Skip to content
K Kashif Ullah
← All services AI Agents & LangChain / LangGraph Apps

Custom AI agents that actually ship to production

I design and build LangGraph-based agents — interview bots, research agents, workflow automators — with deterministic state machines, tool calling, observability, and human-in-the-loop checkpoints.

Request a quote → Get a quote

Who this is for

Founders and product teams who want to ship a real AI agent — not a prompt-on-a-button. You have a workflow that should be automated, a knowledge base that should be conversational, or a decision that should be assisted. You need someone who can take it from idea to deployment without disappearing into the weeds.

How I work

Most agent projects fail because they’re written like one giant prompt. I treat agents as systems: small, typed nodes that pass structured state, with explicit branching, retries, and observability. LangGraph makes that easy; the discipline is what makes the result reliable.

I keep the deployment story simple — FastAPI + Docker + your cloud — and I leave you with a codebase your team can extend, not a black box only I can maintain.

What you get

  • Production-ready code, with tests for the critical paths.
  • A short architecture document explaining every decision.
  • A handover walkthrough (live or recorded) for your engineers.
  • 30 days of post-launch bug-fix support included.

Frequently asked questions

How long does an AI agent project take? +

A focused single-purpose agent — a contract reviewer, a customer-support triage bot, a research assistant — usually takes 2–4 weeks from kickoff to production deployment. Larger multi-agent systems take 6–10 weeks.

Which LLM do you build on? +

I'm model-agnostic. I've shipped on Gemini, OpenAI, Anthropic Claude, and open-weight models running on AWS. I choose based on your latency, cost, privacy, and reasoning needs — and I structure the code so swapping models later is a config change, not a rewrite.

How do you handle hallucinations and incorrect outputs? +

Three layers: structured output with Pydantic validation, retrieval grounding for any factual claim, and explicit human-in-the-loop checkpoints for high-stakes actions. I also instrument every agent call with tracing so failure modes are visible.

Do you sign an NDA? +

Yes. I work under NDA by default for client projects.

Ready to start?

A 30-minute scoping call is the fastest way to find out if we're a fit.

Book a call →