Selected work
Built, not pitched.
Technical case studies from inside the engagements. Architecture choices, workflow gaps, and what actually changed when the system landed.
Methodology · Across engagements
The shape of an engagement that actually ships.
Every Joust engagement starts with someone showing us a deck. The decks are usually fine. What's missing is the system that delivers the change the deck recommends.
Behavioral research · AI Implementation
Turning a thirty-year research methodology into a working AI product.
A consumer-insights firm with a proprietary qualitative methodology wanted its insights to scale beyond consulting hours. We built the platform that made it possible.
Enterprise services · AI Implementation
Building the data layer before anyone ships an agent.
The most expensive misconception in AI right now is that AI work is mostly model work. It almost never is. The first 90 percent is the data layer underneath.
Sports brand · AI Implementation
Three agents, three voices, one methodology.
A sports franchise needed multiple AI touchpoints, each with a distinct voice but a shared methodology underneath. A flat instruction stack wouldn't work. A layered one did.
Research institute · CMS Migration
A CMS migration that didn't make the editors relearn their job.
Most CMS migrations turn into re-platforming exercises that slow the editorial team down for a year. We did the structure work first, then moved the platform underneath it.
Live events · ML Platforms
Reading handwritten survey responses in the same window the event was happening.
An events team was collecting feedback on paper, then losing the signal to manual data entry. We built a smartphone-camera capture system that read printed and handwritten responses in one pass.
Automotive · Digital Transformation
Conversational product discovery for a global automotive catalog.
A global automotive manufacturer was forcing customers to compare spec tables across dozens of unsynced market sites. We rebuilt the platform and put an assistant on top that mapped customer needs to product lines in natural language.
Creative industry · Digital Transformation
One platform, hundreds of brand teams, one governance model.
A creative-industry network had hundreds of brand sites running their own code, their own assets, and their own bugs. We built the platform that let them share infrastructure without sharing problems.
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We don't name clients on this site without permission. The work above is real, the details are accurate, and the case studies are written from inside the engagements. Names appear when our clients ask us to put them here.