A blazing-fast reasoning engine that forces AI to show its work. Every angle explored. Every assumption exposed. Every decision traceable. 10-100x faster than pure Python chains
Most AI responses sound helpful but miss the hard questions.
Each ThinkTool catches a specific type of oversight.
Every deep analysis follows this pattern.
Explore all angles before narrowing down
Check logic, detect fallacies, find flaws
First principles, simplify to what matters
Check facts against sources, triangulate claims
Be honest about weaknesses and risks
Explore widely first, then focus ruthlessly
From ideas to first principles to evidence
Build up possibilities, then attack your own work
Choose your depth based on the decision's importance.
# Install ReasonKit cargo install reasonkit-core # Career decisions rk-core think "Should I ask for a raise or find a new job?" --profile balanced # Life decisions rk-core think "Should I move to a new city?" --profile deep # Fact checking rk-core think "Is intermittent fasting actually effective?" --profile balanced # See the before/after difference rk-compare "Your question here" --profile balanced
Enter a question and watch all five ThinkTools analyze it
ReasonKit's Rust core delivers enterprise-grade performance
Benchmarks run on Apple M2 Pro, 16GB RAM. View methodology →
Engineers who've integrated ReasonKit into their workflows
"I was skeptical another reasoning framework would add value. Then I ran my first benchmark—literally 50x faster than my LangChain setup. The Rust core isn't marketing fluff."
"The BrutalHonesty tool caught an edge case in our recommendation engine that 3 senior engineers missed in code review. Now it's part of our CI pipeline."
"We replaced 2,000 lines of custom prompt engineering with 50 lines of ReasonKit config. Same accuracy, 10x less maintenance. Should've switched months ago."
AI gives you answers fast. But how do you know they're good? Most LLM responses sound confident but skip the hard questions. We built ReasonKit to fix that: five tools that force AI to think systematically, explore all angles, and expose its assumptions.