Custom orchestration, not hosted agent APIs
We build the orchestration layer ourselves so it survives load and edge cases, instead of leaning on OpenAI's Assistants API where it breaks. Specialist agents over a single monolith.
AI Agent Development
AI agents that hold up in production.
A senior team that builds agent and multi-agent systems for production, handling customer conversations, internal workflows, and domain-specific reasoning. Agents with tools, memory, and structured output. Not ChatGPT wrappers, not assistants-API demos that fall over under load.
Core MVP shipped to production by week 4.
From $8k3–6 weeksFixed scope in 72hCode you own
The problem we solve
“I want AI in my product, but ChatGPT wrappers feel cheap and OpenAI's assistants API breaks under load. I need something that holds up in production.”
That's the brief we hear most. The fix isn't a bigger prompt, it's engineering: custom orchestration over hosted agent APIs, specialist agents over monoliths, and cost optimization through model routing. Built to scale past the demo.
What we build
Production agents, engineered four ways.
Tools, memory, and structured output
Agents that call real tools, hit real APIs, hold state across a conversation, and return typed, structured output your product can rely on, not freeform text you have to parse and pray.
RAG that's actually evaluated
Retrieval over your own data with an eval harness, so you know retrieval quality before customers do. Pinecone or Qdrant, chunked and tuned for your domain, not a naive vector dump.
Cost-routing across model providers
Cheap models for the easy 80%, frontier models only where they earn it. On one engagement this cut average cost per task from $0.42 to $0.06, the difference between a $17k and a $2.4k monthly inference bill.
Proof, not promises
A 12-agent system, live in 4 weeks.
For Lonesyte (B2B SaaS), we shipped a multi-agent sales-triage system, twelve specialist agents over a custom orchestration layer, that two prior agencies couldn't deliver in six months. SDR triage time dropped from ~16 hours a week to ~2. Core MVP live in production in 4 weeks; now on v5 after continued iteration.
OpenAI · Anthropic · LangChain · LangGraph · Pinecone · Qdrant · FastAPI · OpenRouter
FAQ
AI agent development, answered.
What's the difference between an AI agent and a ChatGPT wrapper?
A wrapper forwards a prompt to a model and returns the text. A production agent plans, calls tools, holds memory, retries on failure, returns structured output, and is observable when it breaks. We build the second kind, the first kind is a weekend project.
How much does AI agent development cost?
Agent and multi-agent systems start at $8k and typically run 3–6 weeks, fixed scope and price, quoted in writing within 72 hours of our first call. No hourly billing, no open-ended discovery.
How long does it take to build a production AI agent?
Most agent builds ship to production in 3–6 weeks depending on the number of tools and integrations. You get daily Loom updates, a weekly working demo, and a direct Slack line to the engineer building it.
Which models and frameworks do you use?
OpenAI and Anthropic for models, LangChain and LangGraph for orchestration, Pinecone and Qdrant for retrieval, FastAPI and OpenRouter in the serving and routing layer. We pick per project rather than forcing one stack.
Do I own the code?
Yes, from day one. The codebase is transferred to your GitHub, fully documented, with no lock-in to our infrastructure or a proprietary platform.
Reviews
Founders, after we ship
5.0 avg“Shipped a multi-agent system in 4 weeks that two prior agencies couldn't deliver in 6 months.”
Najeeb KhanFounder, Lonesyte · B2B SaaS
“Saved us ~22 hours a week with one engagement. Paid for itself inside the first month.”
Priya NairCOO, Elara · Health-ops
“Honest scoping, ruthless prioritization, real production deploy. No fluff.”
Marcus ReedCTO, BuildAI · Creator-economy
Got an agent to ship?
45-min call. We'll tell you whether agents are the right tool for your problem, and exactly what it takes to get one to production.
Book a 45-min call →
Core MVP shipped to production by week 4.
or send a 2-min Loom →or email hello@obsidiancode.io