steps to Overcome Over-Reliance on AI

1. Develop Cognitive Resilience
   In a paper by Nature Communications - “The Eighty-Five Percent Rule for Optimal Learning,” researchers set out to find the best way for humans—or even machines—to learn new ideas.
   
   They discovered there’s a sweet spot where learning happens fastest. It’s when the difficulty isn’t too easy or too hard.
   
   The magic number is - You get things right 85% of the time and make mistakes 15% of the time.
   

   Here’s why that matters: when you make mistakes at this rate, your brain becomes more plastic—more adaptable and ready to learn.
   
   Those moments right after an error are when your brain is most prepared to grow.
   
   The struggle to overcome a challenge fires up your neural connections, making them stronger and sharper.
   

   But let’s be honest, we’re skipping this entire process now. The second we hit a snag, we throw it into ChatGPT or some other AI tool.
   
   No thinking, no effort—just copy, paste, and move on. And while that might feel efficient, it’s cutting us off from the real work of learning.
   
   When you let AI do all the heavy lifting, you miss the chance to stretch your brain, solve problems, and get better at what you do.
   
   Learning is a journey of figuring things out, making mistakes, and then having that “aha” moment - so it is more than just finding the right answer.
   
   Real growth happens in that “aha” moment.
   
   But when you skip the journey, you lose the chance to build resilience—the ability to tackle hard things and come out stronger on the other side.
   

   So, what can you do? Push yourself.
   
   Take on tasks that force your brain to work. Let yourself make mistakes.
   
   Instead of running straight to AI for answers, try solving the problem yourself first.
   
   Use AI to refine or clarify, but not to replace your effort.
   
   The goal is to stay engaged and keep your brain active, not hand over all the work to a machine.
   

   This is how you build real cognitive resilience—by embracing the challenge, leaning into the mistakes, and letting your brain do what it was built to do: grow, adapt, and thrive.
   

2. Practice Intentional Learning
   Practice Intentional Learning rather than passive learning.
   
   What is Intentional Learning?
   
   It is a cognitive process aimed at learning as a goal rather than an incidental outcome.
   
   This approach plays a significant role in improving intelligence and promoting brain health.
   

   In the paper "Learning Differentially Reorganizes Brain Activity and Connectivity," researchers explain that intentional learning stimulates neuroplasticity—the brain's ability to reorganize itself by forming new neural connections.
   
   This means that actively engaging in the learning process strengthens the brain's adaptability, improving memory, problem-solving skills, and critical thinking.
   

   The goal here is to build independence and reduce reliance on external tools, especially AI.
   
   Instead of simply consuming information or offloading tasks, we need to take charge of our learning by actively engaging with materials, solving problems manually, and reflecting on the process.
   
   Intentional learning is about doing the hard work that trains your brain to think, adapt, and grow.
   

   To approach learning differently:

   • Set clear objectives for what you want to learn and why.

   • Engage deeply by taking notes, asking questions, and testing your understanding.

   • Use tools like AI sparingly, only to clarify concepts, not to replace effort.

   • Apply what you’ve learned in real-world scenarios to reinforce your knowledge.

   In 2025, one of my personal goals is to learn two new programming languages/frameworks without heavy reliance on AI, but using AI as a complementary tool.
   
   My hope is that this will help me develop expertise while retaining knowledge.
   
   

3. Focus on Interpersonal Skills
   AI is everywhere, creating content and automating tasks, but it can’t replace what makes us human.
   
   It can’t connect emotionally, build trust, or communicate with authenticity.
   
   That’s why interpersonal skills like emotional intelligence, empathy, and clear communication are more important than ever— to help you stand out and also improve your intelligence.
   

   Interpersonal skills are directly tied to intelligence.
   
   Engaging with others challenges your brain in ways AI tools never can.
   
   Listening actively, reading emotions, and responding thoughtfully require problem-solving, reasoning, and adaptability—key components of intelligence.
   
   When you work on these skills, you’re improving your relationships, training your brain to think critically, process complex information, and generate new ideas.
   

   AI-generated work is starting to look the same. What stands out now is your ability to add a human touch.
   
   Empathy and authenticity create meaningful connections, while emotional awareness makes you a better leader and collaborator.
   
   These are skills that AI cannot and will never replicate, and they are the very abilities that make intelligence dynamic and adaptable.
   

   To strengthen your intelligence through interpersonal skills, start simple.
   
   - When someone speaks, truly listen.
   
   - Think about how emotions—yours and theirs—affect actions and outcomes.
   
   - Consider perspectives other than your own before responding.
   
   - Communicate clearly and genuinely.
   
   These practices push your brain to engage in reasoning, empathy, and creativity—all while building stronger connections.
   

   In a time where AI is becoming a tool for everyone, being human is what sets you apart.
   
   Developing interpersonal skills not only makes you valuable but also strengthens your intelligence, keeping your brain active, flexible, and ready to take on challenges AI could never handle.

Conclusion

AI is a powerful tool, but it’s not a replacement for your mind.

We need to take control of our learning and decision-making.

We must strive to create a balance where AI complements our intelligence instead of replacing it.

We need to take a break from jumping on the next hype train. Take a breather.

Let’s keep our minds sharp, embrace new technologies responsibly, and use AI to improve - not diminish - our potential.

P.S.: To be clear, I am not saying you shouldn’t use AI. Of course, I used AI to generate ideas for this article, ask questions, and check grammar. But these are mainly the big ideas I wanted to express to the world—thoughts that live in my head during those bathroom moments and notions I’d love to dispel about our ability for creative expression and intelligence. I just want us to use AI without becoming lazy.

If you love this piece, you’d enjoy connecting with me in the LockedIN Mindset community. Fill out this form to share your pain points and express your interest.

We’ve got Big news in the world of AI.

A company from China, DeepSeek, has just dropped something game-changing—a model called DeepSeek-R1.

If you’re wondering why this matters, let me break it down in simple terms.

What’s the deal with DeepSeek-R1?

DeepSeek-R1 is an open-source AI model, meaning anyone can access it, modify it, or even build something new with it—for free.

And it’s not just any AI model; it’s designed to perform tasks like complex math, logical reasoning, and even coding.

Oh, and here’s the kicker: it’s doing all this as well as—or better than—OpenAI’s popular o1 model.

It gets even better.

DeepSeek-R1 is cheap. Like, ridiculously cheap. If OpenAI’s model costs $100 for a task, DeepSeek will do it for just $3. Yes, you read that right—3%.

To put this in perspective:

• Imagine Tesla sells a car for $50,000. Then another company comes along with a car just as good—maybe even better—for $1,500. Which one would you buy? Exactly.

That’s essentially what DeepSeek is doing in the AI world.

Before you move ahead, I’d love to make this community better for you, so please give me your thoughts here. After, you can come back to enjoy this piece.

Why does this matter to you?

Let’s look at real-life examples of what this could mean:

• Education: Picture a school creating a personalized AI tutor for students, helping them solve math problems or learn new skills. Before DeepSeek, this might’ve cost a fortune—now, it’s affordable for even the smallest schools.

• Small Businesses: Maybe you’re running a local shop and want an AI chatbot to answer customer questions and help process orders. With OpenAI, this might’ve been too expensive to consider. But with DeepSeek? Totally doable.

• Fitness Apps: Say you’re a fitness coach building a personal AI trainer to analyze clients’ diet and workout plans. OpenAI’s model could cost $4,500 to process data for 1,000 clients. DeepSeek? Just $150. That’s not just savings—it’s making something once impossible, possible.

What’s the catch?

Well, there’s some buzz about this being a model from China, and like any tech development, there are questions about ethics, regulations, and censorship.

For instance, Chinese AI models must align with the country’s “core socialist values,” which could mean certain limitations on sensitive topics.

Still, the fact that DeepSeek has gone open-source—making its work transparent and accessible to everyone—has huge implications for the global AI landscape.

So, what’s next?

DeepSeek isn’t stopping here. They’re planning to release more details, and even further developments.

People in the AI community are hyped, and honestly, so am I.

The bottom line? DeepSeek-R1 is a cool new model and a sign that the AI game is changing.

Costs are dropping, access is improving, and more people—yes, even you—can start imagining how AI can work for them.

What do you think about this shift in AI?

If you want to dive deeper into this or more details, I am building a more interactive LockedIN community, so please fill a form here so I can get your thoughts on what you’d love to see.

Until next time,

Stay LockedIN

Blessing Adesiji

Let’s talk about the one thing on everyone’s mind: AI is changing everything.

It’s making things faster, more efficient, and in some cases, completely replacing certain jobs.

But here’s the truth: AI isn’t here to replace you—at least not if you stay ahead of the game.

We’re approaching what experts call the inflection point.

This is the moment when AI stops being your sidekick and starts competing with you—when it shifts from helping you work better to outright replacing roles that rely on repetitive tasks or predictable processes.

Scary? A little. Avoidable? Absolutely.

Here’s the good news: there are jobs AI can’t replace.

These are the roles that lean into what makes us human—creativity, emotional intelligence, adaptability, and strategic thinking.

And then there’s the flip side: careers where you’re building or managing AI, keeping it in check.

If you can align your skills with these opportunities, not only will you thrive—you’ll also future-proof your career.

Let’s break it all down.

The Inflection Point: What You Need to Know

AI started as a helper, automating simple tasks and making workflows more efficient.

But as it gets smarter, AI is crossing a line—the inflection point—where it can start doing things independently, sometimes better than humans.

Think about data entry or language translation; AI is already outperforming us in these areas.

Here’s the thing: when AI crosses this point, certain jobs become obsolete.

Human labor in those markets simply can’t compete.

But this shift isn’t all bad news—it’s creating space for new opportunities in fields where AI complements, rather than replaces, human expertise.

Your mission? Focus on these areas.

The Skills You Need to Stay Ahead

The World Economic Forum’s Future of Jobs Report 2025 lays it out clearly: the fastest-growing skills by 2030 are the ones AI struggles with, like creativity, leadership, and adaptability.

Here’s the top 10 list:

1. AI and Big Data: Analyze and act on vast datasets.

2. Networks and Cybersecurity: Protect against evolving threats.

3. Technological Literacy: Understand and navigate emerging tools.

4. Creative Thinking: Solve problems with originality and innovation.

5. Resilience and Flexibility: Adapt to rapid changes.

6. Curiosity and Lifelong Learning: Stay open to continuous skill-building.

7. Leadership and Social Influence: Inspire and guide teams.

8. Talent Management: Attract, develop, and retain top talent.

9. Analytical Thinking: Turn data into insights.

10. Environmental Stewardship: Solve sustainability challenges.

These skills map directly to the roles that will thrive in the AI era. Let’s explore them.

AI-Resistant and Future-Proof Jobs

Category 1: Technology-Centric Roles

AI might be driving the revolution, but someone needs to build, manage, and secure it.

1. Machine Learning Engineers

   • Why It’s Safe: AI can’t train or optimize itself—it needs humans to design and fine-tune models.

   • Future-Proof Tip: Master AI frameworks like TensorFlow, and explore ethical AI design.

2. Cybersecurity Analysts

   • Why It’s Safe: With increasing cyber threats, human creativity is essential for outsmarting attackers.

   • Future-Proof Tip: Gain certifications in cloud security and AI-powered defense tools.

3. Cloud Computing Specialists

   • Why It’s Safe: AI relies on scalable cloud infrastructures that require human oversight.

   • Future-Proof Tip: Become proficient in platforms like AWS, Azure, and Google Cloud.

4. Blockchain Engineers

   • Why It’s Safe: Decentralized systems need human expertise in cryptography and governance.

   • Future-Proof Tip: Focus on smart contracts and cybersecurity integration.

5. Autonomous Vehicle Specialists

   • Why It’s Safe: AI can power self-driving cars, but humans are needed to ensure safety and usability.

   • Future-Proof Tip: Develop expertise in LiDAR and AI-human interaction systems.

6. AI Explainability Experts

   • Why It’s Safe: Trust in AI depends on humans making complex systems understandable.

   • Future-Proof Tip: Learn to interpret and explain complex AI decisions for non-technical stakeholders.

Category 2: Creative and Design-Oriented Roles

AI might generate content, but it can’t replicate human originality or cultural nuance.

7. Writers and Storytellers (Screenwriters, Novelists, Poets)

   • Why It’s Safe: Creativity, emotional depth, and cultural resonance are uniquely human.

   • Future-Proof Tip: Focus on interactive storytelling and cultural narratives.

8. Graphic Designers and UX/UI Experts

   • Why It’s Safe: Great design requires user empathy and aesthetic judgment.

   • Future-Proof Tip: Dive into AR/VR and motion design for immersive experiences.

9. Musicians and Composers

   • Why It’s Safe: Music connects with human emotion, and AI-generated tracks lack depth.

   • Future-Proof Tip: Blend live performance with AI-assisted production for unique soundscapes.

10. Game Designers and Developers

    • Why It’s Safe: Gaming is about creating immersive, player-centered experiences.

    • Future-Proof Tip: Focus on AI-driven NPCs and dynamic storytelling.

Category 3: Human-Centric Roles

Empathy, ethical judgment, and trust are traits only humans bring to the table.

11. Healthcare Workers (Doctors, Nurses, Therapists)

    • Why It’s Safe: Caring for people requires adaptability and emotional intelligence.

    • Future-Proof Tip: Use AI for diagnostics, but focus on patient-centered care.

12. Social Workers

    • Why It’s Safe: Advocacy and human connection can’t be automated.

    • Future-Proof Tip: Leverage AI for case management while focusing on personal advocacy.

13. Teachers and Educators

    • Why It’s Safe: Inspiring and mentoring students relies on human engagement.

    • Future-Proof Tip: Blend AI tools with personalized teaching methods.

14. Event Planners

    • Why It’s Safe: Customizing events and managing real-time changes require human creativity.

    • Future-Proof Tip: Use AI for logistics but focus on creating memorable experiences.

Category 4: Leadership and Strategic Roles

AI can process data, but it can’t lead or inspire.

15. CEOs and Business Leaders

    • Why It’s Safe: Vision-setting, decision-making, and team-building are human strengths.

    • Future-Proof Tip: Use AI for data insights but focus on emotional intelligence.

16. Entrepreneurs and Innovators

    • Why It’s Safe: Risk-taking and solving human problems are uniquely human traits.

    • Future-Proof Tip: Build products for underserved markets AI can’t fully understand.

17. Project Managers

    • Why It’s Safe: Coordinating teams and balancing resources require human judgment.

    • Future-Proof Tip: Adopt AI for workflow optimization while focusing on interpersonal skills.

Category 5: Sustainability and Green Economy Jobs

The global push for sustainability is creating demand for green jobs.

18. Renewable Energy Engineers

    • Why It’s Safe: Designing green systems like solar and wind requires human ingenuity.

    • Future-Proof Tip: Stay ahead by specializing in emerging technologies like hydrogen power.

19. Environmental Scientists

    • Why It’s Safe: Developing climate solutions involves fieldwork and scientific judgment.

    • Future-Proof Tip: Focus on renewable energy policies and circular economy practices.

20. Climate Adaptation Planners

    • Why It’s Safe: Mitigating climate risks requires strategic human planning.

    • Future-Proof Tip: Collaborate with AI models for scenario planning while focusing on human-centered strategies.

How to Stay Ahead of AI

Here’s your game plan:

1. Be Curious: Never stop learning. Take courses, read, and explore new tools. fill out this form I want to help.

2. Leverage AI: Don’t see AI as competition; use it as a tool to amplify your strengths.

3. Double Down on Human Skills: Creativity, empathy, and leadership will always be in demand.

Final Thoughts: Own Your Future

AI is changing everything, but that doesn’t mean it’s coming for you.

Focus on what makes you irreplaceable, and use AI as a partner, not a rival.

The future belongs to those who adapt, learn, and embrace the opportunities this shift creates.

You’ve got what it takes. Let’s get to work.

Join the LockedIN Mindset community and embrace the power of focus, discipline, action, and technology. Fill out this form to join.

This is your moment to stay LockedIN on your goals and build a future where AI enhances your potential, not limits it.

Let’s shape success together!

The year was 2023, and I had just spent a year living in Dubai—one of the most remarkable places in the world.

I got the chance to work with the Ministry of Artificial Intelligence, and if there’s one thing I learned from the Arabs, it’s this:

If they decide to do something, they execute it at the highest level of quality possible.

No shortcuts. No half-measures.

And you can see it everywhere—the skyline, the roads, the technology—it’s all designed to impress and last.

But here’s what really stuck with me:

I started asking myself every single day— "Is this the highest quality I can deliver?"

If the answer was no, I didn’t quit. I didn’t wait for motivation to hit.

Instead, I added just 1% improvement to whatever I was working on.

And that’s where the LockedIN Mindset was born.

It’s a mindset of Focus, Discipline, and Action. It’s about showing up daily and stacking those small wins—because 1% better every day doesn’t just add up; it compounds.

How I Used the 1% Rule to Level Up

Let me share a few examples of how I applied the daily 1% mindset:

1. Content Creation – When I started, I struggled to present my ideas clearly on camera. I kept improving with each video—tweaking my delivery, refining my scripts—and now I can confidently say I’m much better at communicating complex ideas.

2. Cinematography – The quality of my videos? It’s night and day compared to a few months ago. I invested time daily into improving my camera angles, lighting, and editing techniques. Most importantly - the gears! I didn’t start with the best gears, I started with my phone, and now the gear I work with is in the thousands of dollars.

3. Editing Team – Even my editor started from a basic level. But with the 1% mindset, we both worked to improve the process—faster edits, better visuals—and now we’re producing high-quality content consistently.

This is how you compound effort. Small improvements every day stack up over time.

How to Use the 1% Rule in Your Life

1. Start Small, Stay Consistent

   • Pick one area—your health, career, or learning—and commit to improving by 1% every day.

   • It could be 10 extra minutes at the gym.

   • Reading one more page of a book.

   • Sending one more email or creating one more video.

2. Track It Relentlessly

   • Write it down or use an app to keep track of your wins.

   • Seeing your progress will keep you locked in.

3. Focus on Systems, Not Goals

   • Goals are great, but systems make them sustainable.

   • Focus on building daily habits that push you toward the big picture.

4. Celebrate the Small Wins

   • Every 1% improvement counts, so celebrate the progress—not just the final result.

5. Stay LockedIN Even When Motivation Fades

   • Motivation is unreliable.

   • That’s why the LockedIN Mindset is built on discipline and action, not feelings.

Why Does It Work?

Here’s the science—your brain thrives on dopamine rewards. Every time you complete a small win, your brain releases dopamine, keeping you motivated and focused.

The 1% Rule takes advantage of this by turning progress into a habit, rewiring your brain to crave growth rather than comfort.

Your Challenge for Today

Pick one area of your life—health, career, learning, relationships—and improve by just 1% today.

It might not seem like much now, but give it 30 days, 60 days, 90 days—and see how far you go.

Final Thoughts

The Arabs taught me to approach life with excellence—to never settle for average.

And that’s what the LockedIN Mindset is about—Focus, Discipline, and Action to build habits that compound over time.

So think about your career, business, and fitness—what’s one thing you can start improving 1% at a time to churn out high-quality work?

Let’s make it happen, Stay LockedIN

Blessing

The LockedIN Mindset

If you’ve been struggling with your goals, I want to share something that might help: a book called Thinking in Systems: A Primer by Donella Meadows.

Picture this: You’re standing by a river, watching the water flow. You notice how the current shapes the riverbanks, how leaves drift along, and how one tiny pebble can send ripples far and wide. That’s how Donella Meadows sees life—as a series of interconnected systems where small actions can have powerful effects.

One of the ideas Meadows introduces is called “feedback loops.” Think about a thermostat. When your room gets too cold, it kicks on the heat. When it’s too hot, it cools things down. This is a feedback loop—it keeps things steady. Now imagine applying that to your goals. Let’s say you’re trying to exercise more. Each time you work out, you feel a little stronger and more energized. That’s positive feedback, nudging you to keep going. Recognizing these loops in your life can help you create habits that stick.

Another concept she explores is “leverage points.” These are the sweet spots where a small tweak can lead to big results. It’s like finding the perfect spot to push a heavy door—it doesn’t take much effort, but it swings wide open. If you’re overwhelmed by your goals, this idea can be a game-changer. For example, if you’re trying to manage your time better, setting a strict “no phone” rule for the first hour of your day could transform your focus and productivity without overhauling your entire routine.

What I love about Meadows’ approach is how practical it feels. She doesn’t ask you to fix everything at once or strive for perfection. Instead, she teaches you to step back, look at the bigger picture, and find the small, meaningful changes that can make a difference.

Sometimes, when we’re stuck, it’s easy to blame ourselves or think we’re just not good enough. But what if the problem isn’t you—it’s the system around you? Meadows’ book is a reminder that success isn’t always about working harder; it’s about working smarter by understanding the connections that shape your life.

So, if you’re feeling stuck, Thinking in Systems might just be the perspective shift you need. It’s not a quick fix or a flashy productivity hack—it’s a thoughtful guide to understanding how the world works, so you can design systems that work for you.

Happy reading—and here’s to building systems that lead you closer to your goals.

Sound familiar?

I know exactly how that feels because I’ve been there. When I started my business, I thought hard work alone would bring success. I believed every lead would turn into a customer if I just pushed hard enough. So I spent hours responding to inquiries manually, trying to create the perfect follow-up emails, and juggling endless admin tasks. I was doing everything myself—marketing, customer outreach, operations—hoping the hustle would pay off.

But it didn’t. Leads slipped through the cracks. I missed opportunities because I was overwhelmed, and customers moved on while I was still trying to keep up. It felt like a hamster wheel I couldn’t escape.

The turning point came when I realized this wasn’t sustainable. I needed a system to automate the repetitive tasks that were eating my time and keeping me from focusing on what mattered most—growing the business. Leveraging my experience in building technology systems—having spent over three years as a Data Scientist and Data Engineer, and two years developing AI applications using Large Language Models—I knew I had to act fast to automate the nightmare I was facing. So, I turned to Zapier to quickly build a solution.

I set up a system to automate lead qualification and follow-ups. With this, I didn’t just save time—I started converting leads into paying customers, bringing in thousands of pounds in revenue. What once felt impossible now felt effortless. Let me share exactly how you can do the same.

The Struggle Is Real: Why Most Entrepreneurs Burn Out

Here’s what happens:

1. You get leads, but they slip through the cracks.
   Someone asks about your service or product, but by the time you follow up, they’ve moved on to a competitor.

2. You try to do it all manually.
   Manually responding to emails, managing customer preferences, and making tailored recommendations—it’s exhausting and unsustainable.

3. Your time disappears into thin air.
   Instead of focusing on growth, you’re stuck in the weeds of repetitive tasks that a robot could easily handle.

The result? Missed sales, frustrated customers, and the nagging feeling that you’re always one step behind.

Zapier: The Secret Weapon for Struggling Entrepreneurs

Zapier changes the game by automating the repetitive stuff so you can focus on building your empire. Let me show you how I transformed my business using the exact same steps you’re about to learn.

Step-by-Step: Automate Like a Pro (or Finally Get Some Sleep)

Step 1: The Form That Starts It All

Use a tool like Tally to create a simple form. Ask questions that help you understand your customers:

• What’s their favorite product or service?

• What specific needs or preferences do they have?

• Are they looking for anything special, like a one-time project or ongoing support?

This was the first thing I did. I created a form to collect leads and better understand what my potential customers needed.

Step 2: Build Your Zap

Zapier is where the magic happens. Here’s the exact process I followed:

1. Trigger: Tally Submission
Every time someone fills out the form, Zapier kicks into action.

2. ChatGPT: Qualify the Lead
Zapier sends the form responses to ChatGPT, which crafts a friendly, tailored recommendation.

Here’s the magic prompt:

Based on the customer’s preferences:

- What they’re looking for: [Answer]

- Special needs or preferences: [Answer]

- Occasion or timeline: [Answer]

Write a personalized email recommending the best product or service for them and explain why it’s perfect. Keep the tone conversational and include a call-to-action to follow up or purchase.

3. Delay by Zapier: Add a Human Touch
Zapier pauses for 5-10 minutes before sending the email. Why? So it feels like you personally thought about their needs instead of firing off an instant robotic response.

4. Gmail: Send the Email
Zapier sends the personalized email directly to the customer. No manual typing. No wasted time. Just pure magic.

What the Customer Sees

Here’s the kind of email your customers will receive:

Subject: Your Perfect Solution Awaits!

Hi [Name],

Thank you for sharing your needs! Based on what you’re looking for, we recommend [Product/Service Recommendation]. It’s tailored to meet [specific need or preference] and will be perfect for your upcoming project/event.

Click here to learn more and get started: [Link to Offer]

We’re excited to work with you and help you achieve your goals!

Best regards,
[Your Name]

Result? Happy customers who feel understood, personalized service that sets you apart, and more sales rolling in—all without you lifting a finger.

Why This Works for Any Entrepreneur

Here’s why this system is perfect if you’re tired of struggling:

1. It Saves You Time: Automate the repetitive stuff and focus on building your business.

2. It Feels Personal: Customers want to feel special, and personalized recommendations show you care.

3. It Boosts Sales: By following up instantly (but thoughtfully), you capture leads before they go cold.

Your Next Steps (Because You Deserve a Break)

1. Create a Tally form for your leads.

2. Set up a Zapier automation to qualify and follow up with them.

3. Sit back and watch as leads turn into sales while you finally have time to focus on what you love.

The Results Speak for Themselves

After implementing this system, I went from struggling to keep up with inquiries to confidently growing my business. In just a few months, we generated thousands of pounds in revenue by qualifying leads and delivering tailored offers.

Entrepreneurship is hard, but you don’t have to do it alone—or manually. Automate smarter, not harder, and build the business of your dreams without burning yourself out.

Now go forth and conquer. Stay LockedIN on your business, fitness and career goals.

Join our community here by subscribing and follow bleso_a on all platforms.

Subscribe now

Your LinkedIn profile is often your first impression of potential employers or clients. A recent comprehensive study by Sarah Johnson, analyzing 4,879 studies on LinkedIn best practices, has revealed key strategies for optimizing your presence on this platform. And shout out to Jeff Su for breaking it down in this video

No bullshitting; here are the tips that you need, along with AI prompts that you can use to improve your profile optimization; stop paying for those expensive LinkedIn optimization money-grabbing offers. I recommend uploading your resume to the AI tool for proper context and adding any industry-related information.

Need someone to talk to about your career? I understand the confusion you're feeling. Let me be the person to listen and help guide you. Click the button below to start our conversation.

Let's Talk

1. It starts with an Attention-Grabbing Headline.

Tip: Your headline is your digital elevator pitch. It should concisely communicate who you are, what you do, and the value you bring.

Actions:

• Use all 220 characters available

• Include your current role or professional identity

• Highlight your top skills or areas of expertise

• Incorporate a notable achievement or unique value proposition

• Use relevant industry keywords

AI Prompt: "I'm a [your job title] with [X years] of experience. Based on this information and current industry trends, generate a 220-character LinkedIn headline that includes relevant keywords, showcases my value proposition, and highlights a quantifiable achievement."

2. Penning a Compelling 'About' Section

Tip: Your 'About' section is your chance to tell your professional story. It should engage readers from the first sentence and provide a comprehensive overview of your career.

Actions:

• Start with a strong, attention-grabbing opening sentence

• Write in the first person for authenticity

• Structure your content with clear paragraphs

• Include your top achievements and skills

• Express your professional passions and goals

• End with a call-to-action or your contact information

AI Prompt: "Based on my role as a [your job title], generate an opening sentence for my LinkedIn 'About' section to hook readers and encourage them to click 'See more'. Then, provide a structure for the rest of the section, including my top achievements, subtle openness to opportunities, and contact information."

3. Strategic Keyword Optimization

Tip: Keywords help your profile appear in LinkedIn searches. They should be naturally integrated throughout your profile.

Actions:

• Research relevant keywords in your industry

• Include keywords in your headline, 'About' section, job descriptions, and skills

• Aim for about 9 mentions of each key term across your profile

• Ensure the keywords flow naturally within your content

AI Prompt: "I'm a [your job title]. Please analyze current job postings in my field and provide a list of the top 10 most relevant keywords or phrases I should include in my LinkedIn profile. Rank them in order of importance."

4. Maximizing the Skills Section

Tip: The Skills section is crucial for searchability and demonstrating your expertise. It's actively used by recruiters and can significantly increase your profile views.

Actions:

• List up to 50 skills, focusing on the most relevant to your field

• Prioritize your top 10 skills

• Ensure your skills align with those mentioned in job postings in your industry

• Get endorsements for your skills from colleagues and connections

• Link skills to specific experiences in your work history

AI Prompt: "As a [your job title], what are the top 20 skills I should list on my LinkedIn profile? Please rank them in order of importance and explain why each is valuable in my field."

5. Active Engagement on LinkedIn

Tip: LinkedIn is not just a static platform but a dynamic professional community. Regular engagement can increase your visibility and networking opportunities.

Actions:

• Share industry-relevant content regularly

• Comment thoughtfully on posts from your network and industry leaders

• Create original posts showcasing your expertise

• Participate in LinkedIn's collaborative articles

• Join and contribute to relevant LinkedIn groups

• Reach out and connect with new professionals in your field

AI Prompt: "I'm a [your job title] looking to increase my engagement on LinkedIn. Please suggest 5 topics I could post about or comment on that would showcase my expertise and provide value to my network. For each topic, provide a brief outline of what the post or comment could include."

Like many, I struggled with focus, feeling overwhelmed by countless possibilities and uncertain about which path to take. Then, I discovered the Hedgehog Concept, a powerful model introduced by Jim Collins in his book "Good to Great." This concept helped me find clarity by focusing on the intersection of three critical areas: what I am deeply passionate about, what I can be the best at, and what drives my economic engine.

By identifying and focusing on this intersection, I unlocked my true potential and set myself on a path to lasting success. Let’s explore how you can use the Hedgehog Concept to find your focus, whether you're planning your career or starting a business.

Framework for Using the Hedgehog Concept

1. Identify Your Passion

   • Reflect on activities and subjects that you are deeply passionate about. What excites you? What would you love to do even if you weren’t paid for it?

   • List these passions.

2. Identify Your Strengths

   • Assess your skills, talents, and areas where you have demonstrated excellence.

   • Gather feedback from others to identify strengths you may not recognize in yourself.

   • List these strengths.

3. Identify Your Economic Engine

   • Determine what you can do to make money. What can people pay you for? Where is there a demand for your skills and passions?

   • Research market needs and opportunities.

4. Find the Intersection

   • Look for the overlap between your passions, strengths, and economic opportunities.

   • This intersection is your Hedgehog Concept.

Example 1: Career Focus

Step 1: Identify Your Passion

• John is passionate about helping people and loves technology. He spends his free time volunteering and learning about the latest tech trends.

Step 2: Identify Your Strengths

• John is skilled at problem-solving, has strong analytical skills, and is proficient in various programming languages. He has received positive feedback for his ability to explain complex technical concepts in simple terms.

Step 3: Identify Your Economic Engine

• John researches the job market and finds a high demand for data scientists. Companies are willing to pay well for individuals who can analyze data and provide actionable insights.

Step 4: Find the Intersection

• John’s passion for helping people and love for technology, combined with his problem-solving skills and the demand for data scientists, lead him to focus on a career in data science. He decides to specialize in data analysis for healthcare, where he can merge his interests in helping people with his tech skills.

Example 2: Starting a Business

Step 1: Identify Your Passion

• Sarah is passionate about sustainable living and enjoys creating eco-friendly products. She has a strong interest in reducing waste and promoting green practices.

Step 2: Identify Your Strengths

• Sarah is creative and has a talent for designing and crafting products. She is also good at marketing and has successfully sold handmade items online in the past.

Step 3: Identify Your Economic Engine

• Sarah researches the market and finds a growing demand for sustainable products. People are willing to pay a premium for eco-friendly alternatives.

Step 4: Find the Intersection

• Sarah’s passion for sustainable living, her strength in designing and crafting products, and the market demand for eco-friendly items intersect perfectly. She decides to start a business creating and selling eco-friendly home goods, such as reusable kitchen wraps and biodegradable cleaning products.

Conclusion

Using the Hedgehog Concept, both John and Sarah found their focus. John discovered a fulfilling career path as a data scientist in healthcare, while Sarah identified a promising business opportunity in eco-friendly home goods. This framework can help you align your passions, strengths, and economic opportunities to achieve success in your career or business.

Blessing Adesiji here, and I've got some exciting news for you! I've just uploaded a new YouTube video that's an absolute must-watch for anyone considering a move to the UK's thriving innovation ecosystem.

In this video, I dive deep into everything you need to know about Tech Nation. And let me tell you, it's not just for tech entrepreneurs - this program is a game-changer for all sorts of innovative talent in Tech!

Join our FREE Learning Community

Here's what you'll learn:

• What exactly is Tech Nation? (Spoiler: It's your gateway to the UK's vibrant innovation scene!)

• Why making the move to the UK could be the best decision for your career

• A step-by-step breakdown of the application process

• How to craft a winning application

• Critical information you need to know

• Helpful templates to make your application stand out

Now, I know what you're thinking - "Blessing, this sounds great, but I'm swamped!"

Don't worry; I've got you covered. I'm excited to introduce you to Revisa, the amazing sponsor of this video.

They've developed a process that can be a lifesaver for busy professionals like you, streamlining your Tech Nation application process.

This video is packed with insights that could change your career trajectory.

So, what are you waiting for?

Head over to my YouTube channel and watch it. Here is the link

Trust me, you won't regret it!

Let's make those UK dreams a reality!

Blessing

P.S. If you find the video helpful, please like, share, and subscribe. Let's spread the word and help more talented individuals seize this incredible opportunity!

Our July 25th Workshop will take place in our FREE Learning community! So please join now.

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Monday, for me, too, is weird; I struggled to get out of bed like you. But what can we do right?

I will tell you about my struggles soon… Hold on…

Give me a few seconds of your time to read through this important message that I have for you.

We are a few days away from July, and I thought I would share important updates regarding some interesting activities planned for the month.

• Our FREE workshop will take place in July. The date is the 25th of July, 2024, 5 PM GMT.

• We have a new learning community where the workshop will take place, so I invite you to join by clicking this link.

• The workshop will cover high-income skills that you can learn in Tech.

• There is also a surprise that I will be sharing after the workshop.

• The workshop is free; I expect you to take full advantage of it.

Now that you are done reading.

Here is why Monday is weird for me and all I struggle with on this wonderful day.

The Great Bed Battle: Every Monday morning, my bed and I engage in an epic struggle. It clings to me with the tenacity of a clingy cat, and I fight to break free. Spoiler alert: The bed almost always wins for an extra snooze or two.

Weekend Hangover: No, not that kind of hangover! The one where your brain is still lounging in Sunday’s lazy bliss and refuses to accept that the weekend is over.

Time Warp: Is it just me, or does time move at a snail’s pace on Mondays? The clock seems to mock me, ticking slower than usual, making lunchtime feel like a distant dream.

Motivation Mystery: Finding motivation on a Monday is like finding a needle in a haystack. It’s elusive, challenging, and sometimes feels downright impossible. But when I do find it, it’s like striking gold.

Gym Jumble: I have a regular workout routine, and I love hitting the gym. But Mondays are different. Dragging myself to the gym on a Monday feels like a Herculean task. My workout clothes seem heavier, the gym feels farther away, and every rep feels like lifting a mountain. But once I'm there, it's worth it!

Despite all this, Monday is also a fresh start, a new beginning, and an opportunity to set the tone for a productive week. You can also let me know what you struggle with on Mondays.

So, here’s to conquering the Monday blues together, one quirky struggle at a time!

Don’t forget to join our new learning community. CLICK HERE. Do it now, not later.

Join our new learning community