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  "path": "/t/add-membership-card-to-apple-wallet-to-membership-anywhere/1382631#post_1",
  "publishedAt": "2026-06-04T07:43:32.000Z",
  "site": "https://community.openai.com",
  "textContent": "Hey everyone,\n\nI’m building a membership platform called Membership Anywhere and one of the core features I’m working on is the ability to add membership card to Apple Wallet so users always have their card accessible right from their iPhone.\n\nThe flow I have in mind: user signs up → GPT API generates a personalized membership summary and formats the relevant fields (name, tier, member ID, benefits) → that structured data gets passed into a .pkpass file → user taps a button to add membership card to Apple Wallet and it lands instantly on their device.\n\nI’m already using the OpenAI API for onboarding personalization, so the idea is to extend that same pipeline to handle the card content generation before the Passkit signing step. The whole point of Membership Anywhere is that members can add membership card to Apple Wallet no matter what platform or provider they signed up through so the output needs to be clean and consistent every time.\n\nMy main question is around structuring the GPT output cleanly enough to feed directly into the pass JSON without heavy post-processing. Has anyone done something similar where OpenAI API output feeds into a wallet pass or document generation flow? Would love to know what prompt structure or response format worked best for you.\n\nOpen to any architecture suggestions too",
  "title": "Add Membership Card To Apple Wallet To Membership Anywhere"
}