Keep the useful parts
Start with your repository, screens, content, and working flows. The agent uses the app you already have as the starting point and preserves the behavior you want to keep.
KEEP THE IDEA. IMPROVE THE APP.
You got the idea onto a screen. Now the save button needs to save, accounts need the right access, and the next feature should be easier to add. Bring your app to Redgold and put coding agents and shared infrastructure to work on the parts that keep letting you down.
Start with your repository, screens, content, and working flows. The agent uses the app you already have as the starting point and preserves the behavior you want to keep.
Move suitable app workflows onto Redgold’s engine for stored records, scoped access, pipeline execution, and managed deployment. Shared services reduce the infrastructure each app needs to maintain.
Keep the code, task history, and working checks together. Ask for the next feature in the same project, with the earlier fixes available to inspect and check again.
A prototype can look convincing while a submitted form disappears after refresh or a dashboard still reads hardcoded sample records. Give an agent the broken journey and the result you expected. It can trace the screen through the request and stored data, repair the missing pieces, and check the result in the deployed app.
For example, a quote-request app can keep its existing form and branding while its submission path becomes a stored request, a staff queue, and a status the customer can return to. Each part has an observable result.
| What you have | What the conversion adds |
|---|---|
| A form that shows a success message | A saved request that the customer and authorized staff can retrieve. |
| Sample rows in a dashboard | A view over stored requests with defined status and ownership. |
| A fix that breaks on the next change | A regression check carried forward with the project. |
| A deployment you check by opening the homepage | Verification of the complete submission and retrieval workflow. |
Follow one request from the form to a stored record and back to the signed-in user. A success message alone is not evidence that a save worked. Use the following acceptance checklist with your own repository; it is an illustrative repair procedure, not a completed customer case study.
| Action | Expected evidence |
|---|---|
| Submit a quote request as customer A | The response identifies the saved record; the staff queue shows that same request. |
| Reload, then sign out and back in as A | The request and its status are still retrievable. |
| Try listing or opening the request as customer B | The server denies access or omits the record, including direct API requests. |
| Interrupt a submission and retry it | The interface reports the failure; retry behavior avoids duplicate requests under the agreed contract. |
| Deploy the repair and repeat the workflow | A recorded check identifies the release and verifies submission, retrieval, and access on that release. |
A working save and a correct permission check are the beginning. Before accepting real customer data, agree on backup and restore, server-side credential storage, usage limits, and who will notice a failed background job. Ask for evidence from your actual environment.
Redgold operates storage, scoped data access, routing, application execution, and deployment as a shared platform. For a migrated workflow, the agent can build against those established boundaries instead of assembling a separate service stack for every feature.
The Fusion API also works with Claude Code, Codex, and other compatible harnesses through their existing API settings. Keep your familiar tools and workflow while Fusion handles model requests behind the scenes. The infrastructure runs the application; the agent keeps working on its behavior as your requirements change.
Once the core app works, connect it to the things that make it useful: a customer dataset, a refreshed source, or a background calculation. Redgold’s datasets and crawler infrastructure provide building blocks for collecting records and feeding them into application workflows.
A research prototype could become a source-backed watchlist. A static directory could gain refreshed listings and saved searches. Choose the sources and update behavior for your app; their connections and dataset access are configured as part of the managed setup.
A useful repair leaves evidence: saved records survive a refresh, users see the right records, failed requests show a useful state, and the fixed workflow still works after a release. Checks against those behaviors help catch regressions as the app grows.
Start with the workflow causing the most trouble. Repair and verify it, then carry that foundation into the next feature. You get a working release to build on and a project an agent can continue improving.
Choose which parts you want to build and operate yourself. These guides explain the differences and the current preview boundaries.