AI Product Quality Lifecycle
Design, test, and publish
production AI products.
The complete eval lifecycle for AI agents and multi-agent systems — from architecture design through eval, live testing, judgement, publishing, and strategic intelligence.
7 skills
Run any skill independently.
Or run the entire pipeline.
Architecture Builder
Design production-ready AI agent architectures with 9-layer readiness audit built in.
Eval Builder
Generate multi-table eval suites with adversarial coverage and quality-anchored rubrics.
Live Testing
Execute eval suites against live systems with smoke-test, regression detection, and trace capture.
Eval Judgement
Score outputs with layered LLM-as-judge, deterministic checks, and human-in-loop routing.
Eval Publish
Turn results into Engineering, PM, and Stakeholder views with go/no-go signals.
Reference & Asset
Search, capture, and version architectures, eval suites, and patterns in the knowledge library.
Knowledge Compile
Quarterly synthesis of cross-project learnings into GRASSURN's living strategic intelligence.
Entire Pipeline
Chain all 7 skills in sequence. Auto-pass outputs between steps. Confirmation gate before each advance.
How it works
Three phases. One workspace.
Design
Architect your AI product with full 9-layer production-readiness coverage.
Test
Build eval suites, run them live, and score outputs with independent judging.
Publish
Deliver audience-specific reports and route action items to your team.