An Agent In Your Product, Not a Chatbot
Your users don't want to talk to AI. They want their work done. We build an agent wired directly into your API, your database, your permission model — and it acts, not chats.
Standard A2A / OpenAPI agent contract. Two weeks. Eval before deploy.
Why Not Just Add ChatGPT?
Chatbot bolted on
User asks. Model answers text. Your user still does the work manually. Adoption dies in week 2.
Agent wired in
User states intent. Agent calls your API, reads your DB, respects your permissions, and the action is done.
Building it yourself
Two months of LangGraph debugging, no eval discipline, model updates break prompts silently. And it's not your core product.
What You Get
Production agent, 2 weeks
Agent served behind your API (A2A standard or plain REST). Auth, rate limits, cost caps built in from day one.
Eval gate before deploy
Every prompt and model change runs through your eval set. No silent regressions when a provider ships a new model.
Swappable model layer
Provider is a config, not an architecture. OpenAI, Anthropic, Groq, open models — switch on cost or quality, zero rewrite.
Monthly maintenance
Model updates, eval re-runs, cost monitoring, prompt tuning. Your team keeps shipping your product.
Two Weeks, Fixed Scope
Design + skeleton
Map the workflow, the tools, the permissions. Agent serving your staging API by day 5.
Hardening + eval
Eval set raised from your real cases. Cost caps, guardrails, latency tuning. Ship to production.
Maintenance retainer
Monthly eval re-runs, model swaps, cost report to your inbox. Cancel anytime.
Engagements
Scoped per workflow complexity. You get the code, the eval set, and the runbooks. No retainer required.
Eval re-runs, model refresh, cost monitoring. Transparent model spend — we take no markup on tokens.
Want an Agent In Your Product?
No sales deck. Leave your email and get a 1-page scope: the agent workflow for your product, tools needed, and a fixed-price quote.