Prose programs are Markdown contracts agents can run

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OpenProse - Author Outcomes<br>GitHub1.2k<br>AuthorOutcomes.<br>Write the future as a Markdown contract agents can run, review, and maintain.<br>Work emailRequest Access<br>Have something you wish an agent would just handle? Send us a sentence.<br>Prefer to talk it through? Book time on Calendly.

install the skillMIT License<br>$ npx skills add openprose/prose<br>-- open claude code / codex / amp --<br>$ prose --helpGitHub1.2k Docs

PUBLIC OUTCOMES<br>Live outcomes you can inspect; hosted watch and fork workflows are waitlisted.

Live backendGET /outcomes returned no public outcomes.<br>https://api.openprose.ai/outcomes

ALL0LIVE0RAMPING UP0FAILING0PAUSED0ARCHIVED0<br>STATUSTITLE / METALATEST TRUTHUPTIME$ / MOACCESS<br>No public outcomes from this source. The backend returned an empty public catalog.

ReactionsWhat builders are saying.<br>Early notes from people trying prose.md, skills, and agent-readable workflows.

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$ prose run testimonials.prose.md --since=launch

What can I write?Prose programs are Markdown contracts agents can run.<br>Each file names the work, declares what the agent needs, and states what must be true when the run finishes. Keep one responsibility current or compose several into a larger workflow.

responsibilityQualify GitHub stargazers<br>Review new stargazers, enrich public context, draft thoughtful outreach, and leave final send decisions to a human owner.

name: high-intent-stargazer-outreach<br>kind: responsibility

# High-Intent Stargazer Outreach

### Goal<br>High-intent GitHub stargazers are identified, enriched, qualified, and<br>prepared for thoughtful OpenProse outreach.

### Criteria<br>- Qualification includes public GitHub activity, repository context, and<br>plausible OpenProse pain.<br>- Recommended outreach names a specific workflow the person could reuse.<br>- Leave final send decisions to a human owner.

### Fulfillment<br>Prefer the local `stargazer-outreach` system.$ prose run high-intent-stargazer-outreach.prose.md

responsibilityKeep release readiness current<br>Reconcile CI, merged changes, migration notes, docs, and owner overrides into an evidence-backed ship or hold decision.

name: release-candidate-ready<br>kind: responsibility

# Release Candidate Ready

### Goal<br>The current release candidate has an evidence-backed readiness decision that a<br>release owner can trust before shipping.

### Continuity<br>- Reconcile readiness when CI, merged changes, migration notes, docs, known<br>risks, or owner overrides change.<br>- Preserve enough decision history for rollback, handoff, and the next release<br>retrospective.

### Fulfillment<br>Prefer the local `release-readiness` system.$ prose run release-candidate-ready.prose.md

responsibilitySurface customer risk early<br>Review product usage, support history, commercial context, and owner notes before churn or renewal windows become urgent.

name: customer-risk-maintained<br>kind: responsibility

# Customer Risk Maintained

### Goal<br>Customer risk is visible early enough that account owners can intervene before<br>churn or renewal windows become urgent.

### Criteria<br>- Each risk brief combines product usage, support history, commercial context,<br>stakeholder movement, and owner notes when those signals are available.<br>- Risk levels include cited evidence, confidence, trend, and next action.

### Fulfillment<br>Prefer the local `risk-radar` system.$ prose run customer-risk-maintained.prose.md

Built by the buildersOpenProse runs on OpenProse.<br>Our marketing, GTM, enrichment, and community operations are maintained responsibilities. The same contract surface we ask you to trust is the one keeping our own company awake.<br>See how we run our company<br>mention-intelligencecompetitor-intelligenceopportunity-discoveryengagement-draftingagent-ecosystem-indexsaas-readiness-indexagents-site-analyticsperson-enrichmentcompany-enrichmentlead-enrichmentprogram-designercustomer-repo-scaffolderstargazer-intake

FAQCommon questions

What is OpenProse?<br>OpenProse is a programming language for AI sessions. Programs are Markdown files with requires/ensures contracts that define what services need and produce. Forme, our intelligent dependency injection system, auto-wires services by contract matching. The model+harness is the runtime — the AI session itself executes the program.

How is this a VM?<br>LLMs are simulators — when given a detailed system description, they don't just describe it, they simulate it. The prose.md spec describes a VM with enough fidelity that reading it induces simulation. But simulation with sufficient fidelity is implementation: each session spawns a real subagent, outputs are real artifacts. The simulation is the execution.

How is the managed cloud different from the open-source version?<br>The open source version is the language: install as a skill, write .md programs, run them in Claude Code, Codex, OpenCode, Amp, or any "Prose Complete" harness. Free, MIT-licensed. The...

prose openprose release risk outcomes outreach

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