{"id":2836,"date":"2025-05-12T15:36:12","date_gmt":"2025-05-12T15:36:12","guid":{"rendered":"https:\/\/fadyanwar.com\/?p=2836"},"modified":"2025-05-12T15:36:14","modified_gmt":"2025-05-12T15:36:14","slug":"lessons-learned-navigating-llm-hallucinations-in-technical-integrations","status":"publish","type":"post","link":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/","title":{"rendered":"Lessons Learned: Navigating LLM Hallucinations in Technical Integrations"},"content":{"rendered":"\n

(And How to Avoid the Pitfalls of “Plausible Code”)<\/strong><\/p>\n\n\n\n

Large language models (LLMs) have become indispensable tools for developers, offering rapid solutions to complex problems. However, their tendency to generate hallucinations<\/strong>\u2014confident yet incorrect or outdated outputs\u2014can turn a time-saving tool into a debugging nightmare. During a recent technical proof-of-concept (PoC) involving cloud services and third-party API integrations, I encountered several LLM-generated pitfalls that revealed critical lessons for developers. Here\u2019s what I learned.<\/p>\n\n\n\n

\n\n\n\n

1. The Dependency Mirage<\/strong><\/h3>\n\n\n\n

What Happened<\/strong>:
The LLM recommended a NuGet package version with known security vulnerabilities. While the code compiled, it introduced risks like credential leakage due to outdated dependencies.<\/p>\n\n\n\n

Lesson Learned<\/strong>:
LLMs lack context about evolving security landscapes. They prioritize “what works” over “what\u2019s secure.”<\/p>\n\n\n\n

Mitigation<\/strong>:<\/p>\n\n\n\n

    \n
  • Cross-check dependencies<\/strong>: Use tools like dotnet list package --vulnerable<\/code> or GitHub Security Advisories.<\/li>\n\n\n\n
  • Freeze versions cautiously<\/strong>: Specify minor\/patch versions (e.g., Azure.Identity >= 1.11.0<\/code>) to avoid silent upgrades.<\/li>\n<\/ul>\n\n\n\n
    \n\n\n\n

    2. The Namespace Ambiguity Trap<\/strong><\/h3>\n\n\n\n

    What Happened<\/strong>:
    The model generated code with conflicting references (e.g., HttpTrigger<\/code> from incompatible SDKs), causing compilation chaos.<\/p>\n\n\n\n

    Lesson Learned<\/strong>:
    LLMs struggle to infer project execution models (e.g., in-process vs. isolated Azure Functions).<\/p>\n\n\n\n

    Mitigation<\/strong>:<\/p>\n\n\n\n

      \n
    • Declare your architecture explicitly<\/strong>: Include terms like “isolated process” or “.NET 8” in prompts.<\/li>\n\n\n\n
    • Use fully qualified namespaces<\/strong> for critical components (e.g., Microsoft.Azure.Functions.Worker.HttpTrigger<\/code>).<\/li>\n<\/ul>\n\n\n\n
      \n\n\n\n

      3. The Authentication Illusion<\/strong><\/h3>\n\n\n\n

      What Happened<\/strong>:
      The LLM suggested a simplified OAuth 2.0 flow that worked locally but violated security best practices for production (e.g., hardcoded credentials).<\/p>\n\n\n\n

      Lesson Learned<\/strong>:
      LLMs default to the simplest authentication method, not the most secure or scalable one.<\/p>\n\n\n\n

      Mitigation<\/strong>:<\/p>\n\n\n\n

        \n
      • Pair LLM code with platform docs<\/strong>: Always validate against official guides (e.g., OAuth 2.0 for your service).<\/li>\n\n\n\n
      • Leverage managed identities<\/strong>: Use cloud-native solutions like Azure Key Vault for secret storage.<\/li>\n<\/ul>\n\n\n\n
        \n\n\n\n

        4. The Phantom SDK Method<\/strong><\/h3>\n\n\n\n

        What Happened<\/strong>:
        The model referenced a deprecated SDK method (e.g., ApiClient.Configuration<\/code>) that no longer existed in newer library versions.<\/p>\n\n\n\n

        Lesson Learned<\/strong>:
        LLMs hallucinate outdated SDK patterns, especially when trained on mixed historical data.<\/p>\n\n\n\n

        Mitigation<\/strong>:<\/p>\n\n\n\n

          \n
        • Compare outputs with latest SDK docs<\/strong>: Treat LLM code as a suggestion<\/em>, not a final answer.<\/li>\n\n\n\n
        • Test in isolation<\/strong>: Validate critical methods in a sandbox environment first.<\/li>\n<\/ul>\n\n\n\n
          \n\n\n\n

          5. The Package Paradox<\/strong><\/h3>\n\n\n\n

          What Happened<\/strong>:
          The LLM insisted on a NuGet package name that didn\u2019t exist (e.g., confusing a namespace with a package).<\/p>\n\n\n\n

          Lesson Learned<\/strong>:
          LLMs conflate package names, namespaces, and modules.<\/p>\n\n\n\n

          Mitigation<\/strong>:<\/p>\n\n\n\n

            \n
          • Verify package names on official registries<\/strong> (nuget.org, npmjs.com).<\/li>\n\n\n\n
          • Use IDE integrations<\/strong>: Tools like Visual Studio\u2019s NuGet Explorer resolve naming ambiguities.<\/li>\n<\/ul>\n\n\n\n
            \n\n\n\n

            Best Practices for LLM-Assisted Development<\/strong><\/h3>\n\n\n\n
              \n
            1. Triangulate Solutions<\/strong>: Cross-check LLM output with:<\/li>\n<\/ol>\n\n\n\n
                \n
              • Official documentation<\/strong> (e.g., Microsoft Learn, AWS Guides).<\/li>\n\n\n\n
              • Community wisdom<\/strong> (Stack Overflow, GitHub Discussions).<\/li>\n\n\n\n
              • Recent code samples<\/strong> (GitHub Repos, CodePen).<\/li>\n<\/ul>\n\n\n\n
                  \n
                1. Sandbox First<\/strong>: Test LLM-generated code in isolated environments (e.g., Docker containers).<\/li>\n\n\n\n
                2. Embrace Iteration<\/strong>: Expect to debug\u2014hallucinations diminish with iterative refinement.<\/li>\n<\/ol>\n\n\n\n
                  \n\n\n\n

                  Final Thoughts<\/strong><\/h3>\n\n\n\n

                  LLMs are like eager interns: they\u2019ll hand you a<\/em> solution quickly, but it\u2019s your job to ensure it\u2019s the right<\/em> solution. By combining their speed with human intuition\u2014and a healthy distrust of “perfect-looking” code\u2014we can harness their potential while sidestepping their pitfalls.<\/p>\n\n\n\n

                  After all, the best code isn\u2019t just what compiles\u2014it\u2019s what works securely<\/em>, reliably<\/em>, and maintainably<\/em>.<\/p>\n\n\n\n

                  Have you battled LLM hallucinations? Share your strategies below!<\/em> \ud83d\udca1<\/p>\n","protected":false},"excerpt":{"rendered":"

                  (And How to Avoid the Pitfalls of “Plausible Code”) Large language models (LLMs) have become indispensable tools for developers, offering rapid solutions to complex problems. However, their tendency to generate hallucinations\u2014confident yet incorrect or outdated outputs\u2014can turn a time-saving tool into a debugging nightmare. During a recent technical proof-of-concept (PoC) involving cloud services and third-party […]<\/p>\n","protected":false},"author":1,"featured_media":2838,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","_vp_format_video_url":"","_vp_image_focal_point":[],"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2836","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"yoast_head":"\nLessons Learned: Navigating LLM Hallucinations in Technical Integrations - Fady Anwar<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lessons Learned: Navigating LLM Hallucinations in Technical Integrations - Fady Anwar\" \/>\n<meta property=\"og:description\" content=\"(And How to Avoid the Pitfalls of “Plausible Code”) Large language models (LLMs) have become indispensable tools for developers, offering rapid solutions to complex problems. However, their tendency to generate hallucinations\u2014confident yet incorrect or outdated outputs\u2014can turn a time-saving tool into a debugging nightmare. During a recent technical proof-of-concept (PoC) involving cloud services and third-party […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/\" \/>\n<meta property=\"og:site_name\" content=\"Fady Anwar\" \/>\n<meta property=\"article:published_time\" content=\"2025-05-12T15:36:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-05-12T15:36:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/fadyanwar.com\/wp-content\/uploads\/2025\/05\/ChatGPT-Image-May-12-2025-04_35_46-PM.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Fady Anwar\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@fadyanwar\" \/>\n<meta name=\"twitter:site\" content=\"@fadyanwar\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fady Anwar\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/\"},\"author\":{\"name\":\"Fady Anwar\",\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/#\\\/schema\\\/person\\\/b66e3277ceba346f7053a83464e90b03\"},\"headline\":\"Lessons Learned: Navigating LLM Hallucinations in Technical Integrations\",\"datePublished\":\"2025-05-12T15:36:12+00:00\",\"dateModified\":\"2025-05-12T15:36:14+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/\"},\"wordCount\":538,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/#\\\/schema\\\/person\\\/b66e3277ceba346f7053a83464e90b03\"},\"image\":{\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/i0.wp.com\\\/fadyanwar.com\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/ChatGPT-Image-May-12-2025-04_35_46-PM.png?fit=1024%2C1024&ssl=1\",\"articleSection\":[\"Technology\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/\",\"url\":\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/\",\"name\":\"Lessons Learned: Navigating LLM Hallucinations in Technical Integrations - Fady Anwar\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/i0.wp.com\\\/fadyanwar.com\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/ChatGPT-Image-May-12-2025-04_35_46-PM.png?fit=1024%2C1024&ssl=1\",\"datePublished\":\"2025-05-12T15:36:12+00:00\",\"dateModified\":\"2025-05-12T15:36:14+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/#primaryimage\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/fadyanwar.com\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/ChatGPT-Image-May-12-2025-04_35_46-PM.png?fit=1024%2C1024&ssl=1\",\"contentUrl\":\"https:\\\/\\\/i0.wp.com\\\/fadyanwar.com\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/ChatGPT-Image-May-12-2025-04_35_46-PM.png?fit=1024%2C1024&ssl=1\",\"width\":1024,\"height\":1024},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/index.php\\\/2025\\\/05\\\/12\\\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/fadyanwar.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Lessons Learned: Navigating LLM Hallucinations in Technical Integrations\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/#website\",\"url\":\"https:\\\/\\\/fadyanwar.com\\\/\",\"name\":\"Fady Anwar\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/#\\\/schema\\\/person\\\/b66e3277ceba346f7053a83464e90b03\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/fadyanwar.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":[\"Person\",\"Organization\"],\"@id\":\"https:\\\/\\\/fadyanwar.com\\\/#\\\/schema\\\/person\\\/b66e3277ceba346f7053a83464e90b03\",\"name\":\"Fady Anwar\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a9172040bbc3bbe24fb49d59dac20da030af1f5ff628126c979a1d4b71eaed41?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a9172040bbc3bbe24fb49d59dac20da030af1f5ff628126c979a1d4b71eaed41?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a9172040bbc3bbe24fb49d59dac20da030af1f5ff628126c979a1d4b71eaed41?s=96&d=mm&r=g\",\"caption\":\"Fady Anwar\"},\"logo\":{\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a9172040bbc3bbe24fb49d59dac20da030af1f5ff628126c979a1d4b71eaed41?s=96&d=mm&r=g\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Lessons Learned: Navigating LLM Hallucinations in Technical Integrations - Fady Anwar","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/","og_locale":"en_US","og_type":"article","og_title":"Lessons Learned: Navigating LLM Hallucinations in Technical Integrations - Fady Anwar","og_description":"(And How to Avoid the Pitfalls of “Plausible Code”) Large language models (LLMs) have become indispensable tools for developers, offering rapid solutions to complex problems. However, their tendency to generate hallucinations\u2014confident yet incorrect or outdated outputs\u2014can turn a time-saving tool into a debugging nightmare. During a recent technical proof-of-concept (PoC) involving cloud services and third-party […]","og_url":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/","og_site_name":"Fady Anwar","article_published_time":"2025-05-12T15:36:12+00:00","article_modified_time":"2025-05-12T15:36:14+00:00","og_image":[{"width":1024,"height":1024,"url":"https:\/\/fadyanwar.com\/wp-content\/uploads\/2025\/05\/ChatGPT-Image-May-12-2025-04_35_46-PM.png","type":"image\/png"}],"author":"Fady Anwar","twitter_card":"summary_large_image","twitter_creator":"@fadyanwar","twitter_site":"@fadyanwar","twitter_misc":{"Written by":"Fady Anwar","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/#article","isPartOf":{"@id":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/"},"author":{"name":"Fady Anwar","@id":"https:\/\/fadyanwar.com\/#\/schema\/person\/b66e3277ceba346f7053a83464e90b03"},"headline":"Lessons Learned: Navigating LLM Hallucinations in Technical Integrations","datePublished":"2025-05-12T15:36:12+00:00","dateModified":"2025-05-12T15:36:14+00:00","mainEntityOfPage":{"@id":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/"},"wordCount":538,"commentCount":0,"publisher":{"@id":"https:\/\/fadyanwar.com\/#\/schema\/person\/b66e3277ceba346f7053a83464e90b03"},"image":{"@id":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/fadyanwar.com\/wp-content\/uploads\/2025\/05\/ChatGPT-Image-May-12-2025-04_35_46-PM.png?fit=1024%2C1024&ssl=1","articleSection":["Technology"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/","url":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/","name":"Lessons Learned: Navigating LLM Hallucinations in Technical Integrations - Fady Anwar","isPartOf":{"@id":"https:\/\/fadyanwar.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/#primaryimage"},"image":{"@id":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/fadyanwar.com\/wp-content\/uploads\/2025\/05\/ChatGPT-Image-May-12-2025-04_35_46-PM.png?fit=1024%2C1024&ssl=1","datePublished":"2025-05-12T15:36:12+00:00","dateModified":"2025-05-12T15:36:14+00:00","breadcrumb":{"@id":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/#primaryimage","url":"https:\/\/i0.wp.com\/fadyanwar.com\/wp-content\/uploads\/2025\/05\/ChatGPT-Image-May-12-2025-04_35_46-PM.png?fit=1024%2C1024&ssl=1","contentUrl":"https:\/\/i0.wp.com\/fadyanwar.com\/wp-content\/uploads\/2025\/05\/ChatGPT-Image-May-12-2025-04_35_46-PM.png?fit=1024%2C1024&ssl=1","width":1024,"height":1024},{"@type":"BreadcrumbList","@id":"https:\/\/fadyanwar.com\/index.php\/2025\/05\/12\/lessons-learned-navigating-llm-hallucinations-in-technical-integrations\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/fadyanwar.com\/"},{"@type":"ListItem","position":2,"name":"Lessons Learned: Navigating LLM Hallucinations in Technical Integrations"}]},{"@type":"WebSite","@id":"https:\/\/fadyanwar.com\/#website","url":"https:\/\/fadyanwar.com\/","name":"Fady Anwar","description":"","publisher":{"@id":"https:\/\/fadyanwar.com\/#\/schema\/person\/b66e3277ceba346f7053a83464e90b03"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/fadyanwar.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":["Person","Organization"],"@id":"https:\/\/fadyanwar.com\/#\/schema\/person\/b66e3277ceba346f7053a83464e90b03","name":"Fady Anwar","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/a9172040bbc3bbe24fb49d59dac20da030af1f5ff628126c979a1d4b71eaed41?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/a9172040bbc3bbe24fb49d59dac20da030af1f5ff628126c979a1d4b71eaed41?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/a9172040bbc3bbe24fb49d59dac20da030af1f5ff628126c979a1d4b71eaed41?s=96&d=mm&r=g","caption":"Fady Anwar"},"logo":{"@id":"https:\/\/secure.gravatar.com\/avatar\/a9172040bbc3bbe24fb49d59dac20da030af1f5ff628126c979a1d4b71eaed41?s=96&d=mm&r=g"}}]}},"jetpack_featured_media_url":"https:\/\/i0.wp.com\/fadyanwar.com\/wp-content\/uploads\/2025\/05\/ChatGPT-Image-May-12-2025-04_35_46-PM.png?fit=1024%2C1024&ssl=1","jetpack_sharing_enabled":true,"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/fadyanwar.com\/index.php\/wp-json\/wp\/v2\/posts\/2836","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fadyanwar.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fadyanwar.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fadyanwar.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fadyanwar.com\/index.php\/wp-json\/wp\/v2\/comments?post=2836"}],"version-history":[{"count":1,"href":"https:\/\/fadyanwar.com\/index.php\/wp-json\/wp\/v2\/posts\/2836\/revisions"}],"predecessor-version":[{"id":2837,"href":"https:\/\/fadyanwar.com\/index.php\/wp-json\/wp\/v2\/posts\/2836\/revisions\/2837"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/fadyanwar.com\/index.php\/wp-json\/wp\/v2\/media\/2838"}],"wp:attachment":[{"href":"https:\/\/fadyanwar.com\/index.php\/wp-json\/wp\/v2\/media?parent=2836"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fadyanwar.com\/index.php\/wp-json\/wp\/v2\/categories?post=2836"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fadyanwar.com\/index.php\/wp-json\/wp\/v2\/tags?post=2836"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}