Concept prototype — Innovation idea · Relay · figures are illustrative · GFHall LLC

How it works

Build list in.
Finished work out.

Five moving parts. You only ever touch the first one.

The Relay Pipeline

Intelligent Task Orchestration

IN

Task Queue

Devs drop jobs (code builds, model runs) with deadlines & privacy tags.

ROUTER

Relay Orchestrator

Evaluates rate limits, privacy restrictions, cost, and machine idle stats.

☁️ Cloud APIs

Backfills paid subscription quota before it resets.

💻 Local GPU

Harvests idle horsepower at zero marginal cost.

Capture the build list

Add units of work to one queue — a coding task, a batch job, a model run. Tag each with priority, a deadline, and a privacy level.

Relay picks the brain

The router scores every eligible endpoint by privacy fit, cost, latency, and free capacity, then assigns the job to the first worker that qualifies.

Fill the cloud you paid for

Relay watches remaining subscription quota and the reset clock, then backfills idle paid capacity with deferrable work before it expires.

Harvest local idle time

When a local machine goes idle, its runner pulls free, eligible jobs from the queue — and yields the instant you start using the machine again.

Watch it clear

One board shows throughput, spend, and anything stuck. Failed jobs retry or fail over to another endpoint automatically.

Routing rules

Right job, right brain

Job looks likeRelay sends it toBecause
Private source codeLocal runnerPrivacy tag forbids leaving the machine
Huge context, not urgentCloud, backfilledUses paid quota that would expire anyway
Small + overnightIdle local machineFree compute you already own
Urgent + heavyFastest available cloudDeadline beats cost

Stop dispatching by hand

Let the queue keep every brain busy while you build the next thing.