Category: Artificial Intelligence
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Research: The Workspace Boundary for Agent Memory
A clear pattern is emerging in how major AI and workspace platforms handle long-term agent memory. The core idea is simple: store memory in the smallest durable workspace that users already recognize, such as a project, repository, document, workspace, namespace, or site. Then, rely on the platform’s existing permission system to decide who can access…
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Memory in WordPress Core: Building on Guidelines
When I wrote about WordPress Core AI 7.1 planning a few weeks ago, I called Guidelines my top personal priority and mentioned memories and skills as future primitives this work would unlock. This post explains what I mean by memory in this context, why I think it belongs in core rather than in a plugin,…
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WordPress Core AI — 7.1 Planning and Beyond
Building on the Abilities API and three read-only core abilities (core/get-site-info, core/get-user-info, core/get-environment-info) shipped in 6.9, WordPress 7.0 brings the server-side WP AI Client. Together these form the baseline: a way to declare what WordPress can do, and a way to connect to providers that reason about it. This post outlines what I’d like to…
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Research: Architecting Tools for AI Agents at Scale
Loading all available tools into an LLM’s context simultaneously is one of the most consequential architectural mistakes teams make when building AI integrations. The solution isn’t bigger context windows, and it’s progressive tool exposure: dynamically presenting only the tools relevant to each interaction. This post surveys the major patterns for doing so, drawn from production servers,…