{"id":19358,"date":"2025-10-10T18:56:18","date_gmt":"2025-10-10T13:26:18","guid":{"rendered":"https:\/\/www.rlogical.com\/?p=19358"},"modified":"2025-10-28T19:14:07","modified_gmt":"2025-10-28T13:44:07","slug":"ai-agents-vs-agentic-ai-primary-difference-use-cases-future-demand","status":"publish","type":"post","link":"https:\/\/www.rlogical.com\/blog\/ai-agents-vs-agentic-ai-primary-difference-use-cases-future-demand\/","title":{"rendered":"AI Agents vs Agentic AI: Primary Difference, Use Cases &#038; Future Demand"},"content":{"rendered":"<p><b><i>Blog Overview<\/i><\/b><span style=\"font-weight: 400;\">: Agentic AI Vs AI Agents, which one is better or best for your enterprise\u2026 The most anticipated AI kinds are having a great debate among the CTOs. Well, there are major points of difference between AI Agents and Agentic AI. You will have to make the ideal choice. Get along into the blog and explore the insights on AI agents vs agentic AI!<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As the world is moving into <\/span><strong><a href=\"https:\/\/www.rlogical.com\/ai-ml-development-services\/\">AI development<\/a><\/strong><span style=\"font-weight: 400;\">, it\u2019s quite obvious that it has brought some discussion POVs. Businesses have been confused about which not among the diverse AI types. With every passing day, there are more advanced AI solutions coming up, so it has made the comparison between AI agents and Agentic AI. The terms &#8216;AI agents&#8217; and &#8216;agentic AI&#8217; sound similar, which often leads to confusion despite their differences.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These two are the best-in-class AI to upgrade even the existing software. Moreover, for businesses with growth strategies, you have to look out for AI Agents vs Agentic AI guides. Keep reading till the end and get your verdict on the righteous one for you! Beginning with the basics first\u2026<\/span><\/p>\n<h2><b>What is an AI Agent?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">An AI agent is an autonomous system that utilizes artificial intelligence features to perform tasks and accomplish goals. Being the advanced solution, it analyzes the environment, plans accordingly, and implements tasks. AI agents operate within a programmed scope and are designed to perform specific tasks based on pre-set rules, which define their behaviors and capabilities. It is quite a helpful tool for modern-day automated software.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can easily enhance the productivity and efficiency of your enterprise application with AI agents. It encompasses capabilities like reasoning, learning, and monitoring. While AI agents have the ability to perform specific tasks, they cannot independently make strategic decisions. However, it follows the instructions as to when and how to perform tasks, and the rest manages automatically. Traditional AI agents require manual updates to adapt to new scenarios, as they cannot autonomously update or learn new tasks without human intervention. Unlike ChatGPT, it doesn\u2019t thoroughly depend on human inputs.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Traditional AI agents are limited by their programmed scope and are primarily used to perform specific tasks within controlled environments.<\/span><\/p>\n<h2><b>How does an AI Agent work?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The AI agents perform their tasks of planning and execution by connecting to the APIs. It fetched datasets from different API endpoints and filtered out the relevant outcomes based on predefined guidelines. As a result, AI agents deliver the best-suited solution or way to get the task done. Moreover, there are various types of AI agents utilized across different industrial software.\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Simple Reflex Agents<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Model-Based Reflex Agents<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Goal-Based Agents<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Utility-Based Agents\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hierarchical Agents<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Well, next, the big enterprises&#8217; favorite one, or perhaps the top-rated Artificial Intelligence type, Agentic AI.\u00a0<\/span><\/p>\n<h2><b>What is Agentic AI?\u00a0<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The Agentic AI is a wholesome automated system that works independently from the perceiving environment and processing tasks. The term agentic AI refers to a more advanced, autonomous form of artificial intelligence; agentic AI represents systems that can independently make decisions, set goals, and adapt to new situations. It has been a remarkable AI kind, enhancing your business efficacy throughout with minimal human intervention. From planning, coordinating, and adapting to execution, Agentic AI is a robust automation solution. Agentic AI systems are capable of pursuing complex goals, and can set their own goals with minimal human input.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is the best pick to streamline workflow and manage tasks rapidly. Consequently, the system keeps on learning with the datasets and is flexible to adapt and enhance the decision-making. Agentic AI can act independently to handle new situations and make decisions in real time.<\/span><\/p>\n<h2><b>How does Agentic AI work?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Using the Large Language Model (LLM) model, Agentic AI perceives the environment and automatically works according to it. Well, the systems work on the model, which deals with the data parts. Agentic AI systems can also perform data analysis autonomously to inform their actions. Consequently, the system keeps on learning with the datasets and is flexible to adapt and enhance the decision-making. So, Agentic AI is the powerful integration of software and applications to simplify complex tasks. These systems can adapt their responses based on the context or detected changes in the environment, enabling responses based on real-time analysis.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The difference between AI agents vs Agentic AI is taking the first turn. Defining the use cases for each AI type.<\/span><\/p>\n<h2><b>Real World Use Cases of AI Agents<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI agents are increasingly used across various industries to automate and optimize tasks. To enhance their ability to perform complex functions in marketing, virtual assistance, and healthcare, AI agents often leverage a range of tools that enable them to execute tasks more efficiently and autonomously.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Marketing &amp; Sales<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Without a doubt, AI agents have become a significant contributor to digital marketing. By utilizing specialized tools, they create marketing content and sales copy swiftly. However, such content requires human review to ensure that it meets the needs of the intended audience. As a result, it shortens the duration.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Virtual Assistants<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The AI voice assistant offers conversational, vocal chat-like assistance. AI agents are used to manage such responses to the user\u2019s voice commands and transform text-to-speech answers. These agents often rely on tools to process language and manage tasks, making them the major <\/span><strong><a href=\"https:\/\/www.rlogical.com\/blog\/artificial-intelligence-in-customer-services-app-the-tech-age-necessity\/\">AI-powered custom support<\/a><\/strong><span style=\"font-weight: 400;\"> assistant.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Healthcare<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The most important use case for AI agents is managing patients\u2019 treatment plans. By integrating tools for data analysis and patient management, AI agent systems have become a great helping hand for health institutions. Also, it ensures smooth patient data management and improves the diagnosis.<\/span><\/p>\n<p><a href=\"https:\/\/www.rlogical.com\/contact\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-19360\" src=\"https:\/\/www.rlogical.com\/wp-content\/uploads\/2025\/10\/AI-Agent-development-Book-meeting.png\" alt=\"AI Agent development- Book meeting\" width=\"800\" height=\"200\" srcset=\"https:\/\/www.rlogical.com\/wp-content\/uploads\/2025\/10\/AI-Agent-development-Book-meeting.png 800w, https:\/\/www.rlogical.com\/wp-content\/uploads\/2025\/10\/AI-Agent-development-Book-meeting-300x75.png 300w, https:\/\/www.rlogical.com\/wp-content\/uploads\/2025\/10\/AI-Agent-development-Book-meeting-768x192.png 768w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/a><\/p>\n<h2><b>Real World Use Cases of Agentic AI<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Ecommerce<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">First comes the Agentic AI use in e-commerce. It enables product recommendations and 24\/7 chatbots for customers\u2019 queries. This has transformed the retail or online shopping landscape.\u00a0 As a result, it improves end-user personalization and increases conversion rates.\u00a0 Explore the depths of AI in the e-commerce industry and grow your app. Agentic AI can be deployed as a single agent or as part of multi agent systems to coordinate complex operations.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Automotive<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">When you introduce agentic AI development into the automotive industry, it will do wonders for self-driving car systems. It promotes innovation and offers excellent models for a variety of vehicle operations. Cars are capable of making real-time decisions based on autonomous vehicles and driving environments. Generative AI is often used for reactive tasks, while agentic AI enables proactive, real-time decision making in network security and site-wide monitoring.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>FinTech<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">AI models enhance risk analysis, fraud detection, and financial modeling.\u00a0 Thus, Agentic AI enables more effective decision-making in financial transactions and claim management. Agentic AI can be used to secure entire sites and networks by autonomously monitoring and responding to threats.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Next comes the benefits of AI agents and Agentic AI for better understanding.<\/span><\/p>\n<h2><b>Benefits of AI Agent<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Improves Overall Productivity<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">With faster responses to user queries, overall productivity increases smoothly. It uses fast AI models to optimize business processes and improve task delivery. Furthermore, AI agents help your app perform tasks faster and more reliably.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Effective Automation<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">AI agents automate repetitive tasks and minimize the hassle of managing workflow. It has been a robust system to drive reigning AI functionality into your app. So, businesses will get speed and performance aspects simultaneously. Some AI agents can also be equipped with tools to write code, further automating complex business processes.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Data-Driven Analysis<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">For AI agents, the data is the core. It works on machine learning algorithms to process a massive amount of historical data. Accordingly, it trains the model. As a result, it can plan and incorporate the predefined pattern for task completion. AI agents achieve goals in real time after processing, analyzing, and verifying data. Check out the <\/span><strong><a href=\"https:\/\/www.rlogical.com\/case-study\/ai-ml-model-solution-for-online-predictive-ticket-booking-system\/\">AI ticketing cast study<\/a><\/strong><span style=\"font-weight: 400;\"> for real project understanding.<\/span><\/p>\n<h2><b>Benefits of Agentic AI<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Enhanced Decision-Making<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Due to Agentic AI\u2019s advanced algorithms, making quick and accurate decisions has been easier and faster. It learns patterns and eliminates the need for human intervention in routine, repetitive tasks. However, it adapts to the changes and adjusts the decision-making process accordingly. The key features of agentic AI include high autonomy, advanced decision-making, and adaptability, allowing these systems to operate independently and efficiently within their domain.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Structured Workflow<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Agentic AI plays an important role in enterprise operations by incorporating automation into the workflow.\u00a0 It takes control of administrative tasks while avoiding hiccups.\u00a0 Furthermore, your business efficiency is greatly improved in order to meet predetermined goals.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Increased Security<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Agentic AI has trailblazing security features because it excels at advanced AI models.\u00a0 It ensures the encryption of sensitive business data and safeguards against potential threats.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Adhering to Government Rules<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Agentic AI ensures that it follows ethical guidelines for your industry-driven app. It provides transparency and maintains accountability to perform autonomously. Moreover, its models are built in alignment with the government rules.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As every coin has two sides, the AI agents vs agentic AI have a few consideration points. You are covered as well.<\/span><\/p>\n<h2><b>Challenges with AI Agents Development\u00a0<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The primary limitation of AI agents lies in the security matters. It raises ethical concerns like biased algorithms and inaccurate data. So, it may bring sensitive data protection issues.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Integration with existing systems is the most daunting task. Because the AI agents are complex in nature, it demands a fast and adaptable ecosystem.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ensuring the scalability factors in AI agents development leads to technical limitations. Maintaining performance with the increasing workloads is highly risky.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">These challenges have driven the architectural evolution of AI systems, pushing them toward more collaborative and autonomous designs.<\/span><\/p>\n<h2><b>Challenges with Agentic AI Development\u00a0\u00a0<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The lack of emotional intelligence will bring concerns about troublesome decisions. So, it will have adverse effects on the workflow if the development isn\u2019t done with proper validation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Having authentic, validated, and relevant data is the quality one. Agentic AI can get messed up with low-quality data usage.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Overly reliance on AI-based solutions can be problematic, which needs to be addressed at the development stage. You need to <\/span><strong><a href=\"https:\/\/www.rlogical.com\/hire-dedicated-developers\/\">hire an AI expert<\/a><\/strong><span style=\"font-weight: 400;\"> for such concerns.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Developing agentic systems requires careful consideration of data quality, validation, and the balance between automation and human oversight.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Now comes the final showdown of AI agents vs agentic AI with the tabular difference. Let\u2019s get into it.<\/span><\/p>\n<table class=\" table table-bordered\">\n<tbody>\n<tr>\n<td>\n<p style=\"text-align: center;\"><b>Parameters\u00a0 \u00a0\u00a0<\/b><\/p>\n<\/td>\n<td style=\"text-align: center;\"><b>AI Agents<\/b><\/td>\n<td>\n<p style=\"text-align: center;\"><b>Agentic AI<\/b><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Purpose<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Works to manage task-specific elements<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Works to handle complex workflow with multiple AI agents<\/span><\/td>\n<\/tr>\n<tr>\n<td>Autonomy<\/td>\n<td>Limited Autonomous<\/td>\n<td><span style=\"font-weight: 400;\">Entirely Autonomous<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Dependency<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Depends on predefined rules or APIs<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Based on using reasoning and pressing environmental patterns<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Learning<\/span><\/td>\n<td><span style=\"font-weight: 400;\">No continuous learning, relies on instructions<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Continuously learns and adapts patterns<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Nature<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Task-Oriented<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Goal-Oriented<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><b>Emerging Future of Agentic AI and AI Agents\u00a0<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Nowadays, artificial intelligence has evolved from handling basic automation tasks to entire business operations with minimal human intervention. Agentic AI and AI agents are innovations of AI advancement. These represent a shift in AI technology from simple automation to more autonomous and collaborative AI systems. Various industries such as healthcare, finance, and e-commerce are already reaping one of both AI solutions. It will reduce operational costs, faster turnaround times, and increase revenue sources.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your business gets enhanced customer engagement with AI agents and Agentic AI. Moreover, developments are reshaping how businesses approach digital transformation. Debunking the traditional automation, it gives AI consistency with the adaptive reasoning of AI models. There are key differences and a clear distinction between AI agents and agentic AI, especially in their architecture, functionality, and application within modern AI systems. Understanding these differences enables organizations to make more informed decisions about which AI technology to adopt for their specific needs.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Among the agentic AI is the supernova AI development solution with future benefits. It can learn, make decisions, and respond to complex scenarios with greater autonomy. On the other hand, the top-notch learning mechanisms are reducing manual efforts, enabling AI agents. So, it will solve multifaceted problems across domains.<\/span><\/p>\n<h2><b>Stand Out with Rlogical&#8217;s AI Development Services!\u00a0<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The future of AI is no longer limited to simple workflows or chatbot interactions. These two AI types are the best example of sophisticated solutions to accelerate toward a landscape of intelligent and proactive systems. You can get into the talks with our experienced AI ML development team. Rlogical Techsoft has excelled in the AI software solutions with smarter, faster, and more capable strategies customized to each project&#8217;s needs.<\/span><\/p>\n<p><a href=\"https:\/\/www.rlogical.com\/contact\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-19362\" src=\"https:\/\/www.rlogical.com\/wp-content\/uploads\/2025\/10\/Connect-with-Market-leading-AI-Experts.png\" alt=\"Connect with Market-leading AI Experts\" width=\"800\" height=\"200\" srcset=\"https:\/\/www.rlogical.com\/wp-content\/uploads\/2025\/10\/Connect-with-Market-leading-AI-Experts.png 800w, https:\/\/www.rlogical.com\/wp-content\/uploads\/2025\/10\/Connect-with-Market-leading-AI-Experts-300x75.png 300w, https:\/\/www.rlogical.com\/wp-content\/uploads\/2025\/10\/Connect-with-Market-leading-AI-Experts-768x192.png 768w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/a><\/p>\n<h2><b>FAQs<\/b><\/h2>\n<h3><b>How much does AI development cost?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">The AI development cost is not fixed; it completely depends on the type, project size, technologies, and other factors. Still, the price range will be under the startup budget with Rlogical Techsoft. Get a Quote!<\/span><\/p>\n<h3><b>Can I have both agentic AI and AI agent solutions?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Of course, it will be an additional benefit and competitive edge for you to excel in the online marketplace. The difference between AI agents and agentic AI brings better opportunities to expand your business horizons. It will even eliminate the possible loopholes in each other.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Blog Overview: Agentic AI Vs AI Agents, which one is better or best for your enterprise\u2026 The most anticipated AI kinds are having a great debate among the CTOs. Well, there are major points of difference between AI Agents and Agentic AI. You will have to make the ideal choice. Get along into the blog [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":19363,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1438,1386],"tags":[1439,1467,1380,1469,1306,1468,1470],"class_list":["post-19358","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agentic-ai","category-ai-agents","tag-agentic-ai","tag-ai-agents-vs-agentic-ai","tag-ai-agents","tag-ai-cast-study","tag-ai-development-services","tag-ai-powered-custom-support","tag-hire-an-ai-expert"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.rlogical.com\/wp-json\/wp\/v2\/posts\/19358","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rlogical.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.rlogical.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.rlogical.com\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rlogical.com\/wp-json\/wp\/v2\/comments?post=19358"}],"version-history":[{"count":15,"href":"https:\/\/www.rlogical.com\/wp-json\/wp\/v2\/posts\/19358\/revisions"}],"predecessor-version":[{"id":19637,"href":"https:\/\/www.rlogical.com\/wp-json\/wp\/v2\/posts\/19358\/revisions\/19637"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.rlogical.com\/wp-json\/wp\/v2\/media\/19363"}],"wp:attachment":[{"href":"https:\/\/www.rlogical.com\/wp-json\/wp\/v2\/media?parent=19358"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.rlogical.com\/wp-json\/wp\/v2\/categories?post=19358"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.rlogical.com\/wp-json\/wp\/v2\/tags?post=19358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}