An AI agent becomes much
IURII PAIMURZIN
An AI agent becomes much more useful when it has somewhere real to work.
Not another disposable chat. A private Linux workspace where it can keep project context, use browser and terminal tools, run automations, and leave behind inspectable files, logs, and deployed systems.
This is the operating model behind two recent builds:
InterviewCoach: Android/Compose + FastAPI/LangGraph, a public APK, and 111,723 deterministic load-test requests with 0 failures.
An omnichannel agent: one LangGraph-controlled brain, PostgreSQL/pgvector state, and active Instagram, Telegram, and WhatsApp adapters.
I have now made the same managed environment available as a Contra product. Starter is $30/month: 2 vCPU, 4 GB RAM, 40 GB storage, automation runtime, controlled Google sign-in, and 30 minutes of expert support.
The boundary is explicit: the subscription covers the workspace and its support allocation. Custom integrations, migration, and production hardening are scoped separately.
If you are a founder or operator with one real workflow to prove before committing to a larger build, this is the entry point.
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Posted Jul 21, 2026
An AI agent becomes much more useful when it has somewhere real to work. Not another disposable chat. A private Linux workspace where it can keep project con...
