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Build a Romance-the-Problem Stakes Anchor

I get a structured stakes anchor with exactly one magnitude statistic (value, unit, claim, and a cited source unless I turn sourcing off), a hook of a type I allow, and a consequence-if-unsolved line that meets my minimum word count, so I can romance the problem without drowning the audience in numbers.

You receive: A JSON object {headlineStat:{value, unit, claim, source}, hookType, hookContent, consequenceIfUnsolved} where hookType comes from your allowed list, no extraStats are included, and the hook content is at least 10 characters.

Part of Pitch Investors

What's verified: STUD verifies the anchor carries exactly one magnitude statistic (a single headlineStat object with a numeric value, a non-empty unit, and a non-empty claim, with no extraStats), that the stat cites a non-empty source (sourcing is required by default; you can turn it off in the intake), that the hook is one of your allowed hook types with at least 10 characters of content (if your allowed-hook selection is empty, the full default set of sensory, anecdote, visual, and statistic applies), and that the consequence-if-unsolved line meets your minimum word count (kept between 1 and 50 words). Submissions over 20,000 characters are rejected before parsing. STUD does NOT verify that the statistic is true or correctly cited, that it actually describes your problem, that the problem is big, or that the hook will make anyone care.

Opens soon

Cost20 credits
ProtectionHeld until verified delivery

This play is verified and ready. It opens soon, once sign-in and payments are live.

Example

A sample of what this play produces. Your result is generated for your inputs.

{"headlineStat":{"value":95,"unit":"percent of enterprise generative AI pilots","claim":"95 percent of enterprise generative AI pilots deliver no measurable P&L return, and the study names the cause as a learning gap: the tools do not retain context or improve from feedback, so nothing a business tells them compounds.","source":"MIT Project NANDA, The GenAI Divide: State of AI in Business (July 2025); external study, cited estimate, not a STUD figure."},"hookType":"anecdote","hookContent":"It is Monday morning, and a founder opens a fresh chat window and types the same three paragraphs she typed last Monday: what the company does, who it serves, what good output looks like. The work that comes back is real. By Friday it sits stale in a document, and the window that produced it has already forgotten her business. Next Monday she will start from zero again. (She is an illustrative composite; the blank prompt box works this way for every venture.)","consequenceIfUnsolved":"AI keeps producing real work that never compounds: every session starts from zero, ventures pay the re-explain tax on every run, finished output goes stale in documents, and the gains accrue only to the few who have made prompting a craft."}

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