Audit logs explain what an agent already did. Resume proof receipts verify what a paused personal AI agent checked before it continues. The distinction matters most when agents reuse approvals, cached browser state, or reviewed public output.
Personal AI agents need both, but they belong at different points in the workflow. Confusing them creates a dangerous gap at the resume moment.
A resume proof receipt is generated before an agent acts after a pause. It compares old evidence with fresh evidence, checks whether user approval still applies, validates live state, and routes drift to review.
Audit logs are useful after execution. They capture tool calls, timestamps, actors, outcomes, and errors.
Resume receipts help the agent decide whether to continue, refresh, stop, or ask again.
A log cannot stop an agent from reusing an approval that became stale before action.
Super-style agents can show resume receipts around text message AI assistants, computer-use cache, and AI agent website building.
The product question is not whether receipts replace logs. It is whether the user gets proof before the action happens.
Use a receipt to confirm recipient, message body, approval wording, and current context before a text agent sends.
Use a receipt to confirm active account, page, visible values, and form state before a browser agent clicks submit.
Use an audit log to preserve what happened, what tools ran, and what result was produced.
When stale context causes a bad run, train the system prompt: always verify before resume and always ask again on material drift.
Use this checklist when deciding whether a workflow needs a receipt, a log, or both.
If the agent is about to send, submit, buy, schedule, or publish, show pre-action proof.
If the action already happened, preserve a durable event history for review.
Changed price, recipient, account, draft, or destination invalidates old approval.
Users need old value, new value, approval status, live-state check, and next route.
These references frame resume receipts and audit logs as complementary oversight controls.
Useful for governance, measurement, documentation, and managing context-specific AI risk.
Open NIST AI RMFRelevant for excessive agency, tool misuse, prompt injection, sensitive data, and oversight failures.
Open OWASP LLM Top 10Reference workflows for text approvals, browser context, cached work, and generated web output.
Open SuperQuick answers about resume proof receipts and audit logs.
No. Receipts are pre-action verification. Logs are post-action history. Mature agent systems need both.
Use it when a delayed agent is about to reuse old evidence, cached browser context, or prior approval.
Tool calls, timestamps, actor, result, error, and final state after the action.
Old evidence, current evidence, approval scope, live state, drift classification, and recovery route.
Resume proof receipts close the gap before personal AI agents act from old context.