Productizer
live
Requirements that stay true.
One living spec per product. Work stops when something contradicts what you agreed.
- One living spec
- EARS requirements
- Claude Code plugin
Requirements that stay true.
One living spec per product. Work stops when something contradicts what you agreed.
Guardrails that run on the machine.
Every prompt is reviewed locally, before it reaches the agent — coach, alert or block by policy.
A home for the apps your AI builds.
… of your systems. The right place for that is infrastructure you own.
Remote IT support you host yourself.
Diagnoses your fleet and, with your approval, repairs it.
Four tools, one order of operations. Hover any of them.
Runs on your own server. No relay, no middleman, no metered egress.
Driven over the open Model Context Protocol — from the agent you already use.
AGPL-3.0. Read every line, fork it, run it — nothing hidden in a cloud.
Data and prompts stay on your machines. Nothing phones home.
Track requirements as a living spec. Every request is checked against everything already agreed — and when one contradicts another, the work waits for your ruling instead of quietly overwriting it.
Open-source, on-device guardrails for AI agents — Claude Code, Codex, Copilot CLI. Every prompt is reviewed locally, before it reaches the agent: coach, alert, or block by policy. Security teams get redacted, content-free signals, never the prompts — governance without surveillance.
A home for your AI apps. Deploy and run the apps your AI builds on a server you own — where your code, data, and per-user audit trail never leave your infrastructure. GitHub-native flow, Docker isolation, SSO — the one thing managed clouds can't offer.
Self-hosted, AI-powered remote IT support for your own fleet. An AI that sees a machine, diagnoses the problem, and — only after a human approves — fixes it. Screen, shell, files and live device health from one hub you run. Read-only by default; nothing changes until someone clicks Apply, and nothing leaves your infrastructure.