Description
Ship the AI feature without the expensive rework
Requirements, user journeys, architecture, contracts, and safety cases written to be implementation-ready — so your developers build it once.
Requirements written by people who had to build them
Four decades in the web development supply chain means we have been on the receiving end of a vague spec more times than we care to count. This studio interrogates your idea now so your developers build it once.
Plan AI applications from concept through launch
Emerald AI App Requirements & Launch Studio creates professional implementation specifications without pretending to deploy code or infrastructure.
Included workflows
- Product vision, audience, jobs-to-be-done, scope, metrics, and acceptance criteria
- User journeys, states, permissions, accessibility, empty/error paths, and escalation
- AI behavior, data, API, integration, security, privacy, audit, and retention contracts
- Architecture options, component boundaries, build-versus-buy, observability, and failure modes
- Testing, backlog, release criteria, rollout, migration, rollback, incidents, support, and change control
- Packaging, entitlement, usage limits, onboarding, disclosures, store listing, and launch experiments
Access and limits
One-time $49 purchase; no recurring subscription. Current limits are 20 requests and 50,000 AI tokens per UTC day, with a maximum of 6 requests per minute. Service-wide safety and cost controls may pause requests.
The application uses read-only content context. It cannot create, execute, configure, publish, or deploy code, databases, repositories, infrastructure, accounts, APIs, websites, or external services.
Replaces a discovery sprint and the rework that follows a vague spec.
Built for volume — Enterprise
- 500 messages per day
- 1,500,000 tokens per day
- 30 requests per minute
- 24,000-character inputs and 80-message memory
- Dedicated support


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