Not business, legal, or product advice. This page is not a substitute for your roadmap owners, your counsel, your operators, or your judgment. It describes a product ritual for pressure-testing a feature sunset packet (usage, sunk cost, customer promise, migration) before you ship the changelog that takes something away. Nothing here is a roadmap, a retention guarantee, or a promise that customers will stay.
Friday afternoon. A PM has a Linear ticket titled "Deprecate X" open next to a chatbot thread that already made the cut feel clean: low weekly active, high maintenance, a one-paragraph migration note that sounds fair. Support wants the help article by Monday. Eng wants the flag flipped. That is the moment this page is for.
People searching "how to sunset a feature" or "before you kill a product feature" usually get product-ops checklists, usage-dashboard screenshots, and blog posts about killing your darlings. Those can help. This page is narrower. It treats the kill packet (what you remove, who still uses it, what you promised them, how they move, and the sunk-cost story you tell yourself and the team) as a social object you are about to publish with your company name, and it is about pressure-testing the AI-shaped read of that packet before the changelog or the customer email.
This is not before you sunset (winding down a whole product or line: customer promise, migration, revenue cliff, team morale). It is not before you pivot (changing ICP, killing a whole product line, or rebranding go-to-market). It is not before you launch (shipping something new while the company stays the same shape). It is not before you change pricing (a price or packaging email to the same buyers). It is not before you commit as a generic hub, and it is not the pressure cluster pages named validate, steelman, devil's advocate, pre-mortem, stress-test-your-deck, stress-test-your-memo, or red-team. It is the feature kill: retiring one surface customers already know how to reach, in a way support and sales will quote back for quarters.
Pingpong is a sequential review product for that ritual. Default chain: Grok, then Perplexity, then ChatGPT, then Gemini, then Claude. The first model drafts. Each later model sees your question, the prior answers, and a review frame that can agree, correct, restructure, or reject a weak premise. Brand: Pingpong at pingpongit.com. Not getpingpong.ai.
Definition: What is Pingpong. Mechanism: How it works. PM role page: For product managers. Founder role page: For founders. First run: How to run a Pingpong.
Your first eligible web review is free. When you need more, web Plus is $19.99/month and web Pro is $124.99/month. On iOS the listing shows three free Pingpongs, then Plus at $24.99/month or Pro at $59.99/month. Start the free web review on pingpongit.com, then open Plans when you are ready for Plus or Pro. Full table: pricing.
Why a feature kill is a different kind of commit
A backlog note you rewrite alone is cheap. A sunset you tell customers, support, and sales is not. Once the changelog names the feature as gone, that language becomes the official story of what the product still is. Softening a kill after announcement looks like confusion. Overclaiming "nobody uses this" trains power users to distrust the next cut. A CSM who hears one migration date in Slack and another in the help center starts keeping a private list of which accounts will churn over the gap.
PMs and founders often ask one model to "write a confident deprecation note" or "make the low-usage case feel decisive." The model returns calmer prose and a short risk list that preserves the original cut. Socially pleasant. Thin when the next action is the customer email, the support script, or the flag flip. Related habit for irreversible moves in general: Catch AI mistakes before you commit.
What usually hides in the kill packet
The dangerous parts are rarely typos. They are soft premises dressed as product clarity. Usage that counts logins but not the three accounts that renew because of this surface. A sunk-cost story that treats two years of engineering as a sunk ledger instead of a migration tax still owed. A customer promise buried in an old sales deck that still sits in Notion. A migration path that is really a PDF and a hope. A "low usage" claim that ignores seasonality or a cohort you already promised to keep. A sunset date that conflicts with a contract renewal window. A help article that apologizes without naming what replaces the workflow. A competitor comparison that only works if the people who loved the feature leave quietly. A roadmap narrative that sounds brave in a chatbot and thin when a customer asks who owns the last export.
One chatbot grading its own deprecation memo rarely catches that pattern. It softens edges and keeps the structure. Later labs, reading a concrete usage-sunk-promise-migration packet without being told to flatter the cut, are a different social object. Framing: AI second opinion. Sycophancy angle: Debias AI and sycophancy research.
How the five-model handoff works on a feature kill
Paste one clear question, not a vibe. Example shape: "We plan to KILL FEATURE X on DATE. Here is weekly usage, who still depends on it, the customer promises we can find, the migration path, the sunk-cost story we tell ourselves, and the objections support and sales already raised. Where is the kill soft, the usage claim incomplete, the promise ignored, or the migration fake before we ship the changelog?" Attach the usage export, the sunset draft, the migration sketch, the known account list, and the open objections when you can.
Grok goes first. Perplexity reviews with that draft in view. ChatGPT, Gemini, and Claude follow in order. Each pass can keep, fix, or refuse. You get a final answer and can open earlier passes. The product bet is not that five models invent the right roadmap. It is that skipped edge cases and soft premises are harder to ship unnoticed when later labs have to look at them.
Architecture: Sequential vs parallel AI. Category map: Multi-model AI review. Fair single-model contrast: Pingpong vs ChatGPT.
What to listen for in the middle passes
Treat independent convergence as a stronger signal than polite agreement. If three later models keep challenging the same clause (usage that hides renewals, a migration with no owner, a promise that still lives in a sales deck, a sunset date that hits a renewal window), that clause is your checklist, not a reason to force a synthetic consensus.
Treat unresolved split the same way. One model may want a narrower kill; another may want a customer conversation before any changelog. You still decide. Pingpong does not replace your PM judgment, your founders, your support leads, your counsel, or a real conversation with the accounts who will feel the cut. It pressure-tests the AI-shaped sunset story you were about to trust.
Decision reliability framing (not uptime SLAs): Extreme reliability. Clarification of the "insurance" metaphor: Decision insurance.
When to skip the chain
Skip it for exploratory "should we cut this someday" notes, brainstorm lists nobody will send, and early cleanup spikes. One strong model is enough when being wrong costs almost nothing. Save the free eligible review for the packet that is hours from a changelog, a customer sunset email, or a flag flip that takes a known workflow away. Role pages if the decision is not yours alone: product managers, founders, executives, teams.
Related commits
Cluster hub: before you commit. Same handoff, other irreversible moves: before you pivot (not business advice), before you sunset (not business advice), before you launch, before you change pricing, before you post, before you raise (not financial advice), before you sign the term sheet (not legal or financial advice), before you acquire (not legal or financial advice), before you hire, before you let someone go (not HR or legal advice), before you partner (not legal advice), before you sign the contract (not legal advice), before you reply to the board, before you send the letter (not legal advice). Pattern page: catch AI mistakes before you commit. PM role: for product managers. Chooser: when to use Pingpong. Continue on Plus or Pro.
Plans
Your first eligible web review is free. Further web reviews need a subscription. Web Plus is $19.99/month. Web Pro is $124.99/month. iOS lists three free Pingpongs, Plus at $24.99/month, and Pro at $59.99/month (yearly options appear on the App Store). Confirm the live plan at checkout. Details: plans and pricing. Related: Is Pingpong worth it.
Run it before the changelog or the sunset email
Take the usage export, the sunk-cost story, the customer promises you can find, the migration path, and the kill packet you already expect to defend. Restate them as one decision question. Run the default Pingpong order once. Keep what survives. Fix what later models break. Escalate what they cannot settle to a human who owns the product. Start with the free eligible web review on pingpongit.com. If the chain earns a place before your next irreversible feature sunset, choose Plus or Pro under Plans (web Plus $19.99, web Pro $124.99; iOS Plus $24.99, Pro $59.99). Or start on the App Store.
Again: not business, legal, or product advice. Not medical advice either. Hole-finding on your sunset packet is not a substitute for a PM, a founder, counsel, or a licensed advisor.