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Don't stay outdated.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Don't stay outdated.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 AI randomly, and that’s why you’re not improving fast.

You need a structured path that removes the guesswork.

Here are the 28 levels you should go through to go from zero to the best in the world in AI.

Level 0: 
AI Awareness: Learn what AI is and what it is not, and understand basic terminology.

Level 1: 
Digital Literacy: Master computer fundamentals, file systems, basic coding concepts, and internet research skills.

Level 2: 
Programming Foundations: Learn Python, control structures, functions, data types, and basic scripting.

Level 3: 
Math for AI Foundations: Understand linear algebra basics, probability fundamentals, and essential calculus concepts.

Level 4: 
Data Handling Basics: Learn data cleaning, preprocessing, visualisation, and working with datasets using Python libraries.

Level 5: 
Machine Learning Fundamentals: Understand supervised, unsupervised, and simple model training workflows with scikit-learn.

Level 6: 
Practical ML Application: Learn model evaluation, cross validation, feature engineering, and real-world ML pipelines.

Level 7: 
Deep Learning Foundations: Understand neural networks, backpropagation, activation functions, and basic model architectures.

Level 8: 
Applied Deep Learning: Learn to build and train CNNs, RNNs, LSTMs, and transformers and run experiments with PyTorch or TensorFlow.

Level 9: 
Natural Language Processing: Understand tokenisation, embeddings, sequence models, and transformer-based NLP workflows.

Level 10: 
Large Language Models: Basics Learn how LLMs function, including attention mechanisms, pretraining, fine-tuning, and inference concepts.

To know about the next levels,
Check the infographic below 👇 

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

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

♻️ Repost to help your network learn AI

You’re learning AI randomly, and that’s why you’re not improving fast.

You need a structured path that removes the guesswork.

Here are the 28 levels you should go through to go from zero to the best in the world in AI.

Level 0: 
AI Awareness: Learn what AI is and what it is not, and understand basic terminology.

Level 1: 
Digital Literacy: Master computer fundamentals, file systems, basic coding concepts, and internet research skills.

Level 2: 
Programming Foundations: Learn Python, control structures, functions, data types, and basic scripting.

Level 3: 
Math for AI Foundations: Understand linear algebra basics, probability fundamentals, and essential calculus concepts.

Level 4: 
Data Handling Basics: Learn data cleaning, preprocessing, visualisation, and working with datasets using Python libraries.

Level 5: 
Machine Learning Fundamentals: Understand supervised, unsupervised, and simple model training workflows with scikit-learn.

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

Shawn Freeman

Impactful MSP

We believe MSPs are the backbone of modern business — and it’s time they were built that way.

The MSP founder isn’t just a service provider.
You’re a systems designer. A culture builder. A strategic leader.

You didn’t start this to stay buried in tickets.
You started this to create freedom — for yourself, your team, your clients, and your future.

We believe in financial strength, operational clarity, and leadership that multiplies.
We believe AI and automation aren’t threats to your business — they’re the leverage you’ve been waiting for.
We believe systems should scale trust, not just tasks.

And above all, we believe in building something that lasts, something that works without you, because of you.

Ready to build an MSP that creates Impact? DM me.

Founder

Entrepreneurs'​ Organization

As the Chapter President of Entrepreneurs' Organization Calgary, I lead our chapter with a focus on strategic planning and governance, ensuring we align with global EO standards while catering to local needs. My role involves presiding over chapter and board meetings, executing board decisions, and enhancing member engagement. I am dedicated to fostering a vibrant entrepreneurial community, organizing impactful events, and maintaining active communication to ensure our members find tremendous value and support in our network.

Chapter President

Entrepreneurs' Organization is a high-quality support network of 14,000+ like-minded leaders across 61 countries. The organization helps entrepreneurs like myself achieve their full potential through the power of life-enhancing connections, shared experiences and collaborative learning.

Member

I've been a member of EO since 2014, I'm joining the Calgary Board and looking forward to bring value to the members and find innovative ways to grow the chapter and create more amazing entrepreneurs.

Board Member

Always Beyond

I’m a Partner at Always Beyond, a modern MSP built on high-impact service and operational excellence.

I also coach ambitious MSP owners through Impactful MSP, helping them scale profitably, lead with clarity, and build lasting businesses.

Collaboration Over Competition!
Yes, I coach some MSPs across North American and even in my region—and I believe the best MSPs aren’t threatened by each other. They’re sharing insights, raising standards, and growing stronger together. That’s the kind of community I’m proud to help build.

Because the Industry Deserves Better!
Our clients deserve more than just “good enough.” They need forward-thinking MSPs who constantly improve, collaborate, and raise the bar. If we want to earn trust at the highest level, we have to build the kind of MSPs that deserve it.

If you aren't collaborating - you'll be left behind. Join my free community!

Partner

Trellis Society

I serve with great pleasure on the Trellis Foundation Board.
We grow and steward resources to advance Trellis Society’s generational impact.
Our vision is a community where everyone can flourish.

The A100

The A100 is a non-profit organization of "been there, done that" tech entrepreneurs, keen to help foster the next generation of Alberta's global tech successes. I became a member in 2021.

As a volunteer Board Member on the A100 Board I work to create impact in the Alberta Technology ecosystem.

Venture Mentoring Service of Alberta

The Venture Mentoring Service of Alberta strongly believes that entrepreneurs that are matched with experienced entrepreneurs are more likely to succeed. The program will provide entrepreneurs with a safe environment where mentors have no conflict of interest or financial interest. I'm grateful for the opportunity to mentor others through VMSA.

Mentor (Volunteer)

Fully Managed

I manage a team across Alberta and we support hundreds of clients who rely on their technology to help them become the best in their industry.

Fully Managed (FM) is a top global managed service provider, leading ServiceNow MSP, and market leader in technology solutions for senior care facilities.  FM’s service management platform provides organizations with a complete solution to deliver 24×7 service desk, IT service management, automation, security, and self-service to end-users.  

TWT Group merged with Fully Managed on February 3, 2020. 

The merger was a very positive move that will allow TWT to continue growing and to provide better service to you, our valued customers. The merger gives us true coast-to-coast coverage as well as deeper expertise in Enterprise-class IT Service Management (ITSM) platforms - thereby making traditionally enterprise-only solutions and IT Automation available to smaller organizations.  Now with a team of almost 300 employees, Fully Managed is well-placed to provide enhanced professional services, cloud and advanced security solutions to our customers and lead them down the path towards digital transformation.

Fully Managed brings even more Peace of Mind.

Vice President - Alberta

TWT Group Inc.

Having TWT as your Managed IT provider means you don’t have to know everything about your IT. You just know it works.

TWT. Want to know what the letters mean? Tuesday. Wednesday. Thursday. Not really, it’s Trust. Wisdom. Technology. Why on Earth would an IT company put technology last? Because we understand that people, relationships and sharing knowledge are all more important parts of our job than the technology itself.

When you hire TWT as your Managed IT provider, you can focus on your core strengths and your business. You can build the team you need knowing they have access to the wisdom and technology they need to help your business succeed.

Technology is a necessary part of every business. And it’s got to work so your team can work. But there’s no need to stress about it. Just leave it to us.

Founder & CEO

Secure Energy Services Inc.

Initially responsible for all information technology duties including but not limited to desktop support, network infrastructure implementation, planning and support. Applications implementation and support including Dynamics AX ERP, telephone and communication systems support as well as manage a rapidly growing team of 9 support professionals.

Role progressed in to a Business Analyst role and in to the applications group in order to complete many projects:

Dynamics AX
•	Experience in the upgrade between versions.
•	Maintained AX AOS and Database servers and ensure environment changes follow appropriate change management procedures.
•	Planned, implemented and tested full security for built in and modified modules for AX 2012 in an 800 employee company with a user base of over one quarter.
•	Ensured license requirements were met and designed security around licensing.
•	Developed multiple reports within AX for custom modifications. Saved dozens of hours for development by consolidating data provider classes and shared parameter forms.

Solver BI 
•	Gathered requirements and implemented various reports for AX 2012 using Solver 360.

Dynamics CRM
•	Planned and coordinated implementation from requirements gathering to user acceptance testing.
Windows 7 Upgrade 
•	Planned, tested and implemented the upgrade of 150 computers.
Citrix XenApp 6.5 
•	Planned, tested and implemented the upgrade from XenApp 4.5.
Exchange 2010
•	As project coordinator I created a schedule and test plan as well as ensured the project was on schedule and budget.

Crude Oil Marketing
•	Mapped the company’s business process to find areas for IT to add value and increase efficiency. Resulted in 3 hours savings per week for each production accountant.

Business Systems Analyst

Tervita Corporation

Started out as desktop support as a summer student which transitioned into a full time roll as a intermediate technician as well as focused on special projects such as:
•	Planned and implemented the upgrade to SharePoint Office Server 2007; a company-wide collaboration system
•	Planned and implemented corporate Active Directory communication information standards
•	Tested and implemented third party .NET SharePoint based tools to enable easy access and maintenance of this information by various staff
•	Planned and completed a cleanup and standardization of the information of 2000+ users in Active Directory
•	Completed SharePoint related projects including providing corporate training sessions and technical administrative tasks
•	Programmed several changes to SSL web pages to improve the web based help desk system
•	Completed help desk duties such as remote troubleshooting and computer builds

Technical Analyst

Technology Coach & Founder | Proven technology leadership to help you grow a profitable future proof business.

You’re not just running an MSP. You’re building something bigger. 

But right now, it feels like you’re stuck working in the business instead of leading it.

You’re juggling too many roles, managing clients, fixing daily issues, and trying to grow your monthly recurring revenue. The competition is fierce, and figuring out how to break through feels overwhelming.

I get it because I’ve been exactly where you are.

In 2011, I founded my own MSP. It started small, with all the typical struggles. Feeling trapped in the day-to-day grind, pricing uncertainty, struggling to delegate effectively, and the constant stress of finding quality clients. But through relentless refinement of systems, positioning, and leadership strategies, I scaled that MSP to seven figures. In 2020, I successfully exited with a high-value acquisition.

Now, as the founder of Impactful MSP, I help ambitious MSP owners like you achieve sustainable, long-term growth, without burning out or getting lost in the weeds.

👉 Here’s the truth:
Your technical skills aren’t the problem. The real challenge is building a business that runs profitably, consistently, and without you trapped in the day-to-day grind.

You don’t need random tactics or one-size-fits-all frameworks.

You need proven strategies, clarity, and the right mentorship to:
✅ Define a mission, vision, and core values that guide every decision you make.
✅ Scale your MRR fast with systems that work, no fluff.
✅ Stand out in a crowded MSP space with a unique differentiator.
✅ Attract and retain high-value clients who pay what you're worth.
✅ Simplify operations so you stop being the bottleneck.

You know you're capable of more, but you're unsure of the next step.

That's why you need me:
I've lived the MSP journey. I’ve felt the stress of unpredictable revenue, tough client churn, competing in a saturated market, and the struggle to lead while overwhelmed. But I also cracked the code to breaking through, and I’ve helped MSPs scale to seven figures and beyond using my coaching methods.

My clients have:
→ Increased MRR by 25%+ within months.
→ Closed larger, more profitable deals with ideal clients.
→ Built scalable systems that run without micromanagement.

This isn’t theory. It’s battle-tested strategy from someone who’s been in the trenches.

If you're serious about becoming the go-to MSP in your market and ready for predictable, scalable growth, send me a DM with the word 'IMPACT' and let’s talk about your next level.

No fluff. No hype. No BS. Just results.

This mindset shows up in every strong leader:
“I don’t know how, but I’ll find a way.”

It’s a belief that has fuelled countless success stories.

It helps you see challenges as opportunities,
and it keeps you moving forward when things get tough.

Here's why it's so powerful:

It’s rooted in resilience
↳ It helps you push through uncertainty.
↳ It lets you return stronger after setbacks.

It runs on creativity
↳ It helps you see solutions others miss.
↳ It turns obstacles into new possibilities.

It thrives on adaptability
↳ It helps you adjust quickly when things shift.
↳ It keeps you steady in uncertain moments.

It’s sustained by persistence
↳ It keeps you moving until the goal is met.
↳ It turns consistency into meaningful results.

With these traits, you’ll always find a way forward.
And when you do, you can turn it into a scalable system.

That’s how you build something that runs without you.
That’s when grit starts turning into growth.

Once you understand it you have to apply It.

Here's how:

Build repeatable systems
↳ If you solved it once, document it.
↳ Make it easier for the next person.

Create clear strategies
↳ Set goals that align your team.
↳ Make sure everyone knows what success means.

Use tools that support people
↳ Give your team tools that help them move smarter.
↳ Then trust them and get out of the way.

Remove bottlenecks (starting with you)
↳ If everything needs you, it won’t scale.
↳ Build something bigger than your inbox.

Here are 3 ways to start today:

Document one win
↳ Think of a time you had to find a way.
↳ Write the steps so someone else can repeat it.

Check in with your team
↳ Do they have clarity to act without you?
↳ Do they have the tools to move faster?

Simplify one process
↳ Make it easier, faster, or clearer for everyone.

The “I’ll find a way” mindset will take you far.
But turning that mindset into systems?

That’s how you scale.
That’s how you lead.
That’s how you win.

Ready to make your wins repeatable?
I help MSP owners build systems to grow.
If this resonated with you, DM me!

♻ Found this valuable? Share it with a fellow leader
🙌 Shoutout to Case Kenny for the quote!

MSP Coach | Helping Founders Build High-Performing Companies

I have an exciting announcement to make...

On Monday December 1st, I'm launching a podcast!
It is called Beyond Technology, and I can't wait to share.

The idea for this show came from conversations
I've been having with top founders and leaders.

Conversations about how they build, how they think,
and how they use technology to support their growth.

We talk about the decisions that drive growth,
the systems that build real momentum, and
the role technology plays in modern leadership.

The guests bring real experience from building
companies, and offer perspectives you don't hear often.

I've handpicked leaders who think deeply about growth,
and who speak clearly about what shaped their journey.

Each episode is short and focused, built for
listeners who want practical business insights.

A new episode will drop every second Monday,
with ideas and advice you can apply right away.

If you care about leadership and modern business,
the Beyond Technology Podcast is for you.

More details coming soon.
Stay tuned!

Want to double your revenue?

In just 6 months I scaled an MSP from $1M to $2M ARR.

Here’s what we did and how you can too:

1️⃣ We Built a Strong Operational Foundation
• They weren’t struggling to get clients.
• They were struggling to keep up with growth.

So we:
→ Built SOPs for onboarding, delivery, and retention.
→ Documented workflows to replace verbal handoffs.
→ Added weekly check-ins to catch issues early.

Growth feels chaotic without systems.
We eliminated that chaos, one process at a time.

2️⃣ We Gave Them Strategic Vision
• They didn’t have a revenue problem.
• They had a focus problem.

So we stopped the “grow for the sake of growth” cycle.

We got crystal clear on:
→ Quarterly revenue milestones with exact targets.
→ A defined ICP so they only pursued qualified leads.
→ A 3-channel growth strategy

When you focus on the right clients, growth speeds up.

3️⃣ We Created Financial Clarity
• They were making money.
• But they couldn’t see where it was going.

So we got hyper-clear on the numbers:
→ A 12% minimum profit margin target.
→ A real-time dashboard for MRR, churn, and profit.
→ Cut poor-fit clients to free up high-value capacity.

More revenue means nothing if you can’t measure profit.

Growth isn’t about hustling harder.
It’s about removing friction.

Stop chasing unqualified leads.
Stop running your business on guesswork.
Stop celebrating revenue without tracking profit.

This MSP didn’t need more effort.

They needed clarity, structure, and control.
And once they had it, growth became predictable.

What would doubling your revenue change for you?

More freedom?
More impact?
More control over your future?

If you’re ready to build a real growth engine...
DM me or book a free scale call.

Let’s build the business you actually want to run.

P.S. Enjoy this selfie of Frida and I!

Leadership doesn't mean carrying everything alone.

You can be the one others rely on and
still need people to lean on yourself.

That's not weakness.
That's wisdom.

There are parts of leadership no one sees.
→ The late nights
→ The quiet wins
→ The rejections
→ The doubt you never admit out loud

It gets heavy when you hold it solo.
The pressure builds when you pretend you're fine.
The pace slows when no one is beside you.

But things shift when you have the right people around.
People who challenge your thinking.
People who support your vision.
People who steady you when the pressure rises.

Leaders rise higher when they're supported.
They move faster when doubt is not driving.
They build better when they're not alone.

That's why community matters.
Not as a strategy, but as a multiplier.

If you're an MSP and want to grow with people
who get it, I have a community you'll want to join.

Send me a message, and I'll share the details.

You don’t need more leads. You need more leverage.

A client told me recently their pipeline was the issue.
They said “If we just had more leads, we’d be set.”

But that wasn't exactly the truth...
They already had everything they needed.
They just weren’t using it to its full potential.

Here’s how we added $42K in MRR w/o any new leads:

1. Pricing discipline
→ We audited their pricing against the value delivered.
→ Outdated rates were quietly draining margin.
→ Aligning price with value created instant revenue lift.

2. Tiered packaging
→ We simplified a bloated service menu.
→ Three clear tiers replaced dozens of scattered offers.
→ Sales convos became easier, faster, and predictable.

3. Targeted cross-sell
→ Clients had unmet needs sitting in plain sight.
→ We packaged solutions around business outcomes.
→ Clients bought more because it finally made sense.

No ads.
No cold outreach.
No new clients.

Just clarity, alignment, and execution.

The lesson: Growth starts with what’s in front of you.

Most MSPs don’t need to chase harder.
They need to tighten their offer, connect it to real
client outcomes, and unlock the value in their base.

That’s how hidden potential becomes recurring revenue.

If your existing clients aren’t buying more, DM me.
I’ll show you where the leverage is.

Your pricing should reflect your value.
Not your fear of losing the deal.

Underpricing is one of the fastest ways to stall growth.
Yet more MSPs do it than you think.

Charging $50 per user.
Winning clients on price.
Then wondering why growth never gets easier.

The truth?

Clients who choose you because you are cheap
are the same ones who churn, scope creep,
or drain every ounce of your time.

You don't build a strong MSP by underpricing your value.
You build it by knowing exactly what that value is.

→ Do you help clients run a stronger business?
→ Do you help them achieve their goals?
→ Do you make their teams more effective?
→ Do you improve their bottom line with tech?

If yes, stop racing to the bottom.

There are plenty of clients who will pay more
when you make it clear why you're worth more.

But it starts with your mindset.

From scarcity to abundance.
From guessing to clarity.
From surviving to scaling.

If you are unsure about your pricing or how to
communicate your value, book a call with me.

Let’s make sure you're not holding your business back.

Episode one of Beyond Technology is now live!

My guest for the first episode is Tyler Chisholm,
founder of clearmotive marketing group
and author of Curious as Hell.

Tyler has a way of breaking problems down
and asking the questions most leaders miss.

We talk about how curiosity shapes better leadership,
leads to clearer decisions with technology, and
creates space for deeper thinking in business.

Tyler also shares how to build safer cultures, make
stronger decisions, and approach tools with intention.

It’s a practical and honest conversation
about what modern leadership requires today.

Thank you Tyler for joining as the first guest.

And thank you Entrepreneurs'​ Organization Calgary
and 2C Media Inc. Media for helping bring this to life.

You can watch the episode on our YouTube channel
or listen on your preferred podcast platform.

Links to both are in the comments.

If you are or know a strong Calgary leader who should
be a guest on the podcast next season, send me a DM.

New episodes will drop every second Monday.
Excited to keep sharing these conversations with you.

I hope you enjoy S1 EP1: 'Tyler Chisholm: How Curiosity
Leads to Better Leadership and Technology Decisions'

Behind-the-scenes at our first recording session.

Some great conversations are coming your way.
Check back Monday for the first of many.

#BeyondTechnologyPodcast

When’s the last time someone pushed you
or challenged your thinking as a leader?

When’s the last time you had real support
instead of people just nodding along?

Your results aren’t just about effort.
They’re shaped by the environment you're in.

You can grind for years with intensity,
but without perspective the progress feels circular.

Your ideas hit the same walls,
and your thinking loops back on itself.

At some point effort isn’t the answer.
Better perspective is.

Most MSP owners try to solve everything alone.
I remember doing the same early on,
and it slowed my growth more than anything.

That’s why I built Impactful MSP.
To give owners what I needed back then.

It’s about raising the standard in the industry
and helping MSPs build with intention and impact.

It’s easier to lead when you’re not doing it in isolation.
It’s easier to grow when you have people who get it
and systems that are tried and true.

If you’re looking for coaching and community,
send me a DM and let’s chat!

Every business owner eventually notices the same thing. Technology is no longer a side piece of the business. It’s woven into every decision, every sy

Open article: Introducing the Beyond Technology Podcast by Shawn Freeman • 4 min read

Introducing the Beyond Technology Podcast

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