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YouTube Intelligence Weekly Report

  • Generated at: 2026-06-01T12:00:00+00:00
  • Lookback window: last 7 days
  • Search rows: 3
  • Snapshot rows: 3
  • Comment sets: 1
  • Search fallback hits: 0 / 1
  • Search hard failures: 0
  • Filter accounting:
    • Candidates before filters: 3
    • Kept: 3
    • Removed by age/date: 0
    • Removed by missing publication date: 0
    • Removed by min views: 0
    • Removed by min comments: 0

Executive read

The sample run found a small cluster of public videos around AI agents. The useful signal is not the list of videos itself, but the repeated audience pains, replacement language, and title hooks worth testing in your own content or product research.

1. Top videos by signal

  • How to Build an AI Agent Workflow | score: 71.2 | channel: Example Channel | URL: https://www.youtube.com/watch?v=demo123 | relevance=0.8 freshness=1.0 intensity=0.55 repeatability=0.3 usefulness=0.7 | queries: AI agents

2. Top repeated pains from comments

  • setup and complexity - 2 hits
    • demo-video-id: I like the idea but the setup is still confusing.

3. Migration / replacement signals

  • How I switched from manual workflows to AI agents | Example Channel | title/description hints at migration or replacement

4. Platform risk signals

  • Clear platform risk signals not detected in the current local sample.

5. Strongest hooks / narrative patterns

  • step-by-step build - 1 matches
    • How to Build an AI Agent Workflow

6. Content strategy ideas

  • Create a practical content asset around setup and complexity: show how to avoid that pain and where the market is breaking.
  • Use the step-by-step build format because the pattern is already attracting audience attention.
  • Run a weekly YouTube market radar: 5 videos, 3 pains, 2 replacement signals, 1 next action.

7. Workflow / operations ideas

  • Create a practical AI operations breakdown around setup and complexity: show how to solve it with process instead of manual heroics.
  • Create a series about memory, orchestration, and human-in-the-loop as an operating layer over AI-market chaos.
  • Use the step-by-step build format for education: less abstraction, more operational walkthrough.

8. Proof assets / examples worth adapting

  • Hook Swipefile: 10 titles and narrative patterns that can be adapted to your context.

Infra note

  • Active search providers this window: {'youtube_url': 1}
  • If fallback hits grow, treat it as a reliability signal: the run is surviving through backup paths/cache instead of failing completely.