Work
Proof, in production.
We would rather show you systems that run every single day than a wall of logos that prove nothing. So that is what this page is.
Case study / Unsliced
One founder, answering everything. Now the system does.
Unsliced is a coaching program for restaurant owners. Its founder was the engine behind it, answering every student question himself, in his own voice, all day. It worked, and it did not scale. The knowledge lived in one person, and that one person was the bottleneck.
We built an AI trained on their material that answers in the founder's voice, around the clock, plus automation for onboarding and progress tracking so new students get moving without anyone in the loop. It has answered more than 17,000 questions at 99.4%, and it has run every day since launch.
Live clientThe challenge
One founder was personally answering every student question. The expertise that made the program work was trapped in a single inbox, and growth meant either burning him out or letting answers slip. The program could not get bigger than one person's day.
What we built
An AI trained on their own material that answers in the founder's voice, 24/7, never off script, plus onboarding and progress-tracking automation that sets new students up on its own. Built on Claude, n8n, Supabase, Pinecone, and Lovable, on their accounts, theirs to keep.
The result
- 17,000+ questions answered, none by the team
- 99.4% answered successfully
- Running every day since launch
Case study / Youth sports academy
21,000 students, 87 coaches, one tap to a parent recap.
A youth basketball academy with eight campuses had grown to 21,000 students and 87 coaches on a legacy system where most of the promised features never actually worked. Coaches were stuck on desktop only tools, and every class ended with 15 minutes of manual write ups for parents.
We audited the live production system, then built a mobile coach app that runs inside WeChat, the platform the academy already lives in. Its standout feature turns 90 minutes of class photos and a 15 second voice note into a polished parent recap in about 90 seconds.
The challenge
A fast growing academy was running on a brittle legacy system where most features did not work, desktop only, with every class ending in a long manual recap for parents.
What we built
A mobile coach app inside the academy's existing platform: attendance, a coach workbench, campus consolidation, and a one tap class summary that turns photos plus a short voice note into a formatted parent recap.
The scale
- 21,000+ students across 8 campuses
- 87 coaches on one system
- 90 seconds for a recap that took 15 minutes
Case study / Production automation
Real time AI, with the guardrails to run unattended.
Not every build is a chatbot. We also design automation that has to make decisions on live data, around the clock, without a person watching. One of our systems scans markets across two countries in real time, scores opportunities with AI, and acts on them inside hard risk limits.
Why it matters for your business: the same discipline that keeps a money handling system safe (reliability, clear guardrails, a kill switch, no silent failures) is exactly what we bring to the automations we build for you.
The challenge
Build automation that reacts to live data and decides on its own, safely, with no person in the loop and not a single silent failure.
What we built
A real time engine that scans US and China markets, scores signals with AI, and executes inside hard risk controls, with a circuit breaker and a kill switch so it can never run away.
The discipline
- Real time data, scored by AI
- Hard limits, circuit breaker, kill switch
- No silent failures, ever
Want to be next?
A short client list, on purpose.
We are a boutique studio, so we take on few clients and feature each one in depth instead of collecting logos. If your business runs on answers and follow ups, you are exactly who this is built for. The next case study could be yours.
See what we could
build for you.
Book a free consult. We look at how your business actually runs, then tell you straight where AI is worth building, and where it is not.
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