Chain of Thought
Master transparent, step-by-step reasoning for more accurate and explainable AI agents
Your Progress
0 / 5 completedBuilding Your Own Reasoning Chains
Now it's your turn! Creating effective reasoning chains is a skill that improves with practice. The key is to think explicitly about each logical step, connecting the dots in a way that anyone (including your future self) can follow.
Interactive: Build a Reasoning Chain
Practice building a chain for this problem: "A store offers 20% off a $150 item. With an additional $10 coupon, what's the final price?"
Select step type:
Your reasoning chain will appear here. Start by adding steps above!
Checklist: Is Your Chain Complete?
Start with knowns: Explicitly state given information and constraints
Show all calculations: Don't skip arithmetic or logical steps
Verify intermediate results: Check if each step makes sense before continuing
Use clear transitions: Connect steps with "therefore," "next," "since," etc.
State final answer clearly: End with explicit conclusion
Implementation Tips for Agents
🎯 Prompt Engineering
Use phrases like "Let's solve this step-by-step," "First, let's identify...", "Now that we know X..."
🔄 Iterative Refinement
Generate initial chain, then ask the model to critique and improve it. Self-reflection improves quality.
📝 Template Chains
Create reusable chain templates for common problem types (math, logic, planning) to maintain consistency.
🧪 A/B Testing
Compare direct answers vs. CoT chains on your specific domain. Measure accuracy improvement and token cost.