Clarity first
The work starts by finding what the person means. A prompt is not yet a specification.
OuroborosOuroboros roadmap
Ouroboros is building one way to turn a conversation into work that can be specified, checked, and used again. This page shows the product path, the work now under way, and the conditions that must be met before later products are opened.
The product is not a feature for one model or one app. It is the working loop that remains when the model, runtime, and channel change.
The work starts by finding what the person means. A prompt is not yet a specification.
A result has to meet declared criteria. Looking plausible is not a verification method.
The next run should not begin from a blank page. It should inherit the useful parts of the last one.
Five stages turn intent into work that can be checked and used again. Each stage leaves something the next run can inherit.
The early market is defined by a work situation, not by age or job title. The common thread is that the person has context worth carrying forward and an outcome that cannot stop at a plausible draft.
Owners and operators who already spend time or money handing work to an assistant, a colleague, or an outside specialist.
Advisors and service providers whose replies, documents, and decisions keep taking time away from the work they are paid to do.
People who have tried many tools but still need work that survives a second pass and can be used again.
The sequence begins with access, moves to repeated use, and only then opens managed and enterprise delivery.
Keep the specification, evaluation, and lineage workflow open and useful across supported runtimes.
Give people a practical way to start the Ouroboros loop from tools they already use, beginning with ChatGPT desktop.
Test whether people can turn their own material and working context into a personal system for recurring work.
Help early users discover their intent, set up the first workflows, and tune them through ordinary use.
Add always-on operation, data boundaries, approvals, audit records, or service commitments when customers show that they need them.
The product stays the same while access, service, and governance become broader.
| Horizon | Product form | User outcome | What opens the next horizon |
|---|---|---|---|
| Open foundation | Core workflow across supported runtimes | A specification and evaluation record that survives a tool change | Reliable public entry points |
| Everyday use | Desktop and hosted entry | A completed task without rebuilding context on the next run | Repeated use and willingness to pay |
| Managed service | Concierge setup and tuning | Useful workflows without learning another tool stack | A repeatable delivery method and known service cost |
| Governed delivery | Cloud and enterprise options | Continuity, control, and records suited to the customer environment | Portable workflows that work across customers |
| Workflow distribution | Marketplace | Reusable workflows shared or sold beyond their original context | Proved portability and sustainable distribution |
The later paths are delivery choices, not separate identities for the product. Each one earns its place by answering a specific user need.
A person helps discover the intent, turns it into a working setup, and tunes it with the user. It matters first because early workflows do not yet exist on their own.
GateA managed always-on path is only useful if people need their work to continue while their own computer is off, and are willing to pay for that continuity.
GateThe same workflow may later be delivered where data boundaries, approvals, audit records, self-hosting, or service commitments matter. That is not a v0 promise.
GateA workflow can only be sold or shared when it works beyond the person whose context created it. That portability has not been proved.
GateOuroboros already works across multiple runtimes. ChatGPT is one public entry point. Kiro, Claude Code, Codex, Gemini, Copilot CLI and other supported environments are places where the same specification and evaluation discipline can travel. None of them define the product on their own.
The first proof is a completed piece of work for a user. Revenue and distribution come after that. Targets follow observed baselines, not the other way around.
The specification is fully handled and the result passes its checks.
A later run does not break what the earlier run completed.
The next run uses the prior Seed or workflow without making the person explain the context and procedure again.
The amount of agreed manual work the system actually takes over.
Whether people are approving expected steps or rebuilding the work from scratch each time.
Whether runtime, support, and maintenance cost can be traced back to each workflow.