Products
The Level Up Labs portfolio is anchored on five products today, each covering a distinct plane in the agentic delivery loop: plan, execute, narrate, run, and govern. The system view lives on the homepage stack.
Coordination plane
Hosted control plane for Pinion: link a GitHub repo, plan and execute sprints with humans and agents through a verified shadow workspace, ship via PRs.
ProofMaintainer-verified repos, planner/executor LLM tiers (plan-sprint, go), MCP and web parity over the same HTTP API, deterministic operational loop: list → frontier → go → release → retro.
Execution plane
Coordinates Jira backlog into Git-backed Ansible for AAP—Compose deployment, compose-smoke readiness, retrieval proofs, MCP tools aligned with health APIs.
Proofproduct.md defines Jira→playbook→GitHub→AAP execution; Compose packaging and operator flows are documented under backlogzero; compose-smoke.yml waits for GET /api/ready then runs smoke.sh; README documents retrieval_proof pytest matching CI; agents-mcp.md maps MCP tools to GET /health, GET /ready, and GET /service_status.
Narrative plane
A standard for evidence-backed agent narrative—every claim links back to commit, file, and exact line range so agentic software is legible and trustable in 30 seconds.
ProofDiff→claim mapping, semantic change layer, deterministic + LLM hybrid (LLMs describe truth, they don't create it), trust scoring, and `facter-bot explain <repo>` as the developer surface.
Runtime plane
Runtime contract layer for AI-built systems: declarative services, dependency graph, validation gates, and deterministic deployment to Podman/Quadlet.
Proofpodbay.yaml defines services, dependencies, health, and requirements; CLI flow init → validate → deploy → explain → diff; contract > configuration, validation > execution, agents agree on reality.
Governance plane
Don't ship AI-assisted code your team doesn't understand. Merge governance, recoverability scoring, and a human understanding layer for AI-era development.
ProofPR Gate enforces understanding as a merge requirement; Recoverability score (0–100) tracks concept drift, architecture drift, workflow expansion, risk pressure; ownership audits validate who actually understands each system.
Pinion (the engine that powers Pinionize), Crumbify, and QandAgent are not products in this index—they are the research and systems that shaped the stack. Read them on /foundations.