The AGNT5 Loop

Building reliable AI workflows usually means stitching together an orchestrator, an observability stack, an eval pipeline, and custom glue code. AGNT5 brings those layers into one production loop, so the workflow you ship, the run you debug, and the eval you use to improve it all share the same execution context.

The differentiator is not any single phase. Durable execution exists elsewhere. So do observability tools and eval platforms. What AGNT5 ships is the connection between them: traces are tied to real runs, evals can point back to the executions that produced them, and fixes can be compared against the failures they are meant to resolve.