• system prompt — The standing instructions a model receives before any user input — defining its role, rules, tools, and tone for the whole conversation.
• context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.

If your agent loads dozens of tool schemas into every prompt, the Semantic Tool Router pattern cuts latency (claimed up to 90% in high-tool-density scenarios) and reduces cross-tool confusion by injecting only the most relevant tools per request. It's a deterministic routing layer that lets agents scale to hundreds of capabilities without ballooning context.

• videoWhy AI Agents Need Million-Token Context — Thomas Wolf & Olive Song, MiniMax
• videoYour company brain will leak secrets: how we stopped it for big banks — Tanmai Gopal, PromptQL
• videoTethered: Our Agents Are Us — Shu Fang, Two Sigma
• videoAgents' next frontier: agent-to-agent and network effects — Jean-Denis Greze, Town

• postRAG-MCP: Retrieve the Right Tools Instead of Dumping Them All InWRITER
• videoThe Death of Developer Advocates — Stephanie Jarmak, SourcegraphAI Engineer
• videoYour Agent Is Wasting Tokens and You Don't Know It - Erik Hanchett, AWSAI Engineer

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