Full builds,
not screenshots.
Nine 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. Three are portfolio demos built to show what's possible; six are internal systems running this business's own operations today. A tenth page is a modeled offer, not yet piloted, and labeled as such. Every page below is explicit about what's real, what's mocked, what's still a projection, 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.
Automated Security Verification
A twice-daily check re-verifies eight security claims against live system state instead of trusting a one-time audit. Built the same week an adversarial test found a real bypass in an agent's safety floor hours after it shipped. Both stories are on the page, not smoothed over.
Squarespace SEO Audit & Website Fixes
A live small-business site with real clients had zero Google search presence, not ranked low, indexed nowhere. The SEO audit and website fixes that followed, plus a platform bug and a connector limitation that forced a manual pivot instead of an automated one. All documented here, not hidden.
AI Document Backlog Digitization
A model reads every page, a confidence check flags what a person needs to verify, and nothing ships unread. Worked example from a law firm's discovery backlog. The approach isn't legal-specific. It's for anyone sitting on paper.
Running Claude Code and Codex Together
Two AI coding agents on one codebase, each with its own token budget and working directory, one shared rulebook. The setup itself, with no performance claim attached since that's a separate test.
AI Storefront Ops for WooCommerce
The AI SEO, review-request, and revenue-reporting automation newer platforms sell as a reason to migrate off WooCommerce, built instead as a bolt-on layer on top of a client's existing store. Verified against a real local WooCommerce REST API, not fixture JSON.
Which of these is closest to your own bottleneck?
Happy to talk through what the equivalent system would look like for your business.