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Build a novelty-and-tension attention beat sheet
An ordered beat sheet, named for your pitch, where each beat is typed novelty or tension with a mechanism from the fixed menu, both types are present, and neither type runs longer unbroken than your cap.
You receive: A JSON object { pitchName, beats: [ { order, type, mechanism, note }, ... ] } where pitchName echoes your pitch name, type is exactly 'novelty' or 'tension', and mechanism is one of the fixed lowercase labels: for novelty beats one of demo, new idea, metaphor, surprise, reveal, unexpected gain, bright object; for tension beats one of take away, deadline, scarcity, consequence, push-pull, withhold, raise stakes, qualify. Each beat carries a short free-text note.
Part of Pitch Investors
What's verified: STUD verifies mechanically: the submission is a JSON object within a 20,000 character size bound; pitchName is non-empty and matches the pitch name you froze at intake (case-insensitive); beats is an array with at least your minimum count (clamped to 2 to 30), with order values exactly 1..N in sequence; every type is exactly 'novelty' or 'tension' and both appear; no same-type run exceeds your cap (clamped to 1 to 10); every mechanism is one of the fixed lowercase labels, for novelty: demo, new idea, metaphor, surprise, reveal, unexpected gain, bright object, and for tension: take away, deadline, scarcity, consequence, push-pull, withhold, raise stakes, qualify; and every note is a non-empty string with no duplicate notes (presence and uniqueness only, not quality). STUD does NOT verify the substance of any note, whether the beats fit your actual pitch content or audience, or whether the sheet will hold a real audience's attention. Your pitch description and audience fields are context for the operator, not enforced criteria.
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Example
A sample of what this play produces. Your result is generated for your inputs.
Pitch Name
STUD pre-seed investor pitch
Beats
| Order | Type | Mechanism | Note |
|---|---|---|---|
| 1 | novelty | demo | Open with a live run, no title slide: pick a play from the 265-play catalog, let the intake fill itself from workspace facts, and have the deliverable land on screen inside two minutes. |
| 2 | tension | consequence | Name what the blank prompt costs: every AI session starts from zero, the founder re-explains the business each time, and the output goes stale in a doc nobody reopens. |
| 3 | novelty | new idea | State the frame in one line: STUD is a living system for your venture, it knows your business, does the work, and learns from every result. |
| 4 | tension | withhold | Hold back the flywheel: say the tenth run is better than the first, promise the reason in two minutes, and move on before explaining. |
| 5 | novelty | metaphor | Give them the picture: a fact stated once reaches everything you run, so the venture's knowledge stops sitting in documents and starts doing work, the way a ledger beats a shoebox of receipts. |
| 6 | novelty | reveal | Pay off beat 4: results land structured and feed the next play, and an acceptance check screens every deliverable before it counts, so each run leaves the system knowing more than it did. |
| 7 | tension | raise stakes | Raise the stakes with the market clock: AI agents are about an $8B market in 2025 growing 42 to 50 percent a year, and the compounding-workspace position will be taken this cycle. |
| 8 | novelty | unexpected gain | Land the economics as the surprise: software margins, not agency margins, with plans from $20 a month, plays at $0.40 to $1.60 in credits, and a modeled gross margin near 87 percent (estimated). |
| 9 | tension | scarcity | Make capacity concrete: one founder-operator concierge at about 30 plays a week in the launch scenario (illustrative), so the design-partner cohort stays small on purpose. |
| 10 | tension | deadline | Close on the ask: a $1,000,000 pre-seed target (illustrative) to open paid fulfillment while the soft launch is live, and put a date on the follow-up so the decision has a clock. |
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