AI Agent Memory Poisoning: How One Prompt Injection Becomes Permanent
Long-term memory turns a one-time prompt injection into a standing instruction. Here's how it happens, and the three controls I built to close it.
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A collection of 6 posts
Single-Agent vs Multi-Agent Architecture: Where You Can Afford to Lose Context
Two respected teams say opposite things about multi-agent systems. Both are right, and the line between them runs straight through the handoff.
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Agent Harness Explained: What It Is, When to Use One, and How to Build Your Own
A first-principles guide to the AI agent harness: the layer around the model that decides whether your agent actually works.
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Building an Eval Stack That Catches Regressions: Judges, RAG Metrics, and CI Gates (Part 2 of 2)
How to grade what code can't assert, evaluate RAG without debugging blind, and wire a gate that survives production.
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Evaluating AI Agents: Why 95% Per-Step Accuracy Is a Failing Grade (Part 1 of 2)
Why agent evaluation breaks the tools built for prompts, and how to measure outcomes instead of vibes.
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Agent Skills Explained: What They Are, How to Use Them, and How They Differ From MCP
A first-principles guide to Agent Skills: how they work, how to build one with skill-creator, and how they differ from MCP servers.
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