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 

AI is eating the world.
And you can’t even define “LLM”?
Yikes.

Don't stay clueless.
Don't stay behind.
Don't stay outdated.

These 40 AI terms explained easily will make you 10x smarter today.

1. Bias
When an AI unfairly prefers some answers over others, often because of the data it was trained on.

2. Label
A tag or answer given to data so AI knows what it is.

3. Model
The final program that can do tasks after learning from data.

4. Training
The process where AI learns from examples to get better at its job.

5. Chatbot
A computer program that talks to people in text or voice.

6. Dataset
A big collection of information that AI learns from.

7. Algorithm
Step-by-step instructions for solving a problem.

8. Token
Words or pieces of words AI uses to read and write text.

9. Overfitting
When AI learns the training data too well and can’t handle new, different examples.

10. AI Ethics
Making sure AI is used in ways that are right and fair to everyone.

If you want to know more AI terms, 
Check the infographic below 👇 

Have you started learning AI?
Comment below 👇 

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

♻️ Share this to help your network learn AI terms

AI is eating the world.
And you can’t even define “LLM”?
Yikes.

Don't stay clueless.
Don't stay behind.
Don't stay outdated.

These 40 AI terms explained easily will make you 10x smarter today.

Bias
When an AI unfairly prefers some answers over others, often because of the data it was trained on.

2. Label
A tag or answer given to data so AI knows what it is.

3. Model
The final program that can do tasks after learning from data.

4. Training
The process where AI learns from examples to get better at its job.

5. Chatbot
A computer program that talks to people in text or voice.

6. Dataset
A big collection of information that AI learns from.

7. Algorithm
Step-by-step instructions for solving a problem.

8. Token
Words or pieces of words AI uses to read and write text.

9. Overfitting
When AI learns the training data too well and can’t handle new, different examples.

10. AI Ethics
Making sure AI is used in ways that are right and fair to everyone.

If you're not using AI

You're not managing your growth wisely. 

(And no. I'm not talking about basic motivation) 

Personal development becomes efficient when humans and AI work together. 

✅ Write a prompt 
✅ Get a solution from ChatGPT 
✅ Follow up and keep brainstorming till you get the best solution 

 Self-improvement use cases on which you can collaborate with ChatGPT: 
✅ SMART Goal Setting
✅ Visualization Exercise
✅ Habit Formation Blueprint
✅ Growth Mindset Cultivation
✅ Personal Mission Statement
✅ Evening Wind-Down Routine
✅ Morning Routine Optimization
✅ Journaling for Self-Awareness
✅Weekly Time Management Plan
✅ Accountability Partner Simulation

And more covered in the infographic below. 

For what use cases do you use ChatGPT? 
Comment below 👇 

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

♻️ Share this post to help your network use ChatGPT for personal growth

If you're not using AI

You're not managing your growth wisely. 

(And no. I'm not talking about basic motivation) 

Personal development becomes efficient when humans and AI work together. 

✅ Write a prompt 
✅ Get a solution from ChatGPT 
✅ Follow up and keep brainstorming till you get the best solution 

 Self-improvement use cases on which you can collaborate with ChatGPT: 
✅ SMART Goal Setting
✅ Visualization Exercise
✅ Habit Formation Blueprint
✅ Growth Mindset Cultivation
✅ Personal Mission Statement
✅ Evening Wind-Down Routine
✅ Morning Routine Optimization
✅ Journaling for Self-Awareness
✅Weekly Time Management Plan
✅ Accountability Partner Simulation

You waste time doing manual work. 

Even when you have AI now. 

Here's how to go from zero to pro in AI:

Core AI skills:
✅ Computer Vision
✅ Model Deployment
✅ Deep Learning (DL)
✅ Explainable AI (XAI)
✅ Generative AI (GenAI)
✅ Machine Learning (ML)
✅ Reinforcement Learning
✅ Model Monitoring & Versioning
✅ Natural Language Processing (NLP)

Top websites to learn AI:
✅ Fast AI
✅ Mindstream
✅ Kaggle
✅ Coursera
✅ Deeplearning
✅ Mygreatlearning

And a lot more covered in the infographic below

Have you started learning AI?
Comment below 👇

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

♻️ Repost to help your network learn AI

You waste time doing manual work. 

Even when you have AI now. 

Here's how to go from zero to pro in AI:

Core AI skills:
✅ Computer Vision
✅ Model Deployment
✅ Deep Learning (DL)
✅ Explainable AI (XAI)
✅ Generative AI (GenAI)
✅ Machine Learning (ML)
✅ Reinforcement Learning
✅ Model Monitoring & Versioning
✅ Natural Language Processing (NLP)

Top websites to learn AI:
✅ Fast AI
✅ Mindstream
✅ Kaggle
✅ Coursera
✅ Deeplearning
✅ Mygreatlearning

You’re wasting hours doing tasks an AI Agent could finish in seconds.

The twist? You don’t even have to build them.

I’ve curated the 40 best plug-and-play Zapier Agent templates that do it all for you.

How do Zapier Agent templates help?
- Each template provides you a ready-to-use framework for a task.
- You get in-depth explanation about how the template works.
- You get to know why you should use a particular template.
- You get the perfect tool stack built in that template so you don’t need to juggle with random tools.

How to use Zapier Agent templates?
1. Go to the link below 
2. Click on any template 
3. Click ‘Use Template’
4. Check out the Agent
5. Connect your web apps
6. Click ‘Create’
7. Configure and use your Agent

Here are the Agent templates you should try:

Productivity:
- Automated Email Reply Drafts Agent
- Daily Outlook Event Reminder
- Google Calendar Zoom Meeting Link Adder
- Hackathon Event Notifier
- Follow-Up Reaction Notifier

Product Management:
- Product Expiry Management System
- PRD Document Creator
- Customer Call Summary and PRD Generator
- Weekly Project Status Update Email Generator
- Slack Thread Insights Extractor 

Project Management:
- Project Brief Generator 
- Slack to Asana Campaign Organizer 
- Google Doc to Asana Status Update 
- Project Update Notifier 
- Incomplete Jira Tickets Commenter 

To know more powerful Agent templates,
Check the infographic below 👇 

Try Zapier Agent templates here :https://lnkd.in/eBkNHjRz

What do you think about using Agent templates to automate manual work?

Comment below 👇 

♻️ Share this to help your network use the best Agent templates 

#ZapierPartner

Stuck staring at a blank page?
Ideas refusing to show up?
Brain fried from overthinking?

ChatGPT can spark it.
Prompts can fuel it.
Your creativity can explode.

Here are 10 ChatGPT prompts built to smash creative blocks in seconds.

Market Entry Strategy Brainstorm
- Act as a strategic business consultant and use chain-of-thought reasoning to brainstorm a step-by-step market entry strategy for [business type] targeting [specific market or region], including potential risks, competitive analysis, entry barriers, and actionable timelines; structure the output as a bulleted list with pros, cons, and recommended next steps, limited to 500 words.

Product Innovation Ideas
- Think step-by-step like an innovative product developer and generate 10 creative ideas for new products or features in [business type], focusing on [specific problem or customer need], incorporating market trends and feasibility analysis; format the response as a numbered list with brief descriptions, potential revenue impacts, and implementation challenges.

Competitive Analysis Framework
- Employ chain-of-thought to analyze [number] key competitors in [business type], evaluating their strengths, weaknesses, opportunities, and threats relative to my [specific business aspect]; output in a structured SWOT matrix table format, followed by 5 strategic recommendations for differentiation.

Growth Hacking Tactics
- As a growth expert, reason through innovative growth hacking tactics for [business type] aiming to achieve [specific growth metric, e.g., 20% user increase], drawing from data-driven examples; present as a prioritized list of 8 tactics with step-by-step execution plans and expected outcomes.

Business Model Canvas
- Use structured reasoning to create a customized Business Model Canvas for [business type] with [unique twist or focus area], detailing key partners, activities, value propositions, and revenue streams; format as a clear, bulleted section-by-section breakdown with visual descriptions for easy adaptation.

To get more ChatGPT prompts,
Check the infographic below 👇

For what other use cases do you use ChatGPT?
Comment below 👇

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

♻️ Repost this to help your network use AI to brainstorm better

Stuck staring at a blank page?
Ideas refusing to show up?
Brain fried from overthinking?

ChatGPT can spark it.
Prompts can fuel it.
Your creativity can explode.

Here are 10 ChatGPT prompts built to smash creative blocks in seconds.

Market Entry Strategy Brainstorm
- Act as a strategic business consultant and use chain-of-thought reasoning to brainstorm a step-by-step market entry strategy for [business type] targeting [specific market or region], including potential risks, competitive analysis, entry barriers, and actionable timelines; structure the output as a bulleted list with pros, cons, and recommended next steps, limited to 500 words.

Product Innovation Ideas
- Think step-by-step like an innovative product developer and generate 10 creative ideas for new products or features in [business type], focusing on [specific problem or customer need], incorporating market trends and feasibility analysis; format the response as a numbered list with brief descriptions, potential revenue

AI isn’t replacing jobs.
It’s upgrading people who use it.
But only if you know how to use it.

Most people are learning the wrong stuff.
The job market is shifting under your feet.
Smart learners will dominate.

These 15 AI skills will future-proof your career in 2025.

1. Prompt Engineering
2. Staying Updated
3. Retrieval-Augmented Generation (RAG)
4. AI Agents
5. Multimodal AI Application
6. Fine-Tuning and AI Assistants
7. Voice AI & Avatars
8. AI Tool Stacking
9. AI Video Content Generation
10. SaaS Development
11. LLM Management
12. AI Content Marketing
13. AI Chatbots
14. Website Creation
15. AI Workflow Automation

To know more about these skills,
Check the infographic below 👇 

Have you started learning how to use AI?
Comment below 👇 

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

♻️ Share this to help your network learn AI

AI isn’t replacing jobs.
It’s upgrading people who use it.
But only if you know how to use it.

Most people are learning the wrong stuff.
The job market is shifting under your feet.
Smart learners will dominate.

These 15 AI skills will future-proof your career in 2025.

Prompt Engineering
Staying Updated
Retrieval-Augmented Generation (RAG)
AI Agents
Multimodal AI Application
Fine-Tuning and AI Assistants
Voice AI & Avatars
AI Tool Stacking
AI Video Content Generation
SaaS Development
LLM Management
AI Content Marketing
AI Chatbots
Website Creation
AI Workflow Automation


Stop using ChatGPT the default way.

Most people don’t realise they’re blocking 80% of its power.

Here’s how the Personalization feature in ChatGPT helps you get 10x better outputs from AI.

What is the Personalization feature in ChatGPT?
1. Allows users to set how ChatGPT should respond and what it should know about them via custom instructions.
2. Enables the model to adapt tone, style, and focus based on those user-defined preferences.
3. Utilises memory of past interactions (if enabled) so responses become more context-aware over time.
4. Gives different users distinct experiences even with similar prompts, reflecting their unique guidance.

Follow these steps:
1. Go to chatgpt.com
2. Click on your profile picture on bottom left.
3. Click ‘Personalization’.
4. Select ‘Base style and tone’ from the available options. This helps you set the basic style and tone of how ChatGPT responds to you.
5. In ‘Custom Instructions’ add what you want ChatGPT to have and not have in its outputs.
6. Add your nickname ChatGPT can use in chats.
7. Add your occupation so ChatGPT understands you better.
8. Add more information about your interests, values, tone of voice, writing style, and preferences.
9. Enable or disable memory to let ChatGPT know more about you
10. Enable or disable record mode to enable or disable ChatGPT using previous chats as references to create new outputs

Dos:
- Do specify your role and goals clearly so the model knows your context.
- Do define how you prefer the tone, style, and format of responses.
- Do keep your instructions concise and manageable rather than overly long.
- Do update or refine your custom instructions as your needs or projects evolve.
- Do use custom instructions to reduce repetition and improve consistency across chats.

Don'ts:
- Don’t overload the instruction fields with every little preference; it can reduce effectiveness.
- Don’t assume the model will read between vague instructions; be explicit when necessary.
- Don’t include extremely sensitive or proprietary personal data if you’re unsure about usage/privacy.
- Don’t forget to review how the model is behaving; custom instructions aren’t a “set-it-and-forget-it” guarantee.
- Don’t expect custom instructions alone to solve all prompt-engineering issues; they complement good prompting, not replace it.

To know more about it,
Check the infographic below 👇

What do you think about the Personalization Feature In ChatGPT?
Comment below 👇

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

♻️ Repost to help your network use ChatGPT better

Stop using ChatGPT the default way.

Most people don’t realise they’re blocking 80% of its power.

Here’s how the Personalization feature in ChatGPT helps you get 10x better outputs from AI.

What is the Personalization feature in ChatGPT?
Allows users to set how ChatGPT should respond and what it should know about them via custom instructions.
Enables the model to adapt tone, style, and focus based on those user-defined preferences.
Utilises memory of past interactions (if enabled) so responses become more context-aware over time.
Gives different users distinct experiences even with similar prompts, reflecting their unique guidance.

Follow these steps:
Go to chatgpt.com
Click on your profile picture on bottom left.
Click ‘Personalization’.
Select ‘Base style and tone’ from the available options. This helps you set the basic style and tone of how ChatGPT responds to you.
In ‘Custom Instructions’ add what you want ChatGPT to have and not have in its outputs.

You’re analysing data wrong. 

Because you’re doing it manually. 

Here’s how ChatGPT helps you get hours of data analysis work done in minutes.

1. Go to chatgpt.com 
2. Add your dataset
3. Write your prompt.
4. Get the analysis done by ChatGPT.
5. Add a follow-up prompt if required

Prompt I've used: 
- Act as a professional data analyst. I've attached a dataset here of Uber rides. I want you to perform data cleaning of this data and spot inconsistencies, missing values, or duplicates in datasets & fix them. I also want you to highlight patterns, correlations, distributions & potential outliers in this dataset & create a report of takeaways from this dataset. 

After I got the output, I needed just concise key takeaways from the data. So, here's my follow-up prompt: 
- Write about 3 key takeaways from this data. 

Output I got:
- ChatGPT cleaned the data & gave me a good report, & then here are the key takeaways I got in an easy-to-understand way.

Do's of using ChatGPT for data analysis:
✅ Do prep your dataset.
✅ Do ask clear, specific analysis questions.
✅ Do validate AI results with real stats.
✅ Do use visualisations for better insights.
✅ Do cross-check with domain knowledge.

Don'ts of using ChatGPT for data analysis:
❎ Don't feed raw, messy data directly.
❎ Don't assume outputs are always accurate.
❎ Don't skip checking for bias or outliers.
❎ Don't use vague prompts like "analyse this".
❎ Don't rely on AI alone; always verify.

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

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

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

♻️ Share this to help your network use AI

How To Use ChatGPT For Analysis

I thought Google Nano Banana Pro was just another flashy update in AI image generation.

But I got a shock when I tried it for multiple business use cases.

Here’s the ultimate guide to creating mind-bending images with Google's Nano Banana Pro AI image generation model.

Prompt Template to create images:
Create a highly detailed image of [insert subject] set in [insert environment or setting], captured in [insert camera style or artistic style]. The scene should emphasize [insert key features, mood, or atmosphere], with lighting that enhances [insert lighting preference such as dramatic shadows, soft glow, neon reflections]. Include specific visual elements like [insert defining objects, textures, colors], and ensure the final image appears realistic, cinematic, and cohesive with strong composition.

How To Use It?
1. Go to gemini.google.com
2. Select the ‘Thinking’ model
3. Select ‘Create images’ in tools
4. Add your reference images if required
5. Add your prompt
6. AI generates the output in a minute

Do’s:
✅ Always use high-quality, well-lit reference images for crisp results.
✅ Specify subject, action, and setting clearly in each prompt.
✅ Refine with camera angle, lighting, and style details for better accuracy.
✅ Use constraints like aspect ratio or resolution for targeted results.
✅ Iterate by tweaking prompts for improved output quality.

Don’ts:
❎ Don’t use vague or generic prompts; results will be bland or off-target.
❎ Don’t overload with too many style or action requests in one prompt.
❎ Don’t use low-resolution or group photos as reference; AI struggles with blurry or crowded faces.
❎ Don’t forget identity markers when blending multiple people or scenes.
❎ Don’t expect perfect tiny text or intricate textures; these can render inaccurately.

To get more tips,
Check the infographic below 👇

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

What do you think about this new and trending AI image generation model?
Comment below 👇

♻️ Repost to help your network create better images with AI

I thought Google Nano Banana Pro was just another flashy update in AI image generation.

But I got a shock when I tried it for multiple business use cases.

Here’s the ultimate guide to creating mind-bending images with Google's Nano Banana Pro AI image generation model.

Prompt Template to create images:
Create a highly detailed image of [insert subject] set in [insert environment or setting], captured in [insert camera style or artistic style]. The scene should emphasize [insert key features, mood, or atmosphere], with lighting that enhances [insert lighting preference such as dramatic shadows, soft glow, neon reflections]. Include specific visual elements like [insert defining objects, textures, colors], and ensure the final image appears realistic, cinematic, and cohesive with strong composition. 

How To Use It?
Go to gemini.google.com
Select the ‘Thinking’ model
Select ‘Create images’ in tools
Add your reference images if required
Add your prompt

I used to end every day feeling like I worked all day but achieved less than my potential.

Then I added a new tool to my workflow, and the upgrade felt almost unfair.
I've added Google's Gemini 3.

Here’s the complete guide on how to use Google Gemini 3 to get more work done in less time.

Prompt framework you should use:
Role: Define who the AI should act as (e.g., expert, teacher, coach).
Task: Specify the exact job or output you want the AI to complete.
Context: Give details, boundaries, and exclusions to guide the AI properly.
Reasoning: Ensure logical steps, accuracy, and validation checks.
Output format: Tell ChatGPT the exact structure in which to return results.
Stop conditions: Clarify when ChatGPT should consider the task finished.

Prompt template:
Act as [Role] to [Task].
Begin with a checklist of 3–7 steps to plan how you’ll complete the task.
Ensure the content is accurate, unique, and excludes [things to avoid].
Prioritize clarity and practical value when presenting results.
Internally validate and cross-check information before finalizing.
Return the results in this format: [desired output format].
The task is complete when [stop condition].

Use cases of Google Gemini 3:
1. Do data analysis 
2. Create data visualisations
3. Create insane visuals for marketing, training, sales, and support
4. Create presentations
5. Create research reports
6. Create web apps
7. Create websites
8. Solve problems faster
9. Create games

To get more tips on how to use it better,
Check the infographic below 👇 

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

What do you think about Google Gemini 3?
Comment below 👇 

♻️ Repost to help your network be productive at work with Google Gemini 3

I used to end every day feeling like I worked all day but achieved less than my potential.

Then I added a new tool to my workflow, and the upgrade felt almost unfair.
I've added Google's Gemini 3.

Here’s the complete guide on how to use Google Gemini 3 to get more work done in less time.

Prompt framework you should use:
Role: Define who the AI should act as (e.g., expert, teacher, coach).
Task: Specify the exact job or output you want the AI to complete.
Context: Give details, boundaries, and exclusions to guide the AI properly.
Reasoning: Ensure logical steps, accuracy, and validation checks.
Output format: Tell ChatGPT the exact structure in which to return results.
Stop conditions: Clarify when ChatGPT should consider the task finished.

Stop writing random prompts.

Start writing structured ones that make AI work as your partner.

Here are 30 ChatGPT prompt templates to write better prompts. 

1. Detailed Instruction Template
"Give me detailed, step-by-step instructions on how to [perform a task]."
Example:
"Give me detailed, step-by-step instructions on how to set up a home Wi-Fi network."

2. Role Play Specialist Template
"Act as a [role/expert]. Help me with [problem/situation]."
Example:
"Act as a tax accountant. Help me with filing self-employment taxes."

3. Explain Like I’m Five (ELI5) Template
"Explain [concept] to me as if I were five years old."
Example:
"Explain blockchain technology to me as if I were five years old."

4. Comparison Table Template
"Create a table comparing [items or concepts] based on [criteria]."
Example:
"Create a table comparing electric vehicles, hybrids, and gasoline cars based on price, range, and emissions."

5. Pros and Cons List Template
"List the pros and cons of [topic/decision/technology]."
Example:
"List the pros and cons of working remotely full-time."

To know more prompt templates,
Check the infographic below 👇

What other prompt templates would you recommend adding here?
Comment below 👇

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

♻️ Share this to help your network use ChatGPT

Stop writing random prompts.

Start writing structured ones that make AI work as your partner.

Here are 30 ChatGPT prompt templates to write better prompts. 

1. Detailed Instruction Template
"Give me detailed, step-by-step instructions on how to [perform a task]."
Example:
"Give me detailed, step-by-step instructions on how to set up a home Wi-Fi network."

2. Role Play Specialist Template
"Act as a [role/expert]. Help me with [problem/situation]."
Example:
"Act as a tax accountant. Help me with filing self-employment taxes."

3. Explain Like I’m Five (ELI5) Template
"Explain [concept] to me as if I were five years old."
Example:
"Explain blockchain technology to me as if I were five years old."

4. Comparison Table Template
"Create a table comparing [items or concepts] based on [criteria]."
Example:
"Create a table comparing electric vehicles, hybrids, and gasoline cars based on price, range, and emissions."

5. Pros and Cons List Template
"List the pros and cons of [topic/decision/

30 AI algorithms that secretly run your life.

They choose what you watch.
They predict what you buy.
They know you better than you know yourself.

Here are 30 AI algorithms you can't miss.

1. Linear Regression
Predicts a number based on a straight-line relationship. Example: Predicting house prices from size.

2. Logistic Regression
Predicts a yes/no outcome (like spam or not spam). Despite the name, it’s used for classification.

3. Decision Tree
Uses a tree-like model of decisions with if-else rules. Easy to understand and visualize.

4. Random Forest
Builds many decision trees and combines their answers. More accurate and less likely to overfit.

5. Support Vector Machine (SVM)
Finds the best line (or boundary) that separates different classes. Works well for high-dimensional data.

6. K-Nearest Neighbors (k-NN)
Looks at the ‘k’ closest data points to decide what a new point should be. No learning phase, just compares.

7. Naive Bayes
Based on Bayes’ Theorem and assumes all features are independent. Fast and good for text classification.

8. Gradient Boosting
Builds models one after another, each fixing the previous one’s mistakes. Powerful but slow.

9. AdaBoost
Like gradient boosting, it combines weak models into a strong one using weighted votes.

10. XGBoost
A super-efficient version of gradient boosting, very popular in machine learning competitions.

To know more AI algorithms, 
Check the infographic below 👇

Have you started learning AI?
Comment below 👇

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

♻️ Share this post to help your network learn AI

30 AI algorithms that secretly run your life.

They choose what you watch.
They predict what you buy.
They know you better than you know yourself.

Here are 30 AI algorithms you can't miss.

Linear Regression
Predicts a number based on a straight-line relationship. Example: Predicting house prices from size.

2. Logistic Regression
Predicts a yes/no outcome (like spam or not spam). Despite the name, it’s used for classification.

3. Decision Tree
Uses a tree-like model of decisions with if-else rules. Easy to understand and visualize.

4. Random Forest
Builds many decision trees and combines their answers. More accurate and less likely to overfit.

5. Support Vector Machine (SVM)
Finds the best line (or boundary) that separates different classes. Works well for high-dimensional data.

6. K-Nearest Neighbors (k-NN)
Looks at the ‘k’ closest data points to decide what a new point should be. No learning phase, just compares.

Most people think they’re critical thinkers. 
They’re not.

They confuse skepticism with depth.
They confuse doubt with wisdom.
They confuse noise with thought.

These 25 ChatGPT prompts show you what real critical thinking looks like. 

1. First-Principles Deconstruction 
Act as a first-principles analyst. Decompose the problem: “{insert problem}” into its smallest assumptions, physical/financial/logical constraints, and causal mechanisms. For each assumption, evaluate its necessity (must-have vs convenience) and testability (how to falsify). Rebuild a solution from only the indispensable parts. Output in sections: Assumptions, Constraints, Mechanisms, Tests, Rebuild, Risks, Final Recommendation.
 
 2. Steelman the Opposition 
Act as an impartial philosopher. State my position: “{insert position}.” Identify the strongest possible opposing thesis that a highly intelligent critic would advance. Present the opponent’s best arguments, evidence, and counterexamples. Then respond by improving my position (not attacking a strawman) with revisions, concessions, and better evidence. Output sections: My Thesis, Steelman Opposition, Rebuttal, Revisions to My Thesis, Updated Thesis.
 
 3. Decision Tree with Expected Value 
Act as a decision scientist. For the choice “{insert decision},” enumerate mutually exclusive options. For each option, map a decision tree with key uncertainties and outcomes. Estimate probabilities, costs, and benefits; compute expected values and confidence ranges. Conclude with the dominant option, critical variables (by EV sensitivity), and what evidence would most change the decision. Output: Options, Trees, EV Table, Sensitivity, Value of Information, Recommendation.
 
 4. Red Team Pre-Mortem 
Act as a red-team strategist. Assume the plan “{insert plan}” failed catastrophically in 12 months. List the top 10 plausible failure modes, early warning signals for each, severity/likelihood ratings, and concrete countermeasures. Conclude with a prioritized mitigation roadmap and a monitoring dashboard (leading indicators, thresholds, and actions).
 
 5. Causal Map and Intervention Points 
Act as a causal modeler. Build a cause-effect map for “{insert outcome to improve},” identifying upstream drivers, mediators, and feedback loops. Label each link with direction and plausible strength. Propose 5 leverage points where small interventions could yield outsized effects, including intervention design, measurement, risks, and fallback plans.

To get more ChatGPT prompts, 
Check the infographic below 👇 

Have you tried using AI as your thinking partner?
Comment below 👇 

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

♻️ Share this to help your network use AI for critical thinking

Most people think they’re critical thinkers. 
They’re not.

They confuse skepticism with depth.
They confuse doubt with wisdom.
They confuse noise with thought.

These 25 ChatGPT prompts show you what real critical thinking looks like. 

1. First-Principles Deconstruction 
Act as a first-principles analyst. Decompose the problem: “{insert problem}” into its smallest assumptions, physical/financial/logical constraints, and causal mechanisms. For each assumption, evaluate its necessity (must-have vs convenience) and testability (how to falsify). Rebuild a solution from only the indispensable parts. Output in sections: Assumptions, Constraints, Mechanisms, Tests, Rebuild, Risks, Final Recommendation.

You give it a prompt.
It replies in seconds.
But here’s the part nobody tells you...

It doesn’t understand the way you do.
It’s not trained like humans.
It’s just... predicting?

Here’s the truth about how ChatGPT works and why it’s terrifyingly effective.

Step 1: You type a prompt.
Step 2: ChatGPT splits your input into smaller pieces called “tokens”.
Step 3: It converts these tokens into numbers (vectors) so the computer can understand them.
Step 4: ChatGPT checks where each token appears in your message using “positional encoding”.
Step 5: It uses powerful “transformer” neural networks to analyze all tokens at once, not just one by one.
Step 6: The model pays special attention to the most important words in your input using the “attention mechanism”.
Step 7: All this information passes through many transformer layers to understand deeper meaning.
Step 8: The model recalls patterns & knowledge learned from millions of examples in its training data.
Step 9: It predicts what word (token) should come next, aiming for the most likely and meaningful response.
Step 10: ChatGPT generates one token at a time, building its reply step by step. 

To know more about how ChatGPT works,
Check the infographic below 👇

Have you started learning AI?
Comment below 👇

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

♻️ Share this to help your network learn how ChatGPT works

You give it a prompt.
It replies in seconds.
But here’s the part nobody tells you...

It doesn’t understand the way you do.
It’s not trained like humans.
It’s just... predicting?

Here’s the truth about how ChatGPT works and why it’s terrifyingly effective.

Step 1: You type a prompt.
Step 2: ChatGPT splits your input into smaller pieces called “tokens”.
Step 3: It converts these tokens into numbers (vectors) so the computer can understand them.
Step 4: ChatGPT checks where each token appears in your message using “positional encoding”.
Step 5: It uses powerful “transformer” neural networks to analyze all tokens at once, not just one by one.
Step 6: The model pays special attention to the most important words in your input using the “attention mechanism”.
Step 7: All this information passes through many transformer layers to understand deeper meaning.
Step 8: The model recalls patterns & knowledge learned from millions of examples in its training data.

You're learning too slowly without realising it.

Here’s how to learn faster than ever with AI with Google NotebookLM.

About Google NotebookLM
- AI-powered “virtual research and learning assistant” that uses your uploaded content and prompt as a basis for conversation.
- Accepts diverse sources like PDFs, Google Docs, websites and Google Slides and can answer questions grounded in them.
- Generates summaries, explanations and even audio overviews (podcast-style) to help you understand learning materials quickly.

Follow these steps:
1. Go to notebooklm.google.com
2. Check any featured notebook if you want
3. Click ‘Create New Notebook’ to create a new one
4. Add the doc or link from which you want to learn
5. NotebookLM starts working on creating easy-to-digest content from your learning material.
6. You’ll get the study material summary prepared by NotebookLM.
7. Based on it, NotebookLM can create:
  - Audio podcast
  - Explainer video
  - Mind map
  - Reports
  - Flashcards
  - Quiz

How to use the output created by NotebookLM:
- You can share a custom link of your notebook for anyone to use it.

Do’s of using NotebookLM:
✅ Upload clean, relevant sources.
✅ Ask clear, specific questions.
✅ Organise into topic notebooks.
✅ Use summaries, quizzes, and overviews.
✅ Cross-check outputs with sources.

Don’ts of using NotebookLM:
❎ Don’t expect knowledge beyond uploads.
❎ Don’t dump irrelevant content.
❎ Don’t ask vague, broad questions.
❎ Don’t over-trust compressed summaries.
❎ Don’t share sensitive data.

To know more about NotebookLM,
Check the infographic below 👇

Have you tried using AI for learning?
Comment below 👇

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

♻️ Repost to help your network learn efficiently with AI

You're learning too slowly without realising it.

Here’s how to learn faster than ever with AI with Google NotebookLM.

About Google NotebookLM
AI-powered “virtual research and learning assistant” that uses your uploaded content and prompt as a basis for conversation.
Accepts diverse sources like PDFs, Google Docs, websites and Google Slides and can answer questions grounded in them.
Generates summaries, explanations and even audio overviews (podcast-style) to help you understand learning materials quickly.
Try here: notebooklm.google.com

Follow these steps:
Go to notebooklm.google.com
Check any featured notebook if you want
Click ‘Create New Notebook’ to create a new one
Add the doc or link from which you want to learn
NotebookLM starts working on creating easy-to-digest content from your learning material.
You’ll get the study material summary prepared by NotebookLM.
Based on it, NotebookLM can create:
Audio podcast
Explainer video
Mind map
Reports
Flashcards
Quiz

Anyone today can build an app.

With AI. In 5 minutes. From a single text prompt. Without any technical knowledge. 

Here’s the ultimate prompting guide to help you build apps with AI.

I use Replit.
It is a tool with which anyone can build mobile and web apps with AI from simple text prompts without writing a single line of code with Replit’s powerful AI agent.

How it works:
1. Go to replit.com 
2. Signup 
3. Describe the app or design idea in the build and design section
4. Select what you want to build
5. Add reference files or Figma designs or an existing project to build an app
6. Add your prompt
7. Get your prompt refined with AI if required
8. Submit your prompt
9. AI Agent starts building
10. You get the entire app built in minutes
11. Follow-up if you need any changes
12. Preview and test it
13. Invite your team to check and make any changes
14. Publish with Replit 

Do’s:
✅ Define a clear problem and user outcome before prompting.
✅ Start with a well-defined feature set and expand only after basic flow works.
✅ Provide concrete examples, data formats, and edge cases in your prompts.
✅ Test each generated feature manually in real user scenarios.

Don’ts:
✅ Do not expect the first generation to be production ready without review.
✅ Do not mix multiple unrelated features in a single long prompt.
✅ Do not skip security checks such as auth, validation, and rate limiting.
✅ Do not rely only on auto tests run by the tool without your own testing.
✅ Do not deploy to real users without monitoring, logging, and error alerts.

To get the complete guide to build apps with AI,
Check the infographic below 👇 

Try here: https://lnkd.in/e6Eua37q

What do you think about building apps with AI?
Comment below 👇 

♻️ Repost to help your network cook apps with AI

Every successful CEO has one secret weapon.

It’s not talent, money, or luck.
It’s the ability to make better decisions.

Here are 30 powerful ChatGPT prompts for efficient decision-making.

Strategic Business Decision Evaluation 
- I am deciding between [Option A], [Option B], and [Option C] for my business. Provide a structured decision matrix where you track each option against evaluation metrics such as long-term ROI, alignment, risks, and feasibility. Assign weights to each factor, rank for each score, and end with a scenario recommendation of the best choice along with possible trade-offs.
 
 Personal Life Choice Analysis 
- I need to decide between [Choice A], [Choice B], and [Choice C] for my personal situation. Consider life constraints like financial stability, budget, time, location, lifestyle impact, and weighted pros/cons to create a logical framework that concludes, supports, risks, and recommends the best direction based on what aligns with a clear justification.
 
 Career Path Decision Aid 
- I’m torn between pursuing [Career Path A] and [Career Path B]. Analyse both paths in terms of salary potential, required skills, long-term growth opportunities, and career stability. For each option note risks and rewards, highlight career paths made by others with similar roles, and decide which one is the best fit for my values [insert personal values].
 
Investment Opportunity Comparison 
- I am considering investing in [Investment A], [Investment B], or [Investment C]. Create a risk/return analysis, a timeline to liquidity, use of long-term potential gains, income stream potential, and which option is most aligned with my financial portfolio strategy. Provide a decision recommendation of which option is superior for my investor profile.
 
 Time Management Decision Support 
- I have [X hours] available per day and need to allocate them between [Activity A], [Activity B], and [Activity C]. Optimise the schedule with balances in effectiveness, rest, and long-term productivity. Recommend the best time allocation plan with practical proof and examples, and create a framework based on a sample day plan.

Note: AI can help you with fast decision-making, but take all important decisions only by adding your human thinking and intuition to it.

To get more ChatGPT prompts, 
Check the infographic below 👇 

Which one prompt did you like the most here?
Comment below 👇 

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

♻️ Share this post to help your network use AI for better decision-making

Every successful CEO has one secret weapon.

It’s not talent, money, or luck.
It’s the ability to make better decisions.

Here are 30 powerful ChatGPT prompts for efficient decision-making.

Strategic Business Decision Evaluation 
I am deciding between [Option A], [Option B], and [Option C] for my business. Provide a structured decision matrix where you track each option against evaluation metrics such as long-term ROI, alignment, risks, and feasibility. Assign weights to each factor, rank for each score, and end with a scenario recommendation of the best choice along with possible trade-offs.
 
 Personal Life Choice Analysis 
I need to decide between [Choice A], [Choice B], and [Choice C] for my personal situation. Consider life constraints like financial stability, budget, time, location, lifestyle impact, and weighted pros/cons to create a logical framework that concludes, supports, risks, and recommends the best direction based on what aligns with a clear justification.

You don't need to spend hundreds of hours on learning the old way. 

Perplexity can become your smartest tutor only if you know what to ask.

Here are 20 Perplexity prompts that will help you learn more in less time.

Here are the use cases for which you can use Perplexity for learning:
✅ Comprehensive Topic Overview
✅ Step-by-Step Learning Roadmap
✅ Concept Comparison Table
✅ Academic Paper Summary & Analysis
✅ Beginner-Friendly Theory Explanation
✅ Chronological Timeline of Key Events
✅ Case Study Breakdown
✅ List of Best Practices
✅ Technical Term Deep Dive
✅ Overview of Research Methodologies

And more use cases with prompts are covered in the infographic below 

Will you try using Perplexity for learning?
Comment below 👇 

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

🔁 Repost to help your network use AI for learning

You don't need to spend hundreds of hours on learning the old way. 

Perplexity can become your smartest tutor only if you know what to ask.

Here are 20 Perplexity prompts that will help you learn more in less time.

Here are the use cases for which you can use Perplexity for learning:
✅ Comprehensive Topic Overview
✅ Step-by-Step Learning Roadmap
✅ Concept Comparison Table
✅ Academic Paper Summary & Analysis
✅ Beginner-Friendly Theory Explanation
✅ Chronological Timeline of Key Events
✅ Case Study Breakdown
✅ List of Best Practices
✅ Technical Term Deep Dive
✅ Overview of Research Methodologies

It took them 9 years to hit $500,000,000 ARR.

Then just one year to 2x it.

This is what you get,
When infrastructure finally catches up with ambition.

Because scaling businesses globally shouldn’t feel like fighting gravity.

The fastest-growing companies, from Canva to Brex, aren’t waiting on legacy systems.
They’re growing with Airwallex

They’re moving money, 
Across 60+ currencies without friction.
Managing spend, 
And scaling financial operations for global businesses.

$1,000,000,000 ARR isn’t just a regular financial milestone.

It’s proof that borderless finance is becoming the default layer of global business.

And for founders building the next wave of AI, SaaS, or e-commerce,
This is the infrastructure quietly powering your growth behind the scenes.

The internet made business global.
Airwallex made finance global.

Why I like Airwallex 👇
→ Trusted by 150,000+ companies.
→ Built for scale, speed, and smarter cross-border ops.

Legacy banking had a good run.
But the next era of growth?
It’s built on infrastructure that moves as fast as you do.

Learn more here 👉 https://lnkd.in/e8KW2nv8

What do you think about using such a globally scalable financial infrastructure in businesses? 
Comment below 👇 

♻️ Share this to help your network use modern financial systems in their businesses 

#AirwallexPartner

You’re still doing manual work in 2025?

It’s draining profits.
It’s wasting hours.
It’s killing growth.

Here are 50 AI tools that will help you with your most painful tasks.

Marketing
- Writesonic
- Taplio

Sales
- Clay
- Apollo

Development
- Cursor
- Windsurf

Support
- Folk
- Tidio

Operations
- Notion
- Rows

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

What other AI tools would you recommend adding here?
Comment below 👇

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

♻️ Share this to help your network use the best AI tools

You’re still doing manual work in 2025?

It’s draining profits
It’s wasting hours
It’s killing growth

Here are 50 AI tools that will help you with your most painful tasks.

Marketing
Writesonic
Taplio

Sales
Clay
Apollo

Development
Cursor
Windsurf

Support
Folk
Tidio

Operations
Notion
Rows

I joined Mindstream in 2024, and it’s been a wild ride ever since, growing the newsletter, shaping the brand voice, and helping it become one of the fastest-growing names in AI.

Then HubSpot acquired us.

As the main writer on the team, I helped scale the newsletter to reach 200,000+ readers, making AI actually useful for marketers and creatives.

Now, I create content that shows how AI can save you hours, not add to your stress. I share practical tips for using AI in your marketing and copywriting workflow, no fluff, no fearmongering, just tools that work.

If you’ve ever opened ChatGPT and thought, now what?

I’m your girl.

Let’s make AI make sense.

Maria Gharib

You’re working too hard.

Someone else is doing less.

And getting more work done.

Here are the best AI tools for each occupation.

Marketing:

Taplio
- Grow fast on LinkedIn with AI-powered content creation, viral post inspiration, engagement, and lead generation.

Ahrefs
- It is simply the best all-in-one AI-powered SEO tool on the market.

Writesonic
- Your 24/7 AI Team for SEO, Content & Generative Engine Optimization.

Jasper
- It is the purpose-built generative AI platform for marketing.

SEO Bot
- Fully autonomous SEO robot with AI agents.

Outrank
- Get traffic and outrank competitors with automatic SEO-optimized content generation.

Tweet Hunter
- Grow fast on X with creating content with AI, get assistance with scheduling, engagement, and content inspiration.

VidIQ
- YouTube growth coach to help you grow your brand on YouTube.

Sales:

Instantly AI
- Continuously boost email deliverability and sender reputation with Instantly's enterprise-grade email deliverability tools.

Superhuman
- Collaborate faster and get more done with AI-powered email.

Folk
- A simple, integrated, and proactive AI-powered CRM.

Bland AI
- AI phone agents that sound human, speak any language, and work 24/7.

Gong
- Centralize all your revenue workflows in a unified platform.

To know more AI tools for other occupations, 
Check the infographic below 👇

What other new AI tools would you recommend adding here?
Comment below 👇

Learn AI for FREE: https://lnkd.in/dt6QV3zr 

♻️ Share this to help your network use the best AI tools

You’re working too hard.

Someone else is doing less.

And getting more work done.

Here are the best AI tools for each occupation.

Marketing
Taplio
Grow fast on LinkedIn with AI-powered content creation, viral post inspiration, engagement, and lead generation.
Ahrefs
It is simply the best all-in-one AI-powered SEO tool on the market.
Writesonic
Your 24/7 AI Team for SEO, Content & Generative Engine Optimization.
Jasper
It is the purpose-built generative AI platform for marketing.
SEO Bot
Fully autonomous SEO robot with AI agents.
Outrank
Get traffic and outrank competitors with automatic SEO-optimized content generation.
Tweet Hunter
Grow fast on X with creating content with AI, get assistance with scheduling, engagement, and content inspiration.
VidIQ
YouTube growth coach to help you grow your brand on YouTube.

Sales
Instantly AI
Continuously boost email deliverability and sender reputation with Instantly's enterprise-grade email deliverability tools.

You think you are bad at copywriting. 

You're wrong. 

You just don't know these 10 frameworks yet.

✅ AIDA (Attention, Interest, Desire, Action) 
✅ PAS (Problem, Agitation, Solution) 
✅ FAB (Features, Advantages, Benefits)
✅ 4Ps (Picture, Promise, Prove, Push) 
✅ Before-After-Bridge
✅ Problem–Agitate–Invalidate–Solve (PAIS)
✅ QUEST (Qualify, Understand, Educate, Stimulate, Transition)
✅ The 5 Basic Objections (Need, Trust, Money, Urgency, Timing)
✅ Problem-Promise-Proof-Proposal
✅ 4Cs (Clear, Concise, Compelling, Credible) 

And get their detailed explanations in the carousel attached. 

Which copywriting framework is your favorite? 
Let me know in the comments 👇 

Learn AI for free 👉 https://lnkd.in/dn33FrqP  

♻️ Repost to help your network master copywriting

Copywriting Frameworks

Don't brainstorm like it's 2020.

Spending hours thinking is over.
Scribbling on a whiteboard is boring.
This is better.

It’s AI-powered.
Super fast.
Shockingly creative.

Here are 20 Perplexity prompts to think faster and better.

1. Differentiation Strategies
List 10 actionable strategies that [company/brand/product] can implement to stand out from competitors in the [industry/market]. For each strategy, provide a practical example, anticipated benefit, and potential implementation challenges.

2. Comprehensive Risk Identification
Brainstorm 12 potential risks associated with launching [product/service/initiative] in [specific market/environment]. For every identified risk, outline probable causes, the potential impact, and a concise mitigation strategy or contingency plan.

3. Future Scenario Planning
Create 4 plausible future scenarios for [industry/company] over a five-year horizon. For each scenario, briefly summarize major driving forces, risks, opportunities, and strategic recommendations for adapting to or capitalizing on that scenario.

To get more prompts,
Check the infographic below 👇 

Do you use Perplexity regularly?
Comment below 👇 

Learn AI for free: https://lnkd.in/dt6QV3zr 

♻️ Share this to help your network use Perplexity

Don't brainstorm like it's 2020.

Spending hours thinking is over.
Scribbling on a whiteboard is boring.
This is better.

It’s AI-powered.
Super fast.
Shockingly creative.

Here are 20 Perplexity prompts to think faster and better.

1. Differentiation Strategies
List 10 actionable strategies that [company/brand/product] can implement to stand out from competitors in the [industry/market]. For each strategy, provide a practical example, anticipated benefit, and potential implementation challenges.

2. Comprehensive Risk Identification
Brainstorm 12 potential risks associated with launching [product/service/initiative] in [specific market/environment]. For every identified risk, outline probable causes, the potential impact, and a concise mitigation strategy or contingency plan.

Most people think they’re critical thinkers. 
They’re not.

They confuse skepticism with depth.
They confuse doubt with wisdom.
They confuse noise with thought.

These 25 ChatGPT prompts show you what real critical thinking looks like. 

1. First-Principles Deconstruction 
Act as a first-principles analyst. Decompose the problem: “{insert problem}” into its smallest assumptions, physical/financial/logical constraints, and causal mechanisms. For each assumption, evaluate its necessity (must-have vs convenience) and testability (how to falsify). Rebuild a solution from only the indispensable parts. Output in sections: Assumptions, Constraints, Mechanisms, Tests, Rebuild, Risks, Final Recommendation.
 
 2. Steelman the Opposition 
Act as an impartial philosopher. State my position: “{insert position}.” Identify the strongest possible opposing thesis that a highly intelligent critic would advance. Present the opponent’s best arguments, evidence, and counterexamples. Then respond by improving my position (not attacking a strawman) with revisions, concessions, and better evidence.
Output sections: My Thesis, Steelman Opposition, Rebuttal, Revisions to My Thesis, Updated Thesis.
 
 3. Decision Tree with Expected Value 
Act as a decision scientist. For the choice “{insert decision},” enumerate mutually exclusive options. For each option, map a decision tree with key uncertainties and outcomes. Estimate probabilities, costs, and benefits; compute expected values and confidence ranges. Conclude with the dominant option, critical variables (by EV sensitivity), and what evidence would most change the decision.
Output: Options, Trees, EV Table, Sensitivity, Value of Information, Recommendation.
 
 4. Red Team Pre-Mortem 
Act as a red-team strategist. Assume the plan “{insert plan}” failed catastrophically in 12 months. List the top 10 plausible failure modes, early warning signals for each, severity/likelihood ratings, and concrete countermeasures. Conclude with a prioritized mitigation roadmap and a monitoring dashboard (leading indicators, thresholds, and actions).
 
 5. Causal Map and Intervention Points 
Act as a causal modeler. Build a cause-effect map for “{insert outcome to improve},” identifying upstream drivers, mediators, and feedback loops. Label each link with direction and plausible strength. Propose 5 leverage points where small interventions could yield outsized effects, including intervention design, measurement, risks, and fallback plans.

To get more ChatGPT prompts, 
Check the infographic below 👇 

Have you tried using AI as your thinking partner?
Comment below 👇 

Learn AI for free: https://lnkd.in/dt6QV3zr 

♻️ Share this to help your network use AI for critical thinking

ChatGPT isn’t broken.

Your prompts are.

Here's a guide on how to create the perfect ChatGPT prompt.

Prompt template
Act as [Role] to [Task].
Consider the following context: [Context – details, rules, and exclusions].
Apply clear reasoning: [Reasoning – validation, accuracy, logic checks].
Return the response in this format: [Output format].
The task is complete when [Stop condition].

Example prompt
Act as a career coach to create 5 unique strategies for standing out in a tech job interview.
Consider the following context: The audience is fresh graduates entering the tech industry, and exclude generic advice such as “dress well” or “be confident.”
Apply clear reasoning: Base recommendations on hiring data, validated practices from recruiters, and logical steps to ensure practicality.
Return the response in this format: A table with [Strategy | Why it matters | How to implement].
The task is complete when 5 strategies are provided by you, validated for accuracy, and clearly actionable.

Pros of using this prompt framework
- Clear role reduces vagueness.
- Stepwise tasks keep focus.
- Context improves relevance.
- Reasoning boosts accuracy.
- Output rules save editing.

Cons of using this prompt framework
- Longer to write.
- Can limit creativity.
- Needs user clarity.
- May feel repetitive.
- Stop rules are not always followed.

Do’s of using this prompt framework
✅ Define a clear role so the AI knows its perspective.
✅ State a specific task instead of vague requests.
✅ Add context and exclusions to reduce irrelevant answers.
✅ Specify the output format to control structure.
✅ Set a stop condition to prevent rambling responses.

Don’ts of using this prompt framework
❎ Don’t leave the role undefined; it makes outputs generic.
❎ Don’t give a task that’s too broad without boundaries.
❎ Don’t overload context with unnecessary details.
❎ Don’t skip the reasoning step; it risks errors and weak logic.
❎ Don’t forget to validate the output against your real goal.

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

What do you think of this prompt framework?
Comment below 👇

Learn AI for FREE: https://lnkd.in/dbmnseV3 

♻️ Share this to help your network prompt better

How To Create The Perfect ChatGPT Prompt

AI now makes ugly data look beautiful. 

No design degree required. 

Here's how to create infographics with AI for free.

1. Go to gemini.google.com
2. Enable ‘Canvas’
3. Add your prompt on what you want the infographic to be created
4. Select ‘Create’
5. Click ‘Infographic’
6. AI starts working on creating the infographic
7. You can share this infographic with the share button.
8. You can copy all contents of the infographic or also share it with a custom link.
9. You can also share the infographic on social media platforms.

Pros:
- Fast infographic generation.
- Easy for non-designers.
- Keeps visual consistency.
- Great for storytelling visuals.
- Cuts outsourcing costs.

Cons:
- Limited customisation options.
- Text can be hard to read.
- Odd or generic design choices.
- Less control over details.
- Risk of same-looking outputs.

Do's:
✅ Stick to one clear message in the prompt.
✅ Prompt for readable font hierarchy.
✅ Prompt to keep colours limited (2–4 max.).
✅ Prompt to add visuals that support data.
✅ Prompt to design for usage across devices.

Don'ts:
❎ Don’t overload with info.
❎ Don’t prompt to mix too many fonts.
❎ Don’t distort or mislead data by having a confusing prompt.
❎ Don’t prompt to crowd out white space.
❎ Don’t prompt to use low-contrast colours.

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

What do you think of creating infographics with AI?
Comment below 👇 

Learn AI for FREE: https://lnkd.in/dbmnseV3  

♻️ Share this to help your network use AI to create infographics

How To Create Infographics With AI For Free

You’re using AI daily.
But don’t know the important terms.
Here are 50 AI terms decoded for humans.

Ever heard of AGI?
What’s a Agents?
What's Generative AI?

This post will make you fluent in AI without sounding like a robot.

1. AI (Artificial Intelligence)
The science of making computers or machines perform tasks that usually require human intelligence, like learning, solving problems, or understanding language.

2. AI Agent
A program or robot that can sense its environment, make decisions, and act to achieve a goal, often with some independence.

3. AI Automation
Using AI to do repetitive tasks automatically, without human help, like sorting emails or managing schedules.

4. Generative AI
AI that can create new content, such as writing text, making images, or composing music, by learning from examples.

5. AI Image Generation
A process where AI creates new images either from scratch or from text descriptions or from reference images.

If you want to know more AI terms,
Check the infographic below 👇

Do you learn something new in AI every day?
Comment below 👇

Learn AI for free: https://lnkd.in/dt6QV3zr 

♻️ Share this post to help your network learn important AI terms

You’re using AI daily.
But don’t know the important terms.
Here are 50 AI terms decoded for humans.

Ever heard of AGI?
What’s a Agents?
What's Generative AI?

This post will make you fluent in AI without sounding like a robot.

1. AI (Artificial Intelligence)
The science of making computers or machines perform tasks that usually require human intelligence, like learning, solving problems, or understanding language.

2. AI Agent
A program or robot that can sense its environment, make decisions, and act to achieve a goal, often with some independence.

3. AI Automation
Using AI to do repetitive tasks automatically, without human help, like sorting emails or managing schedules.

4. Generative AI
AI that can create new content, such as writing text, making images, or composing music, by learning from examples.

5. AI Image Generation
A process where AI creates new images either from scratch or from text descriptions or from reference images.

AI won't replace copywriters.

But AI will replace copywriters who don't use AI.

Here are 10 AI tools top copywriters use secretly:

1. Quillbot
2. Lex
3. Kortex
4. Writesonic
5. Perplexity
6. Jasper
7. KIVA AI Agent
8. Ahrefs
9. Frase
10. Semrush

Check the carousel below to learn more about them.

What do you think about using AI for copywriting?
Comment below 👇

Learn AI for free 👉 https://lnkd.in/dbmnseV3 

♻️ Repost to help your network be a 10x better copywriter with AI

AI Tools For Copywriters

What if cramming wasn’t the answer?

ChatGPT's study mode helps turn confusion into clarity.

Here's how it helps you accelerate your learning.

1. Go to chatgpt.com
2. Click on ‘+’ on the prompt box
3. Go to ‘More’
4. Click ‘Study and learn’
5. Write your prompt
6. ChatGPT will give you an answer
7. ChatGPT will also ask you a follow-up question to see your understanding
8. Answer it and continue your conversation with ChatGPT to learn more on that topic

Pros of using study mode
- Uses Socratic questioning for active learning.
- Adapts to your level and goals.
- Breaks topics into simple steps.
- Builds reflection and critical thinking.
- Free for all ChatGPT users.

Cons of using study mode
- Sometimes slips into giving direct answers.
- Can still produce errors. Needs fact-checking.
- Easy to bypass for quick answers.
- Not linked with classroom systems.
- Tempting for students to turn off.

Do’s of using study mode
✅ Share your level and goals.
✅ Upload notes or PDFs.
✅ Engage with its questions.
✅ Use for learning, not shortcuts.
✅ Keep memory on for progress.

Don'ts of using study mode
❎ Don’t just demand answers.
❎ Don’t submit raw AI work.
❎ Don’t skip fact-checking.
❎ Don’t ignore school policies.
❎ Don’t avoid actual effort.

To get a detailed explanation, 
Check the carousel below 👇 

What do you think of ChatGPT's study mode?
Comment below 👇 

Learn AI for FREE: https://lnkd.in/dbmnseV3  

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How To Use ChatGPT's Study Mode

Most people prompt like amateurs.
And get average results.
Stop doing that.

Level up your input.
Control the output.
Get perfect responses from AI.

Here are 30 prompting hacks you can't miss out on.

✅ Specify the Role
Tell the model to act as a particular expert or persona.
Example: “Act as a financial advisor. Suggest ways to diversify my portfolio.”

✅ Give Context
Add background info relevant to your question or use case.
Example: “I’m a biology teacher; explain photosynthesis for 10th graders.”

✅ Provide Clear Instructions
Use direct language and specific action verbs.
Example: “Summarize this article in three sentences.”

✅ Define Output Format
State the desired format: list, table, summary, etc., for more tailored results.
Example: “List the pros and cons of electric cars in a table.”

To know more prompting hacks,
Check the infographic below 👇

What other prompting hack would you like to add here?
Comment below 👇

Learn AI for free: https://lnkd.in/dt6QV3zr 

♻️ Share this to help your network learn AI

Most people prompt like amateurs.
And get average results.
Stop doing that.

Level up your input.
Control the output.
Get perfect responses from AI.

Here are 30 prompting hacks you can't miss out on.

✅ Specify the Role
Tell the model to act as a particular expert or persona.
Example: “Act as a financial advisor. Suggest ways to diversify my portfolio.”

✅ Give Context
Add background info relevant to your question or use case.
Example: “I’m a biology teacher; explain photosynthesis for 10th graders.”

✅ Provide Clear Instructions
Use direct language and specific action verbs.
Example: “Summarize this article in three sentences.”

✅ Define Output Format
State the desired format: list, table, summary, etc., for more tailored results.
Example: “List the pros and cons of electric cars in a table.”

Labs isn’t just another regular feature in Perplexity.

It's a smart intern that works 24/7 to craft your project reports.

Here’s how to use it to create your go-to-market strategy.

But what is Perplexity's Labs feature?
- Builds full projects like reports and dashboards.
- Uses code, browsing, charts, and images.
- Slower than research but richer output.
- Acts like your AI project team.

Follow these steps:
1. Go to perplexity.ai
2. Click on the bulb icon in the prompt box
3. You’ve now enabled Labs
4. Write your prompt
5. Perplexity will prepare the report
6. Follow up if you need any changes

Pros
- Creates rich outputs like charts and dashboards.
- Automates multi-step tasks quickly.
- Combines browsing, coding, and design tools.
- Great for research and business work.
- Expands Perplexity into a productivity tool.

Cons
- Pro-only feature for more usage.
- Slower than simple queries.
- Can hallucinate data or visuals.
- Limited transparency in steps.
- Not a full substitute for specialised tools.

Do’s
✅ Be clear in your prompt.
✅ Add context and constraints.
✅ Use it for dashboards and visuals.
✅ Verify sources and data.
✅ Iterate with small tweaks.

Don'ts
❎ Don’t skip fact-checks.
❎ Don’t overload with tasks.
❎ Don’t share sensitive data.
❎ Don’t waste quota with random tries.
❎ Don’t expect perfection the first time.

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

What do you think about Perplexity's Labs feature?
Comment below 👇

Learn AI for FREE: https://lnkd.in/dbmnseV3 

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How To Use Perplexity Labs

You’re not bad at copywriting. 

You’re just not using storytelling in your copy. 

Steal these 10 storytelling hacks used by top marketers.

What other storytelling hack would you like to recommend?
Comment below 👇 

Learn AI for free 👉 https://lnkd.in/dn33FrqP 

♻️ Repost to help your network use the best storytelling hacks

Storytelling Hacks

Every problem an entrepreneur faces? There’s a GPT for that.

Marketing. Sales. Brainstorming. Operations.
You get a GPT to help with all of them.

Here are 65 custom GPTs on ChatGPT that work like growth engines for entrepreneurs.

Marketing
- Marketing
- Copywriter GPT
- SMMA | Social Media Marketing Agency | SEO
- Business Development & Digital Marketing Plan
- Email Marketing Copywriter

Sales
- Sales Coach
- Sales Cold Email Coach
- Strategic Sales Guide – Sales Manager
- Sales Copywriter
- Advizser: Talk to Your Marketing & Sales Data

E-mail
- Email and Mail Writer
- Professional/Business Email Writer
- Email Marketing Copywriter
- Instantly.ai – Cold Email Critique
- SalesGPT — Cold Email Outreach Assistant

Content Creation
- Short Form Script Writer
- Viral Linkedin Post Formatter
- YouTube scriptwriting with Engaging Hooks
- Instagram Post Writer
- X Thread Generator

Writing
- Write For Me
- AI Humanizer
- Humanize AI
- Copywriter GPT
- AI Humanizer Pro

To know more GPTs,
Check the infographic below 👇

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

Learn AI for free: https://lnkd.in/dt6QV3zr 

♻️ Share this to help your network use the best custom GPTs on ChatGPT

Every problem an entrepreneur faces? There’s a GPT for that. 

Marketing. Sales. Brainstorming. Operations.
You get a GPT to help with all of them. 

Here are 65 custom GPTs on ChatGPT that work like growth engines for entrepreneurs.

Marketing 
Marketing
Copywriter GPT
SMMA | Social Media Marketing Agency | SEO
Business Development & Digital Marketing Plan
Email Marketing Copywriter
 
 Sales 
Sales Coach
Sales Cold Email Coach
Strategic Sales Guide – Sales Manager
Sales Copywriter
Advizser: Talk to Your Marketing & Sales Data
 
 E-mail 
Email and Mail Writer
Professional/Business Email Writer
Email Marketing Copywriter
Instantly.ai – Cold Email Critique
SalesGPT — Cold Email Outreach Assistant
 
 Content Creation 
Short Form Script Writer
Viral Linkedin Post Formatter
YouTube scriptwriting with Engaging Hooks
Instagram Post Writer
X Thread Generator
 
 Writing 
Write For Me
AI Humanizer
Humanize AI
Copywriter GPT
AI Humanizer Pro

Your competition isn’t beating you with more ads.

They’re beating you with better research.

Here's how to use ChatGPT for marketing research and competitive analysis to help grow your business faster.

1. Go to chatgpt.com
2. Go to the GPT Store
3. Search for Marketing Research and Competitive Analysis
4. Go to that custom GPT
5. Click ‘Start Chat’
6. Use a starter prompt or take inspiration from the starter prompts to create your prompt
7. AI gives you the output in minutes
8. Follow up if you need more in-depth insights

Pros of using this GPT
- Instant competitor insights.
- Focused on marketing research.
- Uses frameworks like SWOT.
- Consistent report style.
- Saves hours of manual digging.

Cons of using this GPT
- Risk of AI hallucinations.
- Info may be outdated.
- Privacy/security concerns.
- Limited depth vs experts.
- Hard to customise further.

Do’s of using this GPT
✅ Define clear research goals.
✅ Use fresh, quality data.
✅ Cross-check outputs.
✅ Spot trends and patterns.
✅ Update data often.

Don'ts of using this GPT
❎ Don’t trust results blindly.
❎ Don’t upload confidential info.
❎ Don’t ignore human context.
❎ Don’t over-research one niche.
❎ Don’t overlook bias or ethics.

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

What do you think of using AI for marketing research and competitive analysis?
Comment below 👇 

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

♻️ Share this to help your network use AI for marketing research and competitive analysis

How To Use ChatGPT For Marketing Research 

Your words aren’t converting.

Because you're breaking some important rules.

Fix it with these 10 golden copywriting laws.

What other copywriting rule would you like to recommend?
Comment below 👇 

Learn AI for free 👉 https://lnkd.in/dn33FrqP 

♻️ Repost to help your network master important copywriting rules

Copywriting Rules

One sentence can make or break your sale.

Yes, it’s that powerful.

Master these 10 powerful copywriting hacks to write words that sell.

What other copywriting hacks would you like to recommend?
Comment below 👇 

Learn AI for free 👉 https://lnkd.in/dn33FrqP 

♻️ Repost to help your network write words that sell

Copywriting Hacks

Forget hours of manual note-taking.

Google AI Studio watches, understands, and helps you learn from YouTube videos.

Here's how 👇 

But what is Google AI Studio?
- It is a web-based IDE to prototype with Google’s generative AI models like Gemini.
- It gives you a prompt interface with model tuning and multimodal inputs like text and images.
- You can export prototype code or connect to APIs for real applications.
- It sits between a chatbot and Google’s full cloud ML platform (Vertex AI) as a developer sandbox.

Follow these steps:
1. Go to https://lnkd.in/dWVMfcqB
2. Go to the ‘Chat’ section
3. Paste Your YouTube video link
4. Write your prompt
5. Get the summary or notes generated
6. Follow-up if you have any questions

How I can use the output:
- I can copy and paste the summary in my digital notes
- I can prompt to modify it the way I want or ask follow-up questions to understand better

Do’s
✅ Check the context window.
✅ Get summaries, key ideas, and quizzes.
✅ Tune prompts for clarity and focus.

Don'ts
❎ Don’t skip fact-checking outputs.
❎ Don’t write vague prompts.
❎ Don’t write irrelevant tasks in prompts.
❎ Don’t skip structured prompts. 

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

What do you think of using AI for learning from YouTube videos?
Comment below 👇 

Learn AI for FREE: https://lnkd.in/dbmnseV3  

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How To Learn From YouTube Videos

Your competition isn’t working harder.

They’re just using Perplexity to work smarter.

Try these 20 Perplexity prompts prompts for automation assistance.

Use cases you can use it for:
✅ Automated Content Publishing Workflow
✅ Automated New Hire Onboarding Checklist
✅ HR Workflow Automation For Routine Tasks
✅ Automated Daily Task and Deadline Reminders
✅ Sales Pipeline Automation For Deal Acceleration
✅ Automated Customer Inquiry Response Templates
✅ Automated Weekly Project Status Update Template
✅ Smart Calendar Optimization and Meeting Scheduling
✅ Automated Report Summarization And Future Reporting Setup
✅ Workflow Bottleneck Analysis & Automation Recommendations

And more use cases with prompts covered in the infographic below

Do you use Perplexity AI?
Comment below 👇

Learn AI for free: https://lnkd.in/dt6QV3zr  

♻️ Share this to help your network use Perplexity for automation assistance

Your competition isn’t working harder.

They’re just using Perplexity to work smarter.

Try these 20 Perplexity prompts prompts for automation assistance

Use cases you can use it for:
✅ Automated Content Publishing Workflow
✅ Automated New Hire Onboarding Checklist
✅ HR Workflow Automation For Routine Tasks
✅ Automated Daily Task and Deadline Reminders
✅ Sales Pipeline Automation For Deal Acceleration
✅ Automated Customer Inquiry Response Templates
✅ Automated Weekly Project Status Update Template
✅ Smart Calendar Optimization and Meeting Scheduling
✅ Automated Report Summarization And Future Reporting Setup
✅ Workflow Bottleneck Analysis & Automation Recommendations

LinkedIn gives you opportunities.

Google Gemini gives you the path to get them.

The Career Guide Gem in it is your unfair advantage.

Here's how to use it.

1. Go to https://gemini.google.com/
2. On the left side bar, click ‘Explore Gems’
3. You’re on the ‘Gem Manager’ now
4. Click on ‘Career Guide’
5. Use a starter prompt or take inspiration from an existing starter prompt to create the prompt
6. Gemini gives you the output
7. Gemini might also give you follow-up questions
8. Answer those questions to get more in-depth career insights

Pros of using Career Guide Gem
- Creates tailored career plans.
- Saves time with structured guidance.
- Lets you customise tone and style.
- Offers premade career templates.
- Breaks goals into actionable steps.

Cons of using Career Guide Gem
- Output quality depends on prompts.
- Can feel generic or shallow.
- May contain errors or bias.
- Lacks human-level mentorship.

Do’s of using Career Guide Gem
✅ Customise its instructions for your needs.
✅ Be specific with role, skills, and goals.
✅ Add resumes or job docs for context.
✅ Reuse it for resumes, interviews, and prep.
✅ Use it for career shifts, like being an entrepreneur after leaving a job.

Don'ts of using Career Guide Gem
❎ Don’t keep prompts vague.
❎ Don’t skip testing your Gem.
❎ Don’t treat it like a fortune teller.
❎ Don’t reuse one prompt for all cases.
❎ Don’t rely on it alone for big decisions.

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

What do you think of the Career Guide Gem in Google Gemini?
Comment below 👇 

Learn AI for FREE: https://lnkd.in/dbmnseV3  

♻️ Share this to help your network level up their career

How To Use Google Gemini's Career Guide Gem

I didn’t think LinkedIn would ever put me in a situation where someone offers to send me beer…
but here we are.

Emma Heal from Lucky Saint | B Corp™ messaged me after seeing my name on a “people to follow” list and said something along the lines of,
“That deserves some beer.”

And honestly? She was right.
Fast-forward to today: a whole box of Lucky Saint shows up at my door like a personality test I accidentally passed.

And it wasn’t just a “here’s your beers, enjoy.”
No.
It came with the kind of kindness and detail you don’t expect from brands anymore, the map, the deck, the little touches that make you feel like an actual human, not an “order number.”

As someone who writes for a living, who obsesses over tiny details and emotional beats…
That stuff gets me.
Like, instantly.

It’s wild how small gestures can make you feel seen.
Warm, even.
Like you’re part of a community you didn’t know you were walking into.

So here I am, with a fridge full of Lucky Saint, grateful for Emma’s kindness,
and slightly amused that this is where my LinkedIn career has led me.

Will I be sharing these with friends? Yes.
Will I be insufferable about it? Also yes.

Cheers, Emma; this genuinely made my week. 🍺 ✨ 
(and no, this isn’t an ad. just a very kind human being, thoughtful, which is rare enough online that it deserves a shout-out.)

I didn’t think LinkedIn would ever put me in a situation where someone offers to send me beer…
but here we are.
Emma Heal from Lucky Saint messaged me after seeing my name on a “people to follow” list and said something along the lines of,
“That deserves some beer.”
And honestly? She was right.
Fast-forward to today: a whole box of Lucky Saint shows up at my door like a personality test I accidentally passed.
And it wasn’t just a “here’s your beers, enjoy.”
No.
It came with the kind of kindness and detail you don’t expect from brands anymore — the map, the deck, the little touches that make you feel like an actual human, not an “order number.”
As someone who writes for a living, who obsesses over tiny details and emotional beats…
that stuff gets me.
Like, instantly.
It’s wild how small gestures can make you feel seen.
Warm, even.
Like you’re part of a community you didn’t know you were walking into.
So here I am, with a fridge full of Lucky Saint, grateful for Emma’s kindness,
and slig

taplio

The Battle

Adam Biddlecombe

Maria Gharib

Followers

Posts

Engagements

Likes

Performance ScoreAdam Biddlecombe's LinkedIn Performance

Performance ScoreMaria Gharib's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Adam Biddlecombe

Maria Gharib

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 ScoreMaria Gharib's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreAdam Biddlecombe's LinkedIn Performance