{
  "schema_version": "1.1",
  "id": "s8:https://www.youtube.com/watch?v=O1FN4awNEtM",
  "slug": "one-designer-ai-hundreds-of-deliverables-vincent-wendy-ai-engineer-1ocl7kr",
  "url": "https://feed7.dev/p/one-designer-ai-hundreds-of-deliverables-vincent-wendy-ai-engineer-1ocl7kr",
  "title": "One Designer + AI. Hundreds of Deliverables. — Vincent Wendy, AI Engineer",
  "why_included": "A solo conference designer scaled hundreds of assets by defining design primitives first, generating from live data, and using vision agents as a second QA pass.",
  "summary": "One designer supported an event with **7,000 attendees**, **140+ sponsors**, **300+ speakers**, and **600+ sessions**. Reusable typography, colors, components, and templates let agents generate schedules, speaker graphics, trading cards, and other assets from current data.",
  "practical_implication": "Builders should make design constraints machine-readable before automating output. Feed agents specs or Figma context, generate variants from structured data, and preserve quick edit paths for late exceptions; use vision checks as an additional pass for missing logos or mismatched photos.",
  "agent_context": "One designer supported an event with **7,000 attendees**, **140+ sponsors**, **300+ speakers**, and **600+ sessions**. Reusable typography, colors, components, and templates let agents generate schedules, speaker graphics, trading cards, and other assets from current data.\n\nBuilders should make design constraints machine-readable before automating output. Feed agents specs or Figma context, generate variants from structured data, and preserve quick edit paths for late exceptions; use vision checks as an additional pass for missing logos or mismatched photos.\n\nThe reported **100% logo-check accuracy** reflects the speaker's own tests, not a defined benchmark. The workflow still relies on human foundation work, visual judgment, and exception handling, so it does not establish that unattended design QA is dependable.",
  "source": {
    "name": "AI Engineer",
    "url": "https://www.youtube.com/watch?v=O1FN4awNEtM",
    "published_at": "2026-09-10T17:00:06.000Z"
  },
  "source_class": "video",
  "content_type": "Video",
  "layer": "craft",
  "domains": [
    "image"
  ],
  "topics": [
    "design-engineering",
    "interface-quality",
    "tool-use"
  ],
  "verification": {
    "status": "source_linked",
    "label": "Source Linked",
    "method": "source_feed",
    "verified_at": null
  },
  "uncertainty": [
    "The reported **100% logo-check accuracy** reflects the speaker's own tests, not a defined benchmark. The workflow still relies on human foundation work, visual judgment, and exception handling, so it does not establish that unattended design QA is dependable."
  ],
  "connected_context": {
    "meaning": "This moves agent-readable design constraints from interface generation into high-volume, data-driven production operations. It confirms that reusable tokens, components, templates, and structured inputs can scale variants, while adding two practical requirements: fast manual exception paths and vision-based asset checks. It does not resolve subjective quality or unattended QA; the foundation, judgment, and late corrections remain human responsibilities.",
    "corpus_size": 757,
    "generated_at": "2026-09-12T10:05:39.996Z",
    "connections": [
      {
        "title": "The End of the Static Screen: Architecting Intent-Driven UX — Gus Iwanaga, commercetools",
        "source_name": "AI Engineer",
        "source_url": "https://www.youtube.com/watch?v=QrMcNe2jjt8",
        "feed7_url": "https://feed7.dev/p/the-end-of-the-static-screen-architecting-intent-driven-ux-gus-iwanaga-c-0hulcxp",
        "reason": "Both show that a component catalog is insufficient without explicit schemas, layout rules, and design constraints; this target demonstrates the same principle across event deliverables rather than runtime UI."
      },
      {
        "title": "VoltAgent/awesome-design-md",
        "source_name": "GitHub",
        "source_url": "https://github.com/VoltAgent/awesome-design-md",
        "feed7_url": "https://feed7.dev/p/awesome-design-md-0j28iaw",
        "reason": "Agent-readable design files are a direct prerequisite pattern for making the target’s typography, color, component, and guardrail system persistent and reviewable."
      },
      {
        "title": "Ending AI Slop — Thais Castello Branco, Taste Labs",
        "source_name": "AI Engineer",
        "source_url": "https://www.youtube.com/watch?v=lCBf9slCanI",
        "feed7_url": "https://feed7.dev/p/ending-ai-slop-thais-castello-branco-taste-labs-1bcbp7n",
        "reason": "The distinction between deterministic checks and subjective preference narrows the role of the reported vision QA: it can catch mismatched assets, but cannot establish style or creative quality."
      },
      {
        "title": "The Missing Layer: Design Taste in AI Agents — Hassan El Mghari, Together AI",
        "source_name": "AI Engineer",
        "source_url": "https://www.youtube.com/watch?v=7GMKdpLsxwU",
        "feed7_url": "https://feed7.dev/p/the-missing-layer-design-taste-in-ai-agents-hassan-el-mghari-together-ai-00err2g",
        "reason": "Both treat first-pass agent output as material for human-directed iteration; the target adds structured-data scaling and operational edit paths for late exceptions."
      }
    ]
  },
  "lifecycle": "Current",
  "published_at": "2026-09-10T17:00:06.000Z",
  "modified_at": "2026-09-10T17:00:06.000Z",
  "supersedes": [],
  "expires_at": null,
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    "html": "https://feed7.dev/p/one-designer-ai-hundreds-of-deliverables-vincent-wendy-ai-engineer-1ocl7kr",
    "json": "https://feed7.dev/p/one-designer-ai-hundreds-of-deliverables-vincent-wendy-ai-engineer-1ocl7kr.json",
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}