{"id":11807,"date":"2026-05-04T14:54:05","date_gmt":"2026-05-04T14:54:05","guid":{"rendered":"https:\/\/botsify.com\/blog\/?p=11807"},"modified":"2026-05-04T14:54:42","modified_gmt":"2026-05-04T14:54:42","slug":"a-simple-guide-on-how-to-test-ai-agents","status":"publish","type":"post","link":"https:\/\/botsify.com\/blog\/a-simple-guide-on-how-to-test-ai-agents\/","title":{"rendered":"A Simple Guide on How to Test AI Agents"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">As AI agents take over tasks like test execution, debugging, data analysis, and tool coordination, the need to understand<\/span><a href=\"https:\/\/www.testmuai.com\/agent-to-agent-testing\"> <b>how to test AI agents<\/b><\/a><span style=\"font-weight: 400;\"> properly has become critical. These systems make autonomous decisions. When they fail, whether through hallucinations, wrong tool calls, or inconsistent reasoning, they can disrupt entire workflows.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That\u2019s why learning how to test AI agents has become essential for every team adopting AI in their testing environments. Effective testing ensures that AI agents behave consistently, reason accurately, follow instructions reliably, and remain stable even in complex or unexpected scenarios.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_69_1 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title ez-toc-toggle\" style=\"cursor:pointer\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #fee22e;color:#fee22e\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #fee22e;color:#fee22e\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/botsify.com\/blog\/a-simple-guide-on-how-to-test-ai-agents\/#What_Is_AI_Agent_Testing\" title=\"What Is AI Agent Testing\">What Is AI Agent Testing<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/botsify.com\/blog\/a-simple-guide-on-how-to-test-ai-agents\/#Portable_AI_Agents_In_Seconds_Use_Everywhere\" title=\"Portable AI Agents In Seconds, Use Everywhere\">Portable AI Agents In Seconds, Use Everywhere<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/botsify.com\/blog\/a-simple-guide-on-how-to-test-ai-agents\/#What_Makes_AI_Agents_Hard_to_Test\" title=\"What Makes AI Agents Hard to Test\">What Makes AI Agents Hard to Test<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/botsify.com\/blog\/a-simple-guide-on-how-to-test-ai-agents\/#Methods_for_Testing_AI_Agents\" title=\"Methods for Testing AI Agents\">Methods for Testing AI Agents<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/botsify.com\/blog\/a-simple-guide-on-how-to-test-ai-agents\/#How_to_Test_AI_Agents\" title=\"How to Test AI Agents\">How to Test AI Agents<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/botsify.com\/blog\/a-simple-guide-on-how-to-test-ai-agents\/#Conclusion\" title=\"Conclusion\">Conclusion<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/botsify.com\/blog\/a-simple-guide-on-how-to-test-ai-agents\/#AI_Agentic_Platform_For_Building_Portable_AI_Agents\" title=\"AI Agentic Platform For Building Portable AI Agents\">AI Agentic Platform For Building Portable AI Agents<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_Is_AI_Agent_Testing\"><\/span><b>What Is AI Agent Testing<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">AI agent testing is the process of evaluating how autonomous, AI-driven systems behave when they\u2019re responsible for making decisions on their own. Rather than checking fixed code paths, the focus is on how an agent interprets inputs, selects actions, and adapts to situations that don\u2019t follow a predictable script.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These agents represent the core of present-day<\/span><a href=\"https:\/\/www.testmuai.com\/ai-automation\"> <b>AI automation<\/b><\/a><span style=\"font-weight: 400;\"> in most cases, coordinating tools, analyzing data, and handling tasks with very little human intervention. Because they operate independently, testing becomes less about verifying a single output and more about understanding the patterns behind their behavior, how they reason, how consistently they perform, and how safely they respond to unexpected conditions. These systems are often developed using modern <\/span><a href=\"https:\/\/botsify.com\/blog\/ai-agent-frameworks\/\"><span style=\"font-weight: 400;\">AI agent frameworks<\/span><\/a><span style=\"font-weight: 400;\">, which define how agents reason, act, and interact within complex environments.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Many agents can even generate or refine their own test cases, which means evaluation must extend beyond correctness to include reliability, stability across runs, and resilience to edge cases. Effective AI agent testing ensures that autonomy works in your favor, supporting workflows, improving accuracy, and strengthening the systems the agent interacts with.<\/span><\/p>\n<p>&nbsp;<\/p>\n<section class=\"bt-blog-inline-subs-wrap\">\n<div class=\"bt-blog-inline-subs-inr inline-subs-v3\">\n<h3><span class=\"ez-toc-section\" id=\"Portable_AI_Agents_In_Seconds_Use_Everywhere\"><\/span>Portable AI Agents In Seconds, Use Everywhere<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Prompt, Test, and Deploy AI Agents Across Social Platforms and LLMs. Automate Everything.<\/p>\n<div class=\"inline-subs-cta\"><a class=\"bt-glb-btn\" href=\"\/register\" target=\"_blank\" rel=\"noopener noreferrer\">Create Now!<\/a><\/div>\n<\/div>\n<\/section>\n<style>.bt-blog-inline-subs-wrap {padding: 32px 50px;margin: 40px 0;height:205px;border-radius: 6px;background-image: url(\"https:\/\/bucket.osam.one\/templates\/images\/blog_bg_131032_1754305430.png\");background-size: cover;}.inline-subs-v3 h3 {text-align: center;color: white;font-size: 24px;font-weight: 500;margin:10px 0px;<br \/>}.inline-subs-v3 p, .inline-subs-v3 .inline-subs-cta {text-align: center;color: white;}.bt-blog-inline-subs-wrap .bt-glb-btn{border-style: solid;color: #ffffff;border-color: #6d3adb;background-color: #6d3adb;border-radius: 2px;padding-top: 10px;padding-right:40px;padding-bottom: 10px;padding-left: 40px;font-family: 'Lexend', sans-serif !important; font-weight: 500;line-height: 1;}<\/style>\n<h2><span class=\"ez-toc-section\" id=\"What_Makes_AI_Agents_Hard_to_Test\"><\/span><b>What Makes AI Agents Hard to Test<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Testing AI agents is complex because they learn, adapt, and operate in unpredictable environments. Their behavior changes with context, making it difficult to ensure consistent and transparent results.<\/span><\/p>\n<p><b>Non-Determinism Complicates Testing<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">AI behavior can change based on factors like wording, past context, or recent interactions. Small adjustments, like rephrasing a prompt, can lead to very different results. This unpredictability is especially noticeable in open-ended tasks, where there isn&#8217;t one correct answer to compare.<\/span><\/p>\n<p><b>Emergent Behavior<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">As models mature, AI agents can display unexpected behaviors even when the underlying code has not changed. Updates to model weights, system optimizations, or prompt modifications can trigger new patterns that are hard to predict. Unlike conventional software, these emergent patterns cannot always be predicted through static test cases.<\/span><\/p>\n<p><b>Dependencies on Tools, APIs, and Memory<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">AI agents rarely operate alone. They sometimes rely on external APIs, databases, and search tools, any of which can add variability. Responses that are slow or inconsistent can create problems for the agent&#8217;s workflow. Agents often employ memory to manage previous interactions, but it\u2019s difficult to know how that memory impacts decisions or to identify when it leads to errors.<\/span><\/p>\n<p><b>Complex Multi-Step Reasoning<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Most AI agents carry out multi-step reasoning processes. Testing them means looking at not only the result but also the entire reasoning chain. This makes testing AI agents more of a whole-system exercise, focused on assessing reasoning paths rather than isolated functions.<\/span><\/p>\n<p><b>Multi-Agent Coordination<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">More complex AI systems typically include multiple agents working together or delegating tasks. This adds asynchronous workflows and interdependencies. One misinterpretation, hallucination, or tool misuse by one agent can propagate across the system, complicating the identification of the source of errors.<\/span><\/p>\n<p><b>Hallucinations and Model Instability<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Large language models (LLMs) hallucinate, meaning they provide confident outputs that are factually incorrect. These can range from small errors to serious mistakes, especially in sensitive domains like healthcare or customer service. Hallucinations are unreliable, so an output that passes today could fail tomorrow in the same setting.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Methods_for_Testing_AI_Agents\"><\/span><b>Methods for Testing AI Agents<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Testing AI agents can be done in many ways, depending on what you want to measure. Here are some of the most important methods used to evaluate AI agents effectively.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-11808 size-large\" src=\"https:\/\/botsify.com\/blog\/wp-content\/uploads\/2026\/05\/methods-for-testing-ai-agents-683x1024.jpg\" alt=\"methods to test ai agents\" width=\"683\" height=\"1024\" srcset=\"https:\/\/botsify.com\/blog\/wp-content\/uploads\/2026\/05\/methods-for-testing-ai-agents-683x1024.jpg 683w, https:\/\/botsify.com\/blog\/wp-content\/uploads\/2026\/05\/methods-for-testing-ai-agents-200x300.jpg 200w, https:\/\/botsify.com\/blog\/wp-content\/uploads\/2026\/05\/methods-for-testing-ai-agents-768x1152.jpg 768w, https:\/\/botsify.com\/blog\/wp-content\/uploads\/2026\/05\/methods-for-testing-ai-agents.jpg 1024w\" sizes=\"(max-width: 683px) 100vw, 683px\" \/><\/p>\n<p><b>Agent-to-Agent Testing<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Agent-to-Agent testing is an advanced, AI-based method in which intelligent agents are tested and verified by other AI agents using realistic, automated interactions. Unlike traditional testing, which can overlook flaws in multi-agent workflows, A2A testing simulates real-world, dynamic scenarios to build more resilient and trustworthy AI systems.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With the increasing sophistication of AI ecosystems, testing effectively requires environments that enable large-scale simulation and continuous verification. <\/span><b>TestMu AI<\/b><span style=\"font-weight: 400;\"> is one of the first platforms to introduce agent-to-agent testing, allowing teams to test how smart agents engage, collaborate, and act in real-world situations. Its integration of cloud scale and intelligent automation makes multi-agent testing more accessible, dependable, and future-ready.<\/span><\/p>\n<p><b>Unit Testing<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Unit testing is the cornerstone of AI agent testing.It involves testing the building blocks of your agent in isolation to ensure every part works as it should, especially when you <\/span><a href=\"https:\/\/botsify.com\/blog\/build-ai-agent-without-coding\/\"><span style=\"font-weight: 400;\">build AI agents<\/span><\/a><span style=\"font-weight: 400;\"> with multiple interconnected components. This may include intent recognition models, entity extraction, and backend API calls. Automated unit tests enable repeated checks of these components so each function consistently produces the expected outcome as the AI system grows.<\/span><\/p>\n<p><b>Functional Testing<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Functional testing focuses on end-to-end validation of AI agent workflows. It checks that all parts of the system integrate properly and function smoothly. For a customer care chatbot, functional testing ensures the agent correctly understands user needs, retrieves necessary details like order numbers, and provides the right answer or action.<\/span><\/p>\n<p><b>Performance and Load Testing<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">AI agents must withstand real-world situations, such as multiple simultaneous users or high-demand environments. Performance and load testing measure response times, system throughput, and scalability. By simulating large numbers of concurrent interactions, you ensure the AI agent remains responsive, reliable, and scalable without bottlenecks or crashes.<\/span><\/p>\n<p><b>Usability &amp; Human-in-the-Loop Testing<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Even the smartest AI agent can fall short if people can\u2019t use it easily. Usability testing examines how smoothly users interact with the agent, whether its responses make sense, and if tasks can be completed without frustration. Observing users and gathering feedback highlights breakdowns and areas for improvement in design.<\/span><\/p>\n<p><b>NLP-Specific Testing<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">For language-processing AI agents, testing goes beyond normal functional checks. NLP-specific testing verifies whether the agent interprets intentions correctly, handles grammar, slang, or accent differences, and demonstrates contextual awareness. This ensures the agent understands meaning, not just literal text, for precise and reliable interactions.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_to_Test_AI_Agents\"><\/span><b>How to Test AI Agents<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Testing an AI agent becomes much easier when you follow a clear, step-by-step process. This helps you see how well it performs for real users.<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Define Objectives and Process Structure<\/b><b><br \/>\n<\/b> <span style=\"font-weight: 400;\">Clearly outline what you expect your<\/span><a href=\"https:\/\/botsify.com\/blog\/what-is-an-ai-agent\/\"><span style=\"font-weight: 400;\"> AI agent<\/span><\/a><span style=\"font-weight: 400;\"> to do and how it should behave. Set targets for task accuracy, response speed, tool usage, and error handling. Breaking the agent into smaller components, such as input understanding, multi-step action planning, context memory, and error recovery, helps build a focused testing plan.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Use Benchmark and Custom Datasets<\/b><b><br \/>\n<\/b> <span style=\"font-weight: 400;\">Benchmark datasets provide uniform metrics to evaluate the AI agent against established models. Custom datasets allow testing domain-specific or specialized scenarios. Combining both ensures comprehensive evaluation, highlights weaknesses, measures progress, and ensures readiness for diverse real-world conditions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Simulation and Controlled Testing<\/b><b><br \/>\n<\/b> <span style=\"font-weight: 400;\">Controlled simulations let you evaluate decisions, actions, and results in a safe environment, without affecting real users. Multi-agent simulations reveal emergent behaviors, coordination issues, or integration challenges. Maintaining versioned datasets, environment parity with production, and reproducible test runs ensures simulations accurately reflect real-world scenarios.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Select the Right Testing Framework<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">A structured testing framework ensures consistency and efficiency, particularly when working with an <\/span><a href=\"https:\/\/botsify.com\/ai-agent-builder\"><span style=\"font-weight: 400;\">AI agent builder<\/span><\/a><span style=\"font-weight: 400;\"> that simplifies development and testing workflows. It should support automated and human-in-the-loop testing, track conversation flows, verify tool usage, and handle end-to-end scenario validation. A phased approach, starting with functional testing, adding reasoning evaluation, and concluding with full workflow tests, ensures thorough coverage.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Human and Automated Evaluation<\/b><b><br \/>\n<\/b> <span style=\"font-weight: 400;\">Human judgment enriches the understanding of the AI agent&#8217;s capabilities, while automated evaluation provides scalability. Experts assess outputs for accuracy, ethical alignment, and context relevance. Automated evaluators enable large-scale checks for consistency, logic, and task completion. Hybrid evaluation ensures AI agents are effective and user-friendly.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Performance Metrics Evaluation<\/b><b><br \/>\n<\/b> <span style=\"font-weight: 400;\">Evaluate AI agents using metrics that capture behavior, reliability, and reasoning, not just prediction accuracy. Key measures include task completion rate, response consistency, multi-step reasoning quality, tool selection correctness, and latency. These metrics demonstrate how robustly and efficiently the agent performs under real conditions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>\u00a0Safety and Security Evaluation<\/b><b><br \/>\n<\/b> <span style=\"font-weight: 400;\">Safety and security testing prevent harmful outputs and vulnerabilities. Red-teaming, stress tests, and adversarial scenarios identify risks. Continuous monitoring ensures sensitive data is handled carefully and that agents behave ethically. Lessons from these checks improve reliability and resilience over time.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Real-World Testing and Iteration<\/b><b><br \/>\n<\/b> <span style=\"font-weight: 400;\">Finally, test AI agents with real users in controlled settings. Observing engagement, task completion, and interaction quality provides insights that simulations cannot capture. Iteration based on these observations refines the AI agent for practical, everyday use.<\/span><\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><b>Conclusion<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Testing AI agents is no longer just about checking whether they produce the right output.It\u2019s about understanding how they think, adapt, and behave in unpredictable real-world environments, especially as <\/span><a href=\"https:\/\/botsify.com\/blog\/ai-agents-for-small-businesses\/\"><span style=\"font-weight: 400;\">AI agents for small businesses<\/span><\/a><span style=\"font-weight: 400;\"> and enterprises become more widely adopted.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Structured testing, multi-agent simulations, benchmark and custom datasets, performance metrics, and continuous real-world validation help ensure AI agents remain stable, accurate, and dependable over time.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<section class=\"bt-blog-inline-subs-wrap\">\n<div class=\"bt-blog-inline-subs-inr inline-subs-v3\">\n<h3><span class=\"ez-toc-section\" id=\"AI_Agentic_Platform_For_Building_Portable_AI_Agents\"><\/span>AI Agentic Platform For Building Portable AI Agents<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Say Hello To Agentic AI That Connects With Your CRM And Even Other Agents<\/p>\n<div class=\"inline-subs-cta\"><a class=\"bt-glb-btn\" href=\"\/book-demo\" target=\"_blank\" rel=\"noopener noreferrer\">Book Now!<\/a><\/div>\n<\/div>\n<\/section>\n<style>.bt-blog-inline-subs-wrap {padding: 32px 50px;margin: 40px 0;height:205px;border-radius: 6px;background-image: url(\"https:\/\/bot-file-upload-eu-1.s3.eu-west-1.amazonaws.com\/templates\/images\/blog-footer-final_123310_1690802775.png\");background-size: cover;}.inline-subs-v3 h3 {text-align: center;color: white;font-size: 24px;font-weight: 500;margin:10px 0px;<br \/>}.inline-subs-v3 p, .inline-subs-v3 .inline-subs-cta {text-align: center;color: white;}.bt-blog-inline-subs-wrap .bt-glb-btn{border-style: solid;color: #ffffff;border-color: #0a5bff;background-color: #10d0a2;border-radius: 2px;padding-top: 10px;padding-right:40px;padding-bottom: 10px;padding-left: 40px;font-family: inherit;font-weight: 500;line-height: 1;}<\/style>\n","protected":false},"excerpt":{"rendered":"<p>As AI agents take over tasks like test execution, debugging, data analysis, and tool coordination, the need to understand how to test AI agents properly &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/botsify.com\/blog\/a-simple-guide-on-how-to-test-ai-agents\/\"> <span class=\"screen-reader-text\">A Simple Guide on How to Test AI Agents<\/span> Read More \u00bb<\/a><\/p>\n","protected":false},"author":185,"featured_media":11823,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1126],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.9 - 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