Craft: Docs, Tasks & AI — Mobile ai & agents product delivered by Coralsoft

AI & Agents · Est. $15k – $25k

Craft: Docs, Tasks & AI

Mobile ai & agents product delivered by Coralsoft

Coralsoft designed, built and shipped this product for the client.

MobileReact NativeExpoTypeScript

Craft: Docs, Tasks & AI — product interface

The situation

What was in place before we started.

The client needed a focused product for knowledge workers. The first release needed structured documents, task capture, and AI-assisted summaries, while managing unpredictable model output. Coralsoft designed and delivered the 16-week MVP from discovery through release.

The client needed a focused product for knowledge workers. The first release needed structured documents, task capture, and AI-assisted summaries, while managing unpredictable model output.

Coralsoft owned product shaping, engineering, QA, and release across a 16-week engagement.

Constraint

Turn the core customer journey into a dependable first release without overbuilding the product.

Estimated Timeline: 4 months
Estimated Team: 4 people
Estimated Budget: $15k – $25k
Platforms: 1

Estimated stack

React NativeExpoTypeScriptNode.jsPostgreSQLOpenAI API

Delivery story

Craft: Docs, Tasks & AI: a focused product delivered from discovery to release

Challenge

The client needed a focused product for knowledge workers. The first release needed structured documents, task capture, and AI-assisted summaries, while managing unpredictable model output.

How we built it

We mapped the core journey and data model first, then delivered structured documents as a working vertical slice. The next iteration added task capture and AI-assisted summaries, with authentication, validation, loading and failure states designed into each flow. A mobile-first TypeScript build using React Native, Expo, TypeScript, Node.js kept the interface and service contracts consistent; the final weeks focused on QA, accessibility, and release preparation.

Delivery

The delivered 16-week MVP let knowledge workers complete the core journey without relying on disconnected tools. It provided a small, maintainable foundation for testing demand and prioritising the next release.