🧠 How to Use TeamBrain with ChatGPT
- Mark Kendall
- 6 days ago
- 2 min read
🧠 How to Use TeamBrain with ChatGPT
Turn ChatGPT into a disciplined enterprise reasoning partner
Most people use ChatGPT like a fast autocomplete engine.
TeamBrain turns it into something very different: a structured thinking system that behaves more like a senior architect, tech lead, or decision reviewer.
TeamBrain is not software you install.
It’s a set of structured prompts, reasoning templates, and decision frameworks you load into ChatGPT to shape how it thinks.
🔗 Get TeamBrain
TeamBrain is open source and available here:
You can browse the templates directly in your browser or clone the repo if you want to customize and version your own variants.
🧩 What TeamBrain Actually Is
TeamBrain is a collection of Markdown files that define:
How problems should be framed
What assumptions must be made explicit
How tradeoffs should be analyzed
How risks should be surfaced
How recommendations should be structured
Think of it as a thinking operating system for AI — not a coding library.
🚀 Basic Way to Use TeamBrain with ChatGPT
Step 1 — Open the TeamBrain Repo
Go to:
Open one of the core files, for example:
Any of the reasoning or decision templates
Step 2 — Paste the TeamBrain Prompt into ChatGPT
Copy the full contents of one of the TeamBrain prompt files.
Start a new ChatGPT conversation and paste it in as your first message.
This tells ChatGPT:
How it should think
What role it is playing
What structure it must follow
What rules it must obey when reasoning
You are effectively “booting” TeamBrain inside ChatGPT.
Step 3 — Ask Your Real Question
Now ask your real question, for example:
“We are deciding between a monolith and microservices for a regulated payments platform.
Use the TeamBrain framework to analyze risks, tradeoffs, and give a recommendation.”
ChatGPT will now respond using:
Structured assumptions
Explicit tradeoffs
Risk framing
Enterprise-style reasoning
Decision clarity instead of generic advice
🧠 Why This Works
By default, ChatGPT optimizes for:
Speed
Politeness
Generic usefulness
TeamBrain forces it to optimize for:
Clarity
Explicit assumptions
Risk awareness
Decision accountability
Enterprise realism
In other words:
You stop getting “internet answers” and start getting “architecture review answers.”
🧩 Advanced Usage (Optional)
If you want to go further:
Create your own TeamBrain variant:
Add your company standards
Add your architectural principles
Add your security and compliance rules
Store your custom TeamBrain prompts in:
GitHub
Confluence
Notion
Then paste the customized version into ChatGPT before important design sessions, reviews, or planning meetings.
🏁 Summary
TeamBrain lets you use ChatGPT as:
A senior technical reviewer
A structured reasoning engine
A decision quality amplifier
Instead of asking:
“What should we do?”
You start asking:
“Think like our best architect.
Show your assumptions.
Surface risks.
Compare tradeoffs.
Then recommend.”
🔗 TeamBrain Repository
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