Official-source-backed technical resource
Review identity and status during streamed AI replies
Keep participant identity clear while a response streams, stops or fails. Includes a free implementation worksheet.
Short answer
Keep participant identity clear while a response streams, stops or fails. Test partial messages and retry states without implying that a human is typing.
Download the blank working record (.md)
When to use this guide
A chat displays Sarah is typing while the model streams an answer under a human-style support profile.
This is a fictional implementation scenario. The procedure below is Article 50 Hub's suggested working method, not a prescribed legal form, a customer result or a claim that every step is an additional statutory requirement.
Review procedure
-
Record the participant and status labels used during generation.
-
Test slow streams, interrupted responses and user cancellation with synthetic prompts.
-
Inspect how partial messages and retries are attributed in the transcript.
-
Correct misleading status wording and preserve evidence for each state.
What the example review finds
-
The typing label implies a human participant.
-
A retry duplicates a partial response under a different author label.
Keep these example observations separate from your own results. An unknown or untested state should stay open until the relevant evidence has been inspected.
Fields for your working record
-
Stream state
-
Participant label
-
Status text
-
Retry behavior
-
Transcript evidence
Use the downloadable blank worksheet linked on this page to connect the observed behavior with the deployed system. Add a reviewer, date, evidence reference, unresolved questions and a next action. The worksheet is editable locally and does not upload your records to Article 50 Hub.
Completion and handoff
Close the task only for the scope actually reviewed. Preserve the result that another authorized reviewer can reproduce, identify the owner of remaining work, and record a retest when the implementation changes. A completed worksheet is not a substitute for the underlying evidence.
Decision boundary
Accurate streaming labels do not establish output accuracy or determine all applicable content-marking obligations.
The official references below provide legal or technical context. Resolve applicability and exception questions with the responsible qualified reviewer; use the product's tools to organize implementation work within that assessment.
Official sources
Last reviewed: 2026-09-23. This is technical implementation information, not legal advice.