# Regenerating an AI response: when to offer it and what happens to the previous one > Regenerating an AI response asks for another version of the same prompt. How to design the button, what happens to the old answer and when to branch. *Tags: ai, ux, interfaces, conversation* --- > [!info] Quick Definition > **Regenerating a response** means asking an AI model for another answer to the same message, without changing the question. Because the model generates with variation, the new version can differ. The design must decide what happens to the previous one: it is replaced, accumulated or branched. ## What is regenerating for? A response can be correct and still not be useful. Maybe it is too long, has the wrong tone, or takes an approach that does not fit what the person needs. Regenerating lets them ask for another version without rewriting anything. It is also useful for comparing. Someone drafting a text may want two or three options before picking one. In that case, regenerating is not an attempt to fix a mistake, but a way to explore. There is a subtler use too: when an answer looks doubtful, regenerating and comparing the versions helps spot inconsistencies. Anthropic's guide to reducing hallucinations calls this "best-of-N verification": run the same prompt several times and compare, because inconsistencies across outputs can indicate hallucinations. The same guide warns that its techniques reduce hallucinations but do not eliminate them, so anything important still needs validating. Technically, regenerating usually means removing the last assistant response from the context and running the model again. Trigger.dev describes it this way in its branching pattern: it removes trailing assistant messages until the context ends with a user message. ## What happens to the previous answer? There are three possible designs: 1. **Replace.** The new answer substitutes the old one. It is simple, but it destroys something the person might want, and it is the worst case if the first version was better. 2. **Accumulate without relationship.** Answers are added one below the other. This works for two attempts, but gets confusing with more. 3. **Branch.** Each answer is a branch of the same message, and the person switches between them with a small control, such as arrows with a counter ("2 of 3"). In assistant-ui, for example, reloading an assistant message creates a new branch and re-runs from there. The third option fits how a conversation actually works best, and it is the basis of [[conversation-branching|conversation branching]]. For the full history where those branches live, see [[conversation-history|conversation history]]. An article by Tianpan argues that a conversation is structurally a tree even though the interface treats it as a list, and that most products default to discarding whatever does not fit that list. As a homemade workaround, it describes researchers who open four browser tabs of the same chat and marketers who spawn fresh sessions and re-paste the brief into each. That trick, the author says, strips metadata and context. ## How do you design the button? - **Place it next to the response.** The message action bar is the natural spot: the person is already looking there when they decide the answer is not useful. - **Disable it while generating.** Regenerating during a response in progress creates confusing states. The assistant-ui guide describes exactly this case: the Reload action is disabled while the thread is running, and Trigger.dev recommends waiting for a response to finish before forking or switching branches. - **Show the branch control only when there is more than one.** With a single version there is nothing to choose. With two or more, it appears with its counter. - **Keep the previous version at hand.** Whoever regenerates must be able to compare without losing the first version. ## When to regenerate and when to edit the prompt? These are two different actions, and confusing them is a common design mistake: | Situation | Right action | |---|---| | The question is fine, the answer is not useful | Regenerate | | The answer is good but you want another tone | Regenerate or ask for an adjustment | | The question lacked context | Edit the prompt | | You want to explore another path from one point | Branch from that message | If you offer one action for both, the person does not know whether the AI misunderstood or they asked badly. That leads to regenerating a badly worded question again and again. The editing side has its own page, [[editing-the-prompt|editing the prompt after sending it]], and exploring alternative paths is covered in [[conversation-branching|conversation branching]]. If alternative versions are used to measure quality, a thumb or the choice of one of them is a useful signal. Read [[user-feedback-in-ai|user feedback in AI]] to see how to interpret it without fooling yourself. ## Example Illustrative example: a writing assistant generates the text of a product announcement. The first version is correct but too long. The person taps regenerate and a shorter version appears. The first one is not lost: a counter "1 of 2" and an arrow to go back appear. Later, the person wants a version with a different angle and does not know whether to regenerate or edit. The team adds a short help line: "Want another version of this answer? Regenerate. Was the question wrong? Edit it". To find out whether the line works, the team compares how often the same question is regenerated before and after the change. ## When should you not regenerate? When the answer depends on data that has changed, such as a query to an external system, regenerating can produce a different result without anything having improved. In that case it is better to run the query again and show the time of the new search. And if the response includes actions with effects, such as sending an email or creating a record, regenerating must not repeat the action without confirmation. ## What should you measure? If regenerating is part of your product, measure three things: 1. **How often the same question is regenerated.** A high number can mean the first answer did not work, or that the person did not know they could edit the question. 2. **How often the previous version is chosen after regenerating.** That means the new one did not improve anything. 3. **How many conversations end right after a regeneration.** If that happens often, regenerating may not have solved the problem and the person may have left. Read together, these numbers say more than the number of clicks on the button. Cross-checking them with corrections from [[user-feedback-in-ai|user feedback]] gives a fuller picture. ## Common mistakes - Replacing the previous answer with no way to recover it. - Allowing regeneration while the response is still being generated. - Using the same action to regenerate and to edit the prompt. - Showing a version counter when there is only one version. - Regenerating actions with external effects without confirmation. ## Sources - [Message Branching (assistant-ui)](https://www.assistant-ui.com/docs/guides/branching.md) - [Conversation branching is a first-class primitive (tianpan.co)](https://tianpan.co/blog/2026/04/23/conversation-branching-first-class-primitive) - [Branching conversations (Trigger.dev)](https://trigger.dev/docs/ai-chat/patterns/branching-conversations) - [Reduce hallucinations (Anthropic)](https://platform.claude.com/docs/en/test-and-evaluate/strengthen-guardrails/reduce-hallucinations) --- Source: https://www.fernandoux.com/en/wiki/ai/regenerate-response/