Build · Transform · Writing & Content
What / So What / Now What message pack
A message pack with at least your minimum number of messages, covering every scenario label you name with no label repeated, each message naming its audience and segmented into What (facts), So What (implications and relevance to the audience), and Now What (a call to action using one of your approved verbs, plus a next step), with every What facts field kept at or under your word cap.
You receive: A JSON object: { messages: [ { scenario_label, audience, what: {facts}, so_what: {implications, relevance_to_audience}, now_what: {call_to_action, cta_verb, next_step} } ] }
Part of Pitch Investors
Example
A sample of what this play produces. Your result is generated for your inputs.
Messages
- Scenario label
- intro
- Audience
- Solo and early-stage founders and small product teams
- What
- Facts
- STUD is a living system for your venture: it knows your business, does the work, and learns from every result. The catalog holds 265 plays across 14 playbooks, and the soft launch is live now.
- So what
- Implications
- A fact stated once reaches every play you run, results land structured and stay current, and each run leaves the system knowing more about your venture than it did before. The work compounds instead of starting from zero each session, and every deliverable passes its play's acceptance check before it counts.
- Relevance to audience
- You need marketing, finance, product, and engineering work done while staying small. The catalog covers those lanes from a short intake that fills itself from your workspace facts, so the first run costs minutes, and the tenth run already knows your business.
- Now what
- Call to action
- Register at stud.com and run your first play from the live catalog this week.
- Cta verb
- register
- Next step
- Pick one play, let the intake fill from your workspace facts, and read the deliverable it returns the same day.
- Scenario label
- feedback
- Audience
- First-cohort buyers from the STUD soft launch
- What
- Facts
- You were among the first buyers in the STUD soft launch. Since your first run, the catalog has grown to 265 plays across 14 playbooks, and results now land structured in your workspace and feed later runs.
- So what
- Implications
- STUD learns from every result by design, and the catalog should learn from you the same way: what you report now decides which playbooks deepen in the next authoring pass.
- Relevance to audience
- Ten minutes of your read on the first runs shapes the plays you will commission weekly, so the system bends toward your actual workload rather than our guess at it.
- Now what
- Call to action
- Reply to this note with the one play that earned a place in your week and the one that fell short.
- Cta verb
- reply
- Next step
- We fold every answer into the next catalog pass and send you a short note on what changed.
- Scenario label
- pitch
- Audience
- Pre-seed investors evaluating AI-agent platforms
- What
- Facts
- STUD.com is a living system for ventures: 265 ready-made plays across 14 playbooks, prepaid packs from $20, most plays $20, soft launch live, pre-seed. The AI agents market is about $8B, growing 42 to 50 percent a year.
- So what
- Implications
- Every run adds structured knowledge to a buyer's workspace, so the product grows more valuable with use and retention rides that compounding. Supply is authored plays, so the catalog scales on editorial cadence, and the acceptance check on every deliverable keeps quality a property of the system.
- Relevance to audience
- At pre-seed you can inspect the live catalog and watch a run land before committing, and the market growth figure is cited external data. Founder Dan Schmitz operates the venture today.
- Now what
- Call to action
- Schedule a 30 minute walkthrough with founder Dan Schmitz and watch a live run land in the workspace.
- Cta verb
- schedule
- Next step
- We send a short agenda and workspace access ahead of the call.
Opens soon
STUD opens runs for everyone soon, on every play at once.
Scope of the check
What's verified: STUD verifies that the deliverable parses as a JSON message pack, that it contains at least your minimum number of messages, that every scenario label you name is covered and no scenario label repeats, that every message names a non-empty audience and fills all five three-part fields (What facts, So What implications and relevance to the audience, Now What call to action and next step) with non-empty text, that each message's call-to-action verb comes from your allowed list and appears word for word in the call-to-action text, and that each What facts field stays at or under your word cap. STUD does NOT check that the facts are accurate or match the source material you provide, that the implications actually follow from the facts or will persuade anyone, that the tone fits each scenario and audience, or that anyone will act on the call to action.
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