Streaming AI Responses
Show AI output as it is generated so long answers do not look frozen.
What it adds
Incremental rendering of model output as it arrives, with a persisted authoritative copy once the stream closes.
What your agent is told to do
5
What your agent is told to do
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1
Find the AI surfaces where the user waits on a long response and stream those. Short classification or extraction calls do not benefit and should stay as plain requests.
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Buffer incoming bytes until they form complete characters and complete structural units before rendering, so partial output never appears as broken glyphs or half-open markup.
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Treat the streamed text as provisional. When the stream closes, persist the provider's final message as the authoritative record and reconcile what is on screen against it.
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Give every stream a wall-clock ceiling and a stall detector, and surface a stalled or dropped stream as a clear failed state with whatever partial text arrived kept and labelled.
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Do not build a second, non-streaming code path for the same feature. Stop and Regenerate Controls owns cancellation and re-running; this entry owns transport and rendering, and the two must share one request lifecycle.
Edge cases it handles
8
Edge cases it handles
8- Chunk boundaries fall in the middle of multi-byte characters and inside code fences, tables, and structured blocks. Hold incomplete units in a buffer rather than rendering whatever arrived.
- A user who cancels expects the work to stop, not just the text to disappear. Abort the upstream request so generation actually ends and no further usage accrues.
- The rendered stream is not the record. Persist the final response when the stream closes, and if the connection dropped before that, persist the partial text explicitly marked as incomplete.
- A reconnecting client must resume from a known position or replay from the persisted record. Naively re-subscribing produces duplicated paragraphs in the transcript.
- Safety flags, citations, and attribution often arrive after or alongside the text they describe. Hold rendering of the affected span, or attach them retroactively, so a citation never points at the wrong sentence.
- Proxies and load balancers buffer responses, which turns a stream into one long pause followed by a wall of text. Confirm the response actually flushes end to end in the deployed environment.
- A stream that produces no tokens for a long interval is indistinguishable from a hung connection unless a heartbeat or stall timeout exists.
- When streaming is unavailable, the feature must degrade to a normal request with a pending state rather than failing outright.
Definition of done
8
Definition of done
8- Long AI responses render incrementally and no partial chunk produces corrupted characters or broken structural blocks.
- Cancelling a stream aborts the upstream request rather than only hiding text.
- The final response is persisted as the authoritative record when the stream closes, and incomplete streams are stored and labelled as such.
- Reconnecting after a dropped connection produces no duplicated or missing text.
- Citations and safety metadata stay attached to the correct spans of streamed content.
- Streaming and non-streaming paths share one request lifecycle, and streaming failure degrades to a plain pending request.
- 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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1
Copy the link
Grab the Markdown instruction URL for this feature.
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2
Give it to your AI
Paste it into Claude Code, Cursor, v0, Lovable — whatever you build with.
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3
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.