LLM Agents articles

5 articles about LLM Agents, newest first.

• ECDYSIS: Solving Runtime Harness Failures in LLM Agents — Learn how the ECDYSIS method helps LLM agents distinguish between their own logic errors and runtime harness failures to prevent overfitting.
• How a Single Residual Vector Controls AI Tool Calls — A tiny residual-stream vector can steer when an LLM agent decides to call external tools, slashing costs and speeding up decisions.
• Agentic Commerce Stack Explained: How AI Agents Shop Without Breaking — AI agents hit roadblocks on tiny shopping details, leading to a new stack of acronyms — MCP, A2A, ACP, UCP, AP2 — that enable reliable, scalable commerce interactions.
• Beyond the Chatbot: How Graph Engineering Unlocks 'System Intelligence' — Discover how Graph Engineering moves AI from single, smart agents to a collaborative 'System Intelligence' for complex problem solving.
• Synthetic Personas: How LLM Agents Mimic Real Survey Respondents (And Where They Break) — Learn how LLM agents can replicate human survey answers, the hidden risks of prompt tweaks, and why a noise‑floor benchmark matters for real‑world AI decisions.