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Graduate Level: Skeptic Agent - Build Verification Pipelines

Build auto verification pipelines: agents to check sources, validate claims, and flag uncertainties

 

This lesson moves beyond manual fact-checking and into designing AI systems that can verify their own work. An automated verification pipeline uses a multi-agent architecture, typically a "Generator-Critic" model, where one agent's job is to be skeptical of another's. This creates a more robust and trustworthy final output before it ever reaches a human reviewer.

Related topics

 

  • Orchestrate tool use autonomously: agents that decide which tools to use based on task requirements
  • Design agent-based RAG systems: agents that autonomously retrieve, analyze, and synthesize from document collections
  • Evaluate agent reliability: when to trust autonomous completion vs when human verification is essential

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