What ElevenLabs shipped
ElevenLabs expands its voice ecosystem with ElevenAgents Architect, a built-in expert designed to help teams launch and refine AI agents using natural language.
Instead of requiring manual debugging, the system analyzes conversation transcripts to identify why customers escalate to human agents. It then proactively proposes fixes that are already built and ready to implement, streamlining the optimization loop for conversational AI.
How the motion works
When introducing a conversational interface like ElevenAgents Architect, motion designers could rely on the typewriter technique to reveal user prompts. Staggering the text reveal with a slightly uneven cadence mimics natural typing, grounding the AI interaction in recognizable human behavior before the system generates a response.
To visualize the system analyzing thousands of transcripts, a sequence could employ a rapid punch-in on a dense data view, transitioning immediately to a clean, isolated insight. This contrast in scale—from a massive dataset to a single, actionable fix—visually reinforces the product's ability to cut through noise.
For demonstrating the proactive proposal feature, designers might use a match-cut to seamlessly transition between different suggested fixes. Aligning the structural elements of the UI across these cuts keeps the viewer's eye focused on the changing variables—the specific problem and the suggested resolution—without disorienting them with unnecessary camera movement.
What to steal from it
- Animate text reveals with variable pacing to simulate human input when demonstrating chat interfaces.
- Use sudden shifts in scale to contrast complex backend analysis with simple frontend insights.
- Align UI elements across cuts to keep the viewer focused on changing data rather than moving containers.
Want a video like this for your product?
Impractical cuts one from a single prompt — the same motion craft, in about twenty minutes.
