# AI that designs APIs with you, without uploading your spec to anyone

AI in API tooling usually comes with a quiet trade: your requests, your schemas and your company's API designs get uploaded to the vendor's cloud, parsed on their servers, and sometimes used to train the next model. For early-stage products and internal APIs alike, that is a non-starter.

Powerduck's approach is different: **AI works across the entire API lifecycle, while the local file stays the source of truth.**

## Where AI actually helps in an API lifecycle

Not a chat bolted onto the sidebar — AI that reads and writes the same document you do:

-   **Design:** describe a resource in plain language and get a proposed operation with schemas, status codes and examples.
-   **Import and triage:** paste a cURL command or a Postman collection and let AI normalize it into clean, consistent OpenAPI.
-   **Test generation:** turn an operation into scenarios, assertions and edge cases, including the unhappy paths people forget.
-   **Debugging:** hand a failed response or a confusing error to the assistant and get a grounded explanation that references *your* spec, not generic advice.
-   **Refinement:** tell a proposal "use ISO 4217 currency codes" or "split billing address into its own schema" and watch the plan update before anything is applied.

## Plan, review, apply, revert

AI never edits your file by stealth. Every proposal appears as a plan with the affected operations marked. Applying a proposal creates a revision with a full diff, and any revision can be reverted. Your manual edits are preserved: proposals are patches against the current document, not regenerations that overwrite your work.

That review-and-revert loop is what makes AI safe to use on a spec you care about. You stay the author.

## Your model, your terms

Model choice is yours:

-   **Bring your own provider** — configure any OpenAI-compatible endpoint, including self-hosted models, and your traffic goes directly there.
-   **Powerduck model packs** — a zero-config option for teams that want AI without managing API keys, metered as resource packs from the console.

When Powerduck's hosted model is selected, requests go through a thin relay with a fixed product system prompt; every other provider is called directly from your machine.

## No account on your own machine

The desktop application is local-first by design. There is no login wall to open your own files, no telemetry-gated workbench, and no requirement to put your specs in someone else's repository. The browser demo asks you to sign in only because shared cloud resources need per-account rate limits — the downloadable client needs nothing of the sort: configure your own model (or none) and work offline.

## Try it on real input

Grab the messiest cURL command from your team's chat, drop it into a fresh spec, and ask the assistant to turn it into a documented, tested operation. Review the plan, apply it, revert it, apply it again — and notice that at no point did the file leave your machine.

One local OpenAPI spec, an AI-native workspace around it. [Start with your own API.](https://www.powerduck.com/?ref=powerduck.com)