Founder and PM ritual

Before you sunset

Not business, legal, or product advice. This page is not a substitute for your roadmap owners, your counsel, your finance leads, your people managers, or your judgment. It describes a product ritual for pressure-testing a whole-product or whole-line end-of-life packet (customer promise, migration path, revenue cliff, team morale) before you send the EOL email that takes a living product away. Nothing here is a retention guarantee, a layoff plan, or a promise that customers will stay.

Monday morning. A founder and a PM have a doc titled "Product Y EOL" open next to a chatbot thread that already made the wind-down feel clean: soft ARR trend, a migration sketch to Product Z, a date that sounds generous. Finance wants the revenue cliff modeled by Wednesday. Eng wants to know whether the team that shipped Y still has a home. Customers still log in every week. That is the moment this page is for.

People searching "how to sunset a product" or "before you EOL a product line" usually get SaaS ops checklists, churn-math templates, and essays about killing your darling. Those can help. This page is narrower. It treats the sunset packet (what whole product or line you end, what you promised the people still using it, how they move, what revenue walks when, and what you tell the team that built it) 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 EOL email or the all-hands.

This is not before you kill the feature (retiring one surface inside a product that otherwise keeps shipping). It is not before you pivot (renaming who you serve, what you become, and how you go to market). It is not before you launch (shipping something new while the company stays the same shape). It is not before you acquire (combining two organizations). 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, or red-team. It is the whole-product sunset: ending a product or line customers already depend on, in a way support, sales, finance, and the team 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 whole-product sunset is a different kind of commit

A feature flag you flip alone is local. An EOL you tell customers, finance, and the people who built the product is not. Once the email names the product as ending, that language becomes the official story of what the company still ships. Softening an EOL after announcement looks like confusion. Overclaiming "customers already moved" trains the accounts still paying to distrust the next letter. A CSM who hears one migration date in Slack and another in the help center starts keeping a private list of which renewals will walk over the gap. An eng lead who learns the sunset from a customer thread before the all-hands starts rewriting their own exit story.

Founders and PMs often ask one model to "write a confident EOL note" or "make the wind-down feel inevitable." 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 finance model, or the room full of people who shipped the product. Related habit for irreversible moves in general: Catch AI mistakes before you commit.

What usually hides in the sunset packet

The dangerous parts are rarely typos. They are soft premises dressed as clarity. A customer promise buried in an old enterprise MSA, a sales deck still living in Notion, or a founder tweet that support still quotes. A migration path that is really a PDF, a competitor link, and a hope with no named owner. A revenue cliff that counts logo churn but ignores the renewals sitting inside the EOL window, or the upsell that only exists because this product was the wedge. A "low usage" claim that hides the three accounts carrying half the ARR. A team-morale story that treats people as capacity to reallocate instead of humans who attached identity to the product. A sunset date that collides with a compliance audit, a school year, or a contract auto-renew. A help article that apologizes without naming what replaces the workflow. A competitor comparison that only works if the people who loved the product leave quietly.

One chatbot grading its own EOL memo rarely catches that pattern. It softens edges and keeps the structure. Later labs, reading a concrete promise-migration-cliff-morale packet without being told to flatter the wind-down, are a different social object. Framing: AI second opinion. Sycophancy angle: Debias AI and sycophancy research.

How the five-model handoff works on a product sunset

Paste one clear question, not a vibe. Example shape: "We plan to SUNSET PRODUCT Y on DATE. Here is who still depends on it, the customer promises we can find, the migration path and owner, the revenue cliff by cohort and renewal window, the team who ships it and what we plan to tell them, and the objections support and finance already raised. Where is the EOL soft, the promise ignored, the migration fake, the cliff undercounted, or the morale story dishonest before we send the email?" Attach the ARR export, the EOL draft, the migration sketch, the known account list, the team roster notes, 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 portfolio. 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 (a promise that still lives in a contract, a migration with no owner, a cliff that ignores renewals inside the window, a morale story that pretends the team already knew), 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 EOL; another may want customer conversations before any email. You still decide. Pingpong does not replace your founder judgment, your PMs, your finance lead, your people managers, your counsel, or a real conversation with the accounts and teammates 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 sunset someday" notes, brainstorm lists nobody will send, and early portfolio sketches. One strong model is enough when being wrong costs almost nothing. Save the free eligible review for the packet that is hours from an EOL email, a finance cliff slide, or an all-hands that tells a team their product is ending. 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 kill the feature (one surface, not a whole product), before you pivot (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 announce layoffs (not legal or HR 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 EOL email

Take the customer promises you can find, the migration path and owner, the revenue cliff by cohort, the team-morale story, and the sunset 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 and the people. Start with the free eligible web review on pingpongit.com. If the chain earns a place before your next whole-product 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 founder, a PM, counsel, finance, people ops, or a licensed advisor.