How it works.
A voice and visual conversational layer, built to live inside a publisher's existing product, not replace it.
Context awareness
The layer reads what's on screen: the article's section, author, and the reporting itself, so every answer is scoped to that piece, not a search across the open web.
Voice and visual
Readers ask by voice or text; the response comes back as both spoken audio and on-screen text, quotes, and links: no app switch, no typing required to get an answer.
Discovery built in
Every answer closes with a pointer to the next relevant piece in your archive, so a single question can turn into a longer session.
Personalization
Across visits, it remembers the beats a reader follows, so a later conversation can pick up from where the last one left off.
How it integrates.
Share a reference voice
You provide a short reference voice sample. Acclaim, the voice-AI engine behind Let's Talk.AI, matches it, so readers hear your brand, not a generic assistant.
Drop in the SDK
One scoped snippet goes into your existing article template. No replatform, no new CMS, no migration of your archive.
Go live in weeks
We map the exact integration to your stack live in a demo, then ship it inside your normal release cycle.
<script
src="https://cdn.letstalk.ai/sdk.js"
data-archive="your-publication"
async
></script>Illustrative: the real snippet is scoped to your stack during onboarding
See it on one of your own articles.