What OpenAI shipped
OpenAI introduces team tasks in ChatGPT, a feature allowing Enterprise users to automate and manage recurring shared workflows. By running these tasks in the cloud, teams can review results, refine instructions, and keep work moving seamlessly.
Positioning the feature around a specific, high-friction scenario—like a legal team's daily intake—grounds the abstract concept of AI automation in a concrete, recognizable business process.
How the motion works
When demonstrating a multi-step workflow like legal document intake, motion designers should rely on the hard-cut to move between stages. Instead of panning across a sprawling interface, cutting directly to the next relevant action keeps the pacing tight and respects the viewer's time.
To emphasize specific data points—like checking deadlines or reviewing incoming requests—a quick punch-in is highly effective. Scaling the UI abruptly to fill the frame forces the eye exactly where the interaction happens, eliminating the distraction of peripheral navigation menus or chat histories.
Pacing a complex cloud-based workflow requires careful attention to hold-time. When a teammate refines shared instructions or reviews a generated result, the edit must pause long enough for the audience to read the text. Rushing these moments undermines the clarity of the product's core utility.
What to steal from it
- Use a hard cut to advance through multi-step workflows without dragging the pacing.
- Punch in on critical UI elements to eliminate peripheral distractions during complex tasks.
- Calibrate your hold time to ensure viewers can actually read the text being generated or refined.
- Ground abstract cloud features in specific, relatable use cases like a legal team's daily intake.
Want a video like this for your product?
Impractical cuts one from a single prompt — the same motion craft, in about twenty minutes.
