{"id":1009,"date":"2026-05-26T04:30:38","date_gmt":"2026-05-26T04:30:38","guid":{"rendered":"https:\/\/mestric.com\/what-is-adaptive-manufacturing-a-guide-for-2026\/"},"modified":"2026-05-26T04:30:38","modified_gmt":"2026-05-26T04:30:38","slug":"what-is-adaptive-manufacturing-a-guide-for-2026","status":"publish","type":"post","link":"https:\/\/mestric.com\/de\/what-is-adaptive-manufacturing-a-guide-for-2026\/","title":{"rendered":"What is adaptive manufacturing: a guide for 2026"},"content":{"rendered":"<\/p>\n<hr>\n<blockquote>\n<p><strong>TL;DR:<\/strong><\/p>\n<ul>\n<li>Adaptive manufacturing continuously learns and self-corrects by using real-time data, AI, and automation, unlike flexible manufacturing that only handles product variations. It reacts instantly to equipment, supply, and environmental changes, enabling higher quality, efficiency, and supply chain resilience through a closed-loop system. Successful adoption requires reorganizing operational models, starting with edge sensing, and gradually integrating autonomous decision-making.<\/li>\n<\/ul>\n<\/blockquote>\n<hr>\n<p>Many manufacturers confuse flexible manufacturing with adaptive manufacturing, and the distinction costs them. Flexible systems let you switch products or batch sizes. Adaptive manufacturing goes further: it uses <a href=\"https:\/\/www.automationworld.com\/factory\/digital-transformation\/article\/55303867\/siemens-ag-why-flexible-manufacturing-isnt-enough-the-case-for-adaptive-production\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">real-time data, AI, and automation<\/a> in a continuous feedback loop to detect deviations, make decisions, and correct processes without human intervention. This guide covers the adaptive manufacturing definition, the technologies behind it, the benefits you can expect, and the practical challenges of adoption. If you are a production manager or operations decision-maker weighing your next investment, this is exactly what you need to read.<\/p>\n<h2 id=\"table-of-contents\">Table of Contents<\/h2>\n<ul>\n<li><a href=\"#key-takeaways\">Key takeaways<\/a><\/li>\n<li><a href=\"#what-is-adaptive-manufacturing-exactly\">What is adaptive manufacturing, exactly?<\/a><\/li>\n<li><a href=\"#core-technologies-that-make-it-work\">Core technologies that make it work<\/a><\/li>\n<li><a href=\"#adaptive-vs-flexible-the-key-differences\">Adaptive vs flexible: the key differences<\/a><\/li>\n<li><a href=\"#benefits-of-adaptive-manufacturing\">Benefits of adaptive manufacturing<\/a><\/li>\n<li><a href=\"#adoption-challenges-to-plan-for\">Adoption challenges to plan for<\/a><\/li>\n<li><a href=\"#the-future-of-adaptive-manufacturing\">The future of adaptive manufacturing<\/a><\/li>\n<li><a href=\"#my-honest-take-on-what-this-actually-requires\">My honest take on what this actually requires<\/a><\/li>\n<li><a href=\"#how-mestric-supports-your-adaptive-manufacturing-goals\">How Mestric supports your adaptive manufacturing goals<\/a><\/li>\n<li><a href=\"#faq\">FAQ<\/a><\/li>\n<\/ul>\n<h2 id=\"key-takeaways\">Key takeaways<\/h2>\n<table>\n<thead>\n<tr>\n<th>Point<\/th>\n<th>Details<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Adaptive vs flexible<\/td>\n<td>Adaptive manufacturing responds to equipment, supply, and quality changes in real time, not just product switches.<\/td>\n<\/tr>\n<tr>\n<td>Core technology stack<\/td>\n<td>AI, edge computing, IoT sensors, and digital twins form the foundation of any adaptive system.<\/td>\n<\/tr>\n<tr>\n<td>Measurable gains<\/td>\n<td>Pilots report up to 96.8% schedule compliance and 16.5% reductions in energy use from adaptive platforms.<\/td>\n<\/tr>\n<tr>\n<td>Phased implementation<\/td>\n<td>Start with edge sensing and anomaly detection before advancing to closed-loop control and autonomous scheduling.<\/td>\n<\/tr>\n<tr>\n<td>Operating model shift<\/td>\n<td>Adaptive manufacturing is a new way of running production decisions, not simply a technology purchase.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"what-is-adaptive-manufacturing-exactly\">What is adaptive manufacturing, exactly?<\/h2>\n<p>The adaptive manufacturing definition centres on one idea: the production system learns and self-corrects. Rather than following a fixed programme, it continuously monitors conditions across the shop floor, identifies deviations from optimal states, and adjusts parameters autonomously.<\/p>\n<p>This is not the same as flexible manufacturing. A flexible system is designed to handle different product variants or batch sizes. It is reconfigurable. Adaptive manufacturing is <em>responsive<\/em>. It reacts to a worn cutting tool, an unexpected spike in ambient temperature, or a late supplier delivery, and it does so in real time without waiting for a human to notice and intervene.<\/p>\n<p>The concept has roots in control engineering but has become practically viable through three converging forces: affordable IoT sensors, sufficient edge computing power, and AI models capable of interpreting noisy industrial data at speed. As <a href=\"https:\/\/www.technologyreview.com\/2025\/05\/07\/1116098\/the-business-of-the-future-is-adaptive\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">MIT Technology Review describes<\/a>, production is shifting from rigid high-volume, low-mix workflows toward high-mix configurations where customisation and smaller batches are the norm. Adaptive systems are what make that shift economically sustainable.<\/p>\n<h2 id=\"core-technologies-that-make-it-work\">Core technologies that make it work<\/h2>\n<p>Understanding how adaptive manufacturing works requires looking at each layer of its architecture. These components do not operate in isolation. They form a closed loop, from sensing to decision to action and back again.<\/p>\n<ul>\n<li><strong>IoT sensors and data acquisition.<\/strong> Sensors on machines, conveyors, and environmental controls capture temperature, vibration, torque, pressure, and dozens of other parameters at high frequency. This is the raw input that feeds everything downstream.<\/li>\n<li><strong>Edge computing.<\/strong> Processing close to the machine matters. A closed feedback loop with edge computing handles real-time functions like visual inspection and anomaly detection with latency measured in milliseconds, not seconds. Sending all data to a central cloud server introduces delays that are unacceptable for real-time correction.<\/li>\n<li><strong>AI and machine learning.<\/strong> AI models analyse incoming data to detect anomalies, predict failures, and recommend or execute parameter adjustments. The <a href=\"https:\/\/mestric.com\/de\/role-of-ai-in-manufacturing\/\" target=\"_blank\" rel=\"noopener\">role of AI in manufacturing<\/a> extends well beyond scheduling: it is the decision engine that makes adaptation possible at machine speed.<\/li>\n<li><strong>Digital twins.<\/strong> A digital twin is a live, continuously updated virtual model of a physical process or asset. <a href=\"https:\/\/www.mdpi.com\/2075-1702\/14\/2\/197\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Digital twins integrated with AI<\/a> enable rapid replanning cycles. One validated platform architecture delivers approximately 47 milliseconds of inference latency with one-minute replanning cycles on edge infrastructure, which is the kind of responsiveness true adaptation demands.<\/li>\n<li><strong>Closed-loop control.<\/strong> Every correction the system makes feeds back into the model. This is what separates adaptive from merely automated. The system gets incrementally better over time because each action updates the parameters it uses for future decisions.<\/li>\n<\/ul>\n<p><strong>Pro Tip:<\/strong> <em>When evaluating adaptive manufacturing technology, ask vendors specifically about latency in their closed-loop architecture. A system that takes minutes to act on a detected deviation is reacting, not adapting.<\/em><\/p>\n<h2 id=\"adaptive-vs-flexible-the-key-differences\">Adaptive vs flexible: the key differences<\/h2>\n<p>The terms are frequently used interchangeably. They should not be. Here is a direct comparison to clarify where each approach fits and where it falls short.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/csuxjmfbwmkxiegfpljm.supabase.co\/storage\/v1\/object\/public\/blog-images\/organization-16618\/1779508587634_Infographic-comparing-adaptive-and-flexible-manufacturing.jpeg\" alt=\"Infographic comparing adaptive and flexible manufacturing\"><\/p>\n<table>\n<thead>\n<tr>\n<th>Feature<\/th>\n<th>Flexible manufacturing<\/th>\n<th>Adaptive manufacturing<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Primary focus<\/td>\n<td>Product switching, batch size variation<\/td>\n<td>Real-time process correction across all variables<\/td>\n<\/tr>\n<tr>\n<td>Response trigger<\/td>\n<td>Pre-programmed changeover<\/td>\n<td>Live data detecting any deviation<\/td>\n<\/tr>\n<tr>\n<td>Decision-making<\/td>\n<td>Human or rule-based<\/td>\n<td>AI-driven, autonomous<\/td>\n<\/tr>\n<tr>\n<td>Scope of responsiveness<\/td>\n<td>Product type and volume<\/td>\n<td>Equipment state, supply, environment, quality<\/td>\n<\/tr>\n<tr>\n<td>Learning capability<\/td>\n<td>Static once configured<\/td>\n<td>Continuously improving<\/td>\n<\/tr>\n<tr>\n<td>Implementation complexity<\/td>\n<td>Moderate<\/td>\n<td>Higher, but modular by design<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Flexible manufacturing was the right answer to mass customisation in the 1990s and 2000s. It solved the problem of product variety. Adaptive manufacturing solves the problem of <em>process uncertainty<\/em>. A flexible line can run ten product variants. But if a spindle bearing degrades mid-shift on that line, a flexible system does not know. An adaptive one detects the vibration signature, adjusts cutting parameters, and flags the bearing for planned maintenance before it causes scrap or unplanned downtime.<\/p>\n<p>For manufacturers moving toward <a href=\"https:\/\/mestric.com\/de\/manufacturing-agility-explained-a-guide-for-industry-leaders\/\" target=\"_blank\" rel=\"noopener\">high-mix production<\/a>, this distinction matters enormously. Higher mix means more changeovers, more variables, and more opportunities for process drift. That is exactly where adaptive systems earn their cost.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/csuxjmfbwmkxiegfpljm.supabase.co\/storage\/v1\/object\/public\/blog-images\/organization-16618\/1779507989235_Engineer-configuring-robotic-manufacturing-equipment.jpeg\" alt=\"Engineer configuring robotic manufacturing equipment\"><\/p>\n<h2 id=\"benefits-of-adaptive-manufacturing\">Benefits of adaptive manufacturing<\/h2>\n<p>The business case for adaptive manufacturing is grounded in measurable outcomes, not theory. An AI-driven adaptive planning platform in a 12-week industrial pilot delivered 96.8% schedule compliance, a 16.5% reduction in specific energy consumption, and a 17.1% reduction in waste. Those are not incremental improvements.<\/p>\n<p>Here are the primary categories of benefit:<\/p>\n<ul>\n<li><strong>Quality and yield improvement.<\/strong> Real-time correction prevents defects from propagating through a batch. A <a href=\"https:\/\/www.mdpi.com\/2227-9717\/13\/5\/1376\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">digital twin and deep-learning framework<\/a> validated for aerospace machining achieved 99.59% defect recognition accuracy. Catching a defect at the machine level rather than at inspection eliminates rework and scrap costs.<\/li>\n<li><strong>Throughput stability.<\/strong> When equipment performance drifts, adaptive systems compensate before it affects cycle time. You maintain planned throughput without operator intervention.<\/li>\n<li><strong>Supply chain resilience.<\/strong> Adaptive scheduling responds to material shortages or late deliveries by automatically replanning the sequence and resource allocation. This is a direct competitive advantage when supply chains remain volatile.<\/li>\n<li><strong>Energy and material efficiency.<\/strong> Optimised process parameters reduce energy waste per unit produced. The sustainability case is increasingly relevant for compliance and cost reporting.<\/li>\n<li><strong>Operational learning.<\/strong> Each production cycle makes the system slightly more accurate. Unlike static automation, adaptive manufacturing compounds in value over time.<\/li>\n<\/ul>\n<h2 id=\"adoption-challenges-to-plan-for\">Adoption challenges to plan for<\/h2>\n<p>Knowing why adaptive manufacturing matters is the straightforward part. Implementing it in a real facility with legacy equipment, mixed protocols, and existing software commitments is where most projects stall. Here is how to approach it sensibly.<\/p>\n<ol>\n<li><strong>Audit your data landscape first.<\/strong> The real barrier to adaptive manufacturing is integrating diverse data sources across domains. Before buying anything, map what data your machines produce, in what formats, and at what frequencies. Identify the gaps.<\/li>\n<li><strong>Start with edge sensing and anomaly detection.<\/strong> Practitioners who succeed typically implement in stages: edge sensing first, then closed-loop control, then autonomous scheduling. Each stage delivers value and funds the next.<\/li>\n<li><strong>Choose architecturally compatible software.<\/strong> Your MES, ERP, and SCADA layers need to be able to exchange data without constant custom integration work. Prioritise open protocols and standardised data models from the outset.<\/li>\n<li><strong>Do not confuse reconfigurability with adaptation.<\/strong> A common operational pitfall is assuming that a flexible manufacturing cell is already adaptive because it handles multiple products. These are different capabilities. Measure whether your system actually changes process parameters in response to real-time conditions.<\/li>\n<li><strong>Build a cross-functional team.<\/strong> Adaptive manufacturing touches controls engineering, IT, quality, and operations simultaneously. Projects managed in silos consistently underperform.<\/li>\n<\/ol>\n<p><strong>Pro Tip:<\/strong> <em>When piloting adaptive capabilities, pick a production line with a well-documented quality problem. The feedback loop will show results faster, which builds internal confidence and justifies the next phase of investment.<\/em><\/p>\n<p>Industrial control hardware from suppliers such as <a href=\"https:\/\/industrialpartsusa.com\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">automation components<\/a> can be integrated into closed-loop feedback architectures, making brownfield upgrades more practical than many teams expect.<\/p>\n<h2 id=\"the-future-of-adaptive-manufacturing\">The future of adaptive manufacturing<\/h2>\n<p>The next phase of adaptive manufacturing technology moves beyond single-facility optimisation toward networked, federated intelligence. Several trends are worth tracking closely.<\/p>\n<ul>\n<li><strong>Industry 5.0 integration.<\/strong> Where Industry 4.0 emphasised connectivity and automation, Industry 5.0 adds human-centric and sustainability priorities. Adaptive systems in this context will be designed to augment human operators rather than replace them, with AI presenting recommendations and humans retaining override authority for complex decisions.<\/li>\n<li><strong>Federated learning and privacy-preserving AI.<\/strong> Sharing model improvements across facilities without sharing raw production data is now technically feasible. This allows a manufacturer running ten plants to benefit from fleet-wide learning while maintaining data governance and regulatory compliance.<\/li>\n<li><strong>Physics-based simulation in the loop.<\/strong> The next generation of digital twins will incorporate real-time physics-based simulation rather than purely statistical models. This improves prediction accuracy in novel conditions where historical data is limited.<\/li>\n<li><strong>AI copilots for production managers.<\/strong> Large language model interfaces layered over MES and adaptive control platforms are already appearing. Production managers will be able to query the system in plain language: \u201cWhy did yield drop on Line 3 between 06:00 and 09:00?\u201d and receive a data-backed answer in seconds.<\/li>\n<li><strong>Edge-cloud hybrid architectures.<\/strong> Latency-sensitive decisions remain at the edge. Strategic planning and model training move to the cloud. The split becomes more deliberate and more automated, with workloads routing themselves based on urgency. Learn more about <a href=\"https:\/\/mestric.com\/de\/how-to-optimise-production-workflow-with-ai-in-2026\/\" target=\"_blank\" rel=\"noopener\">optimising production workflows with AI<\/a> to see how this plays out in practice.<\/li>\n<\/ul>\n<p>As <a href=\"https:\/\/www.technologyreview.com\/2025\/07\/15\/1120083\/shaping-the-future-with-adaptive-production\/\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">MIT Technology Review notes<\/a>, adaptive production represents a paradigm shift toward autonomous, intelligent manufacturing systems, not a feature upgrade on existing equipment.<\/p>\n<h2 id=\"my-honest-take-on-what-this-actually-requires\">My honest take on what this actually requires<\/h2>\n<p>I have seen many manufacturers invest in the technology layer of adaptive manufacturing and then wonder why the results fall short of the pilot. The honest answer is usually the same: the operating model did not change.<\/p>\n<p>Adaptive manufacturing is not a system you install and monitor from a distance. It requires you to rethink how production decisions are made, who has authority to act on them, and how quickly your organisation can respond when the system surfaces an anomaly. In my experience, the companies that get the most from it are the ones that treat adaptive production as a new operating model rather than a technology purchase.<\/p>\n<p>The phased approach is genuinely the right one, but not just for technical reasons. It gives your operations team time to trust the system. A machine that automatically adjusts its own parameters is not something most operators are immediately comfortable with. That comfort comes from seeing correct decisions made consistently over time, and that takes months, not days.<\/p>\n<p>The other thing I would say plainly: do not let perfect be the enemy of useful. You do not need a fully autonomous adaptive system to start capturing value. Even getting anomaly detection and alerting running on your highest-impact line will change how your team operates. Start there, measure it, and build from evidence.<\/p>\n<blockquote>\n<p><em>\u2014 Andra\u017e<\/em><\/p>\n<\/blockquote>\n<h2 id=\"how-mestric-supports-your-adaptive-manufacturing-goals\">How Mestric supports your adaptive manufacturing goals<\/h2>\n<p>If you are ready to move from understanding adaptive manufacturing to acting on it, Mestric gives you the real-time production visibility that makes adaptation possible.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/csuxjmfbwmkxiegfpljm.supabase.co\/storage\/v1\/object\/public\/blog-images\/organization-16618\/1771068359718_mestric.jpg\" alt=\"https:\/\/mestric.com\"><\/p>\n<p>Mestric connects directly with your manufacturing equipment and delivers live KPIs across performance, quality, downtime, and cost, all in a single view. The platform\u2019s AI-powered analytics identify bottlenecks and flag deviations before they affect your output, giving your team the data it needs to close the loop on process quality. Whether you are at the start of your digital transformation or looking to add adaptive capabilities to existing infrastructure, Mestric integrates with your current systems without requiring a full replacement. Explore the <a href=\"https:\/\/mestric.com\/de\/mes-vs-traditional-manufacturing-boost-efficiency-2026\/\" target=\"_blank\" rel=\"noopener\">MES efficiency comparison<\/a> to see how a modern execution system compares to traditional approaches, or browse the <a href=\"https:\/\/mestric.com\/de\/7-types-of-manufacturing-software-every-plant-manager-should-know\/\" target=\"_blank\" rel=\"noopener\">manufacturing software overview<\/a> to understand how the tools fit together. Request a demonstration to see Mestric running on connected equipment in a production environment.<\/p>\n<h2 id=\"faq\">FAQ<\/h2>\n<h3 id=\"what-is-the-adaptive-manufacturing-definition\">What is the adaptive manufacturing definition?<\/h3>\n<p>Adaptive manufacturing is a production approach that uses real-time data, AI, and automation in a continuous closed feedback loop to detect deviations and adjust process parameters autonomously, improving yield, quality, and throughput without manual intervention.<\/p>\n<h3 id=\"how-does-adaptive-manufacturing-differ-from-flexible-manufacturing\">How does adaptive manufacturing differ from flexible manufacturing?<\/h3>\n<p>Flexible manufacturing focuses on switching between product types or batch sizes. Adaptive manufacturing responds in real time to changes in equipment condition, material quality, environmental factors, and demand, making it a broader and more dynamic capability.<\/p>\n<h3 id=\"what-technologies-enable-adaptive-manufacturing\">What technologies enable adaptive manufacturing?<\/h3>\n<p>The core technology stack includes IoT sensors for data capture, edge computing for low-latency processing, AI and machine learning for decision-making, and digital twins for simulation and replanning. Together, these form the closed-loop architecture that makes real-time adaptation possible.<\/p>\n<h3 id=\"what-are-the-main-benefits-of-adaptive-manufacturing\">What are the main benefits of adaptive manufacturing?<\/h3>\n<p>Key benefits include improved yield and quality, greater throughput stability, reduced energy and material waste, and stronger supply chain resilience. One industrial pilot reported 96.8% schedule compliance and a 16.5% reduction in energy consumption using an AI-driven adaptive platform.<\/p>\n<h3 id=\"how-should-manufacturers-start-adopting-adaptive-manufacturing\">How should manufacturers start adopting adaptive manufacturing?<\/h3>\n<p>The recommended approach is staged: begin with edge sensing and anomaly detection on a high-impact production line, then build toward closed-loop control and eventually autonomous scheduling. This limits integration risk and delivers measurable value at each phase.<\/p>\n<h2 id=\"recommended\">Recommended<\/h2>\n<ul>\n<li><a href=\"https:\/\/mestric.com\/de\/top-manufacturing-trends-efficiency-innovation-2026\/\" target=\"_blank\" rel=\"noopener\">Top manufacturing trends shaping efficiency in 2026<\/a><\/li>\n<li><a href=\"https:\/\/mestric.com\/de\/manufacturing-agility-explained-a-guide-for-industry-leaders\/\" target=\"_blank\" rel=\"noopener\">Manufacturing agility explained: a guide for industry leaders<\/a><\/li>\n<li><a href=\"https:\/\/mestric.com\/de\/smart-factory-trends-2026-boost-operational-efficiency\/\" target=\"_blank\" rel=\"noopener\">Smart factory trends 2026: boost operational efficiency<\/a><\/li>\n<li><a href=\"https:\/\/mestric.com\/de\/automate-production-tracking-automotive\/\" target=\"_blank\" rel=\"noopener\">Why Automate Production Tracking in Automotive Plants<\/a><\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Discover what is adaptive manufacturing and how it leverages AI and real-time data to transform production efficiency. Read the guide now!<\/p>","protected":false},"author":1,"featured_media":1011,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1009","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-learn"],"acf":[],"_links":{"self":[{"href":"https:\/\/mestric.com\/de\/wp-json\/wp\/v2\/posts\/1009","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mestric.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mestric.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mestric.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mestric.com\/de\/wp-json\/wp\/v2\/comments?post=1009"}],"version-history":[{"count":1,"href":"https:\/\/mestric.com\/de\/wp-json\/wp\/v2\/posts\/1009\/revisions"}],"predecessor-version":[{"id":1010,"href":"https:\/\/mestric.com\/de\/wp-json\/wp\/v2\/posts\/1009\/revisions\/1010"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mestric.com\/de\/wp-json\/wp\/v2\/media\/1011"}],"wp:attachment":[{"href":"https:\/\/mestric.com\/de\/wp-json\/wp\/v2\/media?parent=1009"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mestric.com\/de\/wp-json\/wp\/v2\/categories?post=1009"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mestric.com\/de\/wp-json\/wp\/v2\/tags?post=1009"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}