The short answer
A data contract defines the shape, quality, ownership, and freshness expectations that AI workflows rely on.
When an AI product produces a surprising result, the model is not always the source. Data may be stale, incomplete, or shaped differently than the workflow assumes.
A data contract records fields, owners, update cadence, and acceptable quality. It gives downstream systems something stable to rely on.
The teams producing and consuming data share responsibility. Clear contracts make that collaboration visible and fixable.
A useful note, once a week
Make room for better signal.
About the author
Elena writes about technical systems and the humans who operate them.
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One thoughtful note on AI, agents, and AGI. No noise.
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