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ATOCore/docs/operations.md

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AtoCore Operations

Current operating order for improving AtoCore:

  1. Retrieval-quality pass
  2. Wave 2 trusted-operational ingestion
  3. AtoDrive clarification
  4. Restore and ops validation

Retrieval-Quality Pass

Current live behavior:

  • broad prompts like gigabit and polisher can surface archive/history noise
  • meaningful project prompts perform much better
  • ranking quality now matters more than raw corpus growth

Use the operator client to audit retrieval:

python scripts/atocore_client.py audit-query "gigabit" 5
python scripts/atocore_client.py audit-query "polisher" 5
python scripts/atocore_client.py audit-query "mirror frame stiffness requirements and selected architecture" 5 p04-gigabit
python scripts/atocore_client.py audit-query "interferometer error budget and vendor selection constraints" 5 p05-interferometer
python scripts/atocore_client.py audit-query "polisher system map shared contracts and calibration workflow" 5 p06-polisher

What to improve:

  • reduce _archive, pre-cleanup, pre-migration, and History prominence
  • prefer current-status, decision, requirement, architecture-freeze, and milestone docs
  • prefer trusted project-state when it expresses current truth
  • avoid letting broad single-word prompts drift into stale chunks

Wave 2 Trusted-Operational Ingestion

Do not ingest the whole PKM vault next.

Prioritize, for each active project:

  • current status
  • current decisions
  • requirements baseline
  • architecture freeze / current baseline
  • milestone plan
  • next actions

Useful commands:

python scripts/atocore_client.py project-state p04-gigabit
python scripts/atocore_client.py project-state p05-interferometer
python scripts/atocore_client.py project-state p06-polisher
python scripts/atocore_client.py refresh-project p04-gigabit
python scripts/atocore_client.py refresh-project p05-interferometer
python scripts/atocore_client.py refresh-project p06-polisher

AtoDrive Clarification

Treat AtoDrive as a curated trusted-operational source, not a generic dump.

Good candidates:

  • current dashboards
  • approved baselines
  • architecture freezes
  • decision logs
  • milestone and next-step views

Avoid by default:

  • duplicated exports
  • stale snapshots
  • generic archives
  • exploratory notes that are not designated current truth

Restore and Ops Validation

Backups are not enough until restore has been tested.

Validate:

  • SQLite metadata restore
  • Chroma restore or rebuild
  • project registry restore
  • project refresh after recovery
  • retrieval audit before and after recovery

Baseline capture:

python scripts/atocore_client.py health
python scripts/atocore_client.py stats
python scripts/atocore_client.py projects