Customers
Customer outcomes, implementation evidence and lessons.
Document the starting condition, intervention, measured result, time horizon and customer verification for every published story.
Publish evidence with dates, methods, ownership and correction paths.
Customer case studies
There is nothing published here yet. That is a deliberate state, not an oversight. Public customer case studies are being prepared, and Debuginit publishes customer names, metrics and outcomes only with customer approval and supporting evidence.
Every published story will carry a measured baseline, a stated time horizon, the customer's verification, and the limitations — including what did not work.
AI-assisted editorial operations
Debuginit has developed and internally piloted an AI-assisted editorial operations workflow covering source ingestion, full-article retrieval, duplicate and similarity checking, classification, human-in-the-loop review, publication preparation and workflow traceability. This is an internal product and operating-system pilot, not an independently audited customer case study.
The initial architecture was designed for approximately 200–300 editorial items per day, with a later target of up to 500 items per day. These figures are system design targets, not independently audited customer outcomes; a reproducible production benchmark and external validation are still required.
- Pilot type
- Internal operational pilot — not a customer engagement
- Baseline
- A standardized, measured production baseline had not yet been established
- Outcome
- An end-to-end technical workflow from source ingestion through human review to publication preparation
- Evidence status
- Working proof of concept internally; reproducible production benchmark and independent audit still required