Digest This Week's YouTube Videos on a Topic

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Try it yourself (give it to your agent)

Use Monid to create a briefing from up to 10 English-language YouTube videos about AI coding agents published in the last seven days.

Ask whether I want beginner tutorials, engineering deep dives, or product comparisons, and whether any channels should be included or excluded. My budget is $2. Inspect discovery and transcript prices, start with a small batch, and ask before expanding beyond the budget.

Find relevant videos, retrieve available transcripts, and remove duplicate videos and repeated claims. Summarize practical lessons, points of disagreement, and which videos are worth watching in full. Cite video links and timestamps when available.

Include a coverage list showing which videos had usable transcripts. Clearly identify conclusions that need visual inspection; do not claim to have watched demonstrations if only captions were available. Report failures and actual spend rather than silently replacing missing sources.

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Potential tools

• YouTube: Apify’s /streamers/youtube-scraper discovers videos; /starvibe/youtube-video-transcript retrieves available transcripts.
• TikHub: /api/v1/youtube/web_v2/get_video_info can add video details.

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Example output

I reviewed transcripts from 8 of 10 selected videos. Two had no accessible captions. Main takeaway: The most useful demonstrations kept tasks small, supplied repository context, and required tests before accepting changes. Where creators disagreed: Some preferred a detailed upfront plan; others favored short implementation-and-test cycles. Their demonstrations used different task sizes, so the results are not directly comparable. Worth watching: “Debugging an Agent’s First Pull Request,” especially the walkthrough beginning at 08:40. The terminal interaction contains visual detail that a transcript summary cannot fully capture. The digest includes video links, timestamps, and a separate list of unsupported or visual-only claims.