Live AI lifecycle product and operational proof
Zombify — live AI model lifecycle product
Zombify was built around model deprecation signals and the fragility of relying on AI models that can change, degrade, retire or disappear. I reframed a hidden infrastructure risk into a product people could understand and remember, then built the operational layer behind it: registry candidates, source confidence, ingest health, lifecycle events, newsroom review and human overrides. It remains live as a Pixelhatch product and technical showcase, demonstrating the full system from public utility through to human-reviewed operations.
The problem Developers and teams rely on AI models that can change, degrade or disappear, but the risk is easy to ignore until something breaks.
The strategy Make model lifecycle risk memorable with a sharp brand idea, then support it with practical checking, monitoring logic and ongoing model lifecycle content.
The build Brand, product story, front-end experience, Free Checker, monitored-stack surfaces, Newsroom, registry review, ingestion observability, lifecycle audit and human-control workflows.
Hooks / outputs
Free CheckerNewsroomLive product Product positioningDeveloper-facing web experienceRegistry control roomIngestion and review system
- Created the name, brand direction, product story and front-end experience
- Translated model lifecycle risk into a simple monitoring proposition developers can understand quickly
- Added a Free Checker for immediate utility and a Newsroom for ongoing model lifecycle discovery
- Built a Registry Review control room with candidate approval, ingest health, lifecycle events, source confidence and human override