The contract: Go types, JSON Schemas, and an embedded library of 24 default product-development workflows (configurations, templates, evaluation rubrics) spanning Amazon Working Backwards, Google Design Docs, Lean Startup, Shape Up, JTBD, V2MOM, and more
The engine: CLI, MCP server, and importable Go SDK that executes workflows — project scaffolding, LLM synthesis, LLM-as-Judge evaluation, lint, drift detection, and export to execution targets
Multi-domain specification orchestration for humans and AI agents. VisionSpec bridges the gap between organizational intent and executable specifications for AI coding agents. It implements Amazon'…
Machine-readable specifications for maturity models and capability frameworks. These JSON definitions are consumed by PRISM for visualization and tracking.
An AI-native, spec-driven way to capture, measure, and report on a Theory of Change: a Go-first data model with generated JSON Schema, plus an SDK, the theoryofchange CLI, and an MCP server.
Consulting Engagement Spec is a structured format from ProductBuildersHQ for consulting agreements: proposals and statements of work. You write the agreement once, in YAML or JSON. Tools check it, and render it to Markdown, DOCX, or a PDF the parties sign.
Product Delivery Control Plane — the canonical, queryable store for cross-repository initiatives, per-repo Roadmap Items (RMIs), lease-based work assignments, and delivery evidence.
SCALE is a machine-readable framework for telling the platform story: how engineering best practices are Standardized, Consumed, Automated, Leveraged, and made Effective across an organization.
Multi-domain specification orchestration for humans and AI agents. VisionSpec bridges the gap between organizational intent and executable specifications for AI coding agents. It implements Amazon's Working Backwards methodology to ensure every requirement traces back to a specific customer outcome.
PDLC is the ProductBuildersHQ specification for the product development lifecycle: the stages, deliverables, canonical repository layout, quality gates, and the formal handoff from the product person (product manager / product owner) to the builder person (engineer / AI coding agent).
COMPASS RICE extends RICE with normalized investment profiles for Customer, Platform, Market Expansion, Operational Efficiency, Supportability, and Risk, enabling unlike product and engineering investments to be compared on a common prioritization scale.
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