AI Product Launch Checklist

Launch an AI product with measured quality and a plan for real-world failure.

What the resource contains

48 launch checks

Evaluation scorecard

Cost and capacity gate

Day-one monitoring plan

Selected preview

Quality gate

Define success before looking at demo output.

Create a representative, versioned evaluation set

Score task success separately from style

Measure abstention and unsafe-completion rates

Review failures by segment, language, and input length

Production gate

Prove the service can fail safely.

Set per-user and global budgets

Test provider timeout, rate limit, and malformed output

Define a useful non-AI fallback

Make model and prompt versions observable

Launch window

Close the feedback loop.

Name the rollback owner and threshold

Staff support with known failure modes

Review traces and user feedback daily

Freeze unrelated high-risk changes during the acceptance window

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