Hey Buddy,
Most people say they are using AI.
What they actually mean is:
They open a chat.
They type a request.
They copy the answer.
They paste it somewhere else.
They feel productive.
This feels modern.
It feels smart.
It feels like the future.
But it is still manual work.
AI is doing thinking.
You are doing everything else.
That is the trap.
The biggest lie in the AI space right now is this:
“If you learn better prompts, you will get better results.”
Prompts help.
But prompts do not create leverage.
Systems do.
And that is what most people are missing.filtered truth..
Read till the end.
Today’s Lineup:
Why People Feel Disappointed With AI
Why chatting with AI is the weakest form of usage
What “levels” actually mean in simple terms
Levels 0 to 2: Where almost everyone gets stuck
Levels 3 to 4: Where AI starts feeling useful
Levels 5 to 6: Where AI starts doing work
Levels 7 to 10: Where AI becomes an unfair advantage
The biggest mistake people make
How to move up without becoming technical
Why People Feel Disappointed With AI
Let’s name the frustration honestly.
People say:
“AI hallucinates”
“AI gives generic output”
“AI is not reliable”
“AI still needs too much editing”
All of that can be true.
But here is the uncomfortable part:
Most of those problems are usage problems, not model problems.
You are asking AI to perform high-level work
while giving it low-level context.
That never works.
With humans or machines.
What This Playbook Actually Explains
This playbook is not about Claude vs ChatGPT.
It is about levels of usage.
Each level changes what AI can do for you.
At low levels:
AI answers questions.
At higher levels:
AI remembers context.
AI follows rules.
AI touches files.
AI runs tasks.
AI works while you are away.
Same AI.
Different outcomes.
Gif by SKALELabs on Giphy
The Core Mental Shift You Need
Stop asking:
“What can AI do?”
Start asking:
“What level am I using it at?”
Because each level unlocks a different kind of value.
Think of it like this:
Chatting with AI is like talking to a smart intern.
Higher levels turn AI into a trained employee.
Top levels turn AI into an automated system.
Most people never move past intern mode.
Level 0 to 2
The Comfort Zone
This is where curiosity lives.
And where progress quietly dies.
Level 0: Comparing Tools
This is the phase where people:
Debate which model writes better
Test long prompts
Compare answers side by side
Watch AI videos late at night
This phase feels productive.
It is not.
It is intellectual entertainment.
No output.
No compounding.
Level 1: Browser Chat
Now people start “using” AI.
They:
Ask it to write posts
Ask it to summarize PDFs
Ask it to generate ideas
Edit everything manually
This saves time.
But only small chunks of time.
You still:
Upload files manually
Re-explain context every session
Fix tone every time
Start from scratch again tomorrow
AI helps.
You still carry the weight.
Level 2: Desktop AI
This feels like a big upgrade.
Now AI can:
See your screen
Access local files
Take voice input
Work faster
But here is the truth:
You are still supervising every step.
AI waits.
You approve.
AI waits again.
It is better UX.
Not real leverage.
Giphy
Levels 3 to 4
Where Things Finally Click
This is where most people should be aiming first.
Not automation.
Not agents.
Context.
Level 3: Projects (Persistent Memory)
This solves one massive problem:
repetition.
Instead of explaining:
Who you are
What you do
How you write
What you hate
What you want
Every single time…
You create a project.
Inside that project:
AI remembers rules
AI remembers documents
AI remembers preferences
Now AI behaves consistently.
This is where output quality jumps.
Not because AI got smarter.
Because you stopped resetting it.
Level 4: Connectors (Live Context)
Now AI connects to:
Google Docs
Notion
Drive
Slack
Other work tools
This removes friction.
You stop downloading files.
You stop uploading files.
You stop switching tabs.
AI pulls what it needs.
This is the moment AI stops being a chatbot
and starts becoming part of your workflow.
Levels 5 to 6
From Advisor to Doer
This is where most people get scared.
Because now AI stops suggesting.
It starts acting.
Level 5: Skills (Reusable Instructions)
Skills are simple:
You explain a process once.
AI reuses it forever.
Examples:
How you format content
How you analyze data
How you structure reports
How you review work
Without skills:
You explain yourself every time.
With skills:
AI knows the job.
This is how real scale happens.
Level 6: Cowork Mode (AI With Hands)
This is the turning point.
AI can now:
Create files
Edit files
Organize folders
Build spreadsheets
Run multi-step tasks
You give a goal.
AI figures out the steps.
You review the result.
This is not magic.
It is delegation.
The same way you would delegate to a human.
Levels 7 to 10
Unfair Territory
This is where AI works even when you are not present.
Level 7: Claude Code
This lets AI:
Work inside folders
Analyze large datasets
Process many files at once
Run structured tasks
No coding knowledge required.
Just clarity.
This is where hours turn into minutes.
Levels 8 to 10: Automation and Agents
Now AI can:
Browse websites
Fill forms
Monitor changes
Run overnight
Repeat tasks on schedules
Improve results through loops
At this stage:
You are not “using AI”.
You are designing systems.
And systems compound.
Gif by sevthurr on Giphy
The Smart Way Forward
Do not chase the highest level.
Climb properly.
Master context before automation
Master consistency before speed
Master review before autonomy
AI rewards patience with leverage.
Rush it, and you get chaos.
Use it well, and you quietly outpace everyone else.
That is the real promise hidden inside this playbook.
Wrapping up the day!
If you liked this edition, and real until here.. You are committed to AI and willing to master it🤤
Forward this email to your colleague. so that I can find similar minds like you. :)
Until next time,
Your AI Case Study Team
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