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

Noemi Kis✨

Founder, CEO

Serial Entrepreneur / AI enthusiast / TEDx speaker

Hey there! 👋

I write about ideas for building a microbusiness.

I used this model to build a 7-figure company and grow a community of 160K+ on LinkedIn. Now, I help non-techie execs and founders do the same.

Get the 50 high margin business ideas FREE when you join.

Join here: https://stan.store/NoemiKis

Brands & sponsorship inquiries: hello@noemikis.com

AquaQuote is a global digital marketplace for buying and selling industrial water treatment products in the aftermarket space.  Brands have an opportunity to digitize their catalog and offer their products to a wider audience, while end users can easily find and purchase products via a self-service dashboard.  We focus on fast and excellent customer service and sourcing products from the best suppliers with the shortest lead times. 

What you do in private always shows in public.

You are what you create when no one is watching.

Here's how to build habits that help you grow:

🏡 1. Design your environment

Remove friction from good habits.

Add friction to bad ones.

If you want to read more, put books everywhere.

If you want to eat better, don't buy junk.

Your environment shapes your default behavior.

✅ 2. Track what you can control 

Most people track outcomes (revenue, weight, followers).

Winners track inputs (calls made, workouts done, pages read).

You can't control results.

You can control daily actions.

Track what you do when no one's watching.

🏃‍♀️ 3. Build identity, not goals

Don't say "I want to be fit."

Say "I'm someone who works out."

Don't say "I want to grow my business."

Say "I'm someone who shows up daily."

Your private actions prove who you are.

The gap between where you are and where you want to be?

It's built in private.

What you do today when no one's watching becomes who you are tomorrow when everyone is.

P.S.  What's your take? Share in comments.

Follow for daily posts on business.

Microbusiness Ideas / AI enthusiast / TEDx speaker

The loudest critics are usually the least qualified.

I’ve seen it so many times.

The people telling you to play it safe:

→ Haven’t taken a risk in 10 years
→ Complain about their job daily
→ Dream but never execute

The people telling you to be “realistic”:

→ Settled for mediocre their entire life
→ Gave up on their dreams years ago
→ Mistake their limitations for wisdom

Successful people encourage you to take smart risks.

Unsuccessful people warn you about every possible failure.

Filter your feedback:

“Would I trade places with this person?”

If the answer is no, their criticism is just noise.

How to protect yourself from bad advice:

1. Audit who you listen to 

→ Only take advice from people living the life you want.

2. Limit exposure 

→ Stop asking people for input you don’t need.

3. Build an inner circle

→ Surround yourself with people who actually do, not just talk.

4. Train your filter 

→ Question the source before questioning yourself.

The people qualified to criticize you are usually too busy succeeding to tear others down.

Found this valuable? Please reshare with your network! ♻️ 

And follow Noemi Kis✨ for daily growth tips!

Most people spend years waiting for their life to change.

"Once I get funding, I'll take care of myself."
"Once I hire a team, I'll start exercising."
"Once things calm down, I'll fix my sleep."

But "once" never comes.

The business never calms down. 
The inbox never empties. 
The perfect moment never shows up.

Here's what I've noticed about the entrepreneurs who actually make the shift:
They stop waiting and make one tiny commitment instead.

Something like: 6am. 20-minute walk. Every single day.

It feels ridiculous at first. You don't have time for walks. You have a business to run.

But 90 days later, everything shifts:
• Better sleep
• Sharper focus
• Clearer decisions
• Faster business growth

The secret isn't some massive overhaul.

It's 20 minutes before anyone else wakes up.

Most people think routines are boring.

Routines aren't restrictions. They're the foundation that makes freedom possible.

If you're waiting for the right moment to change your life, stop.

Ask yourself this instead:

What's one thing you could do tomorrow morning that your future self would thank you for?

Start there.

Follow for daily tips.

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