AI Feature Launch Checklist
A go-live checklist for putting an AI feature in front of real users. It covers whether the use case fits, the evals that must pass, UX for uncertainty and errors, disclosure and human override, abuse and safety filters, rate limits and cost caps, privacy of prompts, and monitoring, staged rollout and rollback, each with a severity and a concrete way to verify it.
8
Sefism · Oct 2026
34
Sefism · Oct 2026
8
Sefism · Oct 2026
AI
Sefism · Oct 2026
Checklist
AI & Machine Learning
Sefism
17 min read
Intermediate
Free
What this checklist is
A go-live checklist for putting an AI feature in front of real users. It covers whether the use case fits, the evals that must pass, UX for uncertainty and errors, disclosure and human override, abuse and safety filters, rate limits and cost caps, privacy of prompts, and monitoring, staged rollout and rollback, each with a severity and a concrete way to verify it.
It has 8 chapters and 34 checks, each with how to verify it and how much it matters. For teams shipping an LLM feature to real users.
Chapter by chapter
1. Use case fit (4 checks)
Before anything else, confirm the feature is a good job for a language model, and that the cost of its mistakes is one your users and business can carry.
2. Evals passed (4 checks)
A launch decision needs numbers, not impressions. These checks confirm the feature was measured against an agreed bar, including how it fails.
3. UX for uncertainty and errors (5 checks)
Users need to know when to trust the output and what to do when it is wrong. These checks follow Google PAIR's guidance on errors and graceful failure.
4. Disclosure and human override (4 checks)
People should know when they are dealing with AI and be able to reach a person when it matters. These checks cover labels, escalation and opting out.
5. Abuse and safety filters (4 checks)
Once public, the feature will be used in ways you did not intend. These checks put filters, identity and reporting in place before that happens.
6. Rate limits and cost caps (3 checks)
A launch can multiply traffic overnight, and abuse can multiply cost. These checks make sure neither surprises you.
7. Privacy of prompts and outputs (4 checks)
Prompts often contain personal or confidential data. These checks cover what you send, what your provider keeps and what you log.
8. Monitoring, rollout and rollback (6 checks)
Launch gradually, watch the right signals, and be able to undo it fast. These checks apply standard release safety to a component that can change without a deploy.
How it works on Sefism
The checklist is one page: each check has a severity (must, should or nice to have) and a concrete way to verify it, and members can tick checks off as they go. The opening chapters are open to everyone. Adding it to your account uses credits, opens every chapter and keeps your progress.
Every claim is checked against the sources listed on the page (8 cited).
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Opens on Sefism in a new tab.
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