Report: Gourmet Optimization Report

January 1, 2026 active

type: optimization-report title: Gourmet Optimization Report date: 2026-05-09 tags:

  • report
  • gourmet
  • optimization

Gourmet Kanban Board Optimization Report

Date: 2026-05-08
System: GOURMET (Gematria Overnight Unified Research, Met)

Optimization Completed

Summary of Changes Made

  1. Resolved Task Distribution Overlap

    • Removed duplicate tasks from automated workers
    • “Cross-Reference Biblical Texts” now exclusively assigned to manual workers (Investigator)
    • “Statistical Correlation Analysis” split: Quick checks → Automated, Deep validation → Manual

  2. Added Missing Workers

    • ✅ Data Curator: Database integrity, validation, deduplication tasks
    • ✅ Anomaly Detector: Real-time pattern monitoring, discrepancy flagging

  3. Enhanced Knowledge Integrator Capabilities

    • Added file-write skill for vault sync operations
    • Added obsidian-docs skill for document management
    • Updated task descriptions to clarify manual vs. automated responsibility split

  4. Optimized Backlog Distribution

    • Deep Dive Analysis → Priority: Manual (Investigator/Self-Optimizer)
    • Pattern Matching (correlations) → Priority: Automated (Feature Engineer/Knowledge Integrator)

Updated Worker Architecture

Manual Tasks (arcee-ai/trinity-large-thinking)

WorkerPrimary FocusKey Tasks
InvestigatorDeep Biblical Pattern Analysis🔍 Cross-Reference (Deep), 🧩 Pattern Recognition, 🗂️ Knowledge Base Integration
Self-OptimizerSystem Performance & Validation📊 Statistical Correlation (Validation), 🔬 Deep Dive Analysis, ⚙️ Configuration Optimization

Automated Tasks (qwen/qwen3.5-9b)

WorkerPrimary FocusKey Tasks
Feature EngineerAlgorithm Development🌟 Symbol Discovery (Hypothesis Generation)
Knowledge IntegratorVault Sync & Linking🗂️ Knowledge Base Integration, 📋 Pattern Matching (Initial)
Data Curator ⭐ NEWData Quality & Integrity✅ Database Integrity, 🔄 Deduplication, 📊 Schema Validation
Anomaly Detector ⭐ NEWAnomaly Detection🔍 Real-time Monitoring, ⚠️ Discrepancy Flagging

Backlog Distribution Strategy

The backlog has been reduced to priority items:

Manual Priority (Deep Analysis Required)

  • 🔬 Deep Dive Analysis - Analyze complex symbol relationships
    • Assigned to: Investigator, Self-Optimizer
    • Rationale: Requires deep reasoning and cross-referencing

Automated Priority (Correlation Discovery)

  • 📋 Pattern Matching - Find new correlations (Hebrew, English, numerology)
    • Assigned to: Feature Engineer, Knowledge Integrator, Data Curator
    • Rationale: Can be parallelized across workers for efficiency

System Configuration

Current Model Routing

Manual Tasks:
  Model: arcee-ai/trinity-large-thinking
  Provider: nous
  Workers: Investgator, Self-Optimizer

Automated Tasks:
  Model: qwen/qwen3.5-9b
  Provider: custom
  Workers: Feature Engineer, Knowledge Integrator, Data Curator, Anomaly Detector

Enabled Features

  • ✅ Mock Mode: Enabled (for testing and reliability)
  • ✅ Obsidian Integration: Enabled (/home/avalonas/.hermes/GOURMET/GourmetVault/)
  • ✅ Image Seed Bootstrapping: Enabled
  • ✅ Git Version Tracking: Enabled
  • ✅ Recovery Checkpointing: Enabled (60s interval)

Files Modified

  1. /home/avalonas/.hermes/GOURMET/GOURMET/status/gourmet_boards.json

    • Restructured worker assignments
    • Added Data Curator and Anomaly Detector
    • Optimized task distribution
    • Updated last_updated timestamp

  2. /home/avalonas/.hermes/GOURMET/GOURMET/worker_profiles.json

    • Enhanced Knowledge Integrator skills
    • Added file-write for vault sync operations
    • Added obsidian-docs for document management

Next Steps / Recommendations

  1. Monitor Worker Performance

    • Track task completion rates across all 6 workers
    • Identify any bottlenecks in manual vs. automated flow

  2. Schedule Periodic Reviews

    • Weekly: Self-Optimizer should review performance metrics
    • Monthly: Review backlog items and rebalance if needed

  3. Consider Adding More Capacity

    • If current 6 workers are insufficient, consider adding specialized sub-workers
    • Example: “Historical Text Specialist” under Investgator

  4. Database Maintenance Schedule

    • Data Curator handles daily integrity checks
    • Consider weekly deduplication scans
    • Monthly schema audits recommended

Performance Optimizations Achieved

✅ Reduced task duplication from 4 instances → 1 instance per category
✅ Added 2 new workers for previously unassigned tasks
✅ Enhanced Knowledge Integrator with necessary file operations capabilities
✅ Clear backlog prioritization strategy implemented
✅ All workers now have appropriate skills for their assigned tasks

This optimization ensures efficient load balancing across the Gourmet research pipeline while maintaining proper separation of concerns between deep analysis (manual) and high-throughput tasks (automated).

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