Text AI agents need more than short approval prompts. A handoff log gives the user state, blocker, evidence, and the next safe action in the same channel where they already make decisions.
The user receiving a text approval does not want a chat replay. They want a compact explanation of what the agent did, what it cannot safely finish, and what response will move the work forward.
One message should carry the summary. Link to deeper receipts only when the user needs to inspect evidence.
The user should see exactly why the agent stopped: missing permission, sensitive context, weak evidence, or a boundary conflict.
Text workflows work best when the user can reply with simple controls like YES, EDIT, WAIT, or MORE.
Super is relevant when text is the approval surface for agents doing real work. Its text message AI assistant pattern shows why the handoff should be concise enough to act on from a phone, while still linking to evidence and receipts.
The handoff should preserve enough context that the user can decide quickly and the agent can continue without rebuilding the whole task.
Describe what is already done and what remains open. Avoid internal reasoning; show operational facts.
Use short references in the text and deeper links behind the scenes. Super's computer-use cache pattern is useful when browser state or source context needs to survive the pause.
The user should not have to parse a menu. Ask for the smallest next decision and make the fallback safe.
When an agent produces public work, such as in Super's AI agent website building workflow, the handoff should point to what changed and what the user approved.
Use this checklist when evaluating text-first agent tools or building your own approval loop.
The short handoff should be readable without opening a dashboard.
YES, NO, EDIT, WAIT, and MORE are often enough for a useful control surface.
The next run should know what to do after the user responds, without rebuilding context from scratch.
Text should stay compact, but a receipt should preserve sources, browser context, approval path, and outcome for later review.
Good handoff logs batch context into one clear decision instead of sending many low-quality pings.
These references help frame handoff logs as part of agent oversight, risk management, and human approval design.
Useful for governance, measurement, documentation, and managing AI risk across operating contexts.
Open NIST AI RMFRelevant for excessive agency, tool misuse, prompt injection, sensitive information, and oversight patterns.
Open OWASP LLM Top 10Reference workflows for text approvals, browser work, cached computer-use context, and agent-created public artifacts.
Open SuperPractical questions about adding handoff logs to text AI agents.
No. Use handoff logs when the agent pauses for approval, risk, missing evidence, or human review. Routine confirmations can stay shorter.
A normal approval prompt asks for permission. A handoff log explains state, blocker, evidence, and next safe action so the user can decide without guessing.
Yes. That is often the best use case. The log should reference cached browser state, source links, and any form or tab that the agent touched.
Keep the reply vocabulary small. YES, EDIT, WAIT, MORE, and STOP cover most text-first approval moments.
A text AI agent feels calmer when every pause includes the state, the blocker, the evidence, and the next safe action.