Abstract
In autonomous agent workflows, agents can produce plausible-but-wrong intermediate outputs that are syntactically valid and pass local validation checks but semantically diverge from a requester's intent, and subsequent steps can compound the error. The described technology may establish, from the initial request, a machine-checkable intent contract that the agent cannot modify, may checkpoint workflow state after each verified step, and may evaluate agent-produced artifacts using a tiered detector. Upon detecting a divergence, the system may attribute it to the earliest step whose artifact diverges from the intent contract (the origin step), which may precede the step at which the divergence was detected, and may automatically restore the checkpoint preceding the origin step, purging artifacts derived from the divergent value. A human operator may be offered structured resolutions that are written into the intent contract and enforced by subsequent verification. A deep alignment audit may precede every irreversible step, and its frequency may otherwise be scheduled according to the workflow's accumulated exposure, trading verification cost against the amount of work discarded on rollback. Ambiguous requests may be escalated as enumerated candidate interpretations before work is built on a guess.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Messenger, Glen, "Stakes-Adaptive Verification and Origin-Traced Rollback in Autonomous Agent Workflows", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12058