Work

Systems you can actually watch work.

No vanity metrics or stock screenshots: real builds, the problems behind them, and the proof they run.

Client #0 · Flagship pilot

Member intake & comms

From manual follow-up to automated member flow

Problem

A growing member-based business losing time to manual member follow-up and missed reactivation across disconnected tools.

Build

An n8n system wiring sign-ups, reminders and reactivation sequences together, with every step logged and observable.

Result

Hours of weekly admin removed and a repeatable, measurable member-comms flow. (Pilot metrics being finalised.)

Owned infra · Regulated-industry ready

Client-data redaction & tiered routing

Sensitive data stays on local models; only sanitised text reaches the cloud.

Problem

Regulated businesses can't hand client records to cloud AI — but cutting cloud models out entirely means losing their power.

Build

A redaction gate that strips identifying data locally, with tiered routing: private data stays on local models, only sanitised text ever reaches a cloud model.

Result

Cloud-grade AI on sensitive workloads, with identifying data never leaving the local machine.

Open source · Public proof

Overclock IT

LLM FinOps Dashboard

Problem

Teams running LLM workloads had no clear, real-time view of spend and usage, costs drifted silently.

Build

A public, observable dashboard that ingests usage data and surfaces cost, tokens and trends, proving real, monitored systems, not slideware.

Result

A live demonstration that Overclock IT ships observable production systems you can actually watch work.

Live · Zero missed enquiries

Enquiry intake & auto-reply

Every enquiry captured, routed and answered instantly, day or night.

Problem

Enquiries arrive at all hours; a manual inbox means slow replies and lost leads.

Build

An n8n pipeline that captures every enquiry, routes and logs it, and fires an instant auto-reply. It's the same pattern that runs this site's own contact form.

Result

Zero missed enquiries and an instant first response, day or night.

Internal system · Decision support

The Expert Panel

Send in a problem. A panel of AI experts weighs in. A judge picks the answer that holds up.

Problem

Ask one AI a hard question and you get one confident answer — which might be wrong, and you'd never know. Big decisions deserve more than a single opinion.

Build

Send a problem to a panel of several AI experts. They each make their case, challenge each other, and a final "judge" weighs the arguments and returns the answer with the most solid reasoning.

Result

Decisions backed by a room full of perspectives instead of a coin-flip — the weak answers filtered out, the strongest one left standing.

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