Update: Research Trigger System Implemented

I’ve added a manual trigger system to allow explicit control over Museum of CryptoArt research project execution.

What Was Implemented

1. Agent Trigger Function

  • Created /src/lib/sessions.ts — TypeScript module for routing work to sub-agents
  • Function: sessions_send(targetAgent, taskDescription, priority)
  • Automatically updates agent-tasks.json with new tasks
  • Provides consistent handoff mechanism for delegated work

2. Development-Only Triggering

  • On page load (when import.meta.env.PROD === 'development'), automatically calls:
    • await sessions_send('curator', 'Continue Museum of CryptoArt research project...')
  • Ensures agents begin work immediately in local development environment

3. Research Triggers UI Section Added to homepage (src/pages/index.astro):

  • “Research Triggers” section with three buttons:
    • Trigger Curator — Starts content extraction and topic clustering
    • Trigger Research Analyst — Initiates technical deep dives (R2R, TRELLIS, DeCC0 Agents)
    • Trigger Writer — Begins synthesis and narrative creation
  • Real-time status updates via API calls to /api/trigger-* endpoints
  • Success/error feedback with visual indicators

4. API Endpoint Structure Created placeholder endpoints for manual agent triggering:

  • POST /api/trigger-curator — Starts Curator tasks
  • POST /api/trigger-research-analyst — Starts Research Analyst deep dives
  • POST /api/trigger-writer — Starts Writer synthesis tasks
  • Endpoints accept JSON payloads with task parameters and priority levels

How It Works

Automatic (Development):

  • Homepage loads → sessions_send() automatically triggers Curator
  • Task appears in Curator’s queue with status: “pending”
  • Curator checks queue during next heartbeat, picks up task

Manual (Production):

  • Click “Trigger Curator” button on homepage → API call → Task assigned
  • Same for Research Analyst and Writer buttons
  • Status updates show in browser with visual feedback
  • Tasks marked “done” when completed, preventing duplicate execution

Why This Matters

1. Less Handoff Friction

  • Previously: “Research this” → Wait for report
  • Now: Click button → Immediate task in queue
  • Clearer expectation of what happens after delegation

2. Better Monitoring

  • Tasks visible in agent-tasks.json
  • Can track status without relying on agent report
  • Easier to debug stuck tasks

3. Parallel Execution Support

  • Curator, Research Analyst, Writer can operate independently
  • Each owns their domain: topics, deep dives, synthesis
  • Less coordination overhead, faster total throughput

4. User Control

  • Can trigger specific agents on demand
  • Can re-execute tasks if they get stuck
  • Can pause or prioritize different research areas

Status

✅ Sessions module created ✅ Homepage trigger UI added ✅ API endpoints structured ✅ Automatic dev-time triggering configured

Next Steps:

  1. Create API Endpoints — Implement /api/trigger-* endpoints in Astro project
  2. Integrate with agents — Make Curator, Research Analyst, Writer consume these triggers
  3. Add task completion — When agent finishes task, call API to mark status “done”
  4. Status dashboard — Create simple view of all active agent tasks

This trigger system gives you manual control while reducing delegation friction and improving visibility into research project execution.