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Build a four-step frame-stack hot-cognition sequence
A four-step frame-stack sequence for your named deal: the four hot cognitions in canonical order, each with its own distinct scripted move that meets the word floor and carries its frame's marker phrase.
You receive: A JSON object { dealName, stack: [ { step, hotCognition, move } x4 ] }. dealName must match the deal name you give at intake (case-insensitive). Steps are numbered 1 to 4 and hotCognition values must appear in exactly this order: intrigue, prize, time, moral_authority. Each move is a distinct script of at least your word floor. The time move must contain at least one of these exact phrases: time, minutes, meeting, have to go, wrap up, schedule. The moral_authority move must contain at least one of these exact phrases: rules, right, fair, do things right, integrity, correct, by the book, know the rules.
Part of Pitch Investors
What's verified: STUD verifies the deliverable is a JSON object of at most 20,000 characters whose dealName matches the deal you name (case-insensitive), with a stack of exactly four steps numbered 1 to 4 whose hotCognition values are, in order: intrigue, prize, time, moral_authority; that each scripted move meets the word floor you set (minMoveWords, default 8, clamped to 1-100) and the four moves are distinct (case-insensitive); that the time move contains at least one of these exact phrases: time, minutes, meeting, have to go, wrap up, schedule; and that the moral_authority move contains at least one of these exact phrases: rules, right, fair, do things right, integrity, correct, by the book, know the rules. STUD does NOT judge whether the moves are persuasive, whether they actually trigger a hot cognition or a yes in the room, or whether they use the pitch context you provide (what you are pitching, who is in the room, and why the deal is the prize). These inputs brief the operator only and are not machine-checked.
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Example
A sample of what this play produces. Your result is generated for your inputs.
Deal Name
STUD pre-seed round
Stack
| Step | Hot Cognition | Move |
|---|---|---|
| 1 | intrigue | Put the deck down for a moment. The materials in front of you were produced by the product itself: STUD ran its own plays, on its own workspace facts, to write its own pitch, the same way it works for any venture it holds. Every session with a general-purpose chat assistant starts from zero, so nothing compounds. This system has been accumulating its own business fact by fact, and before you leave I will show you the run that wrote this very script. |
| 2 | prize | The AI agents market is about 8 billion dollars in 2025, growing 42 to 50 percent a year on cited external estimates, and in that market capital is the commodity. The scarce asset is a living system that already works: 265 plays across 14 playbooks, results that land structured and feed the next run, a catalog already doing the strategy work you just read. We are choosing one lead partner for this pre-seed, so tell me what your fund adds beyond the check. |
| 3 | time | I want to be straight about the clock. We scheduled thirty minutes for this meeting and I will wrap up on time, because the cadence that produced these materials runs on its own schedule whether anyone is in the room or not. Take the diligence time you need this week. The system will know more by the time you call back, and the round moves at its own pace, it does not wait on any one room. |
| 4 | moral_authority | Last thing, and it is about how we do things right. Every claim in this pitch traces to a fact in our own workspace: real figures stated as fact, targets labeled illustrative, and the acceptance check that screens every buyer deliverable applied to our own materials first. Those are the rules the product enforces, so we keep them by the book ourselves, even when a rounder number would close faster. A company that will not shade a figure to win a round is the company you want reporting to you after the round closes. |
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