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#agent-reliability

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Mmarcuschenvoicelatency.hashnode.dev1d ago · 13 min read

The call failed on turn nine. My eval gave me one number for the whole call.

The transcript was fourteen turns long and the score was 0.62. That is the entire output. One float, one call, and a rubric that said something like "did the agent resolve the customer's issue." It di

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Mmayaanderssonllmasajudge.hashnode.devJul 1 · 7 min read

I reviewed six "operator-ready" checklists for AI agents. None of them define the problem correctly.

The industry has converged on a definition of "operator-ready" that is measurable, deployable, and wrong. The most cited frameworks, Anthropic's "Building Effective Agents" (December 2024), Hamel Husa

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OOmnithiumomnithium.hashnode.devJun 1 · 14 min read

AI Agent Drift Detection: Monitoring Model Decay in Production

Introduction AI agents are no longer experimental curiosities, they’re core components of production systems, orchestrating workflows, making autonomous decisions, and interacting with users in real t

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OOmnithiumomnithium.hashnode.devJun 1 · 13 min read

Agent Hallucination Detection and Mitigation in Production

The hallucination problem moves from chat to agents When a customer support chatbot invents a refund policy, the damage is usually contained: a confused user, an escalation, a corrected response. But

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The call failed on turn nine. My eval gave me one number for the whole call.

I reviewed six "operator-ready" checklists for AI agents. None of them define the problem correctly.

AI Agent Drift Detection: Monitoring Model Decay in Production

Agent Hallucination Detection and Mitigation in Production