Solo AI agent studio

Agents that
can't go
off-script.

The control flow is in the code. The LLM handles language — nothing else. Production-grade agents built by one person who's accountable for every line.

See how it works

Demo 01 · StateAgent

The agent follows
a graph, not a guess.

Every decision — route to support, search knowledge, escalate to human — is a hard edge in a state machine. The LLM cannot invent a path that doesn't exist. Watch the routing live.

LangGraph Python FastAPI

Demo 02 · PrivateAI

Goes offline.
Keeps going.

The model runs entirely on-device. No API calls, no network dependency, no data leaving the phone. Airplane mode is just a setting — not a blocker.

Flutter llama.cpp Phi-3 Mini
9:41
No signal On-device
What's the refund policy?
Refunds are processed within 5–7 business days. No questions asked within 30 days.
Can I get an extension?
Yes — just reply to your order email. I can extend up to 45 days.
Requests to cloud: 0

Demo 03 · DocBrain

It knows when
it doesn't know.

Upload any document. Ask anything. When the answer is in there, you get it with the exact source highlighted. When it's not, it says so — not a hallucination. The confidence threshold is a code constant, not a prompt.

LangChain ChromaDB RAG
Refund Policy · Section 4
↳ Source: Section 4, paragraph 2
Product Specs · Section 8
Answer

Fixed-scope packages

Proof of Concept
1–2 weeks · scoped on first call

One working agent, end to end. Enough to test with real users, pitch to stakeholders, or decide if you want to go further.

  • Single-task agent with defined state machine
  • One tool integration (API, database, or doc store)
  • Live demo with source code
  • Written handoff: what it does, what it doesn't, what comes next
Production Agent
4–6 weeks · fixed deliverables

A complete agent system built for real traffic. Logging, error handling, human-in-the-loop escalation. Not a demo — something you can run.

  • Full LangGraph state machine with multiple branches
  • Up to 4 tool integrations
  • Admin dashboard for monitoring runs
  • Deployment + 30-day support window
Ongoing Retainer
Monthly · cancel any time

For teams that want an agent engineer on call — shipping improvements, adding integrations, watching production, fixing what breaks.

  • Up to 40 hours per month
  • Priority response (<24h on business days)
  • Monthly review call
  • Covers any agent in the stack we've built together

How I work

Logic in code. Language in the model.

Routing, branching, retry logic, escalation — these live in the state machine, not the prompt. The LLM writes sentences. It doesn't make decisions.

Build only what's needed.

No feature creep. No future-proofing things that might never matter. A tight, well-built system beats a complex one every time.

Ship fast. Iterate honestly.

You'll see working software quickly. When something isn't working, I'll say so — directly. We fix it and move on.

About

I'm Aditya. I've worked inside enterprise AI platforms — the kind with dashboards, layers, and account managers between you and the actual work. Now I build the things those platforms should have shipped.

One person means you talk to the person doing the work. Every time. No handoffs. No project managers translating your requirements into tickets.

I work with small teams and founders who need agents that run in production. If you want a demo that looks good and doesn't work, there are agencies for that.

1person accountable
0handoffs
∞attention to detail

Get in touch

Let's talk.

Tell me what you're trying to automate.

aditya@adityasystems.engineer