ReasonKit forces AI to show its work. Every angle explored. Every assumption exposed. Every decision traceable.
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
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.