App Store Connect,In Plain English.
An agentic co-pilot for iOS developers: manage metadata, respond to reviews and trigger releases by describing what you want. An agent sits in front of the App Store Connect API, plans the steps, calls the right endpoints in sequence and confirms.
The Actual Interface.
App Store Connect Is Powerful And Miserable To Use.
Every release means hunting through tabs. Metadata lives in one place, localisations in another, reviews in a third, submission status in a fourth. The work is not hard, it is just spread across a console that makes a five-minute change take an afternoon.
Ascend sits in front of that console with an AI agent that has direct tool access to the API. The developer types what they want, the agent plans the steps, calls the right APIs in sequence, and confirms.
A Tool-Using Agent With Full App Store Access.
Multi-step agent execution. Ascend is built on a tool-using agent loop. The agent receives the developer's request, breaks it into a sequence of API calls, executes each tool in order, handles errors mid-chain, and confirms the outcome.
Full App Store Connect API coverage. Fetch metadata, update localisations across all 39 App Store locales, read and respond to user reviews, check submission status, trigger a release, pull a crash analytics summary. Every operation the developer does manually is now a tool call.
Convex live state. The Convex backend syncs App Store metadata state to the Ascend UI in real time. When the agent updates a localisation or triggers a release, the dashboard reflects the change immediately, with no polling and no refresh.
Review responses. User reviews are read from the App Store Connect API. The agent drafts responses in the app's tone, the developer reviews and sends with one click. Response rate goes up, manual drafting time goes to zero.
The Agent Plans Before It Acts.
Planning. "Update the What's New text for v2.1 to mention dark mode and submit for review" becomes a sequence: fetch current metadata, update What's New for each locale, check submission readiness, submit.
Graceful recovery. If a locale is missing a required localisation, the agent does not fail. It generates the missing translation, fills the gap, and continues. Errors surface as decisions, not crashes. The chain completes or explains clearly why it cannot.
One model, the right jobs. A single language model handles all reasoning, tool selection and copy generation, including review response drafting and localisation generation. The agent loop manages tool use, the context window and the confirmation flow.
- Tool-using AI agent
- App Store Connect API
- Convex
- React
Let’s Build What’s Next.
Bring the business problem. We’ll talk through what would make a difference and where to start.