Services
AI agents & workflow automation
Autonomous and semi-autonomous AI agents — research, sales, and support copilots — built with structured outputs, retrieval, and human-review boundaries, not an open-ended chat window.
The constraint
An agent that can call any tool with no guardrails is a liability, not a feature. We design agent workflows around retrieval, validation, and a clear boundary between what the model suggests and what actually executes.
Who it is for
- Sales and GTM teams drowning in manual research
- Support orgs that need a reliable first line
- Products ready to move past a chatbot demo
What we build
- Research and GTM copilots
- Agentic workflows with tool/API calling
- RAG pipelines over your own data
- Structured-output and validation layers
- Model routing across GPT, Claude, Gemini, Llama
Stack
- Python
- Node.js
- TypeScript
- PostgreSQL
- Redis
How we work
01
Discovery
We sit with the problem: users, constraints, existing systems, and what “done” actually means.
02
Strategy
Architecture, scope, and a sequence that ships value before it ships theatre.
03
Design
Interfaces and flows that are quiet, legible, and built for the people who will live in them.
04
Build
Clean code, tests, and weekly visibility. You own everything we write.
05
Launch
Deploy, observe, and harden. Stores, domains, analytics, and the boring details that keep nights quiet.
06
Hold
Maintenance, iteration, and productization when a custom system is ready to become a product.
Questions
Which LLM provider do you use?
Whichever fits the task and budget — we route across GPT, Claude, Gemini, and Llama rather than committing to one vendor by default.
How do you keep an agent from doing something wrong?
Structured outputs, validation before any deterministic action, logging of every step, and a human-review boundary for anything consequential.
Start a conversation
Tell us the job. We will answer with a scope, not a slogan.