Adaptive — Web ai & agents product delivered by Coralsoft

The situation

What was in place before we started.

The client needed a focused product for teams using AI at work. The first release needed a task-oriented assistant, reviewable AI output, and workspace permissions, while managing unpredictable model output. Coralsoft designed and delivered the 20-week MVP from discovery through release.

The client needed a focused product for teams using AI at work. The first release needed a task-oriented assistant, reviewable AI output, and workspace permissions, while managing unpredictable model output.

Coralsoft owned product shaping, engineering, QA, and release across a 20-week engagement.

Constraint

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

Estimated Timeline: 5 months
Estimated Team: 4 people
Estimated Budget: $15k – $25k
Platforms: 1

Estimated stack

Next.jsReactTypeScriptNode.jsPostgreSQLOpenAI API

Delivery story

Adaptive: a focused product delivered from discovery to release

01

Challenge

The client needed a focused product for teams using AI at work. The first release needed a task-oriented assistant, reviewable AI output, and workspace permissions, while managing unpredictable model output.

02

How we built it

We mapped the core journey and data model first, then delivered a task-oriented assistant as a working vertical slice. The next iteration added reviewable AI output and workspace permissions, with authentication, validation, loading and failure states designed into each flow. A web-first TypeScript build using Next.js, React, TypeScript, Node.js kept the interface and service contracts consistent; the final weeks focused on QA, accessibility, and release preparation.

03

Delivery

The delivered 20-week MVP let teams using AI at work complete the core journey without relying on disconnected tools. It provided a small, maintainable foundation for testing demand and prioritising the next release.

Coralsoft turned the product brief into a maintainable 20-week MVP.

Challenges

Each constraint, and what we did about it.

Constraint

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

What we did

We mapped the core journey and data model first, then delivered a task-oriented assistant as a working vertical slice. The next iteration added reviewable AI output and workspace permissions, with authentication, validation, loading and failure states designed into each flow. A web-first TypeScript build using Next.js, React, TypeScript, Node.js kept the interface and service contracts consistent; the final weeks focused on QA, accessibility, and release preparation.

Showcase