Experimental feature sunset engine

Recover maintenance capacity from decided failed experiments

Confirm the buyer's problem and scope, collect approved experiment decisions and dependency maps, then follow this sequence: 1. Identify confirmed retired variants. 2. Prepare removal and communication plans. 3. Verify owner-approved completion. Resolve uncertain cases with qualified reviewers, approve engineer-reviewed feature retirement package, and measure maintenance and compute cost avoided minus removal and transition costs against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. No autonomous deletion; retain required data and approved fallback paths. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Use consented research and preserve contradictory evidence. Separate observed user behavior, proposed explanations and untested product assumptions. No autonomous deletion; retain required data and approved fallback paths. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: No autonomous deletion; retain required data and approved fallback paths. Implement one approved input format, a bounded representative case set and the first two task modules: identify confirmed retired variants; prepare removal and communication plans. Support the third module with operator review: verify owner-approved completion. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Product feedback, authorized interviews, usage exports and requirement records. Calendars, email, task managers and relevant business records. Use draft actions and supervised handoffs first, then enable only specifically authorized writes. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Request and prerequisites, Owner-controlled task board, Completion evidence. Use a queue or timeline as the opening view, with clear owners, dates and current states. Each case opens into its source context, proposed actions and discussion. Give external participants a limited form or status page. Make the next required action visible without opening every record. Make the task-specific outcome engineer-reviewed feature retirement package visible beside its evidence, review state and value baseline.