Synthetic proof artifact · AI agent operations

Character Ops
Feedback Loop

A practical technical blueprint for turning a virtual-character brief into repeatable agent runs, content QA, learning signals, and a safe handoff.

agent instructionsquality gatesstructured feedback
AGENT RUN · character-01● staged
82 / 100 quality score

Consistency, safety, platform fit, and conversion-readiness are scored separately.

REPRODUCIBLE AGENT LOOPone run, one trace
01 · CHARACTERCanonical voice, visual constraints, audience, and do-not-do list.
02 · PLANBatch content ideas with channel, hook, CTA, and acceptance criteria.
03 · GENERATERun tools through bounded steps with saved inputs and outputs.
04 · REVIEWScore consistency, safety, quality, and required revisions.
05 · LEARNFeed structured feedback back into the next prompt version.
RUN MANIFEST
{
  "character": "character-01",
  "channel": "short-video",
  "revision": 3,
  "gates": ["voice", "safety", "format"],
  "decision": "review"
}
QUALITY GATES
Voice consistencyPASS
Visual continuityPASS
Safety / policyPASS
CTA clarityREVIEW
DELIVERABLE SLICE

Character spec, agent run manifest, one end-to-end content batch, scored review sheet, revision policy, and an operator runbook.