{"id":440,"date":"2026-04-09T13:29:43","date_gmt":"2026-04-09T13:29:43","guid":{"rendered":"https:\/\/wrangleai.com\/blog\/?p=440"},"modified":"2026-04-09T13:29:46","modified_gmt":"2026-04-09T13:29:46","slug":"how-ai-finops-prevents-gpt-overuse","status":"publish","type":"post","link":"https:\/\/wrangleai.com\/blog\/how-ai-finops-prevents-gpt-overuse\/","title":{"rendered":"How AI FinOps Prevents GPT Overuse"},"content":{"rendered":"\n<p>Artificial intelligence has changed how modern SaaS companies build products. Tools powered by <a href=\"https:\/\/wrangleai.com\/blog\/llm-usage-monitoring\/\" title=\"large language models\">large language models<\/a> like <a href=\"https:\/\/chatgpt.com\/\" title=\"GPT\">GPT<\/a> are now used in customer support, content creation, analytics, and internal workflows. These tools help teams move faster and deliver better user experiences.<\/p>\n\n\n\n<p>However, as adoption grows, a serious problem begins to appear. Many companies start using GPT models without control. What begins as a useful feature quickly turns into uncontrolled usage, rising costs, and unclear value.<\/p>\n\n\n\n<p>AI FinOps gives companies a structured way to manage AI usage, control costs, and prevent waste. In this blog, you will learn how <a href=\"https:\/\/wrangleai.com\/blog\/ai-finops-checklist-for-scaling-startups\/\" title=\"AI FinOps\">AI FinOps<\/a> helps prevent GPT overuse and how you can apply it in your own organisation.<\/p>\n\n\n<div class=\"wp-block-aioseo-table-of-contents\"><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-ai-finops-5\">What Is AI FinOps<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-understanding-gpt-overuse-13\">Understanding GPT Overuse<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-why-gpt-overuse-is-a-serious-risk-19\">Why GPT Overuse Is a Serious Risk<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-how-ai-finops-prevents-gpt-overuse-24\">How AI FinOps Prevents GPT Overuse<\/a><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-creating-full-visibility-into-ai-usage-26\">Creating Full Visibility into AI Usage<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-controlling-access-and-usage-31\">Controlling Access and Usage<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-aligning-model-selection-with-task-requirements-36\">Aligning Model Selection with Task Requirements<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-improving-prompt-efficiency-41\">Improving Prompt Efficiency<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-reducing-redundant-requests-46\">Reducing Redundant Requests<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-implementing-smart-routing-51\">Implementing Smart Routing<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-setting-budgets-and-alerts-56\">Setting Budgets and Alerts<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-connecting-ai-usage-to-business-value-61\">Connecting AI Usage to Business Value<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-continuous-monitoring-and-optimisation-67\">Continuous Monitoring and Optimisation<\/a><\/li><\/ul><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-common-mistakes-that-lead-to-gpt-overuse-71\">Common Mistakes That Lead to GPT Overuse<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-benefits-of-applying-ai-finops-75\">Benefits of Applying AI FinOps<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-the-role-of-platforms-in-ai-finops-79\">The Role of Platforms in AI FinOps<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-why-wrangleai-is-built-for-ai-finops-83\">Why WrangleAI Is Built for AI FinOps<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-final-thoughts-89\">Final Thoughts<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-faqs-94\">FAQs<\/a><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-ai-finops-95\">What is AI FinOps?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-ai-finops-95\">Why does GPT overuse happen?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-ai-finops-95\">How can AI FinOps prevent GPT overuse?<\/a><\/li><\/ul><\/li><\/ul><\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-what-is-ai-finops-5\">What Is AI FinOps<\/h2>\n\n\n\n<p>AI FinOps is the practice of managing and optimising the financial and operational side of AI usage. It focuses on making sure that every AI request delivers value while keeping costs under control.<\/p>\n\n\n\n<p>It combines three important areas:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Visibility into usage and costs<\/li>\n\n\n\n<li>Control over how AI is used<\/li>\n\n\n\n<li>Continuous optimisation of performance and spend<\/li>\n<\/ul>\n\n\n\n<p>In simple terms, AI FinOps helps you use AI in a smarter and more efficient way.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-understanding-gpt-overuse-13\">Understanding GPT Overuse<\/h2>\n\n\n\n<p>GPT models are powerful, but they are also usage based. Every request, every token, and every response adds to your cost.<\/p>\n\n\n\n<p>Overuse happens when companies rely on GPT models without clear rules or visibility.<\/p>\n\n\n\n<p>This often shows up in several ways.<\/p>\n\n\n\n<p>Teams use GPT for tasks that do not need advanced models.<br>Prompts are long and inefficient, leading to high token usage.<br>The same requests are repeated without caching.<br>There is no tracking of who is using what and why.<br>Costs increase without a clear link to business value.<\/p>\n\n\n\n<p>The problem is not the technology. The problem is how it is used.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-why-gpt-overuse-is-a-serious-risk-19\">Why GPT Overuse Is a Serious Risk<\/h2>\n\n\n\n<p>At first, GPT overuse may not seem like a big issue. Costs may be low, and the system may appear to work well.<\/p>\n\n\n\n<p>But as usage grows, the impact becomes clear.<\/p>\n\n\n\n<p>Costs become unpredictable and difficult to manage.<br>Budgets are exceeded without warning.<br>Teams lose visibility into usage patterns.<br>Resources are wasted on low value tasks.<\/p>\n\n\n\n<p>This creates pressure on both engineering and leadership teams. Without a structured approach, it becomes difficult to scale AI in a sustainable way.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-how-ai-finops-prevents-gpt-overuse-24\">How AI FinOps Prevents GPT Overuse<\/h2>\n\n\n\n<p>AI FinOps addresses these challenges by introducing discipline into how AI is used. It ensures that every request is intentional, efficient, and aligned with business goals.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-creating-full-visibility-into-ai-usage-26\">Creating Full Visibility into AI Usage<\/h3>\n\n\n\n<p>The first step in preventing overuse is visibility.<\/p>\n\n\n\n<p>AI FinOps ensures that companies can track every GPT request across their systems. This includes understanding which models are used, how often they are called, how many tokens are consumed, and how much each request costs.<\/p>\n\n\n\n<p>With this level of visibility, companies can identify patterns of overuse. They can see which features are consuming the most resources and which teams are driving the highest costs.<\/p>\n\n\n\n<p>Without visibility, overuse remains hidden. With visibility, it becomes measurable and manageable.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-controlling-access-and-usage-31\">Controlling Access and Usage<\/h3>\n\n\n\n<p>One of the main causes of GPT overuse is unrestricted access.<\/p>\n\n\n\n<p>When every team member can use GPT without limits, usage grows quickly without accountability.<\/p>\n\n\n\n<p>AI FinOps introduces control by defining who can use AI and how it can be used. This includes setting permissions, defining approved use cases, and limiting access to certain models.<\/p>\n\n\n\n<p>This ensures that AI is used responsibly and prevents unnecessary consumption.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-aligning-model-selection-with-task-requirements-36\">Aligning Model Selection with Task Requirements<\/h3>\n\n\n\n<p>Not every task requires a high performance GPT model.<\/p>\n\n\n\n<p>Many companies make the mistake of using advanced models for simple tasks. This leads to higher costs without improving results.<\/p>\n\n\n\n<p>AI FinOps encourages teams to match the model to the task. Simple queries can be handled by smaller and more cost effective models, while complex tasks can use advanced models when needed.<\/p>\n\n\n\n<p>This approach reduces overuse while maintaining performance.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/wrangleai.com\/demo\/\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"171\" src=\"https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-1024x171.png\" alt=\"CTA\" class=\"wp-image-272\" srcset=\"https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-1024x171.png 1024w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-300x50.png 300w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-768x128.png 768w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-improving-prompt-efficiency-41\">Improving Prompt Efficiency<\/h3>\n\n\n\n<p>Prompt design plays a major role in AI usage.<\/p>\n\n\n\n<p>Long and unclear prompts increase token consumption and often produce inconsistent results. Over time, this leads to unnecessary cost.<\/p>\n\n\n\n<p>AI FinOps focuses on improving prompt efficiency by making prompts clear, structured, and concise. This reduces token usage and improves output quality at the same time.<\/p>\n\n\n\n<p>Better prompts lead to better results with less cost.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-reducing-redundant-requests-46\">Reducing Redundant Requests<\/h3>\n\n\n\n<p>Many AI systems process the same or similar requests multiple times.<\/p>\n\n\n\n<p>Without a proper strategy, this creates repeated costs and unnecessary load on the system.<\/p>\n\n\n\n<p>AI FinOps promotes the use of caching and reuse strategies. By storing common responses and reusing them when needed, companies can reduce the number of API calls and improve efficiency.<\/p>\n\n\n\n<p>This is one of the simplest ways to prevent overuse.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-implementing-smart-routing-51\">Implementing Smart Routing<\/h3>\n\n\n\n<p>Smart routing is a key part of AI FinOps.<\/p>\n\n\n\n<p>Instead of sending every request to the same GPT model, requests are routed based on complexity and requirements.<\/p>\n\n\n\n<p>Basic tasks can be handled by cheaper models, while complex tasks are directed to more advanced models only when necessary.<\/p>\n\n\n\n<p>This ensures that resources are used efficiently and prevents over reliance on expensive models.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-setting-budgets-and-alerts-56\">Setting Budgets and Alerts<\/h3>\n\n\n\n<p>One of the most effective ways to prevent overuse is to set clear financial boundaries.<\/p>\n\n\n\n<p>AI FinOps includes defining budgets for teams, products, or features. It also involves setting alerts that notify teams when usage crosses certain thresholds.<\/p>\n\n\n\n<p>This allows companies to act before costs get out of control.<\/p>\n\n\n\n<p>Budgets and alerts create a system of accountability and ensure that spending remains aligned with business goals.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-connecting-ai-usage-to-business-value-61\">Connecting AI Usage to Business Value<\/h3>\n\n\n\n<p>Not all AI usage delivers value.<\/p>\n\n\n\n<p>Some features may consume significant resources without improving user experience or driving revenue.<\/p>\n\n\n\n<p>AI FinOps ensures that every AI use case is evaluated based on its impact. Companies are encouraged to measure how AI contributes to key outcomes such as engagement, retention, or efficiency.<\/p>\n\n\n\n<p>If a feature does not justify its cost, it needs to be optimised or removed.<\/p>\n\n\n\n<p>This prevents waste and ensures that AI usage remains meaningful.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-continuous-monitoring-and-optimisation-67\">Continuous Monitoring and Optimisation<\/h3>\n\n\n\n<p>AI systems are not static. Usage patterns change, new features are added, and models evolve.<\/p>\n\n\n\n<p>AI FinOps requires continuous monitoring and improvement. Companies must regularly review usage data, identify inefficiencies, and make adjustments.<\/p>\n\n\n\n<p>This ongoing process ensures that GPT overuse does not return over time.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-common-mistakes-that-lead-to-gpt-overuse-71\">Common Mistakes That Lead to GPT Overuse<\/h2>\n\n\n\n<p>Even with good intentions, many companies fall into common traps.<\/p>\n\n\n\n<p>They focus on building features without considering cost.<br>They rely on one model for all tasks.<br>They ignore prompt optimisation.<br>They lack visibility into usage.<br>They do not set budgets or limits.<\/p>\n\n\n\n<p>Avoiding these mistakes is essential for maintaining control over AI usage.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-benefits-of-applying-ai-finops-75\">Benefits of Applying AI FinOps<\/h2>\n\n\n\n<p>When AI FinOps is implemented correctly, the benefits are clear.<\/p>\n\n\n\n<p>Costs become predictable and manageable.<br>AI systems become more efficient.<br>Teams gain better visibility into usage.<br>Decision making improves with clear data.<br>AI can scale without creating financial risk.<\/p>\n\n\n\n<p>These benefits make AI FinOps a critical part of any modern SaaS strategy.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-the-role-of-platforms-in-ai-finops-79\">The Role of Platforms in AI FinOps<\/h2>\n\n\n\n<p>Managing AI usage manually becomes difficult as companies grow.<\/p>\n\n\n\n<p>Teams need a central system that provides visibility, control, and optimisation in one place.<\/p>\n\n\n\n<p>This is where AI FinOps platforms play an important role. They help track usage in real time, manage costs, enforce policies, and optimise performance across multiple models.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-why-wrangleai-is-built-for-ai-finops-83\">Why WrangleAI Is Built for AI FinOps<\/h2>\n\n\n\n<p>As companies scale their AI usage, controlling GPT overuse becomes more complex.<\/p>\n\n\n\n<p><a href=\"https:\/\/wrangleai.com\/\" title=\"WrangleAI provides the tools needed to implement AI FinOps effectively.\"><strong>WrangleAI<\/strong> provides the tools needed to implement AI FinOps effectively.<\/a><\/p>\n\n\n\n<p>It allows teams to track every token, request, and cost in real time, giving full visibility into AI usage. It also enables smart routing, helping teams choose the most cost effective model for each task.<\/p>\n\n\n\n<p>With built in controls such as budgets, limits, and alerts, WrangleAI helps prevent overuse before it becomes a problem. It brings everything into one place, making it easier to manage AI usage across teams and products.<\/p>\n\n\n\n<p>For companies looking to scale AI without losing control, WrangleAI provides a strong foundation for applying AI FinOps in a practical and scalable way.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/wrangleai.com\/demo\/\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"171\" src=\"https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-1024x171.png\" alt=\"CTA\" class=\"wp-image-272\" srcset=\"https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-1024x171.png 1024w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-300x50.png 300w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2-768x128.png 768w, https:\/\/wrangleai.com\/blog\/wp-content\/uploads\/2025\/09\/WrangleAI-CTA-2.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-final-thoughts-89\">Final Thoughts<\/h2>\n\n\n\n<p>GPT models are powerful tools, but without proper control, they can lead to overuse and rising costs.<\/p>\n\n\n\n<p>AI FinOps provides the structure needed to manage this challenge. It ensures that AI is used efficiently, responsibly, and in line with business goals.<\/p>\n\n\n\n<p>The goal is not to limit AI usage. The goal is to use it wisely.<\/p>\n\n\n\n<p>Companies that adopt AI FinOps early will be better prepared to scale, compete, and build sustainable AI driven products.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-faqs-94\">FAQs<\/h2>\n\n\n\n<div data-schema-only=\"false\" class=\"wp-block-aioseo-faq\" id=\"aioseo-what-is-ai-finops-95\"><h3 class=\"aioseo-faq-block-question\">What is AI FinOps?<\/h3><div class=\"aioseo-faq-block-answer\">\n<p>AI FinOps is the practice of managing and optimising AI usage by tracking costs, controlling access, and improving efficiency to ensure AI delivers real business value.<\/p>\n<\/div><\/div>\n\n\n\n<div data-schema-only=\"false\" class=\"wp-block-aioseo-faq\" id=\"aioseo-what-is-ai-finops-95\"><h3 class=\"aioseo-faq-block-question\">Why does GPT overuse happen?<\/h3><div class=\"aioseo-faq-block-answer\">\n<p>GPT overuse happens when teams use advanced models without visibility, control, or optimisation, leading to high costs and inefficient usage.<\/p>\n<\/div><\/div>\n\n\n\n<div data-schema-only=\"false\" class=\"wp-block-aioseo-faq\" id=\"aioseo-what-is-ai-finops-95\"><h3 class=\"aioseo-faq-block-question\">How can AI FinOps prevent GPT overuse?<\/h3><div class=\"aioseo-faq-block-answer\">\n<p>AI FinOps prevents overuse by providing visibility into usage, setting budgets and limits, optimising model selection, and improving prompt efficiency to reduce unnecessary costs.<\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence has changed how modern SaaS companies build products. Tools powered by large language models like GPT are now [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":387,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[4,6],"tags":[],"class_list":["post-440","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-cost-controls","category-ai-performance-optimisation"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/posts\/440","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/comments?post=440"}],"version-history":[{"count":1,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/posts\/440\/revisions"}],"predecessor-version":[{"id":441,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/posts\/440\/revisions\/441"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/media\/387"}],"wp:attachment":[{"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/media?parent=440"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/categories?post=440"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/tags?post=440"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}