A client thread for a dealership advisor. Interests, comms prep, coaching sources, and a proof packet for every relationship.
Work samples · open to use
Open the systems we build.
Eight working systems, built for real business problems at a range of sizes, opened for you to click through and use. A moving company, an insurance broker, an aerospace readiness review, and more. This is what your team would own.
Every name, company, and number in these is invented, and a fail-closed check blocks publishing if even one real identity remains. We built them to show the work, which is why you get the build itself rather than a redacted screenshot of one. The build you open is the real build.
Watch the AI element work
- Trigger a real public-data pull (api.weather.gov, keyless, click-run)Residential real estate
- Watch deterministic catches fire on sample dataSubsea procurement
- Watch a scripted agent trace, labeled simulated end to endAerospace manufacturing
Eight case files
A moving company operating system. Quote planning, route presets, crew board, customer updates, and the owner view.
Lead intake to closing for a residential agent. Buyer rooms, neighborhood guides, team operations, and post-close follow-through.
A broker workspace. Book of business, appetite board, claims intake, renewals, tone-matched drafts, and a client portal.
Procurement that flags the wrong revision, the late lead time, the price outlier, and the single-source risk before a PO ships.
Strategic-programs coordination. Signals over engineering metadata, a data-layer tour, and owner, counterpart, and employee views.
A candidate workspace. Documents, dashboards, an agent manager, a source library, and a labeled value model.
A readiness-review workspace across fourteen surfaces. Inbox, requests, evidence, dashboards, agent manager, and a proof packet.
Questions these samples answer
What can AI actually do for a small business?
Open the samples above and see for yourself. A moving company gets quote planning and crew boards, a real estate agent gets lead intake to closing, an insurance broker gets renewals and tone-matched drafts. Each build turns one repeated task into a workflow the team owns.
What does a larger AI rollout look like?
The aerospace and insurance case files show it: a readiness review across fourteen surfaces, procurement that catches the wrong revision before a PO ships, and an agent manager with a review gate on every action. One branch first, human approval built in, then the rollout widens.
Want one of these for your business?
Every sample here started as a working session with one real business. The free diagnostic is the same first step.