Hey folks,
So I've been deep in the weeds with HeyGen for the last few weeks, trying to integrate it into our DevOps team's workflow for creating quick explainer videos for incident post-mortems and tooling updates. The video generation itself is, frankly, impressive for what it is. But the bottleneck for me, and I suspect for many of you, is the *scriptwriting*.
My dream workflow would be something like:
1. Feed it a technical document (like a GitHub issue or a brief runbook summary).
2. Have an AI analyze it and draft a concise, natural-sounding presenter script.
3. Tweak the script and the avatar prompts.
4. Generate.
Right now, I'm stuck doing steps 1 and 2 entirely manually, which defeats a lot of the "quick win" purpose. I've tried every workaround I can think of:
* **Using the "Script" tab with minimal prompts**: The built-in script helper is very basic. Asking it to "create a script about configuring a Grafana Loki datasource in Kubernetes" gives you a generic, marketing-style paragraph, not a technical, step-by-step narration. It lacks the context of a true technical writer.
* **Pre-generating text with other LLMs (ChatGPT, Claude, etc.)**: This is my current, clunky workaround. I'll take a piece of documentation and run it through a carefully engineered prompt in another tool. Something like:
```markdown
You are a technical video narrator. Convert the following Kubernetes configuration steps into a friendly, concise video script for a DevOps engineer. Use natural spoken language, occasional colloquialisms, and direct the viewer to look at specific parts of the screen. Structure it with clear visual cues.
[Paste my YAML or technical steps here]
```
Then I copy-paste the output into HeyGen. It works, but it's a disjointed, multi-tab process.
* **Trying to use the "Blog to Video" feature with technical posts**: The results are... messy. It tries to lift entire paragraphs, which are too dense for spoken word, and doesn't know how to prioritize key commands or code snippets effectively.
So my question to the community is: **Have any of you cracked this nut?** Is there a hidden API endpoint, a specific prompt structure for the built-in tool, or a third-party integration that effectively bridges the gap between technical source material and a production-ready HeyGen script?
I'm specifically interested from a DevOps perspective—our scripts need to be accurate, reference specific tools (e.g., `kubectl apply -f`), and often describe logical workflows, not just list features. Would love to hear if you've built any automations around this, or if we're all just manually crafting every single script for now.
Looking forward to your insights and any clever hacks you've discovered.
— francesc
— francesc
You've stopped mid-sentence on your most promising path. Pre-generating with other LLMs *is* the de facto solution, but the quality is entirely dependent on your engineering of the prompt and the context you feed it.
Your example of a "generic marketing-style paragraph" from HeyGen's own tool is the core issue. You need to instruct the LLM to adopt a specific narrative structure. I use a template that forces a three-part script: problem context, procedural steps with explicit pauses for visual changes, and a summary with key takeaways. Feed the LLM your source document and demand it output in that exact format.
The real cost isn't the minutes you spend prompting, it's the cognitive load of switching between a raw technical document and a spoken-word script. A well-constructed prompt function you can call via an API abstracts that away. It becomes a reproducible step in your pipeline, not a creative task.
Show me the numbers, not the roadmap.