AI Text-to-Speech Playback
Read app content and AI answers aloud, with a voice and speed the user controls.
What it adds
A playback control that speaks selected content aloud with voice, speed, seek, and stop controls.
What your agent is told to do
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What your agent is told to do
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Pick the content genuinely worth hearing — long answers, articles, briefs — and put the playback control beside the text rather than in place of it.
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Generate long content as ordered segments and queue the next one while the current is playing, so playback is continuous and a pause and resume returns to the same position instead of restarting a segment.
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Authorize the text before synthesizing it, using the same permission check that governs reading the record. Otherwise playback becomes a route to hear content the account cannot open.
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Cache generated audio against the text and the voice settings that produced it, and invalidate that cache when the text changes. Regenerating identical audio on every replay is a bill with no benefit.
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Do not treat this as the app's accessibility story. Screen reader users need correct semantics and readable markup; spoken playback is a convenience layered on top of that, not a replacement for it.
Edge cases it handles
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Edge cases it handles
8- Segment boundaries are where playback goes wrong. A gap between segments, or a sentence repeated because a segment restarted, is immediately obvious to a listener.
- Changing the underlying content, navigating away, or editing the text mid-playback must stop the audio at once and discard the queued segments, not carry on reading the previous version.
- Only text the current user is permitted to read may be sent for synthesis, and a cached audio file must not be servable to another account by guessing its address.
- Written text, transcripts, and controls must remain on screen. Content that exists only as audio is unreachable for anyone who cannot or does not want to listen.
- Provider failure, an unsupported language, and a voice that has been withdrawn are three different problems. Fall back to another available voice where sensible, and otherwise leave the text readable with the control disabled and explained.
- Mobile browsers block audio that starts without a user gesture, and playback stops when the tab is backgrounded on some platforms. Start only from an explicit action and restore position when the user returns.
- Cap the amount of text synthesized in one request and per account per period, because a listener who starts playback on a very long document can otherwise run up cost in a single click.
- Code blocks, tables, URLs, and markup read aloud badly. Strip or summarize them before synthesis rather than spelling out punctuation.
Definition of done
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Definition of done
9- Playback of long content is continuous, with no gap or repeated passage at segment boundaries.
- Pause, resume, seek, speed, and voice selection all work and the position survives a pause.
- Changing or leaving the content stops playback immediately and clears the queue.
- Synthesis and cached audio are both restricted to text the requesting user may read.
- Repeated playback of unchanged text serves cached audio rather than generating again.
- A provider outage, unsupported language, or removed voice leaves the written content fully usable with a clear explanation.
- Per-request and per-account synthesis limits are enforced.
- The feature matches the existing design system.
- No existing functionality is broken.
Related features
Multimodal Image Analysis
Multimodal Image Analysis
Let users ask questions about screenshots, photos, charts, and interface images.
What it does
Image input on AI conversations, with safe downscaling, grounded answers, and defined retention of derived copies.
How it works
- 1 Prepare images before they are sent: correct orientation, strip location and camera metadata, and downscale to the smallest size that still keeps small text and fine detail legible.
- 2 Require the answer to distinguish what is visible in the image from what is inferred, and to say when the image is too low in quality to support a conclusion.
- 3 Label and reference images explicitly when more than one is attached, so a question about the second chart is not answered from the first.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/multimodal-image-analysis
AI Changelog Drafting
AI Changelog Drafting
Turn merged work into a changelog draft written for customers, not for engineers.
What it does
A grouped, customer-facing changelog draft generated from merged work items or release notes for a nominated release, held for review before publishing.
How it works
- 1 Take the set of work items belonging to one nominated release as input, and require each item to carry a shipped marker before it is eligible. Unreleased and reverted work must be excluded at the input stage, not filtered out of the prose afterwards.
- 2 Rewrite each item as the outcome a customer notices rather than the change that was made, and keep a link from every drafted line back to the underlying item so a reviewer can check it.
- 3 Group related items under headings the reader would recognise, and keep fixes as their own visible section rather than absorbing them into a feature summary.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/ai-changelog-drafting
AI Image Captioning
AI Image Captioning
Describe images so they can carry a visible caption and be found by search.
What it does
A generated description stored per image, offered as a draft caption and indexed for search.
How it works
- 1 Store the generated description in its own field and decide explicitly whether each surface shows it, indexes it, or both. Do not write it into the alt attribute, which belongs to AI Image Alt Text and answers a different question.
- 2 Offer the description as a draft caption the user can accept or rewrite, and leave any caption a human already wrote untouched unless they explicitly ask for a replacement.
- 3 Index the description alongside the image's existing metadata so images become findable by what is in them, and reuse the app's existing search infrastructure rather than adding a parallel one.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/ai-image-captioning
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.