Browser agents often pause with cached page evidence, then resume after the page, account, cart, or approval has changed. Resume proof receipts make the agent verify old context before it clicks, submits, books, buys, or publishes.
A browser AI agent can be technically on the right page and still be using stale evidence. The receipt connects cached observations, refreshed page state, approval scope, and next action.
Before the browser agent pauses, save the evidence it will rely on later: URL, page title, active account, selected item, price, visible fields, screenshot, approval text, and expected next action.
Pair receipts with Super's computer-use cache so cached evidence is never reused silently.
Use text message AI assistant approvals when drift requires a human decision.
Use receipts before AI agent website building deploys from reviewed browser output.
Old value, current value, drift classification, approval status, live-state validation, and the route: continue, refresh, ask again, or stop.
A browser agent should never resume from cached evidence without proving the page still matches.
This workflow fits browser agents that pause for user review, rate limits, external confirmation, or scheduled continuation.
Save URL, account, selected object, page fields, visible price, screenshot, and planned action.
Reload or revisit the source before relying on cached page observations.
Name every changed field and classify whether it is harmless or material.
Confirm the prior approval still applies to the current page, amount, recipient, and destination.
Check active account, form state, permissions, and target before clicking or submitting.
Show the result to the user and store it for the next agent run.
Use these rules in the browser agent prompt and orchestration layer.
Refresh the source before action.
Ask again when price, recipient, page, or destination changes.
Browser agents often fail by acting in the wrong session.
The next run should read the proof without replaying the chat.
These references ground resume receipts in AI risk management, excessive-agency controls, and practical browser-agent oversight.
Useful for governance, measurement, documentation, and context-specific AI risk management.
Open NIST AI RMFRelevant for excessive agency, tool misuse, prompt injection, and oversight failures.
Open OWASP LLM Top 10Reference workflows for browser context, cached work, text approvals, and generated websites.
Open SuperShort answers for teams adding receipts to browser agents.
Before any delayed click, form submission, purchase, schedule change, or publish action.
No. Screenshots are evidence inside the receipt, not the receipt itself.
Any change to account, price, item, recipient, destination, form state, or approved output.
The agent should stop, explain the mismatch, refresh evidence, and ask for approval again.
Resume proof receipts help browser AI agents continue only when context still matches.