{"id":455,"date":"2026-04-24T14:03:23","date_gmt":"2026-04-24T14:03:23","guid":{"rendered":"https:\/\/wrangleai.com\/blog\/?p=455"},"modified":"2026-04-24T14:03:26","modified_gmt":"2026-04-24T14:03:26","slug":"how-to-improve-ai-resilience-with-multi-provider-routing","status":"publish","type":"post","link":"https:\/\/wrangleai.com\/blog\/how-to-improve-ai-resilience-with-multi-provider-routing\/","title":{"rendered":"How to Improve AI Resilience with Multi-Provider Routing"},"content":{"rendered":"\n<p><a href=\"https:\/\/wrangleai.com\/blog\/best-practices-for-ai-cost-allocation-in-software-companies\/\" title=\"Artificial intelligence has become a critical layer in modern SaaS systems.\">Artificial intelligence has become a critical layer in modern SaaS systems.<\/a> It powers customer interactions, automates workflows, and supports decision making at scale. As reliance on AI increases, the expectation from these systems also changes. It is no longer enough for AI to be accurate. It must also be reliable, consistent, and available at all times.<\/p>\n\n\n\n<p>This is where an AI resilience strategy becomes essential.<\/p>\n\n\n\n<p>Many companies focus heavily on model performance but overlook system resilience. They build around a single provider or a single model, assuming it will always be available and perform as expected. In reality, AI systems are dependent on external APIs, cloud infrastructure, and dynamic workloads. Any disruption in these layers can affect performance.<\/p>\n\n\n\n<p>Multi provider routing offers a practical way to solve this problem. It allows companies to distribute AI workloads across different providers, reduce dependency on a single system, and ensure continuity even when issues arise.<\/p>\n\n\n\n<p>This blog explains how multi provider routing improves resilience and how companies can build a strong and scalable AI resilience strategy.<\/p>\n\n\n<div class=\"wp-block-aioseo-table-of-contents\"><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-an-ai-resilience-strategy-6\">What Is an AI Resilience Strategy<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-the-problem-with-single-provider-dependency-15\">The Problem with Single Provider Dependency<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-multi-provider-routing-26\">What Is Multi-Provider Routing<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-how-multi-provider-routing-improves-ai-resilience-35\">How Multi-Provider Routing Improves AI Resilience<\/a><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-reducing-single-points-of-failure-37\">Reducing Single Points of Failure<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-improving-system-availability-42\">Improving System Availability<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-managing-performance-variations-47\">Managing Performance Variations<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-handling-rate-limits-and-traffic-spikes-56\">Handling Rate Limits and Traffic Spikes<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-supporting-cost-optimisation-alongside-resilience-61\">Supporting Cost Optimisation Alongside Resilience<\/a><\/li><\/ul><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-key-components-of-a-multi-provider-routing-system-65\">Key Components of a Multi-Provider Routing System<\/a><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-provider-integration-67\">Provider Integration<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-routing-logic-71\">Routing Logic<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-real-time-monitoring-80\">Real-Time Monitoring<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-failover-mechanism-89\">Failover Mechanism<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-continuous-optimisation-93\">Continuous Optimisation<\/a><\/li><\/ul><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-common-mistakes-to-avoid-97\">Common Mistakes to Avoid<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-benefits-of-a-strong-ai-resilience-strategy-102\">Benefits of a Strong AI Resilience Strategy<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-the-role-of-platforms-in-multi-provider-routing-107\">The Role of Platforms in Multi-Provider Routing<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-why-wrangleai-supports-ai-resilience-at-scale-111\">Why WrangleAI Supports AI Resilience at Scale<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-final-thoughts-118\">Final Thoughts<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-faqs-125\">FAQs<\/a><ul><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-an-ai-resilience-strategy-126\">What is an AI resilience strategy?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-an-ai-resilience-strategy-126\">How does multi provider routing improve resilience?<\/a><\/li><li><a class=\"aioseo-toc-item\" href=\"#aioseo-what-is-an-ai-resilience-strategy-126\">Why is AI resilience important for SaaS companies?<\/a><\/li><\/ul><\/li><\/ul><\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-what-is-an-ai-resilience-strategy-6\">What Is an AI Resilience Strategy<\/h2>\n\n\n\n<p>An AI resilience strategy is a structured approach to ensure that AI systems remain reliable under different conditions. It focuses on maintaining performance, availability, and consistency even when unexpected issues occur.<\/p>\n\n\n\n<p>A resilient AI system should be able to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Handle provider outages without failure<\/li>\n\n\n\n<li>Maintain performance during high demand<\/li>\n\n\n\n<li>Deliver consistent output quality<\/li>\n\n\n\n<li>Recover quickly from disruptions<\/li>\n<\/ul>\n\n\n\n<p>Resilience is not only about avoiding failure. It is about ensuring that the system continues to operate effectively when challenges arise.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-the-problem-with-single-provider-dependency-15\">The Problem with Single Provider Dependency<\/h2>\n\n\n\n<p>Many companies begin their AI journey with a single provider. This approach is simple and easy to manage at the start. However, it introduces a major risk.<\/p>\n\n\n\n<p>Dependency.<\/p>\n\n\n\n<p>When all AI requests are tied to one provider, any issue with that provider affects the entire system. These issues can include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>API downtime<\/li>\n\n\n\n<li>Rate limits during high usage<\/li>\n\n\n\n<li>Increased latency<\/li>\n\n\n\n<li>Unexpected pricing changes<\/li>\n<\/ul>\n\n\n\n<p>Even short disruptions can impact user experience and business operations.<\/p>\n\n\n\n<p>A strong AI resilience strategy requires reducing this dependency.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-what-is-multi-provider-routing-26\">What Is Multi-Provider Routing<\/h2>\n\n\n\n<p>Multi provider routing is the process of distributing AI requests across multiple providers based on availability, performance, and cost.<\/p>\n\n\n\n<p>Instead of relying on one provider, companies integrate multiple AI services and route requests dynamically.<\/p>\n\n\n\n<p>For example:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A request can be sent to Provider A under normal conditions<\/li>\n\n\n\n<li>If Provider A slows down, the system can switch to Provider B<\/li>\n\n\n\n<li>If a specific task performs better on another provider, routing can adjust accordingly<\/li>\n<\/ul>\n\n\n\n<p>This creates a flexible system that adapts in real time.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-how-multi-provider-routing-improves-ai-resilience-35\">How Multi-Provider Routing Improves AI Resilience<\/h2>\n\n\n\n<p>Multi provider routing strengthens AI systems in several important ways.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-reducing-single-points-of-failure-37\">Reducing Single Points of Failure<\/h3>\n\n\n\n<p>One of the main goals of any resilience strategy is to remove single points of failure.<\/p>\n\n\n\n<p>When AI systems depend on one provider, that provider becomes a risk. If it fails, the entire system fails.<\/p>\n\n\n\n<p>Multi provider routing removes this risk by introducing alternatives. If one provider is unavailable, requests can be redirected to another without affecting users.<\/p>\n\n\n\n<p>This ensures continuity and reduces downtime.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-improving-system-availability-42\">Improving System Availability<\/h3>\n\n\n\n<p>High availability is critical for SaaS products.<\/p>\n\n\n\n<p>Users expect AI powered features to work at all times. Even small disruptions can reduce trust.<\/p>\n\n\n\n<p>Multi provider routing ensures that requests are always handled, even during outages or maintenance periods. By distributing workloads, companies can maintain consistent availability.<\/p>\n\n\n\n<p>This is a key part of any effective AI resilience strategy.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-managing-performance-variations-47\">Managing Performance Variations<\/h3>\n\n\n\n<p>AI providers do not always perform the same way.<\/p>\n\n\n\n<p>Performance can vary based on:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Traffic load<\/li>\n\n\n\n<li>Geographic location<\/li>\n\n\n\n<li>Infrastructure conditions<\/li>\n<\/ul>\n\n\n\n<p>Multi provider routing allows companies to monitor performance and route requests to the best performing provider at any given time.<\/p>\n\n\n\n<p>This helps maintain fast response times and improves user experience.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-handling-rate-limits-and-traffic-spikes-56\">Handling Rate Limits and Traffic Spikes<\/h3>\n\n\n\n<p>AI providers often enforce rate limits to manage usage.<\/p>\n\n\n\n<p>During periods of high demand, these limits can restrict access and slow down systems.<\/p>\n\n\n\n<p>Multi provider routing helps distribute traffic across multiple providers. This reduces the pressure on any single provider and ensures that requests continue to be processed.<\/p>\n\n\n\n<p>It also allows companies to scale more effectively during peak usage.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-supporting-cost-optimisation-alongside-resilience-61\">Supporting Cost Optimisation Alongside Resilience<\/h3>\n\n\n\n<p>Resilience and cost efficiency often go together.<\/p>\n\n\n\n<p>Multi provider routing allows companies to choose providers not only based on availability but also on cost. This means that less critical tasks can be routed to more cost effective options, while critical tasks use higher performance providers.<\/p>\n\n\n\n<p>This balance ensures that resilience does not come at the expense of efficiency.<\/p>\n\n\n\n<p><em><strong>Quick link:<\/strong> <a href=\"https:\/\/wrangleai.com\/blog\/how-to-control-ai-spend-in-multi-cloud-environments\/\" title=\"How to Control AI Spend in Multi-Cloud Environments\">How to Control AI Spend in Multi-Cloud Environments<\/a><\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-key-components-of-a-multi-provider-routing-system-65\">Key Components of a Multi-Provider Routing System<\/h2>\n\n\n\n<p>To implement multi provider routing effectively, companies need a structured system.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-provider-integration-67\">Provider Integration<\/h3>\n\n\n\n<p>The first step is to integrate multiple AI providers into the system.<\/p>\n\n\n\n<p>This includes setting up APIs, managing credentials, and ensuring compatibility across providers.<\/p>\n\n\n\n<p>A well integrated system allows smooth switching between providers.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-routing-logic-71\">Routing Logic<\/h3>\n\n\n\n<p>Routing logic defines how decisions are made.<\/p>\n\n\n\n<p>This logic can be based on:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Availability of the provider<\/li>\n\n\n\n<li>Response time<\/li>\n\n\n\n<li>Cost per request<\/li>\n\n\n\n<li>Task complexity<\/li>\n<\/ul>\n\n\n\n<p>The system should be able to evaluate these factors and select the best option for each request.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-real-time-monitoring-80\">Real-Time Monitoring<\/h3>\n\n\n\n<p>Monitoring is essential for effective routing.<\/p>\n\n\n\n<p>Companies need to track:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Provider performance<\/li>\n\n\n\n<li>Response times<\/li>\n\n\n\n<li>Error rates<\/li>\n\n\n\n<li>Cost metrics<\/li>\n<\/ul>\n\n\n\n<p>This data helps the system make informed routing decisions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-failover-mechanism-89\">Failover Mechanism<\/h3>\n\n\n\n<p>A failover mechanism ensures that requests are redirected when a provider fails.<\/p>\n\n\n\n<p>This should happen automatically without manual intervention.<\/p>\n\n\n\n<p>A strong failover system is critical for maintaining uptime.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"aioseo-continuous-optimisation-93\">Continuous Optimisation<\/h3>\n\n\n\n<p>Routing systems should improve over time.<\/p>\n\n\n\n<p>By analysing performance data, companies can refine their routing strategies and improve efficiency.<\/p>\n\n\n\n<p>Continuous optimisation ensures long term resilience.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-common-mistakes-to-avoid-97\">Common Mistakes to Avoid<\/h2>\n\n\n\n<p>While building a multi provider routing system, companies often make mistakes.<\/p>\n\n\n\n<p>Some rely on manual switching instead of automated routing. Others fail to monitor performance, which leads to poor decisions.<\/p>\n\n\n\n<p>Another common issue is overcomplicating the system. Routing should be efficient and easy to manage.<\/p>\n\n\n\n<p>Avoiding these mistakes helps ensure a smooth implementation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-benefits-of-a-strong-ai-resilience-strategy-102\">Benefits of a Strong AI Resilience Strategy<\/h2>\n\n\n\n<p>When multi provider routing is implemented correctly, companies see clear benefits.<\/p>\n\n\n\n<p>Systems become more reliable and less prone to failure. Downtime is reduced, and user experience improves.<\/p>\n\n\n\n<p>Teams gain better control over performance and can scale with confidence. Costs become more predictable as routing helps optimise usage.<\/p>\n\n\n\n<p>Most importantly, companies build trust with their users by delivering consistent and reliable AI services.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-the-role-of-platforms-in-multi-provider-routing-107\">The Role of Platforms in Multi-Provider Routing<\/h2>\n\n\n\n<p>Managing multiple providers manually is complex.<\/p>\n\n\n\n<p>Companies need a platform that can handle routing, monitoring, and optimisation in one place. Such platforms provide a central layer that connects different AI providers and manages requests intelligently.<\/p>\n\n\n\n<p>This simplifies operations and ensures that routing decisions are made efficiently.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-why-wrangleai-supports-ai-resilience-at-scale-111\">Why WrangleAI Supports AI Resilience at Scale<\/h2>\n\n\n\n<p>As AI systems grow, maintaining resilience becomes more challenging.<\/p>\n\n\n\n<p><a href=\"https:\/\/wrangleai.com\/\" title=\"\">WrangleAI is designed to help companies build and maintain a strong AI resilience strategy.<\/a><\/p>\n\n\n\n<p>It enables teams to route requests across multiple providers automatically based on performance, cost, and availability. This ensures that systems remain stable even during disruptions.<\/p>\n\n\n\n<p><a href=\"https:\/\/wrangleai.com\/track\/\" title=\"WrangleAI also provides real time visibility into usage, performance, and costs. \">WrangleAI also provides real time visibility into usage, performance, and costs. <\/a>This allows teams to monitor their systems and make informed decisions.<\/p>\n\n\n\n<p>With built in controls such as failover, routing logic, and monitoring, WrangleAI simplifies the process of managing multi provider environments.<\/p>\n\n\n\n<p>For companies looking to improve resilience without adding complexity, WrangleAI provides a practical and scalable solution.<\/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-118\">Final Thoughts<\/h2>\n\n\n\n<p>AI systems are becoming more important to business operations, but they also introduce new risks.<\/p>\n\n\n\n<p>Relying on a single provider is no longer a sustainable approach. Companies need systems that can adapt, recover, and perform under different conditions.<\/p>\n\n\n\n<p>Multi provider routing offers a clear path to achieving this.<\/p>\n\n\n\n<p>By distributing workloads, improving availability, and reducing dependency, companies can build a strong <strong>AI resilience strategy<\/strong> that supports long term growth.<\/p>\n\n\n\n<p>The goal is not just to build powerful AI systems.<\/p>\n\n\n\n<p>The goal is to build systems that continue to work when it matters most.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"aioseo-faqs-125\">FAQs<\/h2>\n\n\n\n<div data-schema-only=\"false\" class=\"wp-block-aioseo-faq\" id=\"aioseo-what-is-an-ai-resilience-strategy-126\"><h3 class=\"aioseo-faq-block-question\">What is an AI resilience strategy?<\/h3><div class=\"aioseo-faq-block-answer\">\n<p>An AI resilience strategy is a structured approach to ensure AI systems remain reliable, available, and consistent under different conditions.<\/p>\n<\/div><\/div>\n\n\n\n<div data-schema-only=\"false\" class=\"wp-block-aioseo-faq\" id=\"aioseo-what-is-an-ai-resilience-strategy-126\"><h3 class=\"aioseo-faq-block-question\">How does multi provider routing improve resilience?<\/h3><div class=\"aioseo-faq-block-answer\">\n<p>It improves resilience by distributing requests across multiple providers, reducing dependency on a single system, and ensuring continuity during failures.<\/p>\n<\/div><\/div>\n\n\n\n<div data-schema-only=\"false\" class=\"wp-block-aioseo-faq\" id=\"aioseo-what-is-an-ai-resilience-strategy-126\"><h3 class=\"aioseo-faq-block-question\">Why is AI resilience important for SaaS companies?<\/h3><div class=\"aioseo-faq-block-answer\">\n<p>AI resilience is important because it ensures consistent performance, reduces downtime, and maintains user trust in AI powered features.<\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence has become a critical layer in modern SaaS systems. It powers customer interactions, automates workflows, and supports decision [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":202,"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":[6],"tags":[],"class_list":["post-455","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-performance-optimisation"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/posts\/455","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=455"}],"version-history":[{"count":1,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/posts\/455\/revisions"}],"predecessor-version":[{"id":456,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/posts\/455\/revisions\/456"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/media\/202"}],"wp:attachment":[{"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/media?parent=455"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/categories?post=455"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wrangleai.com\/blog\/wp-json\/wp\/v2\/tags?post=455"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}