AI Message Editing
Rephrase an earlier message and get the conversation regenerated from there.
What it adds
In-place editing of a previously sent user message, with the original preserved and the responses below it regenerated.
What your agent is told to do
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What your agent is told to do
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Make editing produce a new version of the message rather than overwriting it, and keep every prior version retrievable for audit and undo.
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On save, invalidate only the responses descending from the edited message and regenerate from that point, leaving earlier turns and unrelated branches untouched.
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Restrict editing to messages the user authored. Model output is regenerated, not hand-edited, or the transcript stops being a record of what the model said.
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Re-resolve attachments, retrieved sources, and citations against the edited message, and refuse to carry forward a reference that no longer applies.
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AI Conversation Branching owns the message graph and navigation between versions. Implement an edit as a fork in that graph rather than as a destructive rewrite, and do not build a second history mechanism.
Edge cases it handles
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Edge cases it handles
8- The original text must survive the edit. Keep every version with its author and timestamp, so an edit can be undone and the record of what was actually asked is not lost.
- Regeneration must invalidate the descendants of the edited message only. Discarding the whole conversation, or leaving stale answers below the edit, both misrepresent the thread.
- If a downstream turn already performed a real action such as sending, purchasing, or writing to another system, editing above it cannot undo that. Warn explicitly and name what already happened.
- Attachments and citations attached to the old text may be irrelevant to the new. Re-resolve them, and drop any whose source has since been deleted rather than rendering a broken reference.
- A conversation someone else is viewing or has a link to must not change silently underneath them. Show that it was edited and when, and decide whether shared links pin the version they were shared at.
- An edit that produces no meaningful change should not trigger a regeneration and a fresh charge.
- Editing while a response below is still generating must cancel that run first rather than racing it.
- Usage and quota accounting must treat the regeneration as a new run, and the counting rule should match the one used by Stop and Regenerate Controls.
Definition of done
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Definition of done
9- Editing preserves every earlier version of the message with author and timestamp.
- Only descendants of the edited message are invalidated and regenerated.
- Model output cannot be edited by hand; only user-authored messages are editable.
- Downstream tool actions that already occurred are surfaced as a warning and never silently reversed.
- Attachments and citations are re-resolved, and stale references are dropped rather than shown broken.
- Shared or concurrently viewed conversations show that an edit occurred rather than changing silently.
- Edits are implemented as forks in the conversation graph, not destructive rewrites.
- The feature matches the existing design system.
- No existing functionality is broken.
Related features
AI Chat Attachments
AI Chat Attachments
Attach files to a conversation and let the assistant use what it is allowed to read.
What it does
File upload on an AI conversation, with parsing, retrieval of relevant sections, and per-conversation access scoping.
How it works
- 1 Reuse the app's existing upload, storage, and virus-scanning path rather than adding a second one, and declare an explicit list of accepted file types and a size ceiling per file and per conversation.
- 2 Parse each attachment into text and structure in a background job, store the result, and show the attachment as pending until parsing succeeds so the user is never told the assistant has read something it has not.
- 3 Retrieve and send only the sections relevant to the current question. Sending whole documents on every turn burns the context window and the budget for no gain.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/ai-chat-attachments
AI Suggested Support Answers
AI Suggested Support Answers
Give support agents a grounded first draft instead of a blank reply box.
What it does
A draft reply composed for the agent from the ticket, the customer's account state, and the approved internal knowledge, with sources attached and no ability to send itself.
How it works
- 1 Ground every draft in retrieved material: the ticket thread, the account's real state, and articles from the approved knowledge set. Attach the sources used to the draft so the agent can open and check each one.
- 2 Load the draft into the agent's normal reply editor, unsent and fully editable. There is no path in this feature that sends a message to a customer without an agent pressing send.
- 3 Define the commitments the app is not allowed to make in a draft — refunds, credits, delivery dates, guarantees of a fix — and strip or refuse any draft containing them, leaving that part for the agent to write.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/ai-suggested-support-answers
AI Conversation Branching
AI Conversation Branching
Explore an alternate path from an earlier message without losing the original.
What it does
A message graph that lets a conversation fork at any point, with each branch keeping its own history and active state.
How it works
- 1 Change the conversation's storage from an ordered list to a graph where every message names its parent, and migrate existing conversations into that shape as single-path graphs.
- 2 Define the active branch as a stored pointer to a leaf message, and derive everything rendered from the path between the root and that pointer.
- 3 Give each branch its own summary, memory, and derived context. Carrying one summary across siblings leaks the abandoned path back into the new one.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/ai-conversation-branching
How it works
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Copy the link
Grab the Markdown instruction URL for this feature.
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Give it to your AI
Paste it into Claude Code, Cursor, v0, Lovable — whatever you build with.
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It inspects, then implements
Your agent reads your existing app first, then adds the feature to fit it.
Works with your stack
These instructions are written to adapt. They tell the agent to detect your framework, match your existing design system, and reuse what you already have — rather than assuming a particular stack.
Need it tighter than that? Customize the feature and tell it exactly what you're running.