Get my agent

Agents that read your tickets, query your databases, call your APIs and close the loop, with a human in the loop wherever it matters. Prototype in week one. Production pilot in 30 days.

Week 1
Prototype on your data
Day 30
Production pilot
100%
Yours: code & weights
Ch. 01The problem

A chatbot pasted on your site doesn't change your numbers. An agent with tools, memory, permissions and an escalation path does. We design the tool surface, the guardrails and the evals, then wire the agent into the systems your team already uses.

Ch. 02What we build

  • 01

    Support resolution agent

    Reads the ticket, checks the order, issues the refund within policy, writes the reply. Escalates the edge cases with a summary attached.

  • 02

    Sales & SDR agent

    Researches inbound leads, enriches the CRM, drafts a personal first touch and books the call. Your reps start every day with a qualified list.

  • 03

    Ops & back-office agent

    Reconciles invoices, chases missing documents, files the boring forms. Every action is logged and reversible.

  • 04

    Internal copilot

    One agent over your docs, tickets and dashboards that answers with sources and can take action, not just talk.

Ch. 03What you get

  1. 01Agent design: tools, permissions, memory, escalation rules
  2. 02Eval suite with your real cases, run on every change
  3. 03Guardrails: input/output filters, spend limits, human approval steps
  4. 04Observability: traces, cost per task, success rate dashboard
  5. 05Deployment on your cloud, with runbooks and handover
Stack
  • Claude
  • GPT
  • Gemini
  • Claude Agent SDK
  • Vercel AI SDK
  • LangGraph
  • MCP
  • TypeScript
  • Python

Your competitor's agent is working right now.

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Ch. 04FAQ

How long until an agent is in production?

A working prototype on your data in the first week, and a production pilot with evals, guardrails and monitoring by day 30 for a well-scoped use case. Bigger scopes are split into 30-day increments.

Which model do you use?

Whichever wins your evals at an acceptable cost. We are model-agnostic: Claude, GPT, Gemini or open-weight models, and we can switch later without a rewrite.

What stops the agent from doing something stupid?

Scoped tool permissions, policy checks before every action, spend and rate limits, human approval on irreversible steps, and an eval suite that blocks regressions before they ship.

Do we own the agent?

Yes. Code, prompts, evals and infrastructure live in your accounts from day one. No platform fee, no lock-in.

Ch. 05Now

Tell us the pain. We answer in one business day.

  • ✓Reply in 1 business day
  • ✓Fixed price before we start
  • ✓NDA on request