💡 Technology should serve people — not replace their value.
I help B-Corp and social enterprise CEOs navigate AI adoption with clarity, courage, and care — protecting what makes their organisation human while unlocking innovation.

🚫 You’ve seen what rushed, misaligned tech can do: fractured teams, eroded trust, and mission drift.
💪 You’re committed to leading with integrity, but you’re under pressure to do more with less — while keeping your culture intact.

That’s where I come in.
With 25+ years in IT transformation and professional coaching credentials, I bridge the gap between technical AI expertise and human-centered change leadership.
Unlike tech consultants who overlook the human cost — or coaches who avoid the tech — I guide adoption so your organisation comes out better than before: more connected, more resilient, and more aligned to its mission.

🛠 The Better With Humans™ Method
1️⃣ Clarity Before Code – Align AI with your values and impact goals before choosing tools.
2️⃣ Lead from the Inside Out – Guide change with courage, empathy, and moral clarity.
3️⃣ Human-in-the-Loop Teams – Engage people early, co-create solutions, and build trust.
4️⃣ Sustainable Systems for Impact – Build long-term capability, measure what matters, and evolve without burnout.

📌 What You’ll Walk Away With
✅ A clear, values-aligned AI roadmap
✅ A confident, engaged team that feels safe in the journey
✅ Protection for your culture and mission
✅ Momentum for innovation — without losing your people in the process

🤝 If you want AI to strengthen your people, trust, and values — not undermine them — let’s talk.
📅 Book a values-aligned AI exploration call | 🧭 Take the AI Readiness Assessment

Shaun Phillips

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 

I spend hours every day learning what's new in AI. 
And in the last 2 years, I've learnt from over 1000 AI resources. 

News, blogs, guides, papers, YouTube, and a lot more. 

I wanted to create a single resource that summarises everything important in AI.
So I've created this all-in-one cheat sheet that you can't miss. 

RTCROS Prompt Framework:
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.
You can use this framework to create prompts for any AI model/LLM.

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 and unique and excludes [things to avoid].
Prioritise clarity and practical value when presenting results.
Internally validate and cross-check information before finalising.
Return the results in this format: [desired output format].
The task is complete when [stop condition].

Do’s of using AI tools:
✅ Define clear goals and use cases before applying AI tools.
✅ Be specific and provide context in your prompts for better results.
✅ Always verify AI-generated outputs for factual accuracy.
✅ Protect sensitive and confidential data when using AI tools.
✅ Continuously educate yourself and your team on AI capabilities and best practices

Don’ts of using AI tools:
❎ Don’t share sensitive or private information with AI tools.
❎ Don’t rely solely on AI outputs without human review or fact-checking.
❎ Don’t use ambiguous, conflicting, or overly complex prompts.
❎ Don’t assume AI-generated content is free from bias or errors.
❎ Don’t misuse AI-generated content.

To know more about what matters in AI,
Check the infographic below 👇 

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

Do you invest time in learning AI every day?
Comment below 👇

I spend hours every day learning what's new in AI. 
And in the last 2 years, I've learnt from over 1000 AI resources. 

News, blogs, guides, papers, YouTube, and a lot more. 

I wanted to create a single resource that summarises everything important in AI.
So I've created this all-in-one cheat sheet that you can't miss. 

RTCROS Prompt Framework:
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.
You can use this framework to create prompts for any AI model/LLM.

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

I watched average professionals become “irreplaceable” in one year.

They mastered new AI skills that helped them be ahead of everyone else.

Here are 20 AI skills you can work on in 2026.

1. Prompt Engineering:
Learn how to use and prompt better on various AI models, LLMs, AI image generation, and AI video generation tools.

2. AI Visual Creation:
Learn how to use AI image generation tools to create visuals that go viral on social media channels, blogs, email newsletters, and online and offline ads.

3. AI Video Creation:
Learn how to use AI video generation tools to create viral videos for social media marketing and digital ads.

4. AI Coding:
Learn how to use AI-first development assistant tools like Claude Code to get more coding work done in less time.

5. AI Website Development:
Learn how to build and edit beautiful websites with the best AI website builder tools out there.

6. AI App Development:
Learn how to build, edit, and ship cool MVPs for early-stage founders with AI app generation tools and charge them a fee based on the complexity of the MVP built.

7. AI Support Assistance:
Learn how you can help businesses set up AI text, voice, and video assistants that act as front-end support assistants to help with lead generation and basic support use cases.

8. AI Automation Development:
Learn how to use AI automation development tools to build automation workflows that automate complex manual tasks that occur across various apps so they run on autopilot.

9. AI Agent Development:
Learn how to use AI agent builder platforms to build customised AI agents for businesses to help them automate some high-risk manual work.

To know about more AI skills you can work on,
Check the infographic below 👇

10. AI Recruitment Assistance:
Learn how to use AI tools to recruit better candidates in less time.

Why should you master new AI skills?
AI skills increase employability as job roles rapidly evolve with automation.
Professionals with AI skills tend to earn higher salaries across industries.
AI knowledge is useful beyond tech, including healthcare, finance, and marketing.
AI enables automation of repetitive tasks, boosting individual productivity.
Mastering AI helps future-proof careers against technological disruption.

Do's:
✅ Build a structured learning plan with clear goals.
✅ Master foundational maths and programming first.
✅ Practise hands-on projects, not just theory.
✅ Use reputable courses and resources to learn the basics.
✅ Join communities and ask questions freely.

Don'ts:
❎ Don’t skip basics and jump into advanced tools.
❎ Don’t rely only on AI to do the thinking for you.
❎ Don’t ignore ethics, bias, and privacy issues.
❎ Don’t cram without applying what you learn.
❎ Don’t avoid asking questions when stuck.

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

What other AI skills do you think one should work on?
Comment below 👇

Most people ignore AI trends and double down on old skills.

Meanwhile, their competitors work on their AI skills and win in the new job market.

Here are 26 AI trends you can't miss out on to dominate 2026.

1. Agentic AI systems
AI that can autonomously plan, reason, and execute multi-step tasks without constant human direction will become foundational in enterprise workflows.

2. Multi-agent collaboration frameworks
Systems of AI agents that coordinate and communicate with one another will drive complex business process automation.

3. AI production scaling in enterprises
AI will move from experimental pilots into standardised production-level deployment across industries.

4. On-device generative AI
Generative intelligence will increasingly run directly on user devices, improving speed and privacy without needing cloud connectivity.

5. Autonomous workflow orchestration
AI will organise and execute end-to-end enterprise functions, from planning through conclusion.

6. Advanced multimodal AI
Models that understand and generate across text, image, audio, and video will become standard in applications.

7. Responsible and explainable AI
Governance, accountability, and transparency in AI decisions will attract greater emphasis for trust and compliance.

8. AI-driven cybersecurity and threat detection
AI will enhance threat identification and response speed while also posing novel attack-generation challenges.

9. Physical AI and robotics integration
AI will increasingly control physical systems such as autonomous robots, drones, and automated machinery.

10. Better AI video
AI video quality will improve to the level at which even basic AI tools will use fewer tokens to create ultra-realistic videos in seconds.

To know about more AI trends,
Check the infographic below 👇 

Pros:
👍 Boosts productivity by automating routine work and accelerating output.
👍 Unlocks better decision-making through data analysis at scale.
👍 Increases competitiveness in the job market and business landscape.
👍 Enables innovation by supporting new products, services, and processes.
👍 Enhances personalised solutions in applications like marketing and customer service.

Do's:
✅ Learn core fundamentals before chasing every new tool.
✅ Focus on solving a clear real problem with AI.
✅ Experiment with hands-on projects to build skills.
✅ Keep up to date with trusted AI trend sources.
✅ Evaluate AI tools for fit and reliability before adoption.

Don'ts:
❎ Don't adopt AI just because it is trending.
❎ Don't ignore ethical and bias issues in AI use.
❎ Don't neglect security and data privacy practices.
❎ Don't try to track every minor AI update at once.
❎ Don't fall for exaggerated AI claims without evidence.

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

What other AI trends do you think will dominate in 2026?
Comment below 👇

Most people ignore AI trends and double down on old skills.

Meanwhile, their competitors work on their AI skills and win in the new job market.

Here are 26 AI trends you can't miss out on to dominate 2026.

1.Agentic AI systems
AI that can autonomously plan, reason, and execute multi-step tasks without constant human direction will become foundational in enterprise workflows.

2. Multi-agent collaboration frameworks
Systems of AI agents that coordinate and communicate with one another will drive complex business process automation.

3. AI production scaling in enterprises
AI will move from experimental pilots into standardised production-level deployment across industries.

4. On-device generative AI
Generative intelligence will increasingly run directly on user devices, improving speed and privacy without needing cloud connectivity.

5. Autonomous workflow orchestration
AI will organise and execute end-to-end enterprise functions, from planning through conclusion.

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 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.

I've been consistently creating content on LinkedIn for the past 3 years. 

And I've experimented with various content topics, formats, types, and pillars. 

Based on my years of experience, 
Here's the complete all-in-one AI-assisted LinkedIn Growth Cheat Sheet.
To help you grow on LinkedIn. 

Profile analysis:
1. Use Perplexity Comet or Claude chrome extension to get feedback on your LinkedIn profile on the side
2. Take a screenshot of your LinkedIn profile and prompt ChatGPT or other AI models/LLMs to provide you feedback.
3. Prompt to use: Analyze this screenshot of my LinkedIn profile. Break down strengths, weaknesses, and areas to improve in my bio, about, profile picture, banner, experience section, skills, and overall positioning. Tell me what impression my profile creates, who it seems targeted to, and how clear my value proposition is. Give me actionable recommendations, suggested copy improvements, keywords to add, and credibility elements I should include. Finally, rate my profile out of 10 for clarity, positioning, branding, and conversion potential.

Content analysis:
1. Export your LinkedIn content analytics
2. Share that with any AI model/LLM and prompt it to analyse what worked well for you, what didn’t work well for you, and what your strategy should be to get more impressions
3. Keep doing this once in every 2 weeks

To know more about how you can grow on LinkedIn with AI,
Check the infographic below 👇 

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

What do you think about using AI for LinkedIn growth assistance?
Comment below 👇 

♻️ Repost to help your network use grow efficiently on LinkedIn with AI

I've been consistently creating content on LinkedIn for the past 3 years. 

And I've experimented with various content topics, formats, types, and pillars. 

Based on my years of experience, 
Here's the complete all-in-one AI-assisted LinkedIn Growth Cheat Sheet.
To help you grow on LinkedIn. 

Profile analysis:
Use Perplexity Comet or Claude chrome extension to get feedback on your LinkedIn profile on the side
Take a screenshot of your LinkedIn profile and prompt ChatGPT or other AI models/LLMs to provide you feedback.
Prompt to use: Analyze this screenshot of my LinkedIn profile. Break down strengths, weaknesses, and areas to improve in my bio, about, profile picture, banner, experience section, skills, and overall positioning. Tell me what impression my profile creates, who it seems targeted to, and how clear my value proposition is. Give me actionable recommendations, suggested copy improvements, keywords to add, and credibility elements I should include. Finally, rate my profile 

Most people spend hours learning AI.

But they don't know how to use it to make money. 
 
My team has mastered it, and now we are giving you EVERYTHING we know for FREE. 

In this guide, we cover:
- 200+ strategies tailored for creators, entrepreneurs, and forward-thinking professionals
- Profitable ideas in industries such as content creation, e-commerce, gaming, and more
- Insights into cutting-edge AI applications for sustainable growth
- Easy to start strategies
- Future-proofing your skills
 And a lot more 

To get it for FREE, 
1. Like 
2. Comment 'AI' 
and I'll send it to you ASAP

♻️ Repost to get it first

Most people spend hours learning AI.

But they don't know how to use it to make money. 
 
My team has mastered it, and now we are giving you EVERYTHING we know for FREE. 

In this guide, we cover:
- 200+ strategies tailored for creators, entrepreneurs, and forward-thinking professionals
- Profitable ideas in industries such as content creation, e-commerce, gaming, and more
- Insights into cutting-edge AI applications for sustainable growth
- Easy to start strategies
- Future-proofing your skills
 And a lot more 

To get it for FREE, 
1. Like 
2. Comment 'AI' 
and I'll send it to you ASAP

♻️ Repost to get it first

In the past 36 months, I've spent over 10,000 hours testing the new AI models.

I've realised that none of them are perfect.
One might be good for coding. 
The other might be suitable for deep research.

And based on my tests and experiments,
Here's a complete rating-wise comparison of the 8 best AI models/LLMs right now. 

1. Gemini 3 
Overall score: 98/100
Feature ratings: 
- Text generation: 4/5
- Code generation: 4/5
- Data analysis: 4/5 
- Data visualisation: 4/5 
- Research: 4/5 
- Video generation: 4/5 
- Input file processing: 4/5 
- Image generation: 4.5/5 
- Presentation creation: 4/5 
- Document creation: 4/5 
- Website creation: 4/5 
- App creation: 4/5 
- Learning assistance: 4/5

2. ChatGPT 5.2 
Overall score: 95/100
- Feature ratings: 
- Text generation: 5/5
- Code generation: 4/5
- Data analysis: 4/5
- Data visualisation: 4/5
- Research: 5/5
- Video generation: 4/5
- Input file processing: 3.5/5
- Image generation: 4/5
- Presentation creation: 3/5
- Document creation: 4/5
- Website creation: 3.5/5
- App creation: 3/5
- Learning assistance: 4/5 


3. Claude Opus 4.5 
Overall rating: 90/100
Feature ratings: 
- Text generation: 4/5
- Code generation: 4.5/5
- Data analysis: 4/5
- Data visualisation: 4/5
- Research: 3.5/5
- Video generation: 0/5
- Input file processing: 4/5
- Image generation: 0/5
- Presentation creation: 3/5
- Document creation: 4/5
- Website creation: 4/5
- App creation: 4/5
- Learning assistance: 3.5/5

To check the feature ratings and scores of other AI models/LLMs,
Check the infographic below 👇 

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

Which AI model/LLM is your favorite?
Comment below 👇 

♻️ Repost to help your network use the best AI models

In the past 36 months, I've spent over 10,000 hours testing the new AI models.

I've realised that none of them are perfect.
One might be good for coding. 
The other might be suitable for deep research.

And based on my tests and experiments,
Here's a complete rating-wise comparison of the 8 best AI models/LLMs right now. 

1. Gemini 3 
Overall score: 98/100
Feature ratings: 
Text generation: 4/5
Code generation: 4/5
Data analysis: 4/5 
Data visualisation: 4/5 
Research: 4/5 
Video generation: 4/5 
Input file processing: 4/5 
Image generation: 4.5/5 
Presentation creation: 4/5 
Document creation: 4/5 
Website creation: 4/5 
App creation: 4/5 
Learning assistance: 4/5

2. ChatGPT 5.2 
Overall score: 95/100
Feature ratings: 
Text generation: 5/5
Code generation: 4/5
Data analysis: 4/5
Data visualisation: 4/5
Research: 5/5
Video generation: 4/5
Input file processing: 3.5/5
Image generation: 4/5
Presentation creation: 3/5
Document creation: 4/5
Website creation: 3.5/5
App creation: 3/5

90% of people give up on learning AI.

Not because it’s hard.
But because it’s chaotic.

Here's the complete AI mastery roadmap.

Stage 1: Foundations
(0 → Beginner)
- Math & Logic: Linear algebra, probability, calculus, statistics.
- Programming: Python (NumPy, Pandas, Matplotlib).
- Computer Science Basics: Algorithms, data structures, and complexity.
Goal: Be able to read AI tutorials and implement small scripts.

Stage 2: Core AI Literacy 
(Beginner → Intermediate)
Machine Learning Fundamentals:
- Supervised vs unsupervised learning
- Regression, classification, clustering
- Decision trees, random forests, SVMs
Neural Networks Basics: Feedforward, backpropagation, and optimisation.
Frameworks: PyTorch or TensorFlow.
Goal: Build ML models from scratch and with libraries.

Stage 3: Deep Learning 
(Intermediate → Advanced) 
Architectures
- CNNs (vision), RNNs/LSTMs (sequences), Transformers (NLP).
Training Skills
- Hyperparameter tuning, optimizers, regularization, transfer learning.
 Projects
- Image classifier, text sentiment model, chatbot.
 Goal: Comfortably train and deploy deep learning models.
 
 Stage 4: Advanced AI Specializations 
NLP
- Transformers, embeddings, LLM fine-tuning.
Computer Vision
- Detection, segmentation, generative models.
Reinforcement Learning
- Q-learning, policy gradients.
Generative AI
- GANs, diffusion models, multimodal AI.
Goal: Have 1–2 strong focus areas with portfolio projects.

Want more steps to master AI? 
Check the infographic below 👇 

Do you invest time in learning AI every day?
Comment below 👇 

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

♻️ Share this to help your network learn AI

90% of people give up on learning AI.

Not because it’s hard.
But because it’s chaotic.

Here's the complete AI mastery roadmap.

Stage 1: Foundations
(0 → Beginner)
- Math & Logic: Linear algebra, probability, calculus, statistics.
- Programming: Python (NumPy, Pandas, Matplotlib).
- Computer Science Basics: Algorithms, data structures, and complexity.
Goal: Be able to read AI tutorials and implement small scripts.

Stage 2: Core AI Literacy 
(Beginner → Intermediate)
Machine Learning Fundamentals:
- Supervised vs unsupervised learning
- Regression, classification, clustering
- Decision trees, random forests, SVMs
Neural Networks Basics: Feedforward, backpropagation, and optimisation.
Frameworks: PyTorch or TensorFlow.
Goal: Build ML models from scratch and with libraries.

Stage 3: Deep Learning 
(Intermediate → Advanced) 
Architectures
- CNNs (vision), RNNs/LSTMs (sequences), Transformers (NLP).
Training Skills
- Hyperparameter tuning, optimizers, regularization, transfer learning.

I watched people spend hours on manual analysis.

While I did the same work in minutes with AI.

Here’s how you can get data analysis done for free with Gemini 3 Pro. 

1. Go to gemini.google.com
2. You’re now on Google Gemini
3. Select the ‘thinking’ model because we want accurate outputs
4. Add your prompt
5. Add your dataset
6. You get the complete analysis done in minutes
7. Follow-up if you have more questions
8. You'll get the answers ASAP

How to use the outputs?
- Share the chat with your team
- Export to Google Docs
- Draft an email based on it

Do's 
- Provide clear, structured prompts with specific tasks when asking for data insights.
- Use it to generate or refine analytical codes, such as SQL or Python scripts.
- Upload entire datasets or long documents up to its large context window for broad analysis.
- Use its multimodal capabilities to interpret text, tables, and visuals in one query.
- Validate key results manually or with ground truth if using its output in decisions.

Don'ts
- Do not treat its results as fully authoritative without verification due to factual accuracy limits.
- Do not rely solely on it for critical decisions without human review.
Avoid vague or ambiguous prompts that lead to unclear analysis.
- Do not exceed usage limits on free or basic plans without planning for rate limits.
- Do not ignore context window constraints when feeding very large datasets.

To learn more about it,
Check the carousel below 👇 

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

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

♻️ Repost to help your network use AI for efficient analysis

How To Use Gemini 3 Pro For Data Analysis

I replaced my startup playbook with this.

No decks.
No docs.
No debates about “idea market fit”.

Just shipping.

Most founders still start like this:
Write a long Notion doc.
Design a pitch deck.
Ask friends if the idea sounds good.
Call it validation.

I do the opposite.
I build first.

Here is my new early-stage playbook.

I open Replit.
I type a startup idea in plain English.
I let an AI agent turn it into a real app.

This time, I built a Startup Idea Validator.

What it does:
You enter a raw business idea.
And it helps you validate the idea backed by research.

Here’s the complete workflow:
1. Go to Replit and Sign up
2. Select what you want to build
3. Add your prompt
4. Select the app theme
5. Refine the prompt with AI 
6. Submit the prompt
7. AI builds the app
8. Preview and test how it works
9. Add follow-up prompts for the changes you want to make
10. Invite your team if required and they can make changes with follow-up prompts
11. Publish when the app is ready

This is the shift most founders have not made yet.

Early-stage entrepreneurship is no longer pitch-first. 
It is build first.

This is how startups will be validated going forward. 

To get a complete breakdown of how I built it with Replit,
Check the carousel below 👇 

Try it here: https://lnkd.in/exa4dnQd

What do you think about this new era of shipping apps fast with AI?
Comment below 👇 

♻️ Repost to inspire someone in your network to ship their first app today

Stop Pitching Start Building

A friend asked me yesterday how I finished 3 hours of work in just 30 minutes.

The truth is I used ChatGPT and all its best features to save hours of manual work.

I've covered all the 17 best features here for you.

1. Personalization: This feature helps you personalise how you want outputs from ChatGPT.

2. Speech Customisation: This setting helps you change the type of voice you want in ChatGPT.

3. Builder Profile Creation: This setting helps you get website visitors from your GPT.

4. Image Generation: This feature helps you create images from text prompts and reference images.

5. Web Search: It helps you search for anything on the internet with AI.

6. Canvas: It helps you work together with ChatGPT on writing and coding tasks.

7. Deep Research: It helps you create in-depth reports on any topic.

8. Search chats: You can search any chat with a keyword.

9. Library: You can check all the images you’ve generated with ChatGPT here.

10. Video Generation: You can generate videos from text prompts.

To know more features,
Check the infographic below 👇

You don't need to use all features at once.
You just need to be aware of these features and use the right ones at the right time.

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

Which feature in ChatGPT is your favourite?
Comment below 👇

♻️ Repost to help your network work with the best features in ChatGPT

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.

1. Strategic Business Decision Evaluation

Prompt: 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.

2. Personal Life Choice Analysis

Prompt: 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.

3. Career Path Decision Aid

Prompt: 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].

4. Investment Opportunity Comparison

Prompt: 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.

5. Time Management Decision Support

Prompt: 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

I've spent over 300 hours testing ChatGPT 5.2.

Based on all my experiments, 
I've created this ultimate ChatGPT 5.2 cheat sheet. 

The goal here is to not only help you use ChatGPT 5.2 to its full potential.
But also to 10x your productivity with it.

Prompt template you can use:
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]. 

Models you get:
1. ChatGPT 5.2 Auto mode: intelligent GPT-5.2 mode that automatically chooses between Instant and Thinking depending on task complexity.
2. ChatGPT 5.2 Instant: fastest, lowest-latency GPT-5.2 chat model for quick replies with strong general performance.
3. ChatGPT 5.2 Thinking: the GPT-5.2 deep reasoning mode designed for professional, multi-step, high-accuracy outputs.
And you can also access the legacy ChatGPT models.

Personalising your outputs in ChatGPT:
You’ll find this setting when you click on your profile picture.
1. Add custom instructions about what you want your outputs to be.
2. Add a nickname by which ChatGPT can call you.
3. Add your occupation so ChatGPT understands more about what output style you might like.
4. Add your interests, values and preferences so ChatGPT should know to give you better outputs.
5. Enable if you want ChatGPT to use old memories, chat history, and your recording transcripts to give you better output.
6. Check all the different modes that work in auto mode and select what you want enabled by default.

Open AI GPT Image-1.5:
- It is the company’s latest flagship image generation model that creates and edits high-fidelity images with stronger prompt adherence, faster performance and more precise control over composition, lighting and details than prior versions, and is available inside ChatGPT 5.2 and via the API.

Apps in ChatGPT: 
- That's a new feature that lets you call up and use third-party services (like Spotify, Canva or Zillow) directly inside your chat; you just mention it, the app appears, you tag and write your prompt, and you get things done without leaving the conversation.

To know more about how to use ChatGPT to its full potential,
Check the infographic below 👇 

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

What do you think about the new features in ChatGPT?
Comment below 👇

I've spent over 300 hours testing ChatGPT 5.2.

Based on all my experiments, 
I've created this ultimate cheat sheet. 

The goal here is to not only help you use ChatGPT 5.2 to its full potential.
But also to 10x your productivity with it.

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]. 

Models you get:
ChatGPT 5.2 Auto mode: intelligent GPT-5.2 mode that automatically chooses between Instant and Thinking depending on task complexity.
ChatGPT 5.2 Instant: fastest, lowest-latency GPT-5.2 chat model for quick replies with strong general performance.
ChatGPT 5.2 Thinking: the GPT-5.2 deep reasoning mode designed

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.

Zapier alone is excellent.
Zapier + your own web agent is unfair.

This is the quiet upgrade nobody is talking about.

Zapier has always been incredible at moving data between APIs.
But most real work does not live in APIs.

It lives on websites.
- Dashboards.
- Portals.
- Legacy tools.
Tabs humans still click every day.

That is where Airtop changes the game.

When you plug Airtop agents into Zapier, 
You turn Zapier from an automation tool into an AI web operator.

Not just triggering actions.
Actually doing the work.

What Airtop agents unlock inside Zapier
 - Navigate websites like a human
 - Log into portals securely
 - Click, scroll, search, and filter data
 - Extract structured data from messy UIs
 - Perform multi step workflows

This is not another integration.
This is Zapier + Airtop’s superpowers.

Why does this matter for founders and operators?
- APIs are limited by what tools expose.
- Web agents are limited by nothing but logic.

By embedding your own Airtop agent inside a Zap, you create automations that:
- Match your exact business process
- Replace manual ops work completely
- Work on any site even internal tools
- Become a defensible internal advantage

No competitor can copy this with off the shelf zaps.

How to integrate Airtop agents into Zapier:
1. Build your AI agent on Airtop from a simple text prompt or any ready-to-use template
2. Prompt Zapier Copilot about what you want to automate when the Airtop Agent completes a task
3. Copilot builds the Zap
4. Preview and test it
5. Publish the Zap

Now you can use it in the long term.

One Zap.
One agent.
Unlimited leverage.

This is how automation stops being generic.
And starts working exactly the way your business does.

If you are still automating only what APIs allow,
You are leaving the highest leverage workflows untouched.

Try here: https://lnkd.in/eEU3Q8Ej

♻️ Repost to help your network automate manual work better with AI 

#airtoppartner

Break Zapier Limits With Airtop Agents

Most people don't fail because they're bad at execution.

They fail because execution is just too outdated.

I’ve been there:
- Great idea.
- Clear vision.
- Zero bandwidth.

So I’d delay building. 
Delay launching. 
Delay momentum.

Until now.

Today, I built my entire personal website with Wix Harmony. 
Combining vibe coding with manual editing. 

I didn’t have to code at all. 

Here’s how I did it: 
1. Added my prompt
2. Got the website built in minutes
3. Made my own adjustments to make it look just right
3. Consulted with Aria, the AI agent, for additional changes
5. Published it

This is Agentic AI that actually helps you build exactly the way you want to. 

This isn’t another “AI website builder”.
Its vibe coding meets drag and drop freedom

Building shouldn’t be reserved for people with funding, a huge team, manual coding work, or a 6-week sprint.

With Wix Harmony, 
You can ship the idea that’s been stuck in your notes app.

And that’s what changes everything.

If you want to know the complete process to create my website with AI,
Check the video tutorial.

What do you think of an AI agent building your entire website with you?
Comment below 👇 

Try it yourself: wix.com/harmony

♻️ Repost to help your network build any website in minutes with AI 

#wixpartner #Wixharmony

AI coding is impressive but launching is still painful.

You’ve seen the buzz about AI-first dev tools.

People want to build with AI.
But most tools assume you already use development terminal, GitHub, and IDEs.

Here’s the plot twist:

Most curious builders today aren’t developers.

They’re founders, creators, side-hustlers.
And for them, AI coding is exciting, until the setup breaks everything.

Launching with most AI-first dev tools:

1. Install something
2. Set up environments
3. Connect GitHub
4. Learn the repo structure
5. Prompt AI
6. Get errors
7. Debug by Googling or random follow-up prompts
8. Run it locally
9. Add hosting
10. Pray it works

Momentum = gone.

Launching with Replit:

1. Open your browser
2. Prompt what you want to build
3. AI agent builds it
4. Make edits by follow-up prompts
5. Publish it
6. Share it

No technical work headache. 
No configs. 
Just shipping.

Even with AI, shipping is still the hardest part.
Replit makes it the easiest.

✅ Everything runs in the browser
✅ Turns ideas into apps using plain English
✅ Live preview as you go
✅ Built-in hosting, databases, secrets
✅ Safe cloud environment, nothing to break

If you are a developer:
AI-first dev tools like Claude Code, Cursor, Windsurf + Replit = velocity.

If you're not:
Replit = actual superpowers.

This shift isn’t just about writing code.
 It’s about getting your idea live.

Replit is where that happens.

Start building with AI here: https://lnkd.in/exa4dnQd

To know more about how Replit helps more,
Check the infographic below 👇 

What do you think about turning your problems into apps with Replit?
Comment below 👇 

♻️ Repost to help your network build any app with AI 

#replitpartner

taplio

The Battle

Shaun Phillips

Adam Biddlecombe

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taplio

The Battle

Shaun Phillips

Adam Biddlecombe

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

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