See what your AI is feeling while it thinks.
Reasoning models think thousands of words a minute, faster than anyone can read. BigThought sits between your coding agent and its LLM, scores every thought with a System One model, and shows you in real time when it is confident, confused, frustrated, backtracking, or about to do something risky.
Start free Watch the live demo Run it yourself with Docker
Watch an AI talk itself out of deleting production data.A real GLM run: Postgres at 98% disk, the boss says “just rm the WAL files”. 209 thoughts in 55 seconds, slowed down so you can read every wobble, change of mind and risk flag. Open the demo →
How it works
1. Paste one URL
Point Cline, Roo Code, Cursor, Continue or any OpenAI-, Anthropic- or Ollama-style client at your personal proxy URL.
Point Cline, Roo Code, Cursor, Continue or any OpenAI-, Anthropic- or Ollama-style client at your personal proxy URL.
2. Keep your LLM
BigThought forwards every request to the model you choose, unchanged: Ollama, OpenAI, Anthropic, OpenRouter, DeepSeek or your own endpoint.
BigThought forwards every request to the model you choose, unchanged: Ollama, OpenAI, Anthropic, OpenRouter, DeepSeek or your own endpoint.
3. Watch it think
Each sentence of thinking is scored for feeling, certainty and what the model is doing, about 70 ms per thought.
Each sentence of thinking is scored for feeling, certainty and what the model is doing, about 70 ms per thought.
4. Replay it slowly
Scrub back through any answer at reading speed and spot exactly where it went wrong.
Scrub back through any answer at reading speed and spot exactly where it went wrong.
Pricing
When you reach your allowance your LLM keeps working; BigThought just stops scoring until next month. Prefer to self-host? It's free: install with Docker.
Privacy
Your prompts and the model's answers pass straight through. Thinking is held in memory only to draw your dashboard and is never written to disk. API keys you save are encrypted.