Designing for Agents：Resend 分享面向 AI 智能体的产品设计经验

核心内容之一是 Answer Engine Optimization（AEO）：Claude Code 等 AI 编程工具在为用户推荐邮件服务时，产品团队需要设计文档和接口让这些智能体更容易理解与推荐自己的产品。Resend 通过 Model Context Protocol（MCP）向智能体提供超过 80 个命名工具，智能体可以自主完成注册账户、以 Markdown 格式查询价格、发送邮件等操作。

播客还覆盖了邮件送达的技术细节，包括应对发送高峰、Gmail 节流、域名信誉与反滥用机制；Resend 以 React Email 作为获客入口，坚持自研邮件栈，处理 DNS 等复杂环节并提供企业级可视化。对开发工具公司而言，同时服务人类开发者与机器智能体正在成为产品设计的新基准。

🆕 Designing for Agents Agent Experience is one of the most hotly contested topics of 2026, and increasingly critical for devtools/infra companies to get right. @ZenoRocha has been writing and thinking about this since 2024 and came on the pod to spill @Resend secrets! youtu.be/bdIoODXsu8k e Key themes include: - Answer Engine Optimization (AEO): how AI models like Claude Code recommend email services and how product teams can design for these agents - Deliverability and Trust: The discussion delves into the complexities of getting mail into the inbox, including handling bursts, managing Gmail throttling, and the importance of domain reputation and anti-abuse measures - Developer Experience & MCP: A major focus is on building for both humans and machines. Resend utilizes the Model Context Protocol (MCP) to provide agents with over 80 named tools, allowing them to autonomously set up accounts, check pricing in Markdown, and send emails - Technical Infrastructure: React Email as a wedge for adoption and but Resend's commitment to owning the mail stack, including managing complex DNS hurdles and providing enterprise-level visibility📊 2 ⚡

This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Resend, MCP/工具, Claude Code, 智能体.

Source attribution: curated from Latent.Space (@latentspacepod).