How to read this page. Each slice below is the full proof chain for one system we build: watch it work in practice with the demo, read the blog for the problem in detail and the step-by-step solution, inspect the code. When you're convinced, the free assessment maps it to your business.
AI voice receptionist
An after-hours caller asks about availability, books a cleaning, and asks a Saturday-hours question — handled by the receptionist's tool layer, with a human handoff instead of a guess.
- Demo → Hear the sample call
- Blog → Why the tools matter, not the voice
- Code → Live GitHub repo (16/16 tests)
RAG over your docs
A front-desk manual turned into an answer engine: chunked, retrieved, and answered with citations — and an enforced refusal when the answer isn't in the documents. No hallucinations, by construction.
- Demo → Ask the manual yourself
- Blog → The repeated-question tax
- Code → Full code preview + zip (20/20 tests; GitHub publishing soon)
Multi-agent workflows
An intake → classify → draft → human approval → send → log pipeline with typed handoffs, idempotency keys, and retries — plus the 2am failure drill: a step fails, the run retries, escalates, and sends nothing until a human approves.
- Demo → Run the workflow yourself
- Blog → The workflow isn't the hard part
- Code → Full code preview + zip (15/15 tests; GitHub publishing soon)
Convinced? Start with nine questions.
The free AI Systems Assessment maps these three systems to your business: top three opportunities ranked by ROI, a 90-day roadmap, and what not to automate. Ten minutes, no call required.