When an AI response misses the mark and the user's only recourse is to delete the message and retype the full prompt, abandonment spikes. Regeneration is the single most-used control in production AI interfaces because models are stochastic by design — the same prompt yields different outputs on each call, and users expect to resample without paying the typing tax. Missing this control also skews feedback signals: users who would have rerolled instead churn, and you lose the data that shows response quality varies.
Critical because it is a table-stakes control whose absence triggers immediate task abandonment on any unsatisfactory output.
Wire a regenerate action onto the last assistant message that re-sends the prior user turn with the same context. In a Vercel AI SDK project the reload() helper from useChat does this in one line; otherwise trim the last assistant message from state and re-invoke your submit handler with the last user message. See src/components/chat/message-actions.tsx for the component.
const { reload } = useChat()
<button onClick={() => reload()} aria-label="Regenerate response">Regenerate</button>
ID: ai-ux-patterns.core-interaction.regeneration-button
Severity: critical
What to look for: Count all AI response message components rendered in the conversation UI. For each, enumerate whether a "regenerate", "retry", "try again", or similar button/action is associated with the response. Look in message components, response card components, and any controls rendered below or alongside AI output. Check for click handlers that re-submit the last user message to the AI API, or that re-run the last generation. In React/Vue/Svelte, look for state transitions that reset the last assistant message and trigger a new completion request with the same prompt context. Before evaluating, extract and quote the handler function name or component prop that triggers regeneration.
Pass criteria: A button, icon, or action element exists that allows the user to regenerate the most recent AI response without manually retyping their prompt. The handler re-sends the previous context to the AI. At least 1 regeneration control must be present. Report the count of response components with regeneration controls. A static label like "Try Again" with no click handler does not count as pass — do not pass based on placeholder UI alone.
Fail criteria: No regeneration control found in message components or conversation UI. The user's only option when a response is unsatisfactory is to delete and retype their message.
Skip (N/A) when: The project does not contain an AI chat or completion interface (no AI SDK calls, no streaming response handling, no message list component detected). Signal: no ai, openai, anthropic, @ai-sdk, langchain, or similar AI library in package.json, and no streaming response handler in API routes.
Detail on fail: Describe what component the AI response is rendered in and that no regeneration action is present. For example: "AI responses rendered in MessageBubble component with no retry/regenerate button or handler".
Remediation: The regeneration button is one of the most-used controls in AI interfaces. Without it, every unsatisfactory response creates user friction.
Add a regeneration handler to your message component:
// In your message list or response component
const handleRegenerate = async () => {
// Remove the last assistant message from state
setMessages(prev => prev.filter((_, i) => i < prev.length - 1))
// Re-submit the last user message
const lastUserMessage = messages.findLast(m => m.role === 'user')
if (lastUserMessage) {
await submitMessage(lastUserMessage.content)
}
}
// Render below the last assistant message
{isLastAssistantMessage && (
<button onClick={handleRegenerate} aria-label="Regenerate response">
<RefreshCwIcon className="w-4 h-4" />
Regenerate
</button>
)}
With the Vercel AI SDK:
const { reload } = useChat()
// reload() re-sends the last message with the same model and settings
<button onClick={() => reload()}>Regenerate</button>