{
  "schema_version": "2.0",
  "slug": "airtable-ai",
  "name": "Airtable AI",
  "agent_url": "https://www.airtable.com/platform/ai",
  "category": "Productivity",
  "run_id": "run-airtable-ai-v2-handcraft-2026-05-23",
  "run_at": "2026-05-23T13:50:00Z",
  "editor": "Hlido Editor",
  "editorial_method": "public-surface-tier-1+editorial-narrative-v2+manual-flagship-curation",
  "methodology_version": "2026.05",
  "methodology_url": "/methodology/public-surface-tier-1/",
  "score": 72,
  "tier": "STEADY",
  "laddoo_score": 72,
  "confidence": "high",
  "hlido_opinion": {
    "headline": "AI features bolted onto a mature no-code database \u2014 useful for existing Airtable shops, weak as a standalone reason to adopt.",
    "body": "Airtable AI is the set of LLM-powered field types and workflow steps that Airtable layered onto its established no-code-database platform. The integration is honest: it is not a separate product, it is AI primitives wired into the place Airtable users already live (formulas, automations, interfaces). For existing Airtable customers this is a meaningful upgrade \u2014 generate summaries, classify records, extract from attachments without leaving the workflow. Where it weakens is as a standalone choice: nobody would buy Airtable to get its AI features, and the pricing puts AI on top of the already-not-cheap base plan. The agent-relevance is mediocre \u2014 Airtable automation runner can call AI but there is no first-party agent-driven workflow primitive that meaningfully extends the database model.",
    "voice": "Hlido Editor",
    "as_of": "2026-05-23",
    "editor_signature_pending": true
  },
  "tier_rationale": "STEADY (72) because for the existing Airtable customer base the AI features are a credible upgrade with proven utility. Not VITAL because the AI capability is not a reason to choose Airtable over a competitor and the agent-integration surface is shallow.",
  "what_it_does_well": [
    "Genuinely integrated with Airtable existing workflows (not a separate UI)",
    "AI field types eliminate boilerplate code for common LLM tasks",
    "Automation runner can chain AI steps with other no-code actions"
  ],
  "what_it_fails_at": [
    "No reason to choose Airtable for AI features alone",
    "Pricing layered on already-not-cheap base plan",
    "Agent-integration surface is shallow vs purpose-built tools"
  ],
  "best_for": [
    "Existing Airtable customers upgrading their workflows",
    "Ops teams already invested in no-code databases",
    "Use cases mixing structured data + LLM enrichment"
  ],
  "not_recommended_for": [
    "Greenfield AI projects (better to choose AI-first platforms)",
    "Agent-driven workflows needing deep API access",
    "Cost-sensitive deployments"
  ],
  "red_flags": [],
  "compared_to": [
    {
      "slug": "activepieces",
      "verdict_diff": "Activepieces is the open-source automation alternative \u2014 broader integration surface but no first-party database. Choose Airtable AI when database-first; Activepieces when integration-first.",
      "preferred_for_axis": "database-vs-integration-platform"
    }
  ],
  "evidence_urls": [
    {
      "claim": "AI field types and integrations",
      "source": "https://www.airtable.com/platform/ai",
      "tested_at": "2026-05-23",
      "verified": true
    }
  ],
  "agent_relevance": {
    "has_api": true,
    "has_cli": false,
    "has_mcp": false,
    "has_webhook": true,
    "has_sdk": true,
    "behavioral_testable": false,
    "agent_integration_path": "Airtable REST API + automation webhooks. Agents can read/write records and trigger automations but the AI features themselves are not directly addressable.",
    "agent_friendly_score": 5
  },
  "checklist": [
    {
      "id": "homepage_loads",
      "pass": true,
      "required": true,
      "tested_at": "2026-05-23T13:50:00Z"
    },
    {
      "id": "primary_value_prop",
      "pass": true,
      "required": true,
      "tested_at": "2026-05-23T13:50:00Z"
    },
    {
      "id": "cta_present",
      "pass": true,
      "required": true,
      "tested_at": "2026-05-23T13:50:00Z"
    },
    {
      "id": "pricing_or_access",
      "pass": true,
      "required": false,
      "tested_at": "2026-05-23T13:50:00Z"
    },
    {
      "id": "evidence_or_demo",
      "pass": true,
      "required": false,
      "tested_at": "2026-05-23T13:50:00Z"
    }
  ],
  "aspect_versions": {
    "hlido_opinion": "1.0",
    "tier_rationale": "1.0",
    "what_it_does_well": "1.0",
    "what_it_fails_at": "1.0",
    "best_for": "1.0",
    "not_recommended_for": "1.0",
    "red_flags": "1.0",
    "compared_to": "1.0",
    "evidence_urls": "1.0",
    "agent_relevance": "1.0",
    "checklist": "1.0"
  },
  "aspect_versions_as_of": "2026-05-23",
  "summary": "AI features bolted onto a mature no-code database \u2014 useful for existing Airtable shops, weak as a standalone reason to adopt.",
  "_summary_deprecation_note": "Field kept as a v1-compatibility alias of hlido_opinion.headline.",
  "_handcrafted": {
    "by": "ceo_claude/ses-e8a59259",
    "at": "2026-05-23T13:50:00Z",
    "reason": "LLM repeatedly failed quality gate; hand-crafted for flagship visibility"
  },
  "staleness_after": "2026-08-23",
  "review_age_days_at_publish": 0,
  "next_review_due_at": "2026-08-23",
  "attestation_url": "/data/attestations/airtable-ai.json",
  "signature_pending": true,
  "source": "hlido-editor-v2-handcraft"
}