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Building an AI That Finds Your Blind Spots
What if an AI could interview you about your vulnerabilities, critique your responses, and generate a preventative action plan — all using tools available right now? This episode breaks down a four-agent architecture for cascading failure detection: an Ideation Agent that generates plausible disaster chains, an Interviewer Agent that forces you to articulate your response, a Critique Agent that finds your blind spots, and a Remediation Agent that documents actionable steps. We explore prompt engineering lessons from Anthropic’s Causal Chain Decomposition paper, the adversarial design patterns…
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