An AI agent becomes much more useful when it has somewhere real to work. Not another disposable c...An AI agent becomes much more useful when it has somewhere real to work. Not another disposable c...
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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.
Solo-owner mobile car detailer, Austin, TX (serving Round Rock, Cedar Park, and Lakeway)
Marlowe Mobile Detailing was losing about 1 in 5 bookings to no-shows and running behind on nearly every job. This build replaces a vague "can you detail my car?" text with a fully scoped, weather-aware booking flow that sets an accurate time and price upfront, captures access instructions before he arrives, and automates rain-day rescheduling so he never has to chase a customer again.
He works alone and travels to the customer. Rain cancels outdoor jobs. Customers under-describe how dirty their cars are, so jobs run long. About 20% of bookings were no-shows because people forgot he was coming to them.
I've built a new mobile AI assistant that brings chat, text and image generation, voice input and document analysis into one app.
It have Smart Chat, Text Creator, Image Create, Voice Input, plus PDF Scanner, Photo Analyze, Social Content and Prompt Ideas, filtered by category.
Almost everything AI can do, just in one place.
I build an AI virtual assistant named Emma for my one person photography studio, Golden Hour ATX in Austin, Tx. Emma books appointments, checks the calendar, sends confirmation emails, and handles almost everything a one person photography studio needs. My photography studio used to overwhelmed with emails from clients and he needed someone to handle the details so that he can concentrate on photography.
Making the assistant the actual interface rather than adding a chatbot beside a booking form is a really interesting choice.
How does Emma handle requests that don't fit neatly into the available packages or calendar?
That's usually where a human ends up getting pulled back into the loop.