Building on-demand video sessions with AI chat in MindStudio

Community Discussion
1

Hi @Alex_MindStudio (and community),

I’m trying to understand if MindStudio could be used to build something like an automated, on-demand interactive video presentation platform. Before I invest time designing the flow, I’d love your expert input on feasibility and approach.

The concept I want to build:

  • A pre-recorded video plays automatically on a schedule (or on-demand), with no live host required

  • At specific timestamps during the video, interactive elements appear — such as polls, quizzes, questions, CTAs, or special offers — triggered by the video timeline

  • Each viewer gets a personalized welcome message and can interact via a chat interface during the session

  • If no one is available to respond live, the chat falls back to an automated AI response

  • After the session ends, automated follow-up messages are sent to attendees based on their interactions

  • The whole experience is accessible via a branded registration page and supports integrations with external tools via webhooks/APIs

My specific questions:

  1. Is this kind of experience architecturally feasible in MindStudio?

  2. Which blocks/features would you combine to handle:

    • Timed interactions synchronized with video playback?

    • Personalized automated messaging per user session?

    • Capturing and routing responses (polls, Q&A)?

  3. Is the User-facing Web App deployment the right entry point for this?

  4. Are there known limitations that could make this impractical — for example, around video playback sync or managing concurrent user sessions?

Any high-level architecture overview or pointer to relevant features would be incredibly helpful.

Thanks!

2

Hi @Fjmtrigo,

Thanks for the detailed post!

Most of what you’ve described can be powered by MindStudio agents. However, the better approach is a two-layer setup: your own custom frontend takes care of video playback, user authentication, and session management, while MindStudio agents handle the personalized AI automation behind the scenes.

Then, you can call agents via the API at the right moments: when a viewer joins, when the video reaches a timestamp, when a message goes unanswered, and when a session completes. Each of those is a focused automation that agents handle really well.

Here’s how your Agents may look:

  • Personalized Welcome Agent: trigger an agent via API with the necessary user data, so it generates the message and sends it back to your frontend
  • Fallback Chat Agent: when your frontend timer detects no reply from a person, an API call passes the chat log along with the video transcript and prompts the Agent to respond to a specific message
  • Follow-up Messages Agent: trigger an agent per attendee after the session, so it reviews their interaction history and sends a personalized follow-up via the Send Gmail block or passes it to your CRM
  • Quizzes Agent: pass the video transcript to an agent and use the User Input with a Custom Interface. The frontend should then trigger the iframe to display at a specific timestamp

The main things to plan around are video sync, user management, and timestamp automations, since those need to live in your custom frontend. Once that is configured, the agents can handle all the personalized AI automation.

Hope this helps!