Customer support · Production

TIME launches conversational AI journalism platform powered by ElevenLabs and Scale AI

The problem

Traditional journalism offered no interactive or conversational way for audiences to engage with articles, limiting how readers could explore and understand the content.

Workflow diagram · grounded in source
1
Reader triggers toolbar
trigger
“The interactive TIME AI toolbar provides instant access to audio, translation, summarization, and AI chat with robust safeguards that ensure ethical AI usage”
2
Proprietary data preparation
ai_action
“Scale AI combined TIME's proprietary data, —spanning its rich archive, data about relevant current events, and custom guardrails to keep the model on-topic and as safe for use”
3
AI voice agent responds
ai_action
“Readers can speak with an AI voice agent that has context on the story, deepening their understanding in a new and engaging way”
4
Human-like speech delivered
output
“The human-like, low latency speech, and ability to respond naturally to interruption, is powered by our AI Agents platform”
Reported outcome

TIME AI launched a conversational toolbar enabling readers to get immediate answers, audio, translation, and summarization from TIME's journalism via an AI voice agent.

Reported stack
ElevenLabs Conversational AIScale AI
Source
https://elevenlabs.io/blog/time-brings-conversational-ai-to-journalism
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

TIME AI launched a conversational toolbar enabling readers to get immediate answers, audio, translation, and summarization from TIME's journalism via an AI voice agent.

What tools did this team use?

ElevenLabs Conversational AI, Scale AI.

How is this customer support AI workflow structured?

Reader triggers toolbar → Proprietary data preparation → AI voice agent responds → Human-like speech delivered.