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Elizabeth Stein
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Case study

ai2024

TubeDigest

AI-powered YouTube video summarization with Claude Sonnet 4.5, topic extraction, full-text search, mind map visualization, and GitHub sync.

Exploring the boundaries of artificial intelligence

Field notes

Role

Creator

Read order

Evidence first, then constraint → build → proof. Use the chapter rail to jump sections; orbit to adjacent work from the bottom of the case study.

The AI Frontier·✦I-Class Giant
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Evidence

Interface & evidence

A real surface area—not a mock. Scroll the story below for constraint, build, and outcome.

Signature viewtube-digest-ivory.vercel.app
TubeDigest application interface
Open Live Site
tube-digest-ivory.vercel.app

Story arc

How this shipped

Exploring the boundaries of artificial intelligenceThree beats: what pressed against the work, how the stack answered, and what changed once it was live.

I · Constraint

The brief

Processing long-form YouTube content into useful, searchable summaries while preserving key insights and enabling knowledge management.

II · Build

The craft

Built a pipeline using Claude Sonnet 4.5 for intelligent summarization with topic extraction. Added mind map visualization for exploring connections, full-text search across all summaries, and GitHub sync for backup.

III · Proof

What moved after launch

Claude Sonnet 4.5 integration delivers high-quality summaries. Mind map visualization reveals content connections. GitHub sync ensures knowledge is never lost.

Signals

◆Signals & scale

0Claude 4.5
AI Model
Full-Text
Search
Mind Map
Visualisation
GitHub Sync
Backup

Inventory

Stack & signals

AIClaudeNext.jsSupabaseYouTube
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© 2026 Elizabeth Stein

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