AI Feature Sprint
One production AI feature, from spec to live, usually in two to three weeks.
- Agent, retrieval (RAG) or structured extraction
- An evaluation set and a regression check in CI
- Cost and latency budgets, fallbacks, logging
Production AI engineering
Pierline ships agents, retrieval and evaluation into software products for teams that don't have a senior AI engineer yet. It's a fixed scope and a fixed price, and your team keeps the code.
Book a 30-minute scoping callSee the offersEvery engagement is written up before it starts: what ships, how we'll know it works, and what it costs.
One production AI feature, from spec to live, usually in two to three weeks.
About eight hours a week of senior AI engineering inside your team, with no hiring cycle.
A written review for founders and CTOs before a raise, a launch or a first AI hire.
Built your app with Lovable, Bolt or Cursor and not sure it's ready? A $500 Production Check gives you a 48-hour review and a ranked fix list, credited toward any sprint.
It's short, written down, and measured.
30 minutes on the feature, your data and what "working" means.
Scope, success metric, timeline and a fixed price within two business days.
Daily progress in your repo. Evals come first, so every change is checked.
Live behind a flag, with docs, dashboards and a recorded walkthrough.
Pierline Systems is run by Julian Hale, a senior AI engineer who designs and ships production generative-AI systems: agents, retrieval pipelines and the evaluation work that keeps them honest.
Pierline is deliberately small. You talk to the engineer who writes the code, and every engagement ends with your team owning it.
Based in New York City and working remotely with teams in US time zones.
Send a few lines about the feature and your stack. You'll get a reply within one business day.
julian@pierlinesystems.com