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Running AI agents in production comes down to unit economics and governance. Combining a lightweight `initial_context` outline with scheduled build diffs keeps token costs low and catches source drift early. Production notes in the reply 👇

Cost and governance usually get bolted on last in AI projects. Designing around a lightweight `initial_context` outline and scheduled build diffs solves both before you hit production scale.

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