← LurnaCONTENT HISTORY

Update to Lurna

Snapshot Oct 5, 2026 · 18:04 UTC · version 2.0.0

WHAT CHANGED · RULE-BASED ANALYSIS

Package or technical metadata updated

Published version changed from 1.0.0 to 2.0.0. Supporting listing metadata also changed.

Observed in package metadata. These changes alone do not establish a new customer-facing feature.

Id

Before

pluginrel_e3f2da87ce1c8191ac450085535af6ee

After

pluginrel_bb072f35de7c8191bda444a43a7af956

Logo url

Before

https://files.openai.com/content?id=file_00000000a9b881f69ec8c772e6c5f066

After

https://files.openai.com/content?id=file_00000000108c81f696095c3fbea4e0ae

Screenshot urls

Before

["https://chatgpt.com/backend-api/estuary/content?id=file_0000000060187208b38a9138ddeaf64e","https://chatgpt.com/backend-api/estuary/content?id=file_00000000fe387208984d5738de31459a"]

After

[]

Version

Before

1.0.0

After

2.0.0

Compare saved observations

Download comparison JSON
Full technical diff · 4 changed fields

changed /release/id

BEFORE
"pluginrel_e3f2da87ce1c8191ac450085535af6ee"
AFTER
"pluginrel_bb072f35de7c8191bda444a43a7af956"

changed /release/interface/logo_url

BEFORE
"https://files.openai.com/content?id=file_00000000a9b881f69ec8c772e6c5f066"
AFTER
"https://files.openai.com/content?id=file_00000000108c81f696095c3fbea4e0ae"

changed /release/interface/screenshot_urls

BEFORE
[
  "https://chatgpt.com/backend-api/estuary/content?id=file_0000000060187208b38a9138ddeaf64e",
  "https://chatgpt.com/backend-api/estuary/content?id=file_00000000fe387208984d5738de31459a"
]
AFTER
[]

changed /release/version

BEFORE
"1.0.0"
AFTER
"2.0.0"
Full snapshot data
{
  "canonical_app_id": "asdk_app_6a282d986ad08191be4c6e6b8ccf81b9",
  "connector_id": "asdk_app_6a282d986ad08191be4c6e6b8ccf81b9",
  "created_at": "2026-06-23T03:46:14.322678Z",
  "discoverability": "LISTED",
  "id": "plugin_asdk_app_6a282d986ad08191be4c6e6b8ccf81b9",
  "is_template": false,
  "name": "app-6a282d986ad08191be4c6e6b8ccf81b9",
  "release": {
    "app_ids": [
      "asdk_app_6a282d986ad08191be4c6e6b8ccf81b9"
    ],
    "app_manifest": {
      "apps": {
        "app-6a282d986ad08191be4c6e6b8ccf81b9": {
          "id": "asdk_app_6a282d986ad08191be4c6e6b8ccf81b9",
          "required": true
        }
      }
    },
    "app_templates": [],
    "description": "Turn any topic into study-ready materials directly from ChatGPT. Lurna helps you generate interactive flashcard decks you can flip through in chat, plus structured Markdown study notes in a clean reader view. Review key concepts faster, then export decks and notes to app.lurna.co to keep learning with spaced repetition — making serious review a native part of your AI-study workflow.\n\nYou can use Lurna app to:\n\n1. Exam prep — flashcards from a lecture topic\nUse case: Turn a subject you’re studying into an interactive flashcard deck you can review in chat, then export to Lurna for spaced repetition.\nExample prompt: “Create flashcards for my biology midterm on photosynthesis — cover the light reactions, Calvin cycle, and how ATP and NADPH are used. About 15 cards, exam-level.”\n\n2. Deep-dive study notes from a conversation\nUse case: After discussing a complex topic with AI, turn the explanation into structured, readable study notes with headings, tables, and summaries\nExample prompt: “Write study notes on the causes and consequences of the 2008 financial crisis. Include key terms, a timeline, and a short summary I can review before class.”\n\n3. Learn from uploaded materials — notes + flashcards\nUse case: Upload readings, slides, or your own notes and convert them into study materials without reformatting by hand.\nExample prompt: “Here are my uploaded lecture notes on CRISPR Cas9. First generate study notes, then create a flashcard set covering the most testable concepts.”\n\n4. Quick review before an interview or certification\nUse case: Rapidly build recall-focused flashcards for technical interviews, certifications, or vocabulary.\nExample prompt: “Generate flashcards to help me prep for a AWS Solutions Architect interview — focus on S3, IAM, VPC, and common architecture tradeoffs.”",
    "display_name": "Lurna",
    "id": "pluginrel_bb072f35de7c8191bda444a43a7af956",
    "interface": {
      "brand_color": null,
      "capabilities": [],
      "category": "Education & Research",
      "composer_icon_dark_url": null,
      "composer_icon_url": null,
      "default_prompt": "Generate flashcards about Crispr Cas-9 for my upcoming Biology midterm",
      "default_prompts": [
        "Generate flashcards about Crispr Cas-9 for my upcoming Biology midterm",
        "Write comprehensive notes on Linked Lists. Cover key concepts & definitions"
      ],
      "developer_name": "Lurna",
      "logo_url": "https://files.openai.com/content?id=file_00000000108c81f696095c3fbea4e0ae",
      "logo_url_dark": null,
      "long_description": "Turn any topic into study-ready materials directly from ChatGPT. Lurna helps you generate interactive flashcard decks you can flip through in chat, plus structured Markdown study notes in a clean reader view. Review key concepts faster, then export decks and notes to app.lurna.co to keep learning with spaced repetition — making serious review a native part of your AI-study workflow.\n\nYou can use Lurna app to:\n\n1. Exam prep — flashcards from a lecture topic\nUse case: Turn a subject you’re studying into an interactive flashcard deck you can review in chat, then export to Lurna for spaced repetition.\nExample prompt: “Create flashcards for my biology midterm on photosynthesis — cover the light reactions, Calvin cycle, and how ATP and NADPH are used. About 15 cards, exam-level.”\n\n2. Deep-dive study notes from a conversation\nUse case: After discussing a complex topic with AI, turn the explanation into structured, readable study notes with headings, tables, and summaries\nExample prompt: “Write study notes on the causes and consequences of the 2008 financial crisis. Include key terms, a timeline, and a short summary I can review before class.”\n\n3. Learn from uploaded materials — notes + flashcards\nUse case: Upload readings, slides, or your own notes and convert them into study materials without reformatting by hand.\nExample prompt: “Here are my uploaded lecture notes on CRISPR Cas9. First generate study notes, then create a flashcard set covering the most testable concepts.”\n\n4. Quick review before an interview or certification\nUse case: Rapidly build recall-focused flashcards for technical interviews, certifications, or vocabulary.\nExample prompt: “Generate flashcards to help me prep for a AWS Solutions Architect interview — focus on S3, IAM, VPC, and common architecture tradeoffs.”",
      "plugin_category_id": "education & research",
      "privacy_policy_url": "https://lurna.co/privacy",
      "screenshot_urls": [],
      "short_description": "Study flashcards and notes",
      "terms_of_service_url": "https://lurna.co/terms",
      "website_url": "https://lurna.co"
    },
    "keywords": [],
    "mcp_servers": [],
    "onboarding_skill_name": null,
    "requires_local_executor": false,
    "skills": [],
    "version": "2.0.0"
  },
  "scope": "GLOBAL",
  "share_url": "https://chatgpt.com/plugins/lurna?open_in_app",
  "status": "ENABLED"
}

SHA-256 of public snapshot: 31acf3cd7bd77cd181e4c8aca762ea37c4cce51bcf04db75a0c604e90743fce1