This Langflow flow implements an end-to-end pipeline for turning support emails into video responses.

It begins by connecting to Gmail and collecting new or labeled support emails. The system extracts the user’s question, product context, and relevant metadata (account tier, platform, version) when available. A clustering or routing step can group similar questions so you can generate one video that addresses many tickets.

Next, a retrieval step searches your help center or internal documentation using RAG. The flow retrieves relevant passages and uses them as grounded context, ensuring scripts are based on approved content rather than guesswork. This reduces hallucinations and keeps messaging consistent with your support standards.

A script generation stage transforms the retrieved context into a concise, step-by-step explanation optimized for video narration. The output can include a hook, troubleshooting steps, a resolution checklist, and a clear call-to-action (e.g., where to click next or how to contact support).

Finally, the workflow formats the script and parameters for Heygen video generation, producing a consistent package that can be sent to Heygen to render a professional video. Structured output can include the final script, source citations, and tags so videos can be indexed, reused, and published to your help center.

The flow can be extended for production support operations. Add integrations to Zendesk/Intercom/Help Scout to ingest tickets and automatically attach generated videos to replies. Store generated scripts, citations, and tags in a vector store so future questions can route to existing videos instead of generating new ones. Add approval gates so sensitive topics require human review before publishing, and implement analytics to track which videos reduce follow-up tickets. For richer outputs, generate thumbnails, titles, and help-center snippets automatically, and add a multilingual branch that translates scripts while preserving citations to source documentation.