● orbitone · lab

A small lab that ships AI systems.

Three operators. Shared quality bar. We take a few concurrent builds so context doesn’t evaporate mid-sprint.

// why we exist

Most AI work dies between the notebook and production.

OrbitOne started because we kept watching teams bolt a chat widget onto a product and call it strategy. The hard parts — tool reliability, retrieval quality, human review, cost, observability — got left for “later.”

We build the full path: model adapters, agent loops, product UI, evals, and the boring operational glue. Intentionally small so you work with the people writing the system, not a rotating cast.

// operators

The people on the build.

AC

Alex Chen

product eng · agents

Orchestration, tool protocols, streaming UX, and the glue between models and product surfaces.

  • ·TypeScript
  • ·LangGraph
  • ·Next.js
  • ·eval harnesses
SJ

Sarah Johnson

systems · retrieval

Data pipelines, hybrid search, cost/latency budgets, and infra that doesn’t melt under real traffic.

  • ·Python
  • ·pgvector
  • ·queues
  • ·observability
MR

Michael Rivera

ai ux · product

Interfaces for uncertainty — streaming states, citations, review loops, and product decisions that survive demos.

  • ·product design
  • ·prototyping
  • ·design systems

// engagement shape

How a build actually runs.

01

Scope the real problem

We push on whether you need an agent, a workflow, a search layer, or just better product — before we pick a model.

02

Define a quality bar

Evals, golden sets, latency and cost targets. If we can’t measure it, we don’t claim it works.

03

Ship a thin vertical

One production path first: tools, UI, logging, fallbacks. Then expand. No six-month “platform” fantasies.

04

Handoff that sticks

Runbooks, eval suites in CI, and architecture notes your team can own without us living in the repo forever.

// fit check

Who we work with — and who we don’t.

good fit

  • +You have a concrete AI surface — agent, copilot, RAG, automation — not “add AI somewhere.”
  • +You’re okay killing a demo path if evals say it fails users.
  • +You want senior operators on the work, not a body shop.
  • +Timeline is weeks to a few months, not an open-ended R&D black hole.

not a fit

  • −You need pure model research or training from scratch.
  • −You want a 40-person agency with account managers and decks.
  • −Success is defined as “looks cool in a launch video.”
  • −You’re shopping for the cheapest hourly rate on Upwork.

// next

Think we’re the right operators?

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