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

The AI Educator | Keeping YOU educated on AI tools & trends!

Started as a full-stack developer, spent over a decade building and scaling digital products.

Co-founded Mindstream, a newsletter about AI and emerging tech. Scaled it fast — and it was acquired by HubSpot. That journey taught me how powerful automation, content, and timing can be when combined with the right systems.

Next came an AI-first eCommerce brand. Built from zero to 7-figures in annual revenue within 6 months using lean automation, smart data, and zero fluff.

On a path to 8-figures! And when I get there, I’ll share everything I’ve learned about AI, automation, and scaling systems publicly.

Also, building Autonoza. A boutique AI automation agency helping companies replace manual, repetitive work with intelligent, integrated systems. Real results. Real leverage.

No hype. No shortcuts. Just practical, intelligent automation that turns insight into impact.

Matic Pogladic

You’re wasting hours chasing growth the hard way. 

ChatGPT can help you. 

Here are 10 ChatGPT prompts that will help you grow faster than your competitors.

1. Customer Persona Builder

Prompt: You are my business strategy consultant. I run a [describe your business: e.g., SaaS tool for small businesses, fitness coaching program, e-commerce store]. Create 3 detailed customer personas for me. For each persona, include: demographic details (age, gender, location, income), psychographics (values, lifestyle, aspirations), pain points, buying triggers, objections, and preferred content/communication channels. Present the output in a structured table so I can compare personas easily.

2. Market Research Deep Dive

Prompt: You are a market research analyst. Research the [specific industry/niche, e.g., AI marketing tools, sustainable fashion, online fitness coaching] market for 2025. Provide a structured analysis that covers: total market size, CAGR (compound annual growth rate), top competitors, pricing benchmarks, emerging trends, customer expectations, and untapped opportunities. Conclude with actionable recommendations on how my business can position itself competitively in this market.

3. Competitor SWOT Analyzer

Prompt: You are a competitive intelligence expert. Analyze my competitor [insert competitor name/brand] using a SWOT framework (Strengths, Weaknesses, Opportunities, Threats). Focus especially on their marketing strategy, pricing, customer engagement tactics, and product positioning. Then, create a counter-strategy for my business [insert your brand name] that highlights how I can differentiate and gain market share.

4. Offer Design and Pricing Strategy

Prompt: You are a growth strategist. I currently offer [describe product/service]. Design a tiered pricing strategy with 3 levels (entry, core, premium). For each tier, outline pricing, included features, target customer segment, and psychological positioning (value perception, scarcity, anchoring effect). Include real-world examples of businesses that successfully use similar models. End with your recommendation on which pricing tier to emphasize for maximum revenue growth.

5. High-Impact Marketing Funnel Blueprint

Prompt: You are a digital marketing architect. Create a full marketing funnel for my business [describe business]. The funnel should include: awareness stage (ad angles, content hooks, SEO keywords), engagement stage (lead magnets, nurture emails, retargeting ads), conversion stage (sales page framework, urgency triggers, testimonials), and retention stage (loyalty programs, upsells, referral campaigns). Present the funnel as a step-by-step plan with clear actions I can implement.

To get more ChatGPT prompts for business growth,
Check the carousel below 👇 

What do you think of using ChatGPT for business growth assistance?
Comment below 👇 

Follow for more AI and tech insights 
♻️ Repost to help your network

AI and tech entrepreneur turning insight into impact | Ex. Co-Founder, Mindstream (acquired by HubSpot)

ChatGPT Prompts For Business Growth

Perplexity is a powerful AI assistant. 

But I’m sad most people use it for limited use cases. 

Here are 10 Perplexity AI prompts that will make work feel like a breeze: 

Do’s of using Perplexity AI: 
✅ Clearly define what you want from AI.
✅ Offer background information to help AI understand the task.
✅ Use the right AI model for the right task. 
✅ Use follow-up questions to clarify outputs. 
✅ Use Perplexity Discover to get latest updates 
✅ Use Perplexity Page to find accurate and concise answers to queries by using AI-driven search and summarization capabilities 
✅ Use Perplexity Spaces as an AI collaboration hub to organize research threads and files by project. 

Don’ts of using Perplexity AI: 
❎ Avoid unclear or ambiguous instructions.
❎ Don’t stick to multiple outputs from a prompt.
❎ Don’t forget to provide background details.
❎ Don’t stop following up until you get the perfect output.
❎ Don’t forget to try the different modes like web, academic, and social.  

Do you use Perplexity AI? 
Let me know in the comments 👇 

Follow me for more AI and tech insights 
♻️ Repost this post to help your network master using Perplexity AI

Perplexity AI Prompts To Be Productive At Work

Most founders think they need more funding.

What they really need is a sharper strategy.

Here are 10 ChatGPT prompts for effective business strategy.

1. Business Model Innovation

Prompt: Act as a senior strategy consultant. Analyze my business model using the Business Model Canvas framework. My business is [insert business type/industry]. Suggest at least 3 innovative pivots or improvements in value proposition, customer segments, or revenue streams that align with current market trends in [insert region/market]. Present your output in a structured Business Model Canvas format with bullet points under each section.

2. Competitive Analysis Deep Dive

Prompt: You are my competitive intelligence analyst. Research the top 5 competitors of [insert company/business/industry]. For each competitor, provide: their positioning, pricing strategy, distribution channels, customer acquisition approach, strengths, weaknesses, and unique differentiators. Then, give me a competitor gap analysis table that highlights opportunities I can exploit.

3. SWOT + TOWS Strategic Planner

Prompt: Perform a SWOT analysis for my company [insert company or industry details]. After the SWOT, create a TOWS matrix showing specific strategies that connect strengths to opportunities, strengths to threats, weaknesses to opportunities, and weaknesses to threats. Provide clear action recommendations under each category.

4. Market Entry Strategy

Prompt: I want to expand into [insert target market/region]. Design a full market entry strategy. Include: (a) market sizing and growth rate, (b) cultural/economic/regulatory barriers, (c) competitor landscape, (d) pricing and positioning recommendations, (e) potential distribution or partnership channels. Present your findings as a phased go-to-market plan with milestones and KPIs.

5. Blue Ocean Strategy Designer

Prompt: Use the Blue Ocean Strategy framework to help me create uncontested market space in [insert industry]. Identify which customer pain points are underserved, suggest elements I should eliminate/reduce/raise/create in the value curve, and draft a one-page strategic canvas comparing my offering against current players. Conclude with 3 potential blue ocean opportunities.

If you want to get more prompts for business strategy,
Check the carousel below 👇 

What do you think of using ChatGPT for strategising business growth?
Comment below 👇 

Follow for more AI and tech insights 

♻️ Repost to help your network use AI to grow their business

ChatGPT Prompts For Effective Business Strategy

Most people waste months waiting for the “perfect” idea. 

Smart founders test dozens in minutes.

Here are 10 ChatGPT prompts that will help you with business idea research.

1. Market Opportunity Scan

Prompt: Act as a business analyst. Research [insert industry/niche, e.g., sustainable skincare] and identify 5–7 underserved customer segments. For each segment, analyze their pain points, spending behavior, current solutions they use, and the gaps that exist. Then suggest potential business ideas that solve those gaps, explaining why these ideas could succeed given market trends.

2. Competitor Deep Dive

Prompt: Perform a competitor analysis for [insert product/service idea] in [insert target market/country]. Identify the top 5 competitors, summarize their positioning, pricing, marketing channels, and customer reviews. Then provide a comparison table highlighting where they are strong and weak. Based on that, recommend 3 differentiator ideas I could build into my business.

3. Trend Validation

Prompt: Search across recent global market reports, startup launches, and investor trends in [insert industry, e.g., AI-powered education tools]. Summarize the top 5 emerging trends. For each, explain if it's hype-driven or backed by sustainable demand. End with a judgment on whether building a business in this space right now is high, medium, or low opportunity, and why.

4. Business Model Exploration

Prompt: I want to explore business model options for [insert business idea, e.g., subscription-based meal kits for remote workers]. Lay out 5 different monetization models (e.g., SaaS, freemium, subscription, marketplace, one-time purchase). For each, explain the revenue streams, scalability potential, customer acquisition challenges, and approximate profitability timeline.

5. Customer Persona Builder

Prompt: Build 3 detailed customer personas for [insert business idea or niche]. For each persona, include demographics, psychographics, motivations, frustrations, preferred digital platforms, and buying triggers. Then suggest marketing angles, copy styles, and channels most likely to resonate with each persona.

What do you think of using ChatGPT for business idea research?
Comment below 👇 

Follow for more AI and tech insights

♻️ Repost this to help your network use AI to brainstorm business ideas

ChatGPT Prompts For Researching Business Ideas

You’re not competing with other founders anymore.

You’re competing with founders who use AI.

Here are 18 steps entrepreneurs (like you) should take to work with AI.

1. Basics
Start by learning the basics of AI and being updated with everything happening in AI from an AI newsletter like Mindstream.

2. Explore AI Tools
Get to know about all the AI tools, their categories, and how they can help from a directory like Future Tools.

3. Explore AI Use Cases
Discover what kind of AI tools you can use, and how they can make your business processes more efficient.

4. Learn Prompting
Learn how to use AI models like ChatGPT, Claude, Grok, and Gemini, and how to get the best outputs from them.

5. Use AI For Brainstorming
Start with using AI models and AI tools to brainstorm business strategy.

6. Use AI For Knowledge Management
Utilize AI to enhance internal knowledge management within your business, ensuring that new employees can effectively learn about internal business workflows.

7. Use AI for Email Management
Use an AI email tool like Superhuman that speeds up inbox management with AI-powered features like instant summaries, natural language search, personalized AI email drafting, follow-up reminders, smart prioritization, one-click replies, analytics, and seamless calendar integration.

8. Use AI in Meetings
Use AI meeting note taker tools to help get meeting transcription, get notes about everything happened in the meeting, and create a to-do list based on everything discussed on the call.

9. Use AI For Marketing
Use AI to help with text content creation, video content creation, and generating images and designs to get marketing work done faster.

10. Use AI For Sales
Use tools like Hubspot's Breeze Agents, Clay, Drippi, and more to accelerate your sales workflows.

What do you think of entrepreneurs using AI to accelerate their business?
Comment below 👇 

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Steps Entrepreneurs Should Take To Work With AI

You’re not getting bad AI outputs.

You’re just having bad prompts.

These 29 actionable AI model prompting techniques fix that instantly.

1. Ask for Citations or Sources
Request references, if factual support is needed.
Example: "List three facts about polar bears with source citations."

2. Request Tables Or Matrices
For comparisons or data, ask for output in tabular form.
Example: "Show a table comparing MBA vs. MS in Computer Science."

3. Highlight Important Points
Instruct the model to emphasize or bold key info.
Example: "Summarize this topic and bold main points."

4. Use Iterative Prompting
Move through multiple exchanges to get deeper information.
Example: "Outline the process, then detail step two."

5. Feed Sample Text for Mimicry
Give a tone, voice, or structure sample to match.
Example: "Write an intro similar in tone to: 'Welcome to a new era of adventure...'"

6. Restrict Output Type
Specify what NOT to include if needed (e.g., "Don't mention prices").
Example: "Describe features of Android vs. iOS, without references to cost."

7. Switch Tone Or Style
Specify formal, casual, humorous, poetic, etc.
Example: "Rewrite this paragraph in a humorous style."

8. Ask For Summaries
Summarize large texts to save time and focus.
Example: "Summarize this 2-page article in 4 bullet points."

9. Avoid Leading Questions
Phrase neutrally to reduce bias in answers.
Example: "What are the advantages and disadvantages of solar energy?"

10. Use Delimiters For Structure
Separate different parts of your prompt for clarity (like using ### or --).
Example: "Task: Summarize; Context: Blog post; Audience: Marketers."

To know more techniques,
Check the carousel below 👇 

What other new prompting technique would you recommend to add here?
Comment below 👇 

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♻️ Repost to help your network prompt better

29 AI Model Prompting Techniques

The biggest threat to your business isn’t competition.

It’s outdated thinking.

Here are 10 ChatGPT prompts to out-innovate everyone. 

1. Market Disruption Map

Prompt: I want you to act as a business innovation strategist. Analyze the [industry name] industry and identify 5 potential areas of disruption over the next 3–5 years. For each area, map out: the underlying trend, customer pain points, the technological enablers, and examples of startups or incumbents already making moves. Then, propose one original business concept we could build in this space, including its core value proposition, revenue model, and barriers to entry.

2. Blue Ocean Opportunity Finder

Prompt: Act as a strategist applying the Blue Ocean Strategy framework. For the [product/service] market, create a Four Actions Grid (eliminate, reduce, raise, create). Use this to propose at least 3 ‘blue ocean’ innovations that would differentiate us from competitors. For each idea, explain the unique value curve, target segment, and why it is difficult for competitors to replicate.

3. Business Model Reinvention Lab

Prompt: Using the Business Model Canvas, redesign our current business model for [company/product]. Show me three innovative variations: (1) a subscription-based version, (2) a platform/ecosystem model, and (3) a freemium model. For each, detail the customer segments, key partners, revenue streams, and potential risks. End by ranking them from highest to lowest based on scalability and sustainability.

4. Future Scenario Innovation Sprint

Prompt: Generate three future scenarios for the [industry] in the year 2030: optimistic, pessimistic, and disruptive. For each scenario, explain the major forces driving it (technology, regulation, consumer behavior, environment). Then, propose two innovative business opportunities that could thrive in each scenario. Present everything in a structured table format.

5. Cross-Industry Innovation Matrix

Prompt: Think like a cross-industry innovation consultant. Take successful business models from three unrelated industries ([industry A], [industry B], [industry C]) and show how elements of each could be borrowed to innovate in [my industry]. Create a matrix mapping which features can be transplanted, why they would work, and potential risks of adoption.

To get more ChatGPT prompts for business innovation,
Check the carousel below 👇 

What do you think of using ChatGPT for brainstorming business innovation?
Comment below 👇 

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ChatGPT Prompts For Business Innovation

Your competition isn’t smarter than you. 

They’re just using AI tools. 

Here are 10 AI tools that will hand marketers back their time.

What other AI tools do you use daily?
Comment below 👇 

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AI Tools To Help Marketers Get More Done In Less Time

Everyone is building AI agents right now.

Almost no one is building them safely.

And that difference will decide who breaks systems and who builds the future.

I watched a developer deploy an AI agent to automate real work:
It could open apps.
Run workflows.
Connect tools.
Execute commands.

AI agent frameworks like OpenClaw are making this possible.

AI agents can now:
• Execute tasks autonomously
• Interact with apps and APIs
• Run workflows without supervision
• Operate across messaging tools and platforms

This is why many engineers believe agent systems are the next evolution of AI.

But here is the hidden engineering problem.
When agents move from thinking → acting, mistakes stop being text.

They become real system actions.

Agents often need direct access to:
→ Files
→ APIs
→ Databases
→ SaaS apps
→ Internal tools

And that creates new attack surfaces.

Potential risks developers are already seeing:
• Prompt injection manipulating agent behavior
• Malicious tools executing unsafe commands
• Uncontrolled actions from flawed reasoning
• Runaway cost loops from automated workflows

The problem is architecture.

If agents directly control applications, 
You lose:
• Permission boundaries
• Observability
• Execution controls

That is why modern agent systems require a control layer between agents and tools.

A safer architecture looks like this:
Agent
→ Control Layer
→ Applications

This enables:
✅ Permission management
✅ Tool authentication
✅ Safe execution boundaries
✅ Controlled automation

One example of this architecture is Zapier MCP (Model Context Protocol).

Instead of letting agents call tools directly, 
MCP acts as a secure interface between AI systems and real applications.

With MCP, 
Agents can:
→ Access thousands of integrations
→ Execute actions through controlled endpoints
→ Connect tools without building custom integrations

A modern agent stack could look like:
• OpenClaw → Agent framework
• Claude → Reasoning and planning
• Zapier MCP → Controlled integrations

If you want to understand how this architecture actually works, 
There is a great webinar breaking it down.

Inside the session, you get to learn:
• The current state of AI agents
• Security best practices for agent systems
• How to safely connect agents to real tools

Hosted by:
Mike Russell
Founder, Creator Magic

Matt Brown
Marketing, Zapier

They walk through how to build secure agent systems using OpenClaw, Claude, and Zapier MCP.

If you are building AI agents right now, 
This is worth attending.

Get your premium access for free here: https://bit.ly/4sK9Arr

For the full breakdown,
Check the carousel below 👇 

Curious to hear your thoughts.
Do you think most AI agents today are being built safely?
Comment below 👇 

Also:
➕ Follow for more AI and tech insights

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#ZapierPartner

Brand partnership • AI and tech entrepreneur turning insight into impact | Ex. Co-Founder, Mindstream (acquired by HubSpot)

The Biggest Problem With AI Agents No One Is Talking

Most people think Google is just search.

But Google is quietly building one of the most powerful AI ecosystems in the world.

And if you’re not using these AI tools yet… you’re already behind.

I had a conversation with a founder who told me something interesting.
“I use AI every day.”

Naturally, I asked him which tools.

His answer?
→ ChatGPT
→ Sometimes Midjourney

That was it.

And that moment made something obvious.

Most people think AI = one chatbot.

But the real advantage comes when you start using an entire AI ecosystem.

That’s exactly where Google’s AI stack becomes insanely powerful.

I've created this breaking down 25 powerful Google AI tools you shouldn’t miss.

Because once you see how these tools connect,
You realise Google is building an AI operating system.

Here’s what that ecosystem unlocks:

1. AI chat and reasoning
→ Gemini models powering conversations and workflows

2. AI research and knowledge
→ NotebookLM turning documents into intelligent insights

3. AI development and experimentation
→ Google AI Studio for building and testing AI apps

4. AI image and video generation
→ Imagen and other generative media tools

5. AI coding assistance
→ Gemini integrated into developer workflows

6. AI infrastructure for companies
→ Vertex AI powering enterprise AI systems

7. AI productivity across Google products
→ Docs, Gmail, Sheets and Workspace powered by AI

And the result is powerful.

You move from using AI occasionally
to building AI into everything you do.

But here’s the part most people miss.

AI tools are powerful.
Yet how you use them matters more than the tool itself.

Do’s:
✅ Use AI to accelerate thinking, not replace it
✅ Combine multiple AI tools for better workflows
✅ Verify important outputs before acting on them
✅ Use AI for ideation, research, and productivity
✅ Learn prompts and context to improve results

Don’ts:
❌ Don’t blindly trust AI outputs
❌ Don’t use AI without reviewing critical details
❌ Don’t depend on one tool for everything
❌ Don’t ignore privacy when uploading data
❌ Don’t stop learning the fundamentals yourself

The biggest shift happening right now is simple.
AI is an entire ecosystem.

And Google is quietly building one of the most powerful ones.

If you want to see 25 powerful Google AI tools you should know,
Check the carousel below 👇 

Curious to hear your thoughts
What do you think about using Google’s AI tools in your daily workflow?
Drop your thoughts in the comments 👇 

Follow me for more insights on AI tools, workflows, and productivity.

♻️ Repost this if you found it useful

Powerful Google AI Tools

Scaling a business feels impossible? 

What if AI could hand you the roadmap? 

Here are 10 ChatGPT prompts that will help you scale your business.

1. Market Expansion Strategy Blueprint

Prompt: You are my strategic consultant. I run a [type of business: e.g., SaaS platform for small businesses] currently generating [current revenue level]. I want to expand into [new market/region/industry].
Create a step-by-step market expansion plan that includes:
a) market size analysis with data points,
b) competitor benchmarking,
c) customer personas in this new market,
d) go-to-market strategy tailored to my business model,
e) risks and mitigations, and
f) a 90-day action plan.
Format it as a structured blueprint with clear sections I can directly present to my team.

2. Customer Acquisition Playbook

Prompt: Act as a growth marketing strategist. I want to acquire [X number] of new customers in [time frame] for my [type of business]. Break down a complete customer acquisition playbook including:
a) top 5 high-ROI acquisition channels,
b) campaign ideas per channel,
c) estimated cost per acquisition benchmarks,
d) funnel structure from awareness to conversion,
e) automation workflows to reduce manual work, and
f) key metrics to track.
Provide a prioritized roadmap from quick wins to long-term sustainable strategies.

3. Pricing Model Optimization

Prompt: Act as my revenue optimization advisor. I currently charge [existing pricing model] for my product/service. Analyze and suggest optimized pricing models such as tiered pricing, freemium, value-based, or usage-based. Include competitor pricing insights, psychological pricing tactics, and A/B test ideas. Provide at least 3 alternative pricing models with pros/cons and recommend which one will maximize both revenue and customer lifetime value. Present the final output in a decision-making framework.

4. Business Process Automation Plan

Prompt: Pretend you are my operations consultant. I want to scale my business without dramatically increasing headcount. Analyze my core business processes: [list your processes like sales, onboarding, customer support, finance, etc.]. Identify areas that can be automated using AI, no-code tools, or integrations. Provide a detailed automation plan with:
a) recommended tools,
b) estimated cost savings,
c) implementation roadmap, and
d) potential risks.
Format as a 3-phase rollout plan (short-term, mid-term, long-term).

To get more prompts for scaling, 
Check the carousel below 👇 

What do you think of using ChatGPT as an advisor for scaling businesses?
Comment below 👇 

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ChatGPT Prompts That Will Help You With Scaling

Struggling with dull, robotic ChatGPT replies?

You’re not alone. Most people never touch the tone dial.

Here’s the ChatGPT tone handbook that will help you get outputs in the writing tone you want.

Pros of prompting ChatGPT to give the output in a particular tone:
👍 Ensures response matches audience expectations for clarity and engagement.
👍 Improves consistency across multiple outputs for branding or style.
👍 Helps avoid misinterpretation by guiding emotional or professional framing.
👍 Saves editing time by reducing need to rewrite tone later.
👍 Increases reader receptivity by tailoring language to context.

Dos of prompting ChatGPT to give the output in a particular tone:
✅ Ask explicitly for the desired tone like formal or casual.
✅ Include examples of the tone you want the output to mirror.
✅ Define the audience so tone matches your target reader.
✅ Use clear context and rules to reduce ambiguity.
✅ Iterate and refine prompts based on output quality.

Don’ts of prompting ChatGPT to give the output in a particular tone:
❎ Don’t be vague about tone preferences.
❎ Don’t skip examples when tone is important.
❎ Don’t assume the model knows tone without instruction.
❎ Don’t overload prompt with unrelated requests.
❎ Don’t ignore feedback and fail to adjust your prompt.

What other tones have you tried on ChatGPT?
Comment below 👇 

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ChatGPT Tone Handbook

Meetings. 
Deadlines. 
Chaos. 

Sounds painful, right?

Business management doesn’t have to feel like firefighting every day.

Use these 10 ChatGPT prompts that will help you with business management.

1. Strategic Planning Framework

Prompt: Act as a strategy consultant. I run a [type of business] in the [industry] sector with [size of team]. My top three priorities are [priority 1], [priority 2], and [priority 3]. Create a 12-month strategic plan that breaks down into quarterly objectives, monthly milestones, and weekly action steps. For each stage, include measurable KPIs, potential risks, and contingency plans. Present the plan in a table format, ending with a summary of how this aligns with long-term business goals.

2. Business Model Optimization

Prompt: I operate a [B2B/B2C] business with a primary revenue stream of [describe revenue stream]. Identify weaknesses and optimization opportunities in my current business model using the Business Model Canvas framework. For each element (value proposition, customer segments, channels, customer relationships, revenue streams, key activities, key resources, key partners, and cost structure), give a SWOT-style analysis, followed by practical recommendations to improve efficiency and profitability.

3. Leadership and Team Development Playbook

Prompt: As a business leader managing a team of [X people] across [functions/departments], design a leadership and team development playbook. Break it down into: (1) communication routines, (2) decision-making protocols, (3) performance review structure, and (4) team motivation rituals. Include a section for scaling leadership practices as the company grows, and provide templates for feedback sessions and 1:1 check-ins.

4. Financial Health and Budgeting Guide

Prompt: Act as a financial analyst. My company generated [revenue] last year with [profit margin] profit margin and has projected expenses of [amount] this year. Create a detailed financial management guide that includes: (1) a budgeting template for fixed and variable costs, (2) cash flow forecasting for 12 months, (3) investment opportunities ranked by ROI, and (4) a cost-cutting strategy that doesn't compromise growth. End with a dashboard-style KPI summary I can track monthly.

5. Risk Management and Crisis Response Plan

Prompt: My business is in [industry], and key risks include [risk 1], [risk 2], and [risk 3]. Build a detailed risk management framework that includes: (1) a risk register with probability and impact scoring, (2) proactive prevention measures, (3) a step-by-step crisis response protocol, and (4) a communication template for staff and stakeholders during emergencies. Provide this in both narrative and checklist format for operational use.

To get more ChatGPT prompts,
Check the carousel below 👇 

What do you think of using ChatGPT for business management?
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ChatGPT Prompts For Business Management

If you’re still writing tests manually, you're already behind.

AI has quietly started testing software faster than humans ever could.

In 2022, testing meant long nights writing scripts, maintaining fragile test cases, and chasing bugs across environments.

Developers would ship new features…
QA teams would scramble to keep up.
And testing slowly became the biggest bottleneck in modern software development.

That’s changing now.

AI testing agents are starting to generate, execute, and analyse tests automatically so teams can move at the speed of modern software. 

Let me explain in an easy to understand way:

• Define what needs testing
→ Start with product requirements
→ Identify critical workflows to validate

• Generate test scenarios automatically
→ AI converts requirements into structured tests
→ Natural language prompts can create test cases

• Design advanced testing workflows
→ Multi-step validations
→ Conditional logic
→ Complex assertions

• Run tests across environments
→ Web apps
→ Mobile platforms
→ APIs

• Integrate with development pipelines
→ CI/CD pipelines
→ GitHub workflows
→ Jira tracking

• Detect issues earlier
→ AI highlights failed scenarios
→ Bugs appear before production

• Adapt to UI changes
→ Auto-healing tests adjust to UI updates
→ Less maintenance for QA teams

This changes how engineering teams operate.

AI testing helps teams:
✅ Scale testing as products grow
✅ Reduce manual script writing
✅ Increase testing coverage
✅ Detect bugs earlier
✅ Ship faster without sacrificing quality 

But using AI for testing still requires discipline.

Do’s when using AI for testing:
✅ Define clear requirements before generating tests
✅ Use natural language carefully to avoid ambiguous tests
✅ Integrate testing into CI/CD pipelines
✅ Validate AI-generated scenarios before production
✅ Combine AI automation with human QA review

Don’ts when using AI for testing:
❌ Don’t blindly trust AI-generated tests
❌ Don’t ignore edge cases and rare scenarios
❌ Don’t skip manual exploratory testing entirely
❌ Don’t disconnect testing from development workflows
❌ Don’t treat AI as a replacement for QA expertise

The real shift happening right now:
Testing is becoming AI assisted infrastructure that scales with your product.

And the teams adopting it early will ship faster, safer, and more reliably.

Take a look at the carousel below 👇 
It breaks down the full AI testing workflow step by step.

Join the new era of testing with me here: https://lnkd.in/e5AjnFXx 

Curious to hear your perspective.
Do you think AI will transform software testing workflows?
Comment below and share your thoughts 👇 

#KaneAIPartner

How You Can Test Your Product Automatically

You're not busy. You're stuck in creative paralysis.

Meta won't slow down. It wasn't built to.

And your team is trapped between:

Endless creative demand. Manual uploads. Fragmented reporting. Insights that vanish between campaigns.

Everyone says they're data-driven. Almost no one actually closes the loop.

Because by the time you've stitched the data together, you're already shipping the next batch.

I've spent years building automation systems that replace manual, repetitive work. The pattern is always the same: the teams that win aren't working harder, they're compounding faster.

Creative strategy is no different.

Here's what changes that:

An AI creative agent trained on $5B+ in ad spend.

Raya from Atria AI analyzes your performance data, studies competitor creative, pulls patterns from customer reviews, and identifies why ads win.

Then she generates new variations. Gets them live without manual uploads. And applies what she learns to the next campaign automatically.

Not an assistant. An owner of the workflow.

Research? Done. Creative angles? Generated. Uploads? Live. Reports? Visual and real-time.

From 40 hours of operational grind to 4 hours of actual decision-making.

You still own the strategy. Raya owns the overhead.

The gap between teams compounding insights and teams operating manually is about to get very real.

tryatria.com

#ad

You’re using ChatGPT wrong. 

It’s not your fault. 
Everyone does. 
And it’s costing them hours. 

Here are 20 ChatGPT mistakes you must avoid before it messes up your output.

1. Ignoring Custom Instructions

Mistake: Many people ignore custom instructions in ChatGPT and hence don't get outputs the way they want.

Fix: Use custom instructions to get outputs in your preferred style from ChatGPT.

2. Ignoring Custom GPTs

Mistake: Not using custom GPTs for niche use cases and relying only on ChatGPT.

Fix: Use custom GPTs for niche use cases. For example, you can use Whimsical GPTs to create flowcharts.

3. Using Wrong Models

Mistake: You use ChatGPT 5.2 in auto mode.

Fix: Keep changing the modes and models as per your use case.

4. Being Too Vague

Mistake: Asking broad or unclear prompts.

Fix: Give specific details, context, and desired format.

5. Overloading in one Prompt

Mistake: Stuffing multiple unrelated requests into one input.

Fix: Break tasks into smaller, focused prompts.

6. Not Setting Role/Context

Mistake: Expecting expert-level answers without guidance.

Fix: Frame ChatGPT with a role (e.g., “Act as a business strategist”).

7. Skipping Examples

Mistake: Asking for structured output without samples.

Fix: Provide examples to guide the response style.

8. Expecting 100% Facts

Mistake: Assuming every output is accurate.

Fix: Verify key details with reliable sources.

9. Overtrusting numbers

Mistake: Accepting data/statistics as always correct.

Fix: Double-check figures, especially dates and financial data.

10. Not Iterating

Mistake: Giving up after one imperfect output.

Fix: Refine the prompt and ask follow-up questions.

To know more mistakes you might be making while using ChatGPT,
Check the carousel below 👇 

What other new ChatGPT hack would you recommend adding here?
Comment below 👇 

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ChatGPT Mistakes To Avoid

The demo in this launch post is a must watch.

Replit Agent 4 shows where coding tools are heading, from assistants to agents that can actually build systems.

What’s interesting is the shift toward parallel workflows and full-stack generation in one environment.

The IDE is quickly becoming a control layer for AI builders.

Software isn’t merely technical work anymore. It’s creative.

Introducing Replit Agent 4. The first AI built for creative collaboration between humans and agents.

Design on an infinite canvas, work with your team, run parallel agents, and ship working apps, sites, slides & more.

https://lnkd.in/gUCayN4H

taplio

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The Battle

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