Underlord Adds Context-Aware Skills for Better Captions (Full Transcript)

A look at how Underlord will choose the right workflows and caption styles for long-form podcasts versus short clips using context-specific skills.
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[00:00:00] Speaker 1: What else is coming that you're excited about? It's related to context, actually. We want Underlord to basically understand when it needs to use a particular set of steps and preferences and workflows to accomplish a goal, depending on what the context of the goal is. To give you an example, there might be a caption style that works well with long-form podcasts, and it's probably subtle. It's an accessibility thing. But there's a completely different kind of caption style for a clip. You might want to be one word at a time, very punchy. And so if you're creating clips, you might want to pull a skill for clip creation. That's actually very different than a skill for long-form podcast creation. And this idea of splitting that context across use cases to get it actually in each use case without confusing it for any other use case is a thing that we're investing in. It's amazing.

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Arow Summary
Speaker discusses upcoming work on context-aware behavior for Underlord, so it can choose the right steps, preferences, and workflows based on a user’s goal. Example: caption styles differ by use case—subtle accessibility-focused captions for long-form podcasts versus punchy word-by-word captions for short clips—so the system should apply the correct “skill” for clip creation versus long-form production without mixing contexts.
Arow Title
Context-aware skills for different captioning use cases
Arow Keywords
Underlord Remove
context awareness Remove
workflows Remove
preferences Remove
skills Remove
caption styles Remove
long-form podcasts Remove
clips Remove
accessibility Remove
clip creation Remove
Arow Key Takeaways
  • Underlord is being developed to select workflows based on the context of the user’s goal.
  • Different media formats require different captioning styles (subtle for long-form, punchy for clips).
  • The product will separate context by use case to avoid confusing one workflow or style for another.
  • Distinct “skills” will be used for clip creation versus long-form podcast creation.
Arow Sentiments
Positive: Tone is enthusiastic and optimistic, emphasizing excitement about upcoming features and describing the investment in better context handling as “amazing.”
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