{"id":53620,"date":"2025-02-07T17:12:07","date_gmt":"2025-02-07T11:42:07","guid":{"rendered":"https:\/\/www.techjockey.com\/blog\/?p=53620"},"modified":"2025-12-01T16:39:56","modified_gmt":"2025-12-01T11:09:56","slug":"agentic-ai-a-complete-guide","status":"publish","type":"post","link":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide","title":{"rendered":"Agentic AI: The Future of Autonomous Intelligence"},"content":{"rendered":"\n

A clamorous revolution powered by Artificial Intelligence (AI) has been restructuring the way the human world operates for quite a while now. Among its latest developments is agentic AI, an autonomous AI system that, by eliminating the need for human intervention, is taking things one step further.<\/p>\n\n\n\n

As it continues to mature thus and redefine the way we, as humans, interact with technology (or vice versa), we must give the system a comprehensive look. This is so we know how it differs from its traditional counterparts, especially generative AI. Read on as we try and achieve the same in this blog, one key aspect at a time!<\/p>\n\n\n\n

<\/span>What is Agentic AI?<\/span><\/h2>\n\n\n\n

Agentic AI, in simple language, is an AI system that\u2019s capable of making decisions without human interference. Named so after the term agent, these systems are programmed to act just like humans do, no matter the situation. These can learn, adapt, and act based on real-time information received from the environment they are operating in.<\/p>\n\n\n\n

Being goal-oriented, they can change their approach towards something based on the changing circumstances. Their ultimate aim is to meet the end goals, and they have all the autonomy in the world required to revise their strategies accordingly without human oversight. <\/p>\n\n\n\n

This is also what sets them apart from traditional AI systems (case in point \u2013 generative AI) that are more rule-based and restricted in their approach.<\/p>\n\n\n\n

However, agentic AI doesn\u2019t always work alone. Sometimes, it functions as part of a multi-agent system, where multiple autonomous agents collaborate to achieve a goal. Each agent takes care of specific tasks, shares information with others, and adapts together to changes in the environment. This makes handling complex situations much faster and more efficient.<\/p>\n\n\n\n

<\/span>Key Characteristics of Agentic AI<\/span><\/h2>\n\n\n\n

Let\u2019s take an extensive look at all the key characteristics of agentic AI to understand its true potential\u2026<\/p>\n\n\n\n

1. Autonomy<\/strong><\/p>\n\n\n\n

Agentic AI operates independently and requires no human help to make decisions and perform tasks. It is autonomous enough to navigate real-world environments and make actionable judgments based on the information it thus perceives.<\/p>\n\n\n\n

2. Goal-Oriented Behaviour<\/strong><\/p>\n\n\n\n

These AI systems are programmed to pursue specific goals. Suppose any changes are made in the course of action specified to achieve them. In that case, these are capable of altering their strategies to fit the situation without requiring any input from humans.<\/p>\n\n\n\n

For instance, if an autonomous delivery drone is supposed to deliver a package to a specific location, it will do so, come what may. Be it weather-related disturbances or any other obstacles, agentic AI will quickly adapt to them and make appropriate changes in its plans to complete the task successfully.<\/p>\n\n\n\n

3. Adaptability<\/strong><\/p>\n\n\n\n

Agentic AI is devised to be adaptable. It learns from its experiences, both new and old, and adjusts its actions by them. Credit for this in part goes to machine learning, which helps it recognize patterns in data and change its decision-making expertise to match them.<\/p>\n\n\n\n

For instance, an AI-driven car will learn to navigate unfamiliar routes by driving through them, i.e., by gaining knowledge through experience.<\/p>\n\n\n\n

4. Decision-Making & Planning<\/strong><\/p>\n\n\n\n

Agentic AI is capable of assessing different courses of action and choose one that suits its purpose best. This decision-making ability acts as a tool of great significance to handle environs that are susceptible to change, financial markets for one.<\/p>\n\n\n\n

It is capable of multi-step reasoning and planning independently. It breaks larger goals into smaller steps, plans actions over time, and adjusts the plan as conditions change. This makes it highly effective in complex tasks like workflow automation, strategic decision-making, or research analysis.<\/p>\n\n\n\n

5. Proactive Behavior<\/strong><\/p>\n\n\n\n

It\u2019s not like traditional AI that only reacts. Agentic AI shows proactive behaviour. It anticipates needs, predicts challenges, and takes action before being prompted. For example, a personal AI assistant can automatically reschedule meetings if it detects conflicts or travel delays, helping humans stay one step ahead.<\/p>\n\n\n\n

6. Interactivity<\/strong><\/p>\n\n\n\n

These systems cannot operate without meaningful interactions, both with their immediate environments and human operators. This is not to say that they rely on humans to achieve their goals. It implies that they help humans achieve mutual goals, if any.<\/p>\n\n\n\n

For instance, robotic surgeons, in a healthcare setting, not only assist doctors in operating but also in getting real-time insights on its status.<\/p>\n\n\n\n

<\/span>How does Agentic AI Differ from Generative AI?<\/span><\/h2>\n\n\n\n
\"Agentic<\/figure>\n\n\n\n

The difference between agentic AI and generative AI is too profound to not make a note of. For a lot of factors mark off one from the other. Some of them are listed below for your understanding\u2026<\/p>\n\n\n\n

<\/span>1. Purpose & Functionality:<\/span><\/h3>\n\n\n\n

Agentic AI is programmed to make decisions and act on them autonomously. It focuses on interacting with the environment it operates in to perform tasks or solve problems based on real time data. Generative AI, on the contrary, only focuses on creating content, including texts, images, music, etc., based on the prompts received. It does not take any actions on its own.<\/p>\n\n\n\n

The difference between the two, in short, is synonymous to the contrast between managing a supply chain and giving detailed reports on one.<\/p>\n\n\n\n

<\/span>2. Interaction:<\/span><\/h3>\n\n\n\n

Agentic AI engages with the outside world to meet its goals. A self-driving car navigating its way through traffic based on its own judgements can serve as a good example of this.<\/p>\n\n\n\n

On the other hand, generative AI only interacts through content creation. It writes essays or creates artworks based on prompts received from the outside world. That\u2019s all that there is to its interaction with the environment it operates in.<\/p>\n\n\n\n

<\/span>3. Learning:<\/span><\/h3>\n\n\n\n

While agentic AI learns through its experiences in the real world, generative AI uses patterns from datasets to learn and create new content.<\/p>\n\n\n\n

For instance, an agentic AI chatbot answers customer queries, while learning from its interactions with them. A generative AI chatbot, in contrast, provides personalized responses to user queries. It responds by customer preferences.<\/p>\n\n\n\n

<\/span>4. Deployment:<\/span><\/h3>\n\n\n\n

Agentic AI includes autonomous agents such as automated vehicles, personal assistants like Siri, and robots that perform actions. It thus gets deployed in operational environments.<\/p>\n\n\n\n

Generative AI, conversely, includes text generated by GPT-3 or images created by DALL-E. It gets deployed in creative sectors like entertainment, marketing etc., for the same reason.<\/p>\n\n\n\n

Suggested Read: AI Agents vs Agentic AI: The Next Frontier of Intelligent Systems<\/a><\/strong><\/p>\n\n\n\n

<\/span>Benefits of Agentic AI<\/span><\/h2>\n\n\n\n

Agentic AI has a host of benefits to offer in a world that\u2019s slowly and steadily increasing its dependence on machines in every sphere. These include\u2026<\/p>\n\n\n\n

<\/span>1. Efficiency & Productivity<\/span><\/h3>\n\n\n\n

Since these systems are capable of autonomously taking charge of situations, these significantly enhance productivity and efficiency across industries. As machines in control of their operations, these aren\u2019t susceptible to fatigue and get tasks done faster than humans.<\/p>\n\n\n\n

In supply chain management, for instance, agentic AI robots can accelerate the movement of goods, all while monitoring inventory and reporting shortage therein, if predicted any. This not only eliminates the need for human input, but also cuts down on manual efforts, enhancing overall efficiency.<\/p>\n\n\n\n

<\/span>2. Reduced Human Error<\/span><\/h3>\n\n\n\n

Humans are bound to make mistakes. Machines, on the other hand, aren\u2019t prone to errors or biases in judgements. Those powered by agentic AI thus can get things done with accuracy, minimizing human errors<\/p>\n\n\n\n

In the medical sector, for instance, AI systems can help assess medical reports with great precision. They can, in fact, detect complications even before a doctor does.<\/p>\n\n\n\n

<\/span>3. Cost Reduction<\/span><\/h3>\n\n\n\n

Though the initial investment required to install agentic AI systems<\/a> is high, the returns these bring in response make up for it through and through. As these automate a host of tasks in their wake, these significantly lower the labour costs incurred too.<\/p>\n\n\n\n

For example, AI chatbots can handle a slew of customer inquiries at once. This not only helps a business cut down on its human capital needs but also helps human customer care executives direct their focus on more complex issues.<\/p>\n\n\n\n

<\/span>4. Personalization<\/span><\/h3>\n\n\n\n

Agentic AI is capable of offering personalized services to meet individual preferences. In an e-commerce setup, for example, agentic AI helps make product recommendations based on a customer\u2019s browsing history or past purchasing behaviour.<\/p>\n\n\n\n

<\/span>Challenges of Agentic AI<\/span><\/h2>\n\n\n\n

Despite the benefits listed above, a lot can go wrong when it comes to adopting agentic AI. Let\u2019s look at all the possible challenges these systems pose and think of ways to address them while at it\u2026<\/p>\n\n\n\n

1. Ethical & Moral Dilemmas<\/strong><\/p>\n\n\n\n

When it comes to making moral or ethical choices, these AI systems seem to be lagging. For example, when a self-driving car gets faced with a choice between avoiding a pedestrian or risking the safety of the passenger, it is bound to harm someone in the process. This raises questions of accountability. Would we get the car punished in a court of law for the harm caused or hold its manufacturer\/developer responsible?<\/p>\n\n\n\n

If this wasn\u2019t enough, these systems are also prone to biases, of their developers. DeepSeek<\/a>, for instance, has been making headlines around the world for its biased data favouring China. This data is not only capable of causing societal inequalities, but it also brings the moral and ethical considerations of Artificial Intelligence as a whole into question.<\/p>\n\n\n\n

2. Security Concerns<\/strong><\/p>\n\n\n\n

Just like everything else, these AI systems are also prone to cyberattacks. A self-driving car, for instance, might get hacked, leading to dire consequences for the passengers travelling in it.<\/p>\n\n\n\n

This warrants the need for a robust security mechanism that helps these systems evade malware attacks\/threats of any kind.<\/p>\n\n\n\n

3. Job Displacement<\/strong><\/p>\n\n\n\n

While automation significantly enhances operational efficiency on one hand, it leads to a serious loss of job opportunities on the other. For tasks such as driving, data entry, or customer service no longer require human involvement. These can very well be performed by AI systems, leading to unemployment.<\/p>\n\n\n\n

Some regulatory changes in this regard are thus needed, so humans aren\u2019t compelled to take a back seat in a world they helped develop and build.<\/p>\n\n\n\n

4. Complexity & Development Costs<\/strong><\/p>\n\n\n\n

Rome wasn\u2019t built in a day, and so weren\u2019t agentic AI systems. These require heaps of data, computing power, technological know-how, and algorithms to develop and further operate. The resultant complexity and high costs of development can make them irrelevant for SMEs, limiting their reach.<\/p>\n\n\n\n

<\/span>Applications of Agentic AI<\/span><\/h2>\n\n\n\n
\"Applications<\/figure>\n\n\n\n

Agentic AI is being increasingly deployed across a range of industries. Some of its most notable modern-day applications are\u2026<\/p>\n\n\n\n

1. Autonomous Vehicles<\/strong><\/p>\n\n\n\n

The most popular example of agentive AI is self-driving cars. These vehicles can navigate routes, follow traffic rules, and avoid hindrances, all on their own without any sort of human involvement. Automating driving thus, these are revolutionizing the way humans commute and significantly reducing our dependence on fuels.<\/p>\n\n\n\n

2. Healthcare<\/strong><\/p>\n\n\n\n

In the medical sector, Agentic AI is being used for robotic surgeries, health diagnosis, and offering personalized treatment plans. Owing to their precision and analysing powers, these are ruling the sphere, even leaving their human counterparts behind in most regards.<\/p>\n\n\n\n

3. Smart Homes & IoT<\/strong><\/p>\n\n\n\n

Their integration into smart homes and the Internet of Things (IoT) is making it easy for humans to manage their homes. With help from smart assistants like Amazon Alexa and more, humans can get all their household tasks, from handling of devices to grocery shopping, done at the click of a button.<\/p>\n\n\n\n

4. Finance<\/strong><\/p>\n\n\n\n

Agentic AI is primarily used for algorithmic trading, financial advising, and investment planning in the finance sector. For these systems can analyse data and make market predictions at the speed of light.<\/p>\n\n\n\n

5. Customer Service<\/strong><\/p>\n\n\n\n

We all come across AI chatbots and assistants<\/strong> as we browse through the web. These bots are well-equipped to resolve our queries, making customer service and support what it always intended to be \u2013 a 24\/7 service to the customers.<\/p>\n\n\n\n

6. E-Commerce<\/strong><\/p>\n\n\n\n

In e-commerce, the Agentic Commerce Protocol (ACP)<\/a> enables AI agents to act on behalf of customers. It searches for products, compares prices, places orders, and also manages returns. This creates a clean shopping experience where both businesses and buyers collaborate through autonomous agents.<\/p>\n\n\n\n

<\/span>Future of Agentic AI<\/span><\/h2>\n\n\n\n

The future of agentic AI looks quite promising if the sundry challenges it has the potential to pose are taken care of. Some key directions it might then take are as follows\u2026<\/p>\n\n\n\n

    \n
  • Ethical & Legal Frameworks:<\/strong> Since AI is becoming more and more agentic by the day, questions about accountability and ethics are bound to rise in the days to come. Governments will have to come up with rules and regulations to somehow put limits on its autonomy, so nobody gets harmed in the process.<\/li>\n\n\n\n
  • Personal Assistants & Life Management:<\/strong> Personal AI is predicted to manage schedules, make purchase decisions, etc., on our behalf in the times to come. Its ultimate aim would be to reduce human load and enhance their overall productivity.<\/li>\n\n\n\n
  • Collaboration or Unemployment:<\/strong> Agentic AI might either replace humans altogether or collaborate with them to perform tasks across industries in the future. It will accordingly lead to unemployment or newfound partnerships. One certain answer for this lies in the amount of control humans manage to exercise on these systems over time.<\/li>\n\n\n\n
  • Emergent Behaviours:<\/strong> These AI systems might end up developing unpredictable emergent behaviours, raising concerns about safety and transparency. Human designers should thus start keeping a tab on their activities to exercise greater control at all times.<\/li>\n\n\n\n
  • Global Scale Coordination:<\/strong> These systems might also help save the world from global concerns, such as climate change, soon. This, using their well-timed and coordinated efforts.<\/li>\n<\/ul>\n\n\n\n

    Conclusion<\/strong><\/p>\n\n\n\n

    Agentic AI is at the cusp of becoming a technological marvel owing to its exceptional ability to reshape the world and enhance the lives of humans living in it. However, as we move towards a future where it plays a central role, we must build frameworks to govern its development and functioning.<\/p>\n\n\n\n

    Innovation without responsibility and accountability is no less than a monster on the loose. It has the potential to become hazardous for the society it should otherwise serve and completely take over the world. Let\u2019s steer clear of that and let agentic AI unlock its full potential to achieve human goals – \u2018human goals\u2019 being the keyword.<\/p>\n","protected":false},"excerpt":{"rendered":"

    A clamorous revolution powered by Artificial Intelligence (AI) has been restructuring the way the human world operates for quite a while now. Among its latest developments is agentic AI, an autonomous AI system that, by eliminating the need for human intervention, is taking things one step further. As it continues to mature thus and redefine […]<\/p>\n","protected":false},"author":212,"featured_media":53624,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9713,9696,7536],"tags":[],"acf":[],"yoast_head":"\nUnderstanding Agentic AI: The Future of Autonomous Intelligence<\/title>\n<meta name=\"description\" content=\"Know everything about agentic AI, from its key characteristics to applications across sectors, to know what sets it apart from generative AI\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/posts\/53620\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Agentic AI: The Future of Autonomous Intelligence\" \/>\n<meta property=\"og:description\" content=\"Know everything about agentic AI, from its key characteristics to applications across sectors, to know what sets it apart from generative AI\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/posts\/53620\" \/>\n<meta property=\"og:site_name\" content=\"Techjockey.com Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Techjockey\/\" \/>\n<meta property=\"article:published_time\" content=\"2025-02-07T11:42:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-01T11:09:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cdn.techjockey.com\/blog\/wp-content\/uploads\/2025\/02\/07170036\/Feature-Image.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Yashika Aneja\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@TechJockeys\" \/>\n<meta name=\"twitter:site\" content=\"@TechJockeys\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Yashika Aneja\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"11 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Understanding Agentic AI: The Future of Autonomous Intelligence","description":"Know everything about agentic AI, from its key characteristics to applications across sectors, to know what sets it apart from generative AI","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/posts\/53620","og_locale":"en_US","og_type":"article","og_title":"Agentic AI: The Future of Autonomous Intelligence","og_description":"Know everything about agentic AI, from its key characteristics to applications across sectors, to know what sets it apart from generative AI","og_url":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/posts\/53620","og_site_name":"Techjockey.com Blog","article_publisher":"https:\/\/www.facebook.com\/Techjockey\/","article_published_time":"2025-02-07T11:42:07+00:00","article_modified_time":"2025-12-01T11:09:56+00:00","og_image":[{"width":1200,"height":628,"url":"https:\/\/cdn.techjockey.com\/blog\/wp-content\/uploads\/2025\/02\/07170036\/Feature-Image.png","type":"image\/png"}],"author":"Yashika Aneja","twitter_card":"summary_large_image","twitter_creator":"@TechJockeys","twitter_site":"@TechJockeys","twitter_misc":{"Written by":"Yashika Aneja","Est. reading time":"11 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide#article","isPartOf":{"@id":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide"},"author":{"name":"Yashika Aneja","@id":"https:\/\/www.techjockey.com\/blog\/#\/schema\/person\/ca1bd133dee12c2231aee1f84f1155a4"},"headline":"Agentic AI: The Future of Autonomous Intelligence","datePublished":"2025-02-07T11:42:07+00:00","dateModified":"2025-12-01T11:09:56+00:00","mainEntityOfPage":{"@id":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide"},"wordCount":2347,"publisher":{"@id":"https:\/\/www.techjockey.com\/blog\/#organization"},"image":{"@id":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide#primaryimage"},"thumbnailUrl":"https:\/\/cdn.techjockey.com\/blog\/wp-content\/uploads\/2025\/02\/07170036\/Feature-Image.png","articleSection":["Agentic AI Tools","AI Agents","Generative AI Tools"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide","url":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide","name":"Understanding Agentic AI: The Future of Autonomous Intelligence","isPartOf":{"@id":"https:\/\/www.techjockey.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide#primaryimage"},"image":{"@id":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide#primaryimage"},"thumbnailUrl":"https:\/\/cdn.techjockey.com\/blog\/wp-content\/uploads\/2025\/02\/07170036\/Feature-Image.png","datePublished":"2025-02-07T11:42:07+00:00","dateModified":"2025-12-01T11:09:56+00:00","description":"Know everything about agentic AI, from its key characteristics to applications across sectors, to know what sets it apart from generative AI","breadcrumb":{"@id":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide#primaryimage","url":"https:\/\/cdn.techjockey.com\/blog\/wp-content\/uploads\/2025\/02\/07170036\/Feature-Image.png","contentUrl":"https:\/\/cdn.techjockey.com\/blog\/wp-content\/uploads\/2025\/02\/07170036\/Feature-Image.png","width":1200,"height":628,"caption":"Agentic AI"},{"@type":"BreadcrumbList","@id":"https:\/\/www.techjockey.com\/blog\/agentic-ai-a-complete-guide#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.techjockey.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Agentic AI Tools","item":"https:\/\/www.techjockey.com\/blog\/category\/agentic-ai"},{"@type":"ListItem","position":3,"name":"Agentic AI: The Future of Autonomous Intelligence"}]},{"@type":"WebSite","@id":"https:\/\/www.techjockey.com\/blog\/#website","url":"https:\/\/www.techjockey.com\/blog\/","name":"Techjockey.com Blog","description":"","publisher":{"@id":"https:\/\/www.techjockey.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.techjockey.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.techjockey.com\/blog\/#organization","name":"Techjockey Infotech Private Limited","url":"https:\/\/www.techjockey.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.techjockey.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/cdn.techjockey.com\/blog\/wp-content\/uploads\/2019\/12\/logo.png","contentUrl":"https:\/\/cdn.techjockey.com\/blog\/wp-content\/uploads\/2019\/12\/logo.png","width":72,"height":72,"caption":"Techjockey Infotech Private Limited"},"image":{"@id":"https:\/\/www.techjockey.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/Techjockey\/","https:\/\/twitter.com\/TechJockeys","https:\/\/www.linkedin.com\/company\/techjockey","https:\/\/www.youtube.com\/@techjockeydotcom"]},{"@type":"Person","@id":"https:\/\/www.techjockey.com\/blog\/#\/schema\/person\/ca1bd133dee12c2231aee1f84f1155a4","name":"Yashika Aneja","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.techjockey.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/6272a4996cf1180ebfe2b7892148c785?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/6272a4996cf1180ebfe2b7892148c785?s=96&d=mm&r=g","caption":"Yashika Aneja"},"description":"Yashika Aneja is a Senior Content Writer at Techjockey, with over 5 years of experience in content creation and management. From writing about normal everyday affairs to profound fact-based stories on wide-ranging themes, including environment, technology, education, politics, social media, travel, lifestyle so on and so forth, she has, as part of her professional journey so far, shown acute proficiency in almost all sorts of genres\/formats\/styles of writing. With perpetual curiosity and enthusiasm to delve into the new and the uncharted, she is thusly always at the top of her lexical game, one priceless word at a time.","sameAs":["http:\/\/linkedin.com\/in\/yashika-aneja-a47799183"],"birthDate":"1996-04-09","gender":"Female","knowsLanguage":["English","Hindi","Punjabi"],"jobTitle":"Senior Content Writer","worksFor":"Techjockey","url":"https:\/\/www.techjockey.com\/blog\/author\/yashika"}]}},"_links":{"self":[{"href":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/posts\/53620"}],"collection":[{"href":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/users\/212"}],"replies":[{"embeddable":true,"href":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/comments?post=53620"}],"version-history":[{"count":10,"href":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/posts\/53620\/revisions"}],"predecessor-version":[{"id":60871,"href":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/posts\/53620\/revisions\/60871"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/media\/53624"}],"wp:attachment":[{"href":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/media?parent=53620"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/categories?post=53620"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.techjockey.com\/blog\/wp-json\/wp\/v2\/tags?post=53620"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}