A text approval newsroom turns a risky agent pause into a decision-ready phone screen: proposed action, proof, uncertainty, consent impact, and safe reply choices.
The human should understand what the agent wants before they read why. The interface should stay small, but the proof should be one tap away.
A text approval newsroom has five layers: the requested action, the reason the agent stopped, the evidence snapshot, the risk or uncertainty, and the reply controls. This is especially useful for text-message AI assistant workflows where the operator may approve from a phone notification.
Say what the agent will do if approved, in one sentence.
Attach source links, screenshots, cached browser state, or changed fields.
Record the human reply so future retries inherit the right boundary.
For browser work, connect to a computer-use cache. For publishing work, include planned URLs and rollback notes from AI agent website-building flows.
Make it readable in one glance. Make it inspectable in one tap. Make the approval reusable as consent history.
Explain what the agent was doing, what changed, and why it needs the human now. Keep the text brief enough for mobile.
Use the smallest evidence bundle that can support the decision. Do not force the operator through raw logs unless they ask to inspect.
Store the approve, reject, or edit outcome with the task so the agent can resume without silently changing consent boundaries.
These checks help product teams decide what belongs in a text-first approval surface.
If the operator cannot understand the decision in one phone glance, move details behind an inspect link.
The NIST AI Risk Management Framework is useful for risk governance, while the OWASP Top 10 for LLM Applications helps teams think about excessive agency and unsafe tool use.
Super helps frame practical personal agent workflows across text, browser, and generated work. Start at getsupers.com.
Track fewer reversals, fewer repeated clarifications, and whether users can later explain why they approved.