AI-powered products, built and handed over.

Teams needed working product surfaces before a normal development cycle could make an idea concrete enough to test.

We built a workflow that captures the product brief, prepares a secure workspace, generates the application and packages the result.

Client-reported at launch: 100 weekly active users. Teams could move from a prompt to a reviewable preview and deployable application in one workflow.

Manual property matching made relevance and trust difficult to manage. Automation also had to protect contact details until both parties wanted an introduction.

We built a service that verifies CEA details, checks relevance and safety, scores matches and asks both parties to confirm before sharing contact links.

The working prototype shows a controlled matching flow with clear checks, admin records and double opt-in before contact details are shared.

The team needed a practical internal surface for a defined workflow, not a broad platform replacement. Keeping the scope narrow made the operator actions concrete.

We scoped the workflow and designed the proposed operator-facing application.

The scoped concept includes the workflow specification and operator-interface design, ready for implementation review.

The concept needed to become concrete enough to test before committing to a larger product build.

We used our internal app-generation workflow to produce the frontend, then reviewed the copy, pacing, interactions, and visual flow.

The result gave the team a reviewable product experience before committing to a larger build.