Designing for Agents — Zeno Rocha, Resend
Where does answer engine optimization (AEO) end and agent experience begin? Inside Resend, from the docs that help Claude Code pick an email API to the tools it uses to send.
Where does answer engine optimization (AEO) end and agent experience begin? Inside Resend, from the docs that help Claude Code pick an email API to the tools it uses to send.
Original analysis, the Latent Space podcast and the daily AI News briefing, for engineers building with AI.
Handshake AI — Garrett Lord & Team



705 profiles and 281 grounded writeups on the people and organisations behind the conversations.
Chemist and materials researcher combining machine learning, physical simulation and experimental data, and Lila Sciences’ chief scientific officer for physical sciences.
AI researcher and entrepreneur building agents that act across screens, with a focus on reliability, human approval, and consumer access.
Featherless AI cofounder and CEO, RWKV research collaborator, and advocate for affordable, multilingual open-model inference.
Co-creator of Writely, which became Google Docs, and a Microsoft technology leader whose AI work combines model reasoning with conventional code.
A browser development environment that expanded from AI code completion and its own code models into agents that build, test, deploy, and coordinate work across applications and other artifacts.
An AI engineering and transformation firm built around output-based billing, engineer compensation, and shared infrastructure for coding agents.
The canonical essay that started it all — and named the discipline.
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