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.
May 4, 2026 · William VanBuskirk
Use cases are not enough to make agents work
Use cases are helpful, but they are only one slice of the work. Agents create more value when they are designed around the people, process, handoffs, and feedback loops that make the business run.
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.
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.
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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