ITNeuroNet
TodaiHealth

Spec-driven health-tech platform delivery with deep architecture and documentation

TodaiHealth demonstrates how detailed product and technical documentation can become an accelerator for AI-assisted implementation.

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Why it mattered

The project needed structured architecture, clear domain boundaries, API contracts, data models, and enough documentation for AI-assisted implementation to preserve the intended system design.

What ITNeuroNet did

The work followed a specification-first path: architecture and product documentation first, then contract-driven implementation, followed by stabilization through tests, integration checks, and frontend work.

Architecture / delivery pattern

The patterns that shaped this system

  • 01

    Specification-first delivery

  • 02

    Microservice decomposition

  • 03

    Contract-driven implementation

  • 04

    AI-assisted implementation under senior architecture

Public scale signals

What the system looks like from the outside

  • 18 microservices delivered after the specification phase
  • 49 OpenAPI specifications
  • 615 API operations
  • 652 data schemas
  • 147 database tables
  • 1,200+ Markdown files in documentation
  • 436,000+ lines of documentation
What it proves

Healthcare-aware architecture, documentation depth, contract-first planning, microservice decomposition, and fast AI-assisted implementation after a detailed specification phase.

The case shows how architecture, API planning, data modeling, and documentation can make AI-assisted delivery faster and more controlled instead of chaotic.

Relevance to future clients

Useful for founders and health-tech teams that need to validate, plan, or build a complex MVP without losing architectural discipline.

What this made faster
  • 01Time from documented scope to first reviewable architecture
  • 02Onboarding new contributors via the documentation layer
  • 03AI-assisted implementation cycles against fixed contracts
Quality / safety controls
  • 01Contract-first APIs with 49 OpenAPI specifications
  • 02Documented architecture decisions reviewable per change
  • 03Test-aware delivery under senior architectural review
Related trendAI-native time to market
Relevant services

Engagements where this case applies

Public safety note

Sensitive implementation details are omitted from the public version. Deeper technical breakdowns may be discussed during discovery where appropriate.

Next step

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