Founder ritual

Before you sign the term sheet

Not legal or financial advice. This page is not a substitute for your counsel, your board, your CFO, a licensed advisor, or your judgment. It describes a product ritual for pressure-testing a raise offer and term sheet (valuation, dilution, control, preference stack) before you sign. Nothing here is an offer to sell securities, investment advice, or a negotiation script.

Friday evening. A founder has the term sheet PDF open next to a chatbot thread that already made the round feel won: clean headline valuation, a dilution number that sounds survivable, a preference stack described as "market." Slack is already celebrating. Counsel has a redline open. The signature block is waiting. That is the moment this page is for.

People searching "before you sign a term sheet" or "term sheet checklist for founders" usually get glossaries: liquidation preferences, participating vs non-participating, protective provisions, option pool shuffle, board seats. Those matter. This page is narrower. It treats the unsigned term sheet (economics, ownership math, control rights, and the preference language that will outlive the toast) 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 ink.

This is not before you raise (opening a seed or Series A raise narrative before partner meetings). It is not stress-test your deck (load on the pitch slides as the artifact). It is not before you sign the contract (vendor or SaaS DocuSign). It is not before you acquire (buying your way into a deal). It is not before you partner (a commercial partnership packet). It is not for investors as a role page, and it is not the pressure cluster named validate, steelman, devil's advocate, pre-mortem, or red-team. It is the post-offer move: you already have paper on valuation, dilution, control, and prefs, and the next social act is signing it.

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. Founder role page: For founders. Investor role page: For investors. First run: How to run a Pingpong. Cluster hub: Before you commit.

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 term sheet signature is a different kind of commit

A raise narrative you rewrite alone is cheap. A signed term sheet is not. Once the PDF is signed, the headline valuation, the ownership math, the board composition, and the preference language become the official version of the deal for the life of the round and often for every round after. Softening a control ask after signature looks like reneging. Celebrating a headline number while ignoring a participating preference trains the next investor to assume you do not read the stack. A cofounder who hears one dilution story in Slack and another in the cap table starts keeping a private ledger of trust.

Founders often ask one model to "summarize this term sheet" or "tell me if these terms are founder-friendly." The model returns calmer prose and a short risk list that preserves the original bet to close. Socially pleasant. Thin when the next action is Sign. Related habit for irreversible moves in general: Catch AI mistakes before you commit.

What usually hides in the offer

The dangerous parts are rarely typos. They are soft premises dressed as market terms. A pre-money that looks generous until the option pool is expanded pre-close on the founder side. Dilution math that ignores a second close, a SAFE conversion, or a note that was "already handled." A 1x non-participating preference described as standard while a side letter quietly adds participation. Protective provisions that sound like hygiene until every future hire, product line, or debt facility needs a vote you no longer control. A board seat that arrives with an observer who effectively sits as a second seat. Information rights that turn every monthly update into a soft board meeting. A pay-to-play or ratchet that only bites when the next round is hard. A "most favored nation" clause that rewrites economics you thought were closed. An expiration date on the offer that collapses negotiation into celebration.

One chatbot grading its own term sheet summary rarely catches that pattern. It softens edges and keeps the structure. Later labs, reading a concrete offer without being told to flatter the close, are a different social object. Framing: AI second opinion. Sycophancy angle: Debias AI and sycophancy research.

How the five-model handoff works on a term sheet

Paste one clear question, not a vibe. Example shape: "We have a TERM SHEET offer for ROUND at PRE / POST valuation, with this ownership and dilution math, this preference stack, these board and protective provisions, and these open redlines from counsel. Here is what the partner email promised verbally. Where is the economics soft, the control stack mismatched, or the preference language expensive to live with before we sign?" Attach the term sheet PDF, the cap table sketch, and the counsel notes when you can. Do not paste secrets you should not put in a third-party tool.

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 deal. 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 (option pool shuffle that lands on founders, dilution that ignores convertibles, a preference that participates after all, protective provisions that gate ordinary hiring, a board or observer structure that changes control without saying so), 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 preference; another may want counsel or a CFO pass on the ownership math before any signature. You still decide. Pingpong does not replace your counsel, your board, your CFO, or a real negotiation. It pressure-tests the AI-shaped term sheet 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 "what if we raised someday" notes, practice term sheets nobody offered you, and early valuation brainstorms. One strong model is enough when being wrong costs almost nothing. Save the free eligible review for the offer that is hours from signature, or the preference stack that will sit in every future financing. Role pages if the decision is not yours alone: founders, investors, executives, teams.

Related commits

Cluster hub: before you commit. Closest neighbors: before you raise (not financial advice; opening the round before partner meetings), before you sign the contract (not legal advice; vendor or SaaS packet), stress-test your deck (deck artifact before send). Same handoff, other irreversible moves: before you acquire (not legal or financial advice), before you partner (not legal advice), before you reply to the board, before you change pricing, before you hire, before you enter a new market (not business advice). Pattern page: catch AI mistakes before you commit. Founder role: for founders. 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 you sign

Take the term sheet, the ownership and dilution math, the preference stack, the control provisions, and the verbal promises you almost accepted. 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 counsel and a human who owns the signature. Start with the free eligible web review on pingpongit.com. If the chain earns a place before your next irreversible term sheet sign, 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 legal or financial advice. Not medical advice either. Hole-finding on your term sheet is not a substitute for counsel, a board, a CFO, or a licensed advisor.