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    AgentVet Weekly — August 3, 2026

    August 3, 2026

    From the founder

    The MCP protocol matured significantly this week with the stateless 2.0 spec, and I keep coming back to the same question it raises: if tool-calling infrastructure is finally stabilizing, the real constraint shifts to model capability and cost at the edge. DeepSeek V4 Flash's price-to-performance profile and OpenAI's 10M-user Codex story both point at the same thing, agentic systems are leaving the lab and hitting production scale, which means the plumbing decisions you make today are load-bearing.

    Simon Willison

    Adding a custom MCP server to Claude and ChatGPT

    TIL: Adding a custom MCP server to Claude and ChatGPT Connecting a custom MCP server to Claude and ChatGPT's standard chat interfaces is possible, but can take quite a few steps. Tags: ai , generative-ai , chatgpt , llms , claude , model-context-protocol

    Simon Willison

    deepseek-ai/DeepSeek-V4-Flash-0731

    deepseek-ai/DeepSeek-V4-Flash-0731 The latest release in DeepSeek's V4 family, "with substantially enhanced agentic capabilities". It's 304 billion parameters - 167GB on Hugging Face - but it appears to punch well above its weight. Artificial Analysis rank it ahead of MiniMax M3

    Latent Space

    Codex from 0 to 10M Users: Building ChatGPT Work — Akshay Nathan, OpenAI

    OpenAI's product engineering lead details how Codex scaled from zero to 10M users by building modular agentic features — subagents, memory, no-code orchestration — directly into ChatGPT Work. The architectural decisions around subagent coordination and memory persistence are directly transferable to teams building enterprise agent products. The advice on avoiding premature abstraction in agent pipelines is worth the read time.

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