Resources for a reviewed AI workflow.

Residual Forge library

Offers, guides and downloads

Everything needed to demonstrate the current workflows and prepare a reviewed delivery.

AI Cost & Quality Diagnostic · $750

One workflow and reporting period, up to 100 usage rows and 10–50 human-scored cases. Receive a checked cost baseline, quality findings, recommendations, a findings walkthrough and one factual correction round. Target delivery: five business days after complete inputs and agreed scope.

This is a fixed-scope service. It does not promise savings, autonomous deployment or revenue. Confirm data permission, billing and acceptance before a customer engagement.

Open diagnostic workbench Open GPU review workspace

The $750 diagnostic

Scope, preparation checklist and a sample deliverable.

Complete public resource pack (ZIP)
Offer and customer preparation checklist (Markdown)
Example customer report — synthetic (Markdown)
Example usage input — synthetic (CSV)
Example quality scorecard — synthetic (CSV)

GPU workflow demonstration

See how local extraction and source-linked search support a human-reviewed delivery.

GPU demonstration guide (Markdown)
Measured synthetic result to import (JSON)

Capabilities and limitations

What is implemented and what still needs review. Structural checks are not factual-quality certification.

Current capabilities and review requirements (Markdown)

All examples are synthetic. Generative drafts need source-by-source review; Signal and Foundry have unresolved evaluation findings. The public site does not grant access to operator accounts, paid model execution or the operator’s laptop. Downloads and browser review notes are not customer approval records.

Residual Forge / founding cohort

Know which AI costs are buying quality—and which are just waste.

Start a fit conversation →

Tell us which AI workflow you run repeatedly and where cost, latency, or quality is creating friction.