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tessl-labs/intent-integrity-kit

Closing the intent-to-code chasm - specification-driven development with BDD verification chain

86

1.82x
Quality

92%

Does it follow best practices?

Impact

86%

1.82x

Average score across 14 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Overview
Quality
Evals
Security
Files

task.mdevals/scenario-14/

Project Governance Document for a Healthcare Data Platform

Problem/Feature Description

A healthcare startup is building a HIPAA-compliant data analytics platform for hospital networks. The founding engineering team has been informally following some practices, but as they scale to 15 engineers, they need a formal governance document that all team members and AI coding assistants will follow. This document will serve as the authoritative source of non-negotiable development standards.

The CTO wants the document to capture the team's non-negotiable development standards.

Output Specification

Produce a CONSTITUTION.md file at the project root, update .specify/context.json with any derived configuration, and write a brief constitution-report.md.

Input Files

The following files are provided as inputs. Extract them before beginning.

=============== FILE: PREMISE.md ===============

Project Premise

What

A cloud-based analytics platform that ingests, processes, and visualizes de-identified patient data for hospital networks to improve clinical outcomes and operational efficiency.

Who

Primary users are clinical data analysts and hospital administrators at mid-to-large hospital networks (500+ beds). Secondary users are compliance officers who need audit trails.

Why

Hospital networks struggle with fragmented data across dozens of systems (EHR, billing, scheduling). Analysts spend 70% of their time on data collection and cleaning instead of insights. There is no HIPAA-compliant SaaS solution that handles the full pipeline from ingestion to visualization at the required scale.

Domain

Healthcare IT, clinical analytics, HIPAA compliance

Scope

Ingestion layer (HL7/FHIR adapters), data lake storage, anonymization pipeline, analytics query engine, dashboard visualization. Excludes EHR systems themselves and any direct patient interaction.

=============== FILE: .specify/context.json =============== {}

evals

README.md

tile.json