AI & Agents · Est. $15k – $25k
Agntive

Web ai & agents product delivered by Coralsoft

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

WebNext.jsReactTypeScript
agntive.example / dashboard
Agntive — product interface
The situation

What was in place before we started.

The client needed a focused product for operators deploying AI workflows. The first release needed an agent configuration flow, tool connections, and human approval checkpoints, while managing unpredictable model output. Coralsoft designed and delivered the 20-week MVP from discovery through release.

The client needed a focused product for operators deploying AI workflows. The first release needed an agent configuration flow, tool connections, and human approval checkpoints, 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

Agntive: a focused product delivered from discovery to release

01

Challenge

The client needed a focused product for operators deploying AI workflows. The first release needed an agent configuration flow, tool connections, and human approval checkpoints, while managing unpredictable model output.

02

How we built it

We mapped the core journey and data model first, then delivered an agent configuration flow as a working vertical slice. The next iteration added tool connections and human approval checkpoints, 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 operators deploying AI workflows 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 an agent configuration flow as a working vertical slice. The next iteration added tool connections and human approval checkpoints, 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

How the system fits together.

3 of 3 views
agntive.example
Agntive — product screenshot
agntive.example
Agntive — product screenshot
agntive.example
Agntive — product screenshot
Roadmap

Estimated delivery sequence.

5 months
Weeks 1–2

Discovery & architecture

Coralsoft scoped an agent configuration flow and define the data model.

  • Scope an agent configuration flow and define the data model
Weeks 3–14

Core build

The team built an agent configuration flow, tool connections, and human approval checkpoints.

  • Build an agent configuration flow, tool connections, and human approval checkpoints
Weeks 15–20

Hardening, QA & handover

Coralsoft completed integration checks, QA, and release handoff.

  • Integration checks, QA, and release handoff

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