I asked Claude to help me decide between two job offers.
It gave me a "pros and cons" list. Generic. Surface-level. The kind of advice you'd get from a random blog post.
That was the moment I realized: AI assistants are brilliant at generating text, but terrible at structured thinking.
So I built Think Better -- an open-source CLI that permanently injects decision-making frameworks into your AI's brain.
The Problem
Every time you ask an AI for help with a real decision, you get:
- Pros and cons (basic)
- "It depends on your situation" (useless)
- No framework for HOW to think
- No awareness of cognitive biases
- No structured decomposition
The AI has the knowledge. It just doesn't have the methodology.
What Think Better Does
Think Better installs structured thinking frameworks directly into your AI assistant's configuration. After a one-time setup, your AI automatically:
1. Selects the right framework for your problem:
| Your Question | Framework Used |
|---|---|
| "Should I take this job?" | Weighted Decision Matrix |
| "Why is our conversion dropping?" | Issue Tree + MECE |
| "What could go wrong with this launch?" | Pre-Mortem Analysis |
| "PostgreSQL or MongoDB?" | Evaluation Matrix |
2. Detects cognitive biases in real-time:
Your AI will flag when you're falling into:
- Sunk Cost Fallacy -- "You've invested time, but that shouldn't affect future decisions"
- Anchoring Bias -- "Your first data point might be skewing your judgment"
- Status Quo Bias -- "Are you choosing this because it's familiar?"
- ...plus 9 more bias detectors
3. Generates structured outputs:
Instead of paragraphs of text, you get:
- Comparison matrices with weighted scores
- Issue trees with MECE decomposition
- Pre-mortem risk assessments
- Hypothesis testing frameworks
Install in 30 seconds
bash
# Install
curl -sSL https://raw.githubusercontent.com/HoangTheQuyen/think-better/main/install.sh | bash
# Initialize for Claude
think-better init --ai claude
# Or for GitHub Copilot
think-better init --ai copilot
Top comments (0)