Your idea becomes a written spec
VrittOS asks the questions a good product manager would, then writes a business requirements document you can read, edit and approve. The plan exists before any code does.
Prompt-to-app builders are excellent at getting something on screen in an afternoon. VrittOS is built for what comes after: a real backlog, code in your own GitHub repository, tests, and a pull request you approve before anything ships.
Founding offer 50% off your first 3 months — ends 31 October 2026
VrittOS asks the questions a good product manager would, then writes a business requirements document you can read, edit and approve. The plan exists before any code does.
Epics and user stories with acceptance criteria, dependencies and estimates — not a single monolithic generation. Complex apps stay manageable because they are broken into pieces that can be reviewed one at a time.
An agent implements one story on a feature branch in your repository, runs the build and the tests, and opens a PR. Nothing is pushed to main. You review the diff like any other contribution.
Later stories are written against the architecture already in your repo. When CI goes red, the failure is triaged and you are offered plain-language fixes rather than a stack trace.
The difference between a prototype and an application is rarely the first screen. It is everything that has to stay true on the fiftieth change.
Everything lands in a GitHub repo you own, with normal branches and pull requests. You can hand it to a developer, audit it, or walk away with it at any point.
A multi-feature product is delivered story by story, each with acceptance criteria. That is what makes a large build reviewable instead of a single opaque generation.
The build and test suite run before a pull request opens. A red CI on your main branch pauses new work rather than stacking changes on a broken foundation.
Stories sync to Jira, so the work is visible to a team that already has a process — useful the moment you are not the only person involved.
This is a difference of purpose, not of quality. Pick the one that matches the thing you are building.
| Prompt-to-app builders | VrittOS | |
|---|---|---|
| Optimised for | Getting a working screen in front of you as fast as possible — ideal for prototypes, landing pages and single-purpose tools. | Delivering a multi-feature application over weeks and months, in a form a developer could take over tomorrow. |
| How work is broken down | You describe what you want and iterate on the result conversationally. | A written BRD, then epics and user stories with acceptance criteria, each implemented and reviewed on its own. |
| Where the code lives | Inside the product, with export available. | In your own GitHub repository from the first commit, with normal branches and pull requests. |
| Review | You look at the running app. | You approve the requirements, then review each change as a pull request with its tests and CI results. |
| Best when | You want to see something real today. | You are building something that has to keep working after the fiftieth change. |
The prototype took an afternoon. Turning it into something we could actually maintain was the hard part — that is the part VrittOS does.
Product lead
Early VrittOS customer
Not exactly — they are good at different things. If you want a working screen this afternoon, a prompt-to-app builder is hard to beat. VrittOS is for applications with many features, real requirements and a life beyond the prototype, where the work needs to be broken into reviewable pieces and live in your own repository.
Yes. Everything is committed to a GitHub repository you own, as ordinary branches and pull requests. There is no lock-in: you can hand the repo to a developer or continue without VrittOS at any time.
No. You approve requirements, designs and pull requests in plain language, and the AI handles the implementation. Technical detail is available if you want it, and stays out of the way if you do not.
Yes — connect an existing GitHub repository and VrittOS reads the codebase before planning, so new stories are written against the architecture that is already there.
A team of specialised AI agents runs your delivery pipeline — you keep every decision that matters.
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