Agentic videos by D-ID

This works excellent as an onboarding simulation!

Given the 100FPS rendering capability are you targeting use cases like live streaming or gaming avatars as well or is the focus primarily on business communication and marketing content?

What does onboarding look like for a brand that wants a consistent Digital Person as a recurring spokesperson across multiple campaigns rather than a one off video?

How does D-ID approach voice cloning and lip sync accuracy across different languages? Is quality consistent for non English markets too?

Curious about the API is it built more for developers wanting full customization or can no code teams plug it into existing workflows without heavy engineering support?

This solves something I've run into constantly with onboarding videos at work. Someone watches the whole thing, still has one specific question that wasn't covered, and either sends an email that takes days to get answered or just guesses and moves on. The idea of the video itself being able to handle that follow-up in real time is genuinely useful. Congrats on the launch!

For teams already using video for sales enablement what's the typical turnaround time from uploading content to having a deployable Digital Person ready to embed?

Love the self service studio angle how much technical knowledge does a marketer or content creator actually need to go from a script to a finished Digital Person video?

The insight about viewer questions revealing intent is really compelling. Can creators see a breakdown of which questions come up most, so they can improve future videos based on what people actually want to know?

Interesting concept but I'm skeptical about real-world adoption here. Most people don't naturally stop a video to interrogate it - the passive viewing habit is deeply ingrained. The creator insight angle is the most compelling part to me, but that only works if you get enough people to actually interact in the first place. Would love to see some retention and engagement data from early pilots before getting too excited. What are you seeing from actual users so far?

Congrats on the launch! With 100FPS streaming ready rendering what kind of latency are you seeing in real time conversational use cases like customer support avatars?

How well does this hold up on longer videos? Like if it's a 30 min training video does the avatar stay context-aware the whole way through or does it start losing the thread after a while?

Okay this is a smart pivot ngl, instead of trying to make "better" videos you just made the video answer back. What happens if someone asks something totally unrelated to the content though?

This looks really useful — clean execution. How does it handles user interactions?

We started from the question "what if the video itself could respond?" Not a chatbot sitting next to the video, but the actual video. The result is a new content primitive: your existing video library becomes a two-way experience, embeddable anywhere, with no re-recording needed.And let's also not forget about the insight behind Agentic Videos - a viewer who pauses and asks questions tells you more about their intent and knowledge gaps than a thousand passive completions ever could.Would love to hear from L&D teams, enablement folks, and anyone who's ever wondered why video analytics stop at "watched 80%" - this one's for you.