Orintis Labs · AI-native engineering
We build and operate our products with an AI partner.
Orintis Labs develops and runs its products and services alongside an AI agent. It works through the Model Context Protocol — proposing every change — while a deterministic core keeps systems alive and a human holds the gate.
actor = aivia MCPgit = source of truthself-hosted
Deterministic core
No LLM in the critical path. The AI reasons around reconciliation — never load-bearing for uptime.
Plan → Apply
The agent plans; mutations need an explicit
apply token, and production needs a human gate.Tamper-evident audit
Human or
actor: ai, every action is hash-chained and reviewable. Secrets stay out of the model's context.Fleet3 healthy
core
healthy
edge
healthy
preview
idle
Proposalpending
aideploy · proposed by agent.odin
deploy api-staging → main@c4d5e6f
plan #7F3Ahuman gateapply3 cmd · token expires 05:00
Audithash-chained
12:04actor:aideploy core → plan
12:04actor:humanapprove plan#8f2
12:11actor:aiheal: restart edge → applied
KILL-SWITCHarmed · inactive
Illustrative — representative control-plane state, not a live feed.