Case study / Ellie
Ellie, the AI agent that watches video so editors do not have to.
Long-form video in, ranked clips out. Ellie analyzes scenes, transcribes speech, scores moments against editorial rules, and ships the best segments to a production pipeline.
02 / Problem
Editors spend hours scrubbing for ten seconds.
Podcast clips, sales-call highlights, security footage review. The valuable seconds hide inside hours of footage. Manual review does not scale, and most 'AI video' tools stop at autoscroll.
03 / Approach
Scene-aware analysis with a scoring rubric.
Scene detection
Visual and audio change-point detection to chunk the timeline.
Transcription
Open-weight ASR with speaker diarization for cost-efficient throughput.
Editorial scoring
Claude scores each chunk against a domain-specific rubric. Highlights surface ranked, not random.
Clip export
Ranked clips written back into the customer pipeline, ready for human review or auto-publish.
04 / Outcome
Hours of footage to a ranked shortlist in minutes.
Used in podcast post-production and internal review workflows. Scales horizontally for batch jobs.
FAQ
Common questions.
- What does Ellie do?
- Analyzes long-form video at scale. Detects scenes, extracts spoken content, scores moments against editorial rules, and outputs ranked clips.
- What model powers it?
- Claude for reasoning and scoring, plus open-weight transcription models for speed. The architecture is model-agnostic.
- Can I use it on my footage?
- Engagement-based. The audit is the way in.
Have video your team cannot keep up with?
The $1,000 AI Production Readiness Audit scopes the data, the rubric, and the pipeline. We decide if Ellie is the right pattern for you.