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Build a time-budgeted four-phase pitch runsheet
A four-phase pitch runsheet whose whole-minute budgets sum exactly to your total pitch length, with Phase 2 carrying strictly the most minutes and every phase carrying at least your required count of distinct talking points of three or more words.
You receive: A JSON object { totalMinutes, phases: [ { phaseNumber, phaseName, minutes, talkingPoints: [string,...] } x4 ] }, where totalMinutes matches your frozen total pitch length and the four phaseName values are exactly, in order: "Introduce yourself and the big idea", "Explain the budget and secret sauce", "Offer the deal", "Stack frames for a hot cognition".
Part of Pitch Investors
What's verified: STUD verifies the deliverable is a single JSON runsheet within a size bound, with exactly four phases in order carrying the four fixed phase names, verbatim: "Introduce yourself and the big idea", "Explain the budget and secret sauce", "Offer the deal", "Stack frames for a hot cognition", whole-number minute budgets of at least 1 per phase that sum exactly to your total pitch length (and a declared totalMinutes matching it), Phase 2 getting strictly the most minutes (and at least your Phase 2 floor when you set one), and each phase carrying at least your required number of non-empty, distinct talking points, each three or more words long. It also checks your settings are in range (total 4 to 480 minutes, 1 to 20 points per phase, floor between 0 and the total). STUD does NOT verify the talking points are true, persuasive, or right for your audience, that the pitch actually fits the minutes when delivered aloud, or anything about what you are pitching: the what-you-are-pitching, audience, and offer 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.
Total Minutes
20
Phases
- Founder introduction: Dan Schmitz, the founder-operator who took STUD.com from architecture to a live pre-revenue soft launch.
- The big idea, stated once and plainly: STUD is a living system for your venture: it knows your business, does the work, and learns from every result.
- The problem behind the idea: AI can produce real knowledge work, but getting it out is still manual craft, every session starts from zero, and nothing compounds.
- Why now: the AI agents market is about $8B in 2025, growing 42 to 50 percent CAGR (cited external estimates).
- How it works: a catalog of ready-made plays replaces the blank prompt, the short intake fills itself from workspace facts, and an AI agent runs the play.
- Scale today: 265 plays across 14 playbooks, live in the soft launch.
- The secret sauce is the compounding loop: a fact stated once flows into every run, and every result lands structured, stays current, and feeds the next play.
- Inside the mechanism, every deliverable passes its play's acceptance check before it lands, which is what keeps results reliable enough to feed later runs.
- The budget side, live pricing: Standard $20 per month (500 credits), Pro $60 (1,500), Ultra $180 (5,000); a play costs 10 to 40 credits, $0.40 to $1.60.
- Unit economics: gross margin modeled at about 87 percent at launch prices (estimated, modeled 85 to 90 percent).
- Where STUD sits: buyers today choose between general-purpose AI chat, freelance marketplaces, and static documentation tools; the edge is a workspace that compounds with every run.
- The ask, labeled illustrative: a $1,000,000 pre-seed target (a planning figure, not a committed raise) to take the soft launch to paid fulfillment.
- Use of funds: open paid fulfillment on the live catalog and fund content-led acquisition through SEO, developer documentation, and launch communities.
- What investors get and what happens next: pre-seed equity, entity formation pending and scheduled ahead of close, and a decision window set before the meeting ends.
- Prize frame: STUD is choosing which pre-seed partners fit the venture; in this room capital is the commodity and the compounding workspace is the prize.
- Time frame: at 42 to 50 percent market CAGR, the compounding advantage goes to the system that accumulates a venture's facts first.
- Intrigue frame: STUD runs on itself; the materials behind this pitch were produced as plays inside STUD's own workspace.
- Hot-cognition close: the living system is already running; the open question is who is in the room when paid fulfillment opens.
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