Multi-Stage Reasoning: The Council of Experts

In critical fields (Medical, Legal, Security), one AI's opinion isn't enough. AgentCore allows you to implement Multi-Stage Verification, where one model proposes an answer and a different model critiques it.

1. The Proposer-Critic Pattern

• Node 1 (Proposer): Claude 3 Haiku generates a draft answer.
• Node 2 (Critic): Claude 3.5 Sonnet (Smarter) reviews the draft against the source PDF.
• Node 3 (Logic): If the Critic identifies a hallucination, the flow loops back to Node 1 for a rewrite.

2. Benefits of Multi-Stage Logic

• Accuracy: Drastically reduces hallucinations by having a "Second Set of Eyes."
• Cost: Use a cheap/fast model for the first draft and the expensive/slow model only for the final verification.
• Auditability: You can see exactly which node corrected the other, providing a clear record of the AI's "internal debate."

---

3. Visualizing the Critique Loop

graph LR
    Draft[Draft Node] --> Critic[Critic Node]
    Critic -->|Issues Found| Draft
    Critic -->|Verified| Final[Final Answer]
    
    Note[Architecture forces the draft to meet the critic's standard]

---

💡 Guidance for Learners

This is the "Endgame" of AI development. When you use AgentCore to build a Multi-Model Verification Graph, you are building intelligence that is more reliable than any single human or any single AI model acting alone.

---

Summary

• Multi-Stage Reasoning uses different models for different layers of logic.
• Proposer-Critic loops ensure high fidelity.
• AgentCore provides the "Mechanical" glue to enforce these loops.
• This approach is the standard for Mission-Critical AI.