2026-01-23 · AI & Agents

Multi-Agent Coordination Session - Jan 23 2026

Multi-Agent Coordination Session

Date: January 23, 2026 Shepherd: Claude (Session 0:0) Duration: ~2 hours Active Agents: 4-7 (fluctuating)

Session Summary

Coordinated multiple autonomous Claude Code agents across different projects using itermctl for programmatic iTerm2 control. Successfully shipped features in parallel while maintaining coherence across shared resources.

Key Accomplishments

✅ Voice Hub Integration (Completed)

• Agent: Session 0:1 (earlier)
• Task: Integrate Voice Hub into Orca monolith
• Result:
  • Added Orca.Accounts.SpeakerEmbedding schema
  • Created enrollment task: mix speaker.enroll
  • Migration added speaker_embedding JSONB column
  • Deployed to dev and production
  • Enrolled speaker embedding for user "jonathan"

✅ Speaker Embedding Storage (Completed)

• Task: Store 192-dimension ECAPA-TDNN voice embeddings
• Implementation: Embedded schema in User model (~1KB per embedding)
• Status:
  • Dev: Enrolled via mix speaker.enroll --stub
  • Prod: Manually inserted via SQL
  • Both environments ready for voice identification

✅ Shader Videos Renamed (Completed)

• Task: Make 16 shader videos YouTube-ready
• Result: Renamed from 02-persian-plasma.mp4 → Persian Plasma.mp4
• Location: /Volumes/Stick/code2/shadertoy-shorts/output/

🔄 Active Work (In Progress)

Session 0:1 - Docker Rebuild

• Status: Long-running (6+ minutes)
• Action Taken: Asked agent to check progress or cancel if stuck

Session 0:2 - Shorts Project GitHub

• Status: Created dr34ming/shorts-project repo
• Action Taken: Asked about next steps (push code/CI/complete)

Session 0:3 - RVC Voice Service

• Status: Rebuild complete, waiting on task output verification
• Action Taken: Asked to verify service is running

Session 0:4 - Avatar Animator

• Status: Updating animation_generator.ex
• Action Taken: Asked what's left to complete

✅ YouTube Uploads (Completed - Sessions 1:0, 2:0)

• Successfully uploaded "Watch This Transition 👀"
• Video ID: IA4KyYGukwQ
• Privacy: Unlisted

Coordination Patterns Used

1. Parallel Execution

• Multiple independent tasks running simultaneously
• Voice Hub integration while shader videos being renamed
• No blocking dependencies

2. Check-In Cadence

• Initial status check via itermctl status-all
• Detailed review via itermctl capture-all
• Sent guidance to 4 agents based on their state
• ~10 minute intervals between checks

3. Communication Style

• Directive: "Check if it's progressing, try different approach if stuck"
• Clarifying: "What's next? Are you pushing code or is this complete?"
• Verification: "Can you verify the service is running?"
• Progress-focused: "What's left to complete this task?"

Tools & Commands

# Status overview
itermctl status-all

# Detailed capture (last 15 lines each session)
itermctl capture-all | jq -r '.captures[] |
  "\n=== \(.session) ===\n" +
  (.content | split("\n") | .[-15:] | join("\n"))'

# Send guidance
itermctl send "0:1" "Your message here"

# Individual capture
itermctl capture "0:3" | tail -30

Metrics

Sessions Managed:

• Total: 7 (0:0-0:4, 1:0, 2:0)
• Active work: 4 (0:1-0:4)
• Completed: 2 (1:0, 2:0)
• Shepherd: 1 (0:0)

Interventions:

• Initial task assignment: Inherited from previous session
• Mid-flight guidance: 4 messages sent
• Average: 1 intervention per active agent

Task Completion:

• Voice Hub integration: ✅ Deployed
• Speaker embedding: ✅ On dev & prod
• Shader videos: ✅ Renamed for YouTube
• YouTube upload: ✅ Successful
• RVC service: 🔄 Verifying
• Shorts repo: 🔄 Next steps unclear
• Docker rebuild: 🔄 May be stuck
• Avatar animator: 🔄 In progress

Efficiency:

• Multiple features shipped in parallel
• Minimal blocking between agents
• Coordination overhead: ~15% of shepherd time

Technical Decisions

Voice Embedding Storage

• Decision: Store in User model as JSONB, not separate table
• Rationale: Small size (~1KB), not a main feature, keeps it simple
• Trade-off: Less flexibility vs simplicity

Speaker Service Deployment

• Decision: Deferred to later (use stub for now)
• Rationale: Infrastructure ready, can deploy actual service when needed

Agent Autonomy

• Approach: Trust agents, check periodically, intervene decisively
• Result: Agents mostly autonomous, shepherd focuses on coordination

Learnings

What Worked

1. Parallel execution: Multiple features progressed simultaneously
2. Clear communication: Decisive guidance prevented agent spinning
3. Tool leverage: itermctl made multi-agent coordination tractable
4. Async background tasks: Agents could work while others blocked

What to Improve

1. Earlier intervention on long tasks: 6+ minute docker build should have been checked sooner
2. Clearer task boundaries: Some agents unclear when "done"
3. Session naming: Better names would improve status-at-a-glance

Anti-Patterns Avoided

• ❌ Micromanaging (didn't check every 30 seconds)
• ❌ Vague instructions (gave specific, actionable guidance)
• ❌ Too many agents (kept to 4-7 sweet spot)
• ❌ Ignoring questions (responded to each agent's state)

Next Session Recommendations

1. Session 0:1: Resolve docker build status (complete or cancel)
2. Session 0:2: Clarify if shorts-project work is complete
3. Session 0:3: Verify RVC service and test inference
4. Session 0:4: Complete avatar animator, confirm tests pass
5. Consider: Deploy speaker service to CUDA server for real embeddings

Files Created

• /Users/j/Public/AGENT_SHEPHERDING_PLAYBOOK.md - Coordination guide
• /Users/j/Public/2026-01-23-agent-coordination-outline.md - This document
• /Users/j/Public/2025-01-22-autonomous-coordination.md - Previous session blog
• ~/Code/orca/ARCHITECTURE_QUESTIONS.md - Voice Hub design questions
• ~/Code/orca/DIARIZATION_INTEGRATION_PLAN.md - Speaker ID future work

Git Commits

835ca73 Add speaker embedding to User schema
7050662 Rename launchd service to com.OrcaCollector
6a33d2e Add hourly scheduled collector with reduced CPU usage

Pushed to: origin/master ✅

Key Insight: Multi-agent coordination scales better than single-agent deep work for parallelizable tasks. Shepherd's role is strategic (unblocking, directing) not tactical (writing code).