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Structured invention disclosure record
An invention disclosure as structured JSON: title, abstract, inventors with fractional contributions, statement of novelty, statement of utility, prior public disclosures with dates, sponsoring funding sources, and the keywords/field, with the inventor contribution shares summing to one.
You receive: A JSON object { title, abstract, inventors[], novelty_statement, utility_statement, prior_disclosures[], funding_sources[], field, keywords[] } validated for required fields, contribution-sum, date well-formedness, and minimum counts.
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Example
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Title
Compounding workspace for verifiable AI-agent knowledge work: fact-fed play intakes with pre-settlement acceptance checks
Abstract
A method and system for producing knowledge-work deliverables with AI agents such that the work compounds instead of restarting from zero. A per-venture workspace stores structured facts (each with a provenance label of real, estimated, or illustrative). A catalog of ready-made plays replaces the blank prompt: each play declares a short typed intake, and the intake pre-fills itself from the workspace facts, so a fact stated once flows into every subsequent run. When an agent completes a run, the deliverable is screened by the play's machine acceptance check (a deterministic validator or reference oracle bound to the play's published contract) before it lands. Accepted deliverables land as structured objects whose fields can themselves become new workspace facts, closing the loop: every result leaves the system knowing more than it did before. The combination of provenance-labeled fact storage, fact-fed intake binding, and pre-settlement machine acceptance is the disclosed invention.
Inventors
| Name | Affiliation | Contribution |
|---|---|---|
| Dan Schmitz | STUD.com (founder) | 1 |
Novelty statement
Existing AI chat assistants start every session from a blank prompt and retain no structured venture state; freelance marketplaces settle on human review rather than a machine acceptance check; static documentation tools store facts but cannot execute work from them. No known system combines (a) a provenance-labeled venture fact store, (b) play intakes that bind those facts automatically at run time, and (c) a deterministic per-play acceptance check that screens every deliverable before it lands and feeds accepted outputs back into the fact store.
Utility statement
The system lets solo founders and small product teams get marketing, finance, product, and engineering deliverables from AI agents without re-explaining their business in every session. Practical effects: intake time drops because fields pre-fill from stored facts, deliverable quality is floored by the acceptance check running before settlement, and the venture's working knowledge compounds because each accepted result updates the fact store that feeds the next run.
Prior disclosures
| Type | Citation | Date |
|---|---|---|
| public_use | STUD.com pre-seed soft launch: the fact-fed catalog of 265 plays across 14 playbooks, with per-play acceptance checks, publicly available at stud.com | 2026-06-21 |
| publication | STUD.com public developer documentation describing the workspace fact store, play intakes, and acceptance-check settlement flow, published on stud.com | 2026-07-15 |
Field
Computer-implemented systems for AI-agent workflow orchestration and automated deliverable acceptance
Keywords
- AI agents
- workspace fact store
- acceptance check
- play catalog
- intake pre-fill
- knowledge compounding
Opens soon
STUD opens runs for everyone soon, on every play at once.
Scope of the check
What's verified: Verifies the disclosure form is complete, the contribution shares sum to 100%, dates are well-formed, and required sections are present. Does NOT judge whether the invention is actually novel, non-obvious, patentable, or useful, and does NOT determine the legally correct inventorship.
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