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The market moved.

Recurring Intelligence Cycles

The market moved. You found out three months later.

Outcome: Recurring research cycles — scored, filtered, compared — so you never fall behind.

  • Area: Research
  • Level: advanced
  • Roles: Head of Marketing, Product Manager
  • Time savings: 8 hours manual research → 15 minutes automated
  • Try it: "Run a research cycle on procurement-ai"
  • Compounding: Each cycle builds on previous — trends emerge over time
  • Frequency: Weekly per domain (cron scheduled)
  • Published: 2026-03-27

Inputs

  • ⚙️ domain-config.md
  • 📊 previous_kb_latest.md
  • 🎯 scoring_calibration.md

What BOB does

  1. Load domain config + previous KB
  2. nlm-skill → deep research (50-70 sources)
  3. Import & query NotebookLM notebook
  4. Map entries → score with calibrated rubric
  5. Delta detection vs previous cycle
  6. Review findings, adjust weights
  7. Write KB + changelog + briefing

Outputs

  • 📗 kb_2026-03-23.md
  • 📋 changelog.md
  • 📬 inbox_briefing.md
  • 📕 report.pdf

Benefits

  • 32× faster
  • Change detection between cycles
  • Weighted scoring surfaces what matters

Built on the continuous-research skill.