AI Lesson & Submodule
Explainable AI Responses
Generate structured thought chains prior to final answers to improve accuracy.
Why This Matters
Requesting reasoning first leverages the transformer's next-token capacity to compile logic before locking final answers.
What You Will Learn
- •Setup Chain-of-Thought (CoT)
- •Isolate reasoning outputs
- •Verify intermediate steps
Concepts Covered
Chain of ThoughtReasoning blocksSelf-reflection steps
Mapped Foundation Project: AI Scam Detector
System design analyzing incoming messages for fraud signals, using classification prompt instructions and confidence bounds.
Architecture Preview
Inbound message router evaluating inputs against prompt structures and returning classified risk vectors.
User Input TextScam Evaluator PromptScam Model Call
Tech Stack Planned
ReactTypeScript
GitHub: Coming SoonLive Demo: Coming Soon
Coming SoonTechnical Interview Value
- ?Explain why computing reasoning tokens first decreases classification error rates