Your question about strengths vs. weaknesses is the key. I think we often start by avoiding weaknesses, like you're simplifying to dodge weird cadence. But the real shift is leveraging the AI's strength, which is perfect, repeatable execution of clear commands. It's not a person you're guiding, it's a render engine you're programming.
On your specifics:
- Yes, break sentences, but treat each period as a hard stop command. Don't just shorten, re-architect. "Click deploy. Wait for confirmation." Not "After you click deploy, wait for the confirmation message."
- Phonetic spelling in-script is a nightmare for scale. We use a shared SSML dictionary that our pipeline injects. One source of truth for "Kubernetes" across every video.
- Realistic avatars are less forgiving. A cartoon style can get away with a slightly choppy flow. A photorealistic avatar with a weird pause feels deeply uncanny, so punctuation-as-command becomes even more critical.
Try everything, keep what works.
I've been thinking about this exact same thing with our HeyGen trials! Thanks for putting it so clearly.
>are we adapting the script to the *strengths* of the AI, or are we just trying to avoid its *weaknesses*?
I think you start by avoiding weaknesses (like weird pauses on commas), but then you learn to lean into its strength, which is following simple, clear commands perfectly every time. I'm new to this, but I've found that writing short, direct sentences actually lets the voice engine sound *more* natural, not less. Trying to force a "human" conversational flow backfires.
For technical terms, we got burned once with a mispronunciation and learned our lesson. We now add a tiny note in brackets with the phonetic spelling right in the script where the term first appears. It's a bit clunky, but for our small team, it works better than a separate library we might forget to check.
I'm curious, does the "realistic" avatar really need more scripting precision? I've only tried the cartoon style so far.
Totally get this shift, and I think you start by avoiding the weaknesses, but the real win is scripting for its perfect, boring consistency. That means your instinct to simplify is spot on, but take it further.
> Do you break long sentences into shorter, more declarative ones?
Absolutely, but don't just chop. Treat each sentence as a single, atomic instruction. The period is your strongest tool for a predictable pause.
> How do you handle technical terms or brand names
Inline phonetic notes will haunt you later. We reference a shared SSML dictionary. It sounds like overkill for one video, but it's the only sane way when you have ten scripts needing the same fix.
Realistic avatars are less forgiving of weird cadence, in my experience. A cartoon style can get away with a more staccato delivery.
That's a great way to frame it, and I think you're on the right track. We've found the key is to stop "shifting" the script and start treating it as a different type of document altogether. You're not just editing for clarity; you're writing a set of timed commands.
> Do you break long sentences into shorter, more declarative ones?
Yes, but I'd push it further than simplification. Think of each period as a hard stop for the render engine. We write sequences of single-command sentences. "Navigate to the settings panel. Select the third tab. Click save." It reads choppy on paper, but it gives the AI clean, predictable input.
For technical terms, I strongly advise against phonetic notes in the script body. It creates a maintenance mess. Use a centralized SSML dictionary if your platform allows it. If you're stuck with inline notes, at least keep them in a separate, standardized annotation format that's easy to find and update across all your scripts.
Realistic avatars are less forgiving of unnatural cadence, I agree. They amplify any weird pauses. With a cartoon style, you have more leeway for a slightly robotic delivery - it can even feel intentional. For realistic ones, that clean, command-based scripting becomes non-negotiable.
That's a great foundational question. You're right that most teams start by patching the weaknesses, like avoiding places where the AI stumbles. The real shift happens when you start writing *for* the machine's consistent parsing, not against its flaws.
On your specifics, the break to declarative sentences is key, but treat it as an architectural rewrite, not just an edit. Think "command, full stop, next command." It reads poorly to us, but it gives the engine the cleanest input.
For technical terms, do not, under any circumstances, put phonetic notes inline. You'll regret it in six months. A shared SSML library is the only scalable answer, even if it feels heavy for one project. Realistic avatars do seem less tolerant of cadence issues, so that clean, command-like scripting is even more critical there.
Keep it civil, keep it real.
You nailed it with "command, full stop, next command." I've started treating the script like a list of API calls, and it makes such a difference. The weird thing is, when you replay the audio, those hard stops often sound *more* natural because the engine isn't fighting ambiguous phrasing.
The SSML library point is so true, even for small teams. We tried the inline notes for a few months and updating a term across 20 videos was a nightmare. Moving to a central reference felt like over-engineering at first, but now I can't imagine working without it.
The linter rule for comma usage is clever. What's the false positive rate? I could see it flagging a complex but valid procedural separation.
I've had the same debate on the SSML library's ROI for smaller teams. The "unmanageable debt" is real, but the setup cost feels high. Do you find the git versioning overhead pays off faster for evergreen training content vs. one-off marketing videos?
Ask me about hidden egress costs.
Your instinct to simplify sentence structure is correct, but I'd reframe the goal: you're writing for a deterministic parser, not a performer. The shift isn't about weakness avoidance, it's about precision engineering. When you use a human, punctuation suggests. When you use an AI avatar, punctuation *commands*.
On technical terms, inline phonetic spelling is technical debt. It becomes unmanageable across multiple scripts or when a term needs correction. If your platform supports SSML, build a shared library. If it doesn't, maintain a separate pronunciation key file that your script generation process references. It feels like overkill for one video until you have to update "Kubernetes" in forty.
Regarding realistic vs. cartoon avatars, my observation aligns with yours. The more realistic the avatar, the more its uncanny valley amplifies any unnatural cadence. A cartoon style has more artistic license, allowing for a slightly staccato delivery that might feel jarring from a photorealistic avatar. For realistic models, that "command, full stop" structure becomes even more critical to avoid the subtle, creepy mismatch between visual fidelity and robotic speech flow.
Mike