03AI domain — Ship working AI

AI for MVPs & Digital Products

Bridge from AI opportunity or strategy to a working MVP, prototype, product brief, technical architecture, and implementation handoff.

For: Founders, innovation teams, product teams, digital leaders, and transformation teams.

Build an AI MVPBack to overview
The problem

Strategy stalls at the slide. Teams need a governed path from AI opportunity to a scoped MVP, a technical blueprint, and a handoff engineers can actually build.

Offerings

Workspaces in this domain

Each workspace shares the same governed virtual-employee layer — structured outputs, editable proposals, approvals, memory, and audit logs.

AI MVP & Prototyping Studio

Next

Prototype briefs and prompts from a validated opportunity.

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AI Product Builder

Upcoming

Shape product scope, flows, and data models.

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Custom AI Workflow Development

Upcoming

Compose bespoke, repeatable workflows across your stack.

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Technical Blueprint / Claude Code Handoff

Next

Architecture and handoffs engineers can build from.

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Production Readiness / AWS Deployment Planning

Upcoming

Validation plans and production readiness checklists.

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Your team

Dedicated virtual employees

Governed AI colleagues that run this domain — reasoning over your context, proposing outputs, and acting only with approval.

Vera

AI Product Builder

Scopes MVPs, designs workflows, and produces technical handoffs.

Example workflow

How a typical engagement flows

  1. 01
    Select MVP opportunityPick a validated opportunity from strategy or discovery.
  2. 02
    Scope the use caseCapture intake, workflow map, and data model.
  3. 03
    Create prototype & handoffGenerate prototype prompts and a Claude Code handoff.
  4. 04
    Plan production readinessValidation plan and AWS deployment readiness checklist.
Outputs

What you walk away with

  • AI MVP brief
  • Use case intake
  • Workflow map
  • Prototype prompt
  • Agent / tool orchestration plan
  • Data model
  • Technical blueprint
  • Claude Code handoff
  • Validation plan
  • Production readiness checklist

Ready to start in AI for MVPs & Digital Products?

Spin up the workspace and let your virtual employees do the first draft — you stay in control with approvals.

Build an AI MVP
Connected platform

Explore the other AI domains

Start anywhere — outputs flow between domains, all running on the same governed virtual-employee layer.

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The execution layerGoverned Virtual Employees