Full builds,
not screenshots.
Five working systems, each proving a different piece of the same approach — deterministic execution, AI judgment only where it earns its keep, and a human sign-off on anything that leaves the building. Two are portfolio demos built to show what's possible; three are internal systems running this business's own operations today. Every page below is explicit about what's real, what's mocked, and what actually went wrong along the way.
Agentic AI Operations OS
Intake, classification, knowledge-base retrieval, record lookup, task creation, drafted responses, and a human approval gate — for a business fielding fragmented, high-volume support requests across channels.
Coach/Consultant Lead Intake
The same operating philosophy, built in a no-code visual canvas instead of custom code — for teams who need to open the workflow themselves and change a rule without filing a dev ticket.
Self-Healing Automation Monitoring
Three scheduled automations had silently never been switched on — no crash, no error, just silence. A twice-daily audit now catches a missing schedule, a dead process, or a run that produced nothing, fixes what's mechanical, and escalates what needs a human.
Human-in-the-Loop Email Automation
An AI drafts, a person approves or edits over a chat message, and only deterministic code — never the model — decides whether anything actually sends. Two real bugs were caught and fixed during live testing; both are documented on this page, not hidden.
Automated KPI Reporting
A live small business gets an accurate morning KPI snapshot with zero AI in the calculation path. Metrics it can't compute are reported as missing, never estimated — no hallucinated numbers reach a real business decision.
Which of these is closest to your own bottleneck?
Happy to talk through what the equivalent system would look like for your business.