The brain is what your company knows. The operating system is what it does with it. Either one alone is a demo.
You already know how to win. That knowledge sits in decks, tickets, chat threads and three people's heads. We pull it into one structured memory that your people and your agents both work from.
A brain that only answers questions is a wiki. The OS does the work: your team runs skills by name, agents close tasks end to end, and loops run every morning and stop themselves when the output is wrong.
Multi-agent systems for the work that eats your team: intake, document review, compliance checks, content, reporting. A human reviews where the stakes justify it, and nowhere else.
Strategy, architecture and build for AI-native SaaS, from first sketch to paying customers. We have taken products from seed funding to billions in transaction volume.
The handoffs, re-keying and status chasing between your systems, removed. Event-driven, observable, and boring in the best way.
Replace a manual, people-heavy motion with a self-service one. We have done it for sales, onboarding and back-office review inside regulated, high-trust businesses.
Classifiers and fine-tuned models for the cases where a general model is too slow, too costly or too loose. One recent build: a 1.9B-parameter model fine-tuned on 150,000 examples across 176 categories, after a smaller one kept hallucinating.
Hands-on training for executives, operators and small teams. Nobody watches slides. Everyone builds something they will use on Monday.
We are not tied to a vendor. The right model is the cheapest one that passes your evals, and the right framework is the one your team can run after we leave.
Three builds running in production at a global two-sided marketplace. The client is confidential. The numbers are not.
Each step has a fixed price, agreed before it starts. There are no retainers and no hourly billing.
You bring one process that hurts. We ask what it costs today, in hours and in dollars.
30 minutes · freeWe sit with the people who do the work and map where the time goes. You get a ranked list of what to automate, with a number on each line.
About 2 weeks · fixed priceOne agent, end to end, on your real data and infrastructure. It ships with evals, so you can see how often it is right.
4 to 6 weeks · fixed priceWe widen what works, train your team to run it, and leave you the code, the prompts and the runbook.
Scoped from resultsHands-on sessions built around something your people ship by the end. Open courses run through Masha Sharma Academy, a Citrusworks client.
See the academyA free MCP server that measures how you write, with five practical uses: checking AI drafts, writing across channels, diagnosing your style, ghostwriting and house style.
October 12, 2026 · 2 min readTypeSafe's Jev and OpenAI's Decisions API both return a typed decision with a probability instead of text. What each one is, what is still unproven, and what to do about it.
September 23, 2026 · 2 min readFrontier, open or fine-tuned? Choose the cheapest, fastest model that passes your evals. Here is how to run that decision.