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Production AI / 1 min read

AI context needs ownership and a refresh policy.

More context can introduce stale assumptions and unnecessary data preparation.

Select context for a defined task

An AI workflow may receive broad document and data collections when it only needs evidence for one decision. Historical instructions can conflict with current requirements, and repeated preparation can add work without improving the accepted result. The task owner needs to define which sources are relevant and permitted.

A practical first step is a context inventory for one workflow: source, owner, purpose, access boundary, and update conditions. Current instructions, source facts, assumptions, and historical background should remain distinguishable during review.

Evaluate changes against accepted outcomes

A Production AI Lighthouse can compare context choices on a representative task set while tracking quality, latency, cost, and resource use. Reducing input size is only useful when the workflow retains the evidence needed for accurate, reviewable outcomes.

A relevant next step

Production AI Lighthouse

Tera Earlywine helps a business owner and data sponsor bring one defined AI workflow into production. Scope includes evaluation, permitted actions, human escalation, monitoring, and operational handoff, with acceptance criteria for quality, latency, cost, and successful outcomes.

Discuss a production AI decision