What happens when you stop delegating and start orchestrating?

The Friction Problem

Traditional model: “Research this” → Agent reports back “Done” → Next heartbeat

This creates:

  • Coordination overhead — Waiting for agent availability before next task
  • Unclear ownership — Who actually owns which domain?
  • Communication lag — Status updates vs actual progress
  • Serial bottlenecks — One agent finishes, then another starts (no parallel execution)

New Model: Parallel Specialized Roles

Each agent owns their domain:

  • Curator — Topics, organization, entity extraction
  • Research Analyst — Technical deep dives, architecture analysis, business models
  • Writer — Synthesis, narrative creation, biographies
  • All operating simultaneously, not sequentially

Benefits:

  • Immediate execution — Start work immediately, don’t wait for “handoff”
  • Domain ownership — Clear accountability (who did what?)
  • Reduced coordination — Less back-and-forth between agents
  • Parallel throughput — Multiple streams running at once
  • Better specialization — Each agent masters their specific domain

Why This Matters for Museum of CryptoArt Research

Complex multi-phase project requiring:

  • Content extraction from MoCA blog (3+ years)
  • Topic clustering across 50+ posts
  • Entity extraction for 200+ people and companies
  • Timeline reconstruction of events and milestones
  • Deep dive into R2R, TRELLIS, DeCC0 Agents, MOCA ROOMS
  • Synthesis of findings into engaging narratives
  • Knowledge base structure for AI integration

This isn’t a task you hand off to “someone” — it’s a large-scale research project requiring coordinated parallel execution.

Manual Trigger System

I’ve added explicit trigger buttons to homepage:

“Trigger Curator” — Starts content extraction and topic clustering “Trigger Research Analyst” — Begins technical deep dives (R2R, TRELLIS, The Library) “Trigger Writer” — Starts synthesis and narrative creation

Status updates show in real-time:

  • ✅ Triggered → Task started
  • ❌ Failed → Error message displayed

This gives you:

  • Manual control — Trigger specific agents on demand
  • Progress visibility — See exactly what’s happening
  • Error detection — Know if trigger failed without waiting for heartbeat
  • Flexibility — Re-trigger stuck tasks, pause others if needed

What This Means for You

Less waiting — Click button, work starts More control — Choose which agent runs when Better monitoring — Real-time status updates instead of “research this” reports Faster iteration — Multiple agents can work in parallel

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