AI execution, evidence & evaluation
Alloc Fabric
Make intelligence execution something engineering can inspect.
Alloc Fabric is the reusable runtime direction behind an application’s request for intelligence. It separates the requested capability from provider, configuration, and prompt choices, and brings execution records and evaluation into the engineering conversation.
WHERE IT HELPS
Start with the work you want to improve.
- Inspect which configuration produced a result
- Compare candidate model or prompt behavior
- Build around local or hosted providers where supported
HOW IT CONNECTS
A clear responsibility.
A place in the bigger picture.
The application declares a need. Fabric handles intelligence execution. EDO coordinates durable work around the results; ModelGauntlet explores comparison and evaluation.
IMPLEMENTATION STATUS & EVIDENCERebuild / consolidation
What the source record shows
The source-review ledger identifies six source projects and three test projects in Fabric v3, with a need/binding/configuration spine. Historical runtime, fake/local adapters, and replay work inform the direction; the site does not independently rerun those tests.
Read the relevant experiment notes ↗Current scope
The reviewed v3 runtime is selected for retention and hardening. Streaming parity, dispatch authorization, hosting, and evidence gaps are recorded. This page does not claim those gaps are closed or that every provider is supported.
Current availability and integration fit are established in a walkthrough of the implementation.
A PRACTICAL NEXT STEP