I built and sold a business to HubSpot in just 17 months.

I co-founded Mindstream, an AI newsletter that scaled to 150,000+ subscribers. Today, Mindstream is part of the HubSpot Media Network, where I lead brand strategy for the AI media products. 

Along the way, I’ve grown a 200,000+ following on LinkedIn, sharing real, unfiltered lessons on AI, entrepreneurship, and business growth. The wins and the mistakes.

I believe action beats hesitation. The biggest risk? Never starting.

Adam Biddlecombe

Helping Entrepreneurs Build with AI | Founder, Mindstream (Acquired by HubSpot)

Co-Founder & CEO 

98% think they’re using Claude perfectly.

They open the AI chat box and start prompting.

That’s exactly why they’re leaving 80% of its power unused.

When I first started using Claude, 
I made the same mistake.

I treated it like a chatbot.
Ask question → get answer → repeat.

But now, as I’ve set up Claude properly, 
Everything changed.

It started behaving like a system that actually works with me.
I got:
- Better writing.
- Better research.
- Better coding.
- Better reasoning.

Most people never unlock this because they skip the setup.

That’s why I’ve created this simple breakdown of how you can set up Claude the best way for you.

Here are the key ideas behind a powerful Claude setup:
→ Install Claude properly (desktop unlocks more capabilities)
→ Choose the right model for the job
→ Create a personal voice file Claude can reference
→ Define what you reject so Claude avoids bad habits
→ Give Claude real folders and context to work with
→ Enable features like artifacts and code execution
→ Add job-specific plugins for specialized work
→ Build reusable skills and workflows

When you configure Claude correctly, 
It starts acting like a reliable AI operator.

Do’s:
✅ Set profile preferences so Claude understands your writing style
✅ Give clear instructions and structured prompts
✅ Connect tools and folders for real context
✅ Create repeatable skills for frequent tasks
✅ Test different models based on the problem

Don’ts:
❌ Don’t rely on vague prompts and expect perfect outputs
❌ Don’t leave API keys or secrets in prompts or code
❌ Don’t ignore Projects when organizing complex work
❌ Don’t share sensitive data without checking security settings
❌ Don’t skip testing new Claude features and tools

If you set this up correctly, 
Claude becomes extremely powerful for:
• Writing
• Coding
• Research
• Analysis
• Workflow automation

To see the full setup breakdown, 
Check the infographic below 👇 
It will save you hours of trial and error.

Want to master how to use ChatGPT at work?
Grab my free guide here: https://lnkd.in/eJPyZ-Qe 

Curious to know something:
What do you think about setting up Claude for your workflow?
Comment below 👇

98% think they’re using Claude perfectly.

They open the AI chat box and start prompting.

That’s exactly why they’re leaving 80% of its power unused.

When I first started using Claude, 
I made the same mistake.

I treated it like a chatbot.
Ask question → get answer → repeat.

But now, as I’ve set up Claude properly, 
Everything changed.

It started behaving like a system that actually works with me.
Better writing.
Better research.
Better coding.
Better reasoning.

Most people never unlock this because they skip the setup.

That’s why I’ve created this simple breakdown of how you can set up Claude the best way for you.

Here are the key ideas behind a powerful Claude setup:
→ Install Claude properly (desktop unlocks more capabilities)
→ Choose the right model for the job
→ Create a personal voice file Claude can reference
→ Define what you reject so Claude avoids bad habits
→ Give Claude real folders and context to work with
→ Enable features like artifacts and code execution
→ Add 

If you want to be ahead of everyone in 2026,

You need to build your team of AI employees.

I used to think scaling meant working more hours and doing everything myself.

But now I did something different.
I built an AI team.

Every AI tool acts as an employee.
One for marketing.
One for development.
One for design.
One for research.
One for automation.
And more.

And suddenly, 
Work that took weeks,
Started finishing in hours.

Here’s how people are using AI as employees today:
→ ChatGPT as Chief Strategy Officer
→ Perplexity as Research Assistant
→ Claude as Writer
→ Canva as Designer
→ Zapier as Automation Engineer
→ Replit as Developer
→ HubSpot as Sales Manager
→ Beehiiv as Newsletter Manager
→ Taplio and Tweet Hunter as Ghostwriters
→ Gamma and VEED as Presentation and Video Experts

Most people fail with AI because they treat tools like toys.
High performers treat them like roles.

Do’s:
✅ Do assign one clear role per tool
✅ Do give examples and standards upfront
✅ Do review outputs like a manager
✅ Do combine tools into workflows
✅ Do keep humans in the decision loop

Don’ts:
❎ Don’t expect perfection on first output
❎ Don’t overload one tool with many roles
❎ Don’t skip context and instructions
❎ Don’t blindly trust outputs without review
❎ Don’t chase every new tool without a system

AI doesn’t replace teams.
It replaces friction.

If you want to know all the tools,
Check the infographic below 👇 

It visually maps how each AI fits into a real team.

If you like this and want to get free access to our complete ChatGPT at Work bundle guide, get it here: https://lnkd.in/e6yDSf4F 

What you think about building your own team of AI employees using powerful tools?
Comment below 👇

If you want to be ahead of everyone in 2026,

You need to build your team of AI employees.

I used to think scaling meant working more hours and doing everything myself.

But now I did something different.
I built an AI team.

Every AI tool acts as an employee.
One for marketing.
One for development.
One for design.
One for research.
One for automation.
And more.

And suddenly, 
Work that took weeks,
Started finishing in hours.

Here’s how people are using AI as employees today:
→ ChatGPT as Chief Strategy Officer
→ Perplexity as Research Assistant
→ Claude as Writer
→ Canva as Designer
→ Zapier as Automation Engineer
→ Replit as Developer
→ HubSpot as Sales Manager
→ Beehiiv as Newsletter Manager
→ Taplio and Tweet Hunter as Ghostwriters
→ Gamma and VEED as Presentation and Video Experts

Most people fail with AI because they treat tools like toys.
High performers treat them like roles.

Do’s:
✅ Do assign one clear role per tool
✅ Do give examples and standards upfront
✅ Do review out

Stop using ChatGPT for everything.

The smartest builders use specialised AI tools instead.

Because the right AI tool can save you hours every week.

I’ve noticed something interesting.

Everyone around me kept opening the same tab.

ChatGPT.

For:
Writing.
Research.
Presentations.
Data analysis.
Video ideas.
Coding.

Everything.

But the truth is simple:

ChatGPT is powerful.
But not always the best tool for every task.

The real advantage comes from using specialised AI tools built for specific workflows.

Once I started experimenting with alternatives, 
My productivity accelerated overnight.

Here are some powerful AI tools most people should be using alongside ChatGPT:

Research → SciSpace
Presentations → Gamma
Brainstorming → Claude
Learning → NotebookLM
Data analysis → Rows
Data visualization → Julius
Video generation → Freepik
Image generation → Higgsfield
Marketing copy → Writesonic
Scriptwriting → Sandcastles AI
Content creation → Veed
Development → Replit
Website development → Webflow
Customer support AI → Expertise AI
Deep research → Perplexity Deep Research
Meeting notes → Granola

Each tool is designed for a specific problem.
Which means better outputs and faster workflows.

Instead of forcing one AI to do everything:
✔ Use the best AI for the job
✔ Combine multiple AI tools
✔ Build faster workflows

And the results compound fast.

Do’s:
✔ Use specialized tools for specialized tasks
✔ Combine multiple AI tools in one workflow
✔ Verify important outputs with reliable sources
✔ Use AI to speed up thinking, not replace it
✔ Experiment with different tools regularly

Don’ts:
✖ Do not rely on a single AI tool for every task
✖ Do not skip fact-checking for research outputs
✖ Do not assume AI-generated data is always correct
✖ Do not ignore domain-specific AI tools
✖ Do not replace human judgement with AI

If you like this and want to get free access to our complete ChatGPT at Work bundle guide, get it here: https://lnkd.in/e6yDSf4F 

To see the full breakdown of tools,
Check the infographic below 👇 

And I am curious
Which other AI tool alternative do you think works better than ChatGPT for a specific task?
Drop it in the comments 👇

Stop using ChatGPT for everything.

The smartest builders use specialised AI tools instead.

Because the right AI tool can save you hours every week.

I’ve noticed something interesting.

Everyone around me kept opening the same tab.

ChatGPT.

For:
Writing.
Research.
Presentations.
Data analysis.
Video ideas.
Coding.

Everything.

But the truth is simple:

ChatGPT is powerful.
But not always the best tool for every task.

The real advantage comes from using specialised AI tools built for specific workflows.

Once I started experimenting with alternatives, 
My productivity accelerated overnight.

Here are some powerful AI tools most people should be using alongside ChatGPT:

Research → SciSpace
Presentations → Gamma
Brainstorming → Claude
Learning → NotebookLM
Data analysis → Rows
Data visualization → Julius
Video generation → Freepik
Image generation → Higgsfield
Marketing copy → Writesonic
Scriptwriting → Sandcastles AI
Content creation → Veed
Development → Replit
Website development

Quality of learning always beats quantity of content.

We live in a world where information is infinite.
But attention is not.

For a long time, I thought staying ahead meant consuming more.
More books. 
More newsletters. 
More podcasts. 
More tutorials.

It does not.
It means learning with intention.

Early on, books like Find Your Why shaped how I thought about purpose and direction. 
They gave me language for decisions I could already feel but could not yet explain.

Today, I still return to ideas like that.

Just differently.

I use Shortform.

Not to replace books.
But to understand them better.

Shortform creates book guides that go beyond summaries:

- Deep coverage of core ideas
- Smart analysis and connections across authors
- Interactive exercises that make ideas stick

It feels like your smartest friend walking you through a book.

Three categories I personally spend the most time on:

- Business and entrepreneurship
- Psychology and decision-making
- Communication and negotiation

Here are my favorite books I recommend to learn from:

1. Magic of Thinking Big.
You’ll learn
- Think bigger to unlock higher confidence, ambition, and results.
- Beliefs shape actions, and actions determine success.
- Positive thinking enables better decisions and consistent progress.

2. How to Win Friends and Influence People.
You’ll learn:
- Genuine interest in others builds trust and influence.
- Avoid criticism to maintain strong relationships.
- Make people feel valued to earn cooperation.

3. How to Get Rich
You’ll learn:
- Persistence matters more than talent or luck.
- Wealth comes from execution, not ideas alone.
- Long term success requires resilience and self belief.

The best part is:
On Shortform, I can combine learning from these best books.
To know what I should focus on in the long term.

That is where real leverage comes from.

Shortform also releases new book and article guides every week.
And I get to vote on what gets covered next.

And when I am reading blogs or watching long YouTube videos, 
Their browser extension, Shortform AI, 
Helps me generate high-quality summaries instantly. 
Just in one click.

The result is simple:
- I spend less time skimming.
- More time thinking.
- More time connecting ideas.
- More time building judgement.

Learning compounds when the input is high quality.

If your goal is not just to consume content, 
But to sharpen how you think, 
Shortform is worth exploring.

You do not need more information.
You need better understanding.

Try here: shortform.com/biddlecombe 

Get a free trial and $50 off the annual plan from my link. 

What do you think about learning this new way?
Comment below 👇 

#shortformpartner

Most people think they understand AI.

Until they realise they only recognise buzzwords.

I’ve curated the 40 important AI terms here to fix that gap.

A few months ago, I noticed something strange.

Smart professionals were using AI every day.
But struggling to explain it clearly.

They could say "LLM", "agents", or “hallucinations”.
But not understanding what those actually mean or why they matter.

That is the difference between using AI.
And thinking with AI.

So I broke it down here.

Why this matters more than people realise:
→ Clarity compounds faster than just using AI tools
→ Understanding beats memorising prompts
→ Vocabulary shapes how well you use AI

A few terms most people misuse daily:
• Bias → When training data tilts outputs
• Tokens → How models read and write text
• Inference → Using learned knowledge in real time
• Overfitting → When AI memorizes instead of generalizing
• Hallucinations → Confident answers without factual grounding

Do’s:
✅ Learn concepts before tools
✅ Connect terms to real workflows
✅ Understand limits, not just capabilities
✅ Revisit fundamentals regularly
✅ Explain ideas in your own words

Don’ts:
❎ Chasing tools without understanding basics
❎ Confusing AGI with current LLMs
❎ Ignoring training and data quality
❎ Treating prompts as everything
❎ Assuming AI is always correct

If you want leverage from AI,
You must speak its language first.

To get a quick scan of all 40 AI terms,
Check the infographic below 👇

Learn AI for free: https://lnkd.in/euYZeAdb 

How much time do you invest in learning AI every day?
Comment below 👇

Most people think they understand AI.

Until they realise they only recognise buzzwords.

I’ve curated the 40 important AI terms here to fix that gap.

A few months ago, I noticed something strange.

Smart professionals were using AI every day.
But struggling to explain it clearly.

They could say "LLM", "agents", or “hallucinations”.
But not understanding what those actually mean or why they matter.

That is the difference between using AI.
And thinking with AI.

So I broke it down here.

Why this matters more than people realise:
→ Clarity compounds faster than just using AI tools
→ Understanding beats memorising prompts
→ Vocabulary shapes how well you use AI

A few terms most people misuse daily:
• Bias → When training data tilts outputs
• Tokens → How models read and write text
• Inference → Using learned knowledge in real time
• Overfitting → When AI memorizes instead of generalizing
• Hallucinations → Confident answers without factual grounding

Do’s:
✅ Learn concepts before too

I’ve seen people waste months jumping between random AI hacks.

So I’ve created this one all-in-one AI cheat sheet for you.

To help you master everything important in one go.

Let me be brutally honest.

While you were writing one-line prompts, 
AI pros were using the RTCROS framework to get better results.

While you were guessing prompts, 
They were using chain-of-thought prompting to make AI think step by step.

While you were struggling with manual work, 
They were automating entire workflows with tools you've never even heard of.

Here's what the best AI users know that you don't:

Prompting tips to get 10x better outputs:
→ Zero-Shot gets instant results with no examples
→ Few-Shot guides AI with just 2-3 samples
→ Chain-of-Thought makes AI show its reasoning
→ Persona-Based makes AI adopt expert roles
→ Iterative Refinement keeps making outputs sharper

Tools they're using daily:
✅ Google Nano Banana Pro for stunning visuals in seconds
✅ Cursor for writing code 
✅ Zapier for automating tasks while they sleep
✅ Consensus for research that used to take weeks
✅ Gamma for presentations that look professionally designed

The AI models dominating right now:
→ ChatGPT-5.2 for adaptive multimodal thinking
→ Claude Opus 4.6 for deep reasoning and complex tasks
→ Grok 4.2 for live data and stronger creativity
→ Gemini 3.1 Pro for long-context multi-step workflows
→ Kimi K2 Thinking for hard analytical problems

Some business use cases where AI helps:
→ Digital operations getting fully automated
→ Lead generation running on autopilot
→ Sales cycles being cut in half
→ Marketing campaigns launching without agencies
→ Finance management handled without analysts

The crazy part?
All of this is learnable. 
Right now. 
For free.

The gap between people who invest in learning AI daily and those who don't is growing.

In the next 12 months, 
The professionals who mastered AI prompting, tools, and workflows will be untouchable in their careers.

The ones who didn't will be wondering what happened.
Actually using it every day is where winners are made.

Learn AI for free: https://lnkd.in/euYZeAdb 

How much time per day do you invest in learning AI? 
Be honest, and comment below 👇

I’ve seen people waste months jumping between random AI hacks.

So I’ve created this one all-in-one AI cheat sheet for you.

To help you master everything important in one go.

Let me be brutally honest.

While you were writing one-line prompts, 
AI pros were using the RTCROS framework to get better results.

While you were guessing prompts, 
They were using chain-of-thought prompting to make AI think step by step.


While you were struggling with manual work, 
They were automating entire workflows with tools you've never even heard of.

Here's what the best AI users know that you don't:

Prompting tips to get 10x better outputs:

→ Zero-Shot gets instant results with no examples
→ Few-Shot guides AI with just 2-3 samples
→ Chain-of-Thought makes AI show its reasoning
→ Persona-Based makes AI adopt expert roles
→ Iterative Refinement keeps making outputs sharper

Tools they're using daily:
✅ Google Nano Banana Pro for stunning visuals in seconds
✅ Cursor for writing code 
✅ Zapier for 

Drowning in huge PDFs?

You don’t need more coffee.
You need AI assistance.

Here’s how to use AI for document analysis.

1. Go to ChatGPT
2. Click the ‘+’ icon
3. Add your document
4. Write your prompt
5. Get document analysis done
6. Follow up if you need more insights

Pros:
- Ultra-fast summarisation of long texts.
- Good at extracting key entities, relationships, and topics.
- Can handle multiple formats (text, tables) if converted appropriately.
- Provides a “first-pass” analysis so you don’t start from blank.
- Repeatable and consistent (for the same prompt & input).

Cons:
- May (rarely) hallucinate or invent details that aren’t in the document.
- Doesn’t always catch domain-specific nuance or technical subtleties.
- Performance degrades on very long documents (context window limits).
- No guarantee of source attribution or traceability.
- Biases in training data may skew interpretation.

Do’s
✅ Always give context or purpose before asking for analysis.
✅ Break large docs into smaller chunks for processing.
✅ Ask for both summary and insights/implications.
✅ Request sources or cite-backs for key claims.
✅ Iterate (ask follow-up clarifications) instead of expecting perfection on the first prompt.

Don'ts
❎ Don’t dump an enormous document in one go without context.
❎ Don’t trust the output blindly; always verify critical facts.
❎ Don’t ask vague prompts like “analyse this” without direction.
❎ Don’t ignore structure (tables, figures, sections); treat them explicitly.
❎ Don’t overload with too many goals in one prompt (summary + critique + rewrite + translate all at once).

To get a more detailed explanation,
Check the carousel below 👇 

What do you think of using AI for document analysis?
Comment below 👇 

Learn AI for FREE: https://lnkd.in/eAAacxSK  

♻️ Share this to help your network use AI for document analysis

How To Do Document Analysis For Free With ChatGPT

AI Simplified | Become a ChatGPT Pro | Leading AI Education & Workshops | Transforming Teams with Tailored AI Training | Follow for Exclusive AI Insights and Updates.

Is your SaaS growing, but your personal brand is stuck at "MVP"?

As a founder in SaaS or AI, you live in a world of rapid iteration. You build complex algorithms, scalable architectures, and disruptive features. But when you look at your LinkedIn presence, it often feels like legacy code: outdated, buggy, or non-existent.

The "Black Box" Problem:
Especially in the AI space, the market is noisy. Everyone claims to be "disruptive."

- If you stay quiet, you lose deals to louder competitors with inferior technology.
- If you try to market yourself, you risk sounding like just another "AI Influencer" pushing hype without substance.

You need a middle ground: **Technical Accuracy + Market Relevance.**

Why trust me to find that balance?
I am not a generic marketer. I speak C# as fluently as I speak Business.

As the founder of Tutorials.EU, I taught over 500,000 students how to code. I spent years taking abstract concepts, like Neural Networks or Middleware, and translating them into clear, engaging messages that masses understand.

My approach at Linthority:
I help SaaS & AI founders decode their expertise into a content system that builds trust with high-ticket buyers.

We treat your content like a product:

1. Input: We extract your deep industry knowledge (no generic AI texts).
2. Processing: We "translate" it into narratives that resonate with decision-makers.
3. Output: You get Authority that compounds over time, just like your MRR.

The Result: You stop chasing leads and start attracting believers.

Ready to deploy your authority?
I only work with founders who have real tech to back up their talk.
👇 Check the "Featured" section below to see the system.




For sponsors: Please send an email to info@tutorials.eu

Denis Panjuta

Top 11 Free AI Tools from Google

Google offers some powerful AI tools for free - perfect for creators, developers, and businesses who want to experiment with AI.

From building apps without code to generating videos and editing images, these tools can save you time, cut costs, and supercharge creativity.

Here’s a quick breakdown of the top free AI tools from Google and how you can use them:

1. Google AI Studio → Test Google models, tweak outputs, and compare prompts side by side.
2. NotebookLM → Convert sources into mind maps, summaries, quizzes, and audio/video overviews.
3. Firebase Studio → Build and publish websites or apps quickly with AI support.
4. Veo 3 (Video Generation) → Create video clips or animate visuals with AI-driven text prompts.
5. Gemini Ask on YouTube → Chat with videos for instant answers, chapters, and timestamps.
6. Gems in Gemini → Build custom AI assistants using your instructions and files.
7. Nano Banana (Editing) → Edit and refine AI images into multiple variations.
8. Gemini in Google Sheets → Generate text, formulas, and insights directly inside spreadsheets.
9. Google App Builder → Build apps instantly using prompts—no coding required.
10. Media Generation (Imagen / Nano Banana) → Turn text prompts into images or speech for media.
11. Gemini Live (Stream) → Host live AI conversations with screen sharing for meetings and presentations.

The best part? They’re all free - so you can start experimenting right away.

If you want help refining YOUR LinkedIn identity - so your content attracts clients, not confusion - DM me #GrowMyLinkedIn. 

I’ll tell you exactly how to position yourself for maximum visibility and inbound leads. 

Let’s make your presence impossible to ignore.
Promised.

Helping Tech Founders build and scale authority in their niche on LinkedIn. | Ex-Coding Instructor (500k+ Students). | Trusted by 160k+ Followers.

All-in-One Cheat Sheet to Learn AI

1. Basic Roadmap to Learn AI
Start with AI fundamentals, mathematics, and programming. Then explore big data, data science, machine learning, deep learning, business intelligence, and AI engineering.

2. AI in a Nutshell
AI includes machine learning, neural networks, and deep learning. It powers automation, visual perception, language processing, and decision-making.

3. Basic AI Concepts Explained
Machine learning finds patterns, neural networks mimic the brain, and deep learning enables complex AI models. NLP processes language, computer vision interprets images, and robotics integrates AI into automation.

4. Top Learning Resources
Explore AI through YouTube, top websites, datasets, and blogs covering AI, ML, and deep learning.

[Explore more in the post]

If you’re a founder or C-level leader and want help refining your LinkedIn identity - so your content attracts clients, not confusion - DM me #GrowMyLinkedIn.

I’ll show you exactly how to position yourself for maximum visibility and inbound leads.

Let’s make your presence impossible to ignore.
Promised.

Everyone wants to jump straight into AI tools.

But that’s not how you stay ahead.

Real progress in AI comes from foundations first — then skills, then systems.

I’ve been mapping how people actually build leverage with AI in 2026.

And it usually follows this path:

Not chasing trends.
Not collecting tools.
But stacking fundamentals step by step.

Here’s a simple framework to master AI in 2026:

1. Build Strong AI Foundations
Before tools, understand how AI works.
Learn core concepts like ML vs GenAI, embeddings, APIs, and prompting basics.
Goal: Know what’s happening behind the scenes - not just which buttons to click.

2. Learn Prompting Like a Skill (Not Guesswork)
Prompting is becoming a real professional skill.
Zero-shot, role prompting, structured outputs, context layering — this is how you get consistent results.
Practice daily with ChatGPT, Claude, Gemini, and Perplexity.

3. Master Everyday AI Productivity
Start small.
Emails, summaries, outlines, research, spreadsheets.
Use AI every day, not occasionally.
Outcome: Save 1–2 hours daily just by automating routine thinking.

4. Understand How AI Systems Actually Work
This is where users become builders.
RAG, vector databases, agents vs workflows, MCP, APIs, memory.
You don’t need to code everything - just understand the flow.

5. Build Simple AI Automations
Connect inputs → AI → outputs.
Forms to emails. PDFs to summaries. Websites to CRMs. Calendars to notes.
Tools like Make, n8n, and Zapier unlock serious leverage.

6. Learn One Technical Skill (Optional but Powerful)
Pick one: Python, SQL, or JavaScript.
Even basic knowledge multiplies what you can build with AI.

7. Apply AI to Your Career Domain
Don’t become generic.
Apply AI directly to marketing, data, finance, operations, sales, or HR.
Specialization wins in 2026.

8. Build in Public + Stay Updated
AI changes weekly.
Share learnings. Save workflows. Build small projects. Document experiments.
Consistency beats perfection.

Each layer compounds the next.

Tools change.
Models evolve.
But this structure stays useful.

If you’re serious about AI this year, focus on foundations first - then automation.

Which part are you currently working on?

If you’re a founder or C-level leader and want help refining your LinkedIn identity - so your content attracts clients, not confusion - DM me #GrowMyLinkedIn.

I’ll show you exactly how to position yourself for maximum visibility and inbound leads.

Let’s make your presence impossible to ignore.
Promised.

15 Stages of AI Mastery!!

Mastering AI is a journey that starts with simple models and gradually advances toward intelligent, agent-based systems. 

Each stage builds on the last, helping you move from understanding the basics to designing complex, real-world AI solutions.

Let’s break it down:

1. Simple AI Models
- Start with understanding large language models.
- Master the basics of how they work, and get comfortable using them.
- Learn prompt engineering to get the best outputs.
- Explore use cases in writing, research, and customer support.

2. Basic AI Agents
- Move on to automation with tools like Zapier and Make.com.
- Discover how to connect your apps and workflows.
- Automate repetitive tasks to increase productivity.
- Ensure reliability with effective error handling.

3. Agentic AI
- Finally, elevate your skills to autonomous systems.
- Learn about memory and retrieval techniques.
- Implement multi-step reasoning to tackle complex tasks.
- Build agents that interact and collaborative problem-solving.

The ultimate goal? Solving real-world challenges with intelligent systems.

[Explore more in the post]

If you found this helpful don’t forget to save this for later and comment your thoughts.

If you’re a founder or C-level leader and want help refining your LinkedIn identity - so your content attracts clients, not confusion - DM me #GrowMyLinkedIn.

I’ll show you exactly how to position yourself for maximum visibility and inbound leads.

Let’s make your presence impossible to ignore.
Promised.

“LinkedIn doesn’t reward the loudest person.
It rewards the clearest one. “

Here’s a guide that breaks it down perfectly:

Every role - business owner, agency founder, educator, freelancer, creator, job seeker, coach, tech expert, AI entrepreneur -
has a different way of presenting themselves.

Different content.
Different tone.
Different stories.
Different proof.
Different outcomes.

If you post like the wrong category, you confuse the audience that should be buying from you.

Because a:
- Business Owner must show leadership + behind-the-scenes
- Agency Owner must prove results + transformations
- Educator must teach clearly + share frameworks
- Freelancer must showcase work + document projects
- Creator must entertain + build consistency
- Job Seeker must document growth + share insights
- Coach must demonstrate transformation + breakthroughs
- Tech Professional must simplify complexity + share experiments
- AI Entrepreneur must show automation + product wins

One identity.
One message.
One positioning.

When you do this right, everything changes:

Your content becomes relevant.
Your brand becomes memorable.
Your audience understands your value.
Your DMs turn into real opportunities.

If you learn ONE thing today, learn this:

People won’t buy from you
until they understand who you are
and what you stand for.

And LinkedIn growth becomes easy the moment you make that clear.

If you want help refining YOUR LinkedIn identity - so your content attracts clients, not confusion - send me #GrowMyLinkedIn.

I’ll tell you exactly how to position yourself for maximum visibility and inbound leads.

Let’s make your presence impossible to ignore.
Promised.

Is the LinkedIn algorithm mysterious ??

Not Really…

It simply rewards useful conversations and consistent expertise and ignores everything that looks forced.

In 2026, LinkedIn is no longer about posting more.
It’s about posting content people actually spend time with.

This visual breaks down how the LinkedIn algorithm really works and what creators often misunderstand.

The platform prioritizes relationship strength first.
People who regularly engage with you will always see more of your content. Audience trust matters more than follower count.

Content relevance comes next.
LinkedIn studies behavior signals - what people read, save, comment on, and return to - then distributes posts accordingly.

Engagement quality now outweighs vanity metrics.
Meaningful comments and discussions carry far more weight than likes or quick reactions.

Dwell time has become a major ranking signal.
If readers stop scrolling and actually read your post, distribution increases naturally.

The algorithm clearly favors educational, insight-driven, and native content.
Carousels, storytelling, and consistent posting patterns help build long-term visibility.

What hurts reach?
Engagement bait, low-value repetition, external links too early, and overly promotional posts.

The AI layer introduced in recent updates pushes content toward niche audiences.
Authority and topic consistency matter more than going viral once.

Winning creators follow a simple structure:
Strong hook → clear value → conversation-driven CTA.

Timing helps, but conversations matter more than schedules.
Replying quickly, encouraging discussion, and building real interactions signal quality to the system.

Because LinkedIn today doesn’t reward noise.

It rewards expertise, trust, and sustained conversations.

Stop chasing the algorithm.
Start aligning with how it already works.

If you’re a founder or C-level leader and want help refining your LinkedIn identity - so your content attracts clients, not confusion - DM me #GrowMyLinkedIn.

I’ll show you exactly how to position yourself for maximum visibility and inbound leads.

Let’s make your presence impossible to ignore.
Promised.

AI video generation is no longer experimental.

In 2026, video models aren’t just creating clips - they’re becoming full creative production engines.

The real shift isn’t who can generate video.
It’s which model you choose for the right workflow.

Because each AI video model is optimized for a completely different use case - storytelling, editing, social media, commerce, or cinematic production.

This visual breaks down the Top 7 AI Video Models shaping content creation in 2026:

🔹 Sora 2 - cinematic storytelling and long narrative sequences with strong scene continuity.
🔹 Gen-3 Alpha (Runway) - creator-focused editing workflows and fast creative iteration.
🔹 Veo 3.1 - high-quality narrative production with native 4K output and strong prompt accuracy.
🔹 Seedance 2.0 - complex multi-modal scenes with consistent multi-object interactions.
🔹 Kling 2.6 - realism-focused generation with natural human motion and physics awareness.
🔹 Pika 2.0 - rapid short-form content built for social media experimentation.
🔹 WAN 2.6 (Alibaba) - commerce-optimized video creation for product and marketing visuals.

The biggest misconception right now:

There is no single “best” AI video model.

There are only models aligned to specific creative outcomes.

Some optimize narrative consistency.
Some optimize speed.
Some optimize realism.
Some optimize conversion-driven marketing content.

The creators and teams winning in 2026 aren’t replacing video production.

They’re building AI-native creative pipelines.

Because the future of video isn’t generation alone.

It’s choosing the right intelligence for the right story.

Which one are you experimenting with right now? 👇

If you’re a founder or C-level leader and want help refining your LinkedIn identity - so your content attracts clients, not confusion - DM me #GrowMyLinkedIn.

I’ll show you exactly how to position yourself for maximum visibility and inbound leads.

Let’s make your presence impossible to ignore.
Promised.

Ideas are easy.
Execution is where most people get stuck.

Many people collect tools. Very few build systems.
The difference is what turns ideas into real outcomes.

Here’s how AI tools actually take you from idea → execution.

- Idea & Research
Start with clarity. Use AI to brainstorm, validate ideas, and understand the problem space.

- Product & MVP Development
Turn ideas into something real - prototypes, apps, or landing pages you can test quickly.

- AI Development
Build the core logic. This is where models, workflows, and engineering come together.

- Automation & Workflows
Connect everything. Automate repetitive tasks and create systems that run without constant input.

- Content Creation
Explain, market, and communicate your product with content that scales.

- Sales & CRM
Convert interest into customers. Manage leads, outreach, and relationships efficiently.

- Customer & Support
Support users at scale with AI-driven responses and workflows.

- Knowledge & Meetings
Capture insights, organize information, and keep teams aligned.

- Analytics & Insights
Measure what’s working, learn from data, and improve continuously.

Execution isn’t one step.
It’s a system of connected tools working together.

Which part of this journey slows you down the most right now?

If you’re a founder or C-level leader and want help refining your LinkedIn identity - so your content attracts clients, not confusion - DM me #GrowMyLinkedIn.

I’ll show you exactly how to position yourself for maximum visibility and inbound leads.

Let’s make your presence impossible to ignore.
Promised.

taplio

The Battle

Adam Biddlecombe

Denis Panjuta

Followers

Posts

Engagements

Likes

Performance ScoreAdam Biddlecombe's LinkedIn Performance

Performance ScoreDenis Panjuta's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Adam Biddlecombe

Denis Panjuta

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Adam Biddlecombe's LinkedIn Performance

Performance ScoreDenis Panjuta's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreAdam Biddlecombe's LinkedIn Performance