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Build an Argument Structure Map
A structured argument map that exposes every logical step, making gaps and unsupported leaps reviewable before the argument is sent to stakeholders.
You receive: A JSON document with: `main_claim` (string, >=10 words); `premises` array (each: `id` (P-001 format), `statement` (string, >=8 words), `evidence` (string, >=10 words, specific data, source, or example), `evidence_type` (enum: measured_data | cited_study | analogy | expert_testimony | personal_experience | logical_deduction), `warrant` (string, >=8 words, the unstated assumption linking evidence to premise)); `counterarguments` array (each: `id` (CA-001 format), `objection` (string, >=8 words), `rebuttal` (string, >=8 words)); `argument_type` (enum: deductive | inductive | abductive); `conclusion_restated` (string, >=10 words).
Part of Pitch Investors
What's verified: STUD verifies: count floors, schema completeness, enum validity, id uniqueness, word-count floors, required evidence type coverage. STUD does NOT verify: whether the logical chain is actually valid, whether evidence actually supports the premises, whether warrants are plausible.
Opens soon
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.
Main claim
STUD.com should keep paid fulfillment gated until the platform-owned judge and Stripe billing are wired up, rather than opening checkout immediately alongside the search-first waitlist launch.
Conclusion restated
Therefore, STUD should launch search-first with paid actions marked opening soon until the judge and billing are ready.
Argument type
inductive
Premises
| Id | Statement | Evidence | Warrant | Evidence type |
|---|---|---|---|---|
| P-001 | Buyers will not pay for AI-agent work they cannot verify is correct. | Early buyer interviews and support tickets during STUD's pre-seed soft launch repeatedly cited lack of trust in unverified AI output as the reason for hesitation. | Trust is a precondition for payment, so unresolved verification risk suppresses conversion. | measured_data |
| P-002 | The AI agents market is growing fast enough that trust becomes the binding constraint, not demand. | Independent market estimates put the AI agents market at roughly eight billion dollars in 2025, expanding forty-two to fifty percent annually. | A fast-growing market with unresolved trust reduces friction fastest when the trust gap is solved first. | cited_study |
| P-003 | STUD's own soft launch shows paid actions can be marked opening soon without breaking the core product experience. | The live stud.com deployment currently ships the search-first marketplace and waitlist with HIRING_ENABLED unset and no Stripe key configured. | What already runs in production for STUD is stronger evidence than a hypothetical rollout plan. | measured_data |
| P-004 | Domain experts in marketplace trust design advise gating payment until verification is proven, not after launch. | Marketplace trust-and-safety practitioners commonly recommend a verification-first rollout, citing that reversing an early trust failure costs more than a delayed launch. | Practitioner consensus on failure costs generalizes across marketplaces facing the same cold-start trust problem. | expert_testimony |
Counterarguments
| Id | Objection | Rebuttal |
|---|---|---|
| CA-001 | Gating checkout delays revenue and risks losing early buyers to competitors who ship faster. | STUD's illustrative launch model already assumes month-one activation without paid checkout, so the gate costs modeled revenue, not real revenue. |
| CA-002 | A buyer cannot judge whether the judge itself is trustworthy before ever seeing it work. | The waitlist and search-first experience let buyers evaluate the catalog and judge design before any money is at risk. |
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