Our Thinking

Perspectives on AI, expertise, and why the hard problems matter most.

May 4, 2026 · William VanBuskirk

Most AI stacks are built backwards. Start with the agent, not the data.

The default enterprise AI sequence (data, CRUD, dashboard, agent-on-top) is the wrong shape for agents. The reframe is the audience: the agent isn't the last reader of your data, it's the first.

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May 4, 2026 · William VanBuskirk

Use cases ship. Operating models work.

The industry sells agent use cases (meeting summarizer, support copilot, sales-research bot). The unit of design that actually scales is the operating model: an agent with a beat, peers, escalation paths, and artifacts it owns. The agent goes on the org chart, not in the feature list.

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May 2, 2026 · William VanBuskirk

Voice agents don't need a faster horse. They need a dispatcher.

Why every consumer voice agent feels weirdly limited the moment you try to do real work in it, and how the same architecture that makes Claude-via-MCP feel deep makes voice-to-voice possible without breaking the loop.

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April 27, 2026 · William VanBuskirk

Sparse but Deep: why most RAG is noise

Last week we ran the same question through two retrieval shapes: Codex over a week of commits, myai over the artifact graph. Same input, very different outputs. Here's why we summarize before we search, and why it matters more the longer your agent runs.

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April 26, 2026 · William VanBuskirk

myai is the context. Your agent is the hands.

Why we deliberately don't try to be a catch-all MCP connector. What becomes possible when myai handles your context and your agent of choice does the rest.

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April 13, 2026 · Mark Freedman & William VanBuskirk

Your agent instructions are describing, not prescribing

Almost all agent documentation (system prompts, CLAUDE.md files, cursor rules) describes the world. The document your agent needs is the one it can't derive from the code: your intent.

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