{
  "schema_version": "newruntime-agent-readable-v0.1",
  "type": "raw_signal",
  "id": "tg-2525",
  "slug": "doordash-memory-is-versioned-personalization-layer",
  "title": "DoorDash makes memory a versioned personalization layer",
  "description": "DoorDash builds structured memory blocks from behavior and stores model, schema, timestamp, prompt, and response lineage for each component.",
  "observed_at": "2026-06-24",
  "why_it_matters": "Memory becomes an auditable data product that can be selectively refreshed, tested, rolled back, and reconstructed instead of an opaque prompt appendix.",
  "novelty": "structural",
  "verification_level": "source-inspected",
  "signal_type": "field-report",
  "evidence_kind": "mixed",
  "status": "published",
  "telegram_message_id": 2525,
  "telegram_url": "https://t.me/qwgai/2525",
  "topics": [
    "agent-memory",
    "personalization",
    "data-lineage"
  ],
  "entities": [
    "DoorDash"
  ],
  "related_patterns": [],
  "source_urls": [
    "https://careersatdoordash.com/blog/doordash-unified-consumer-memory-for-personalization-at-scale"
  ],
  "import_batch": "telegram-2026-07-17-v1",
  "routes": {
    "html": "https://newruntime.com/signals/doordash-memory-is-versioned-personalization-layer/",
    "markdown": "https://newruntime.com/signals/doordash-memory-is-versioned-personalization-layer.md",
    "json": "https://newruntime.com/signals/doordash-memory-is-versioned-personalization-layer.json"
  },
  "source_format": "telegram-export-normalized-json"
}