🐦 Twitter Post Details

Viewing enriched Twitter post

@llama_index

See how @pathwork scaled their life insurance document processing from 5,000 to 40,000 pages per week using LlamaParse. πŸ“„ Process complex medical records, lab results, and decades-old scanned PDFs with 8x improved throughput πŸ€– Automatically extract and index carrier underwriting guidelines to keep risk rules current ⚑ Replace fragile, manual pipelines with robust automation that handles everything from digital forms to 1970s faded scans 🎯 Free up engineering time from maintenance to focus on building new product features @pathwork's Case Underwriter, Knowledge Assistant, and Pre-App Manager products all rely on transforming unstructured insurance documentation into structured data for faster decision-making. By integrating LlamaParse, they eliminated bottlenecks that were directly limiting customer growth and built future-proof infrastructure that automatically improves over time. Read the full case study: https://t.co/Cla0bDzPji

Media 1
Media 2

πŸ“Š Media Metadata

{
  "media": [
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1988290671279829204/media_0.jpg?",
      "filename": "media_0.jpg"
    },
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1988290671279829204/media_1.png?",
      "filename": "media_1.png"
    }
  ],
  "processed_at": "2025-11-27T20:22:17.431940",
  "pipeline_version": "2.0"
}

πŸ”§ Raw API Response

{
  "type": "tweet",
  "id": "1988290671279829204",
  "url": "https://x.com/llama_index/status/1988290671279829204",
  "twitterUrl": "https://twitter.com/llama_index/status/1988290671279829204",
  "text": "See how @pathwork scaled their life insurance document processing from 5,000 to 40,000 pages per week using LlamaParse.\n\nπŸ“„ Process complex medical records, lab results, and decades-old scanned PDFs with 8x improved throughput\nπŸ€– Automatically extract and index carrier underwriting guidelines to keep risk rules current\n⚑ Replace fragile, manual pipelines with robust automation that handles everything from digital forms to 1970s faded scans\n🎯 Free up engineering time from maintenance to focus on building new product features\n\n@pathwork's Case Underwriter, Knowledge Assistant, and Pre-App Manager products all rely on transforming unstructured insurance documentation into structured data for faster decision-making. By integrating LlamaParse, they eliminated bottlenecks that were directly limiting customer growth and built future-proof infrastructure that automatically improves over time.\n\nRead the full case study: https://t.co/Cla0bDzPji",
  "source": "Twitter for iPhone",
  "retweetCount": 5,
  "replyCount": 1,
  "likeCount": 24,
  "quoteCount": 1,
  "viewCount": 25135,
  "createdAt": "Tue Nov 11 17:00:11 +0000 2025",
  "lang": "en",
  "bookmarkCount": 20,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "1988290671279829204",
  "displayTextRange": [
    0,
    268
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "llama_index",
    "url": "https://x.com/llama_index",
    "twitterUrl": "https://twitter.com/llama_index",
    "id": "1604278358296055808",
    "name": "LlamaIndex πŸ¦™",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1967920417760251904/0ytfduMQ_normal.png",
    "coverPicture": "https://pbs.twimg.com/profile_banners/1604278358296055808/1758023766",
    "description": "",
    "location": "",
    "followers": 104427,
    "following": 28,
    "status": "",
    "canDm": false,
    "canMediaTag": true,
    "createdAt": "Sun Dec 18 00:52:44 +0000 2022",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 1453,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 1778,
    "statusesCount": 3636,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [
      "1986810928713855235"
    ],
    "profile_bio": {
      "description": "AI Agents for document OCR + workflows\n\nGithub: https://t.co/HC19j7veGE\nDocs: https://t.co/QInqg2yMCJ\nLlamaCloud: https://t.co/yQGTiRSfFL",
      "entities": {
        "description": {
          "urls": [
            {
              "display_url": "github.com/run-llama/llam…",
              "expanded_url": "http://github.com/run-llama/llama_index",
              "indices": [
                48,
                71
              ],
              "url": "https://t.co/HC19j7veGE"
            },
            {
              "display_url": "docs.llamaindex.ai",
              "expanded_url": "http://docs.llamaindex.ai",
              "indices": [
                78,
                101
              ],
              "url": "https://t.co/QInqg2yMCJ"
            },
            {
              "display_url": "cloud.llamaindex.ai",
              "expanded_url": "https://cloud.llamaindex.ai/",
              "indices": [
                114,
                137
              ],
              "url": "https://t.co/yQGTiRSfFL"
            }
          ]
        },
        "url": {
          "urls": [
            {
              "display_url": "llamaindex.ai",
              "expanded_url": "https://www.llamaindex.ai/",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/epzefqPT9Z"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "display_url": "pic.twitter.com/xiolsPKaaY",
        "expanded_url": "https://twitter.com/llama_index/status/1988290671279829204/photo/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "features": {
          "large": {
            "faces": [
              {
                "h": 73,
                "w": 73,
                "x": 555,
                "y": 545
              },
              {
                "h": 163,
                "w": 163,
                "x": 1151,
                "y": 487
              }
            ]
          },
          "orig": {
            "faces": [
              {
                "h": 87,
                "w": 87,
                "x": 656,
                "y": 645
              },
              {
                "h": 193,
                "w": 193,
                "x": 1361,
                "y": 576
              }
            ]
          }
        },
        "id_str": "1988290666779312129",
        "indices": [
          269,
          292
        ],
        "media_key": "3_1988290666779312129",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARuX09O3mwABCgACG5fT1MPbcNQAAA==",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAABCgABG5fT07ebAAEKAAIbl9PUw9tw1AAA",
            "media_key": "3_1988290666779312129"
          }
        },
        "media_url_https": "https://pbs.twimg.com/media/G5fT07ebAAEOuAt.jpg",
        "original_info": {
          "focus_rects": [
            {
              "h": 1355,
              "w": 2420,
              "x": 0,
              "y": 0
            },
            {
              "h": 1358,
              "w": 1358,
              "x": 0,
              "y": 0
            },
            {
              "h": 1358,
              "w": 1191,
              "x": 0,
              "y": 0
            },
            {
              "h": 1358,
              "w": 679,
              "x": 0,
              "y": 0
            },
            {
              "h": 1358,
              "w": 2420,
              "x": 0,
              "y": 0
            }
          ],
          "height": 1358,
          "width": 2420
        },
        "sizes": {
          "large": {
            "h": 1149,
            "w": 2048
          }
        },
        "type": "photo",
        "url": "https://t.co/xiolsPKaaY"
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "urls": [
      {
        "display_url": "llamaindex.ai/customers/path…",
        "expanded_url": "https://www.llamaindex.ai/customers/pathwork-automates-information-extraction-from-medical-records-and-underwriting-guidelines-with?utm_source=socials&utm_medium=li_social",
        "indices": [
          923,
          946
        ],
        "url": "https://t.co/Cla0bDzPji"
      }
    ],
    "user_mentions": [
      {
        "id_str": "56493498",
        "indices": [
          8,
          17
        ],
        "name": "International Pathwork Foundation",
        "screen_name": "pathwork"
      },
      {
        "id_str": "56493498",
        "indices": [
          529,
          538
        ],
        "name": "International Pathwork Foundation",
        "screen_name": "pathwork"
      }
    ]
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "article": null
}