Qyrus

@Krishnasagrawal This is a really helpful, detailed, and easy to follow visual! Saving this for later and sharing with some friends! Thanks

What is an AI agent 📚📘 Save it for later ✅️ Don't forget to check out 👉 captions.ai/features/text-… #ai #agents

@techNmak Fantastic and detailed guide. Thanks for posting this!

Bookmark this. You'll need it when your AI project grows past one file. config/ → YAML configs, prompt templates, logging src/llm/ → Separate clients for Claude, GPT, etc. src/prompt_engineering/ → Templates, few-shot, chaining src/utils/ → Cache, rate limiting, token counting data/ → Prompts, cache, outputs, embeddings examples/ → basic_completion.py, chat_session.py notebooks/ → Testing, analysis, experimentation Modular. Scalable. Maintainable.

Software development has officially hit hyperdrive. With tools like GitHub Copilot and Devin, AI is now writing 20-40% 𝐨𝐟 𝐭𝐡𝐞 𝐜𝐨𝐝𝐞 at tech giants. Engineering teams are moving faster than ever, but it’s created a massive problem: 𝐐𝐀 𝐢𝐬 𝐬𝐭𝐮𝐜𝐤 𝐢𝐧 𝐭𝐡𝐞 𝐬𝐥𝐨𝐰 𝐥𝐚𝐧𝐞. While developers are rocket-fueling their output, traditional testing is still bogged down by brittle scripts and manual checks. This isn't just a "delay"—it’s a dangerous level of test debt that can derail your entire innovation engine. 𝐓𝐡𝐞 𝐑𝐞𝐚𝐥𝐢𝐭𝐲 𝐂𝐡𝐞𝐜𝐤: ➖ 𝐓𝐡𝐞 𝐁𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤: 35% of companies say manual testing is their #1 time-sink.  ➖𝐓𝐡𝐞 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 𝐓𝐫𝐚𝐩: Engineers spend up to 50% of their time just fixing broken automation scripts.  ➖𝐓𝐡𝐞 𝐒𝐤𝐢𝐥𝐥𝐬 𝐆𝐚𝐩: 82% of QA pros know AI is the future, yet 42% feel they don't have the skills to implement it yet. 𝐓𝐡𝐞 𝐚𝐧𝐬𝐰𝐞𝐫 𝐢𝐬𝐧'𝐭 𝐭𝐨 𝐡𝐢𝐫𝐞 𝐦𝐨𝐫𝐞 𝐩𝐞𝐨𝐩𝐥𝐞 𝐨𝐫 "𝐭𝐞𝐬𝐭 𝐡𝐚𝐫𝐝𝐞𝐫." 𝐈𝐭’𝐬 𝐭𝐨 𝐭𝐞𝐬𝐭 𝐬𝐦𝐚𝐫𝐭𝐞𝐫. That’s why we built 𝐐𝐲𝐫𝐮𝐬 𝐒𝐄𝐄𝐑. Think of SEER as the conductor of your entire testing orchestra. It’s an intelligent, autonomous framework that uses 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 to close the gap between dev speed and quality. 𝐇𝐨𝐰 𝐢𝐭 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐭𝐡𝐞 𝐠𝐚𝐦𝐞: SEER follows a proactive 𝐒𝐞𝐧𝐬𝐞 → 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐞 → 𝐄𝐱𝐞𝐜𝐮𝐭𝐞 → 𝐑𝐞𝐩𝐨𝐫𝐭 cycle. It watches your GitHub and Figma in real-time, predicts the "blast radius" of any change, and launches precision strikes using AI agents. No more running thousands of redundant tests.  𝐓𝐡𝐞 𝐒𝐄𝐄𝐑 𝐏𝐚𝐲𝐨𝐟𝐟: ✅ 𝐂𝐮𝐭𝐬 𝐬𝐜𝐫𝐢𝐩𝐭 𝐦𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 𝐛𝐲 65-70% (get your engineers' time back)   ✅ 𝐁𝐨𝐨𝐬𝐭𝐬 𝐜𝐨𝐯𝐞𝐫𝐚𝐠𝐞 𝐛𝐲 𝐮𝐩 𝐭𝐨 85% with AI-generated cases   ✅ 𝐒𝐩𝐞𝐞𝐝𝐬 𝐮𝐩 𝐭𝐞𝐬𝐭𝐢𝐧𝐠 𝐜𝐲𝐜𝐥𝐞𝐬 𝐛𝐲 50-70%  ✅ 𝐈𝐧𝐜𝐫𝐞𝐚𝐬𝐞𝐬 𝐝𝐞𝐟𝐞𝐜𝐭 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐛𝐲 25-30%  By 2027, 80% of enterprises will be using AI-augmented testing. The question is: do you want to lead that shift or be the bottleneck that holds your company back?  Stop running on the QA treadmill. It’s time to move as fast as your code.  👇 𝐆𝐞𝐭 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐬𝐭𝐨𝐫𝐲 𝐨𝐧 𝐡𝐨𝐰 𝐰𝐞’𝐫𝐞 𝐭𝐚𝐦𝐢𝐧𝐠 𝐭𝐡𝐞 𝐂𝐈/𝐂𝐃 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞: qyrus.com/post/how-agent… #QA #SoftwareTesting #GenerativeAI #DevOps #CICD #QyrusSEER

Introducing 𝐄𝐩𝐢𝐬𝐨𝐝𝐞 𝟖 of our 𝐁𝐞𝐡𝐢𝐧𝐝 𝐓𝐡𝐞 𝐐 series. Meet Lowell Abraham, the force behind Demand Generation at Qyrus and a key driver of how we connect, engage, and grow. Lowell’s journey is built on one simple principle: building trust at every step. Over the years, he has played a pivotal role in shaping how Qyrus creates awareness, drives pipeline, and turns conversations into meaningful opportunities. With over 20 years of experience across sales, marketing, and business development, Lowell brings a sharp understanding of what it takes to build scalable demand engines. From running multi-channel campaigns to leading high-performing teams, he focuses on strategies that deliver real impact. At Qyrus, Lowell is helping redefine how demand generation fuels growth, not just by generating leads, but by creating lasting connections with the right audience. This is 𝐋𝐨𝐰𝐞𝐥𝐥.  This is 𝐁𝐞𝐡𝐢𝐧𝐝 𝐓𝐡𝐞 𝐐.  This is 𝐐𝐲𝐫𝐮𝐬. 👉 Drop a 👋 in the comments to celebrate Lowell and stay tuned for more stories from the people driving growth at Qyrus. #BehindTheQ #LifeAtQyrus #Qyrus #DemandGeneration #GrowthMarketing #B2BMarketing #TeamQyrus

Software quality isn't just a technical metric anymore. It’s a $2.41 trillion tax on the economy. For most teams, that looks like developers spending half their time fixing bugs instead of building the next big thing. Testing has traditionally been viewed as a cost center; a necessary bottleneck that slows down releases. But it doesn’t have to be that way. We’ve put together a new whitepaper that shifts the narrative. It’s a deep dive into how Qyrus Test Orchestration turns quality into a value driver, helping teams validate complex journeys across Web, Mobile, and API in one unified flow. The numbers from the Forrester Total Economic Impact™ study speak for themselves: • A documented 213% ROI • Full payback in less than six months • Over $550k saved by avoiding production downtime Whether you’re looking to hit 90% automation levels or just want to stop the "asset chaos" of fragmented tools, this guide covers the technical roadmap to get there. Check out the carousel for a preview of the orchestration toolkit, then grab the full whitepaper at the link below. Download the whitepaper here: qyrus.com/post/test-orch… #SoftwareTesting #QA #TestAutomation #DevOps #DigitalTransformation #Qyrus

The shift from traditional automation to 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 is quickly becoming one of the most important conversations in modern QA and DevOps. And for teams running complex SAP environments, this shift is even more critical. If you’re heading to 𝐒𝐓𝐀𝐑𝐄𝐀𝐒𝐓, make sure to catch our session with Ravi Sundaram and @RaoulKumar from Qyrus as they take the stage. They’ll be diving into how context engineering is redefining the way AI generates and executes tests, especially across enterprise systems like SAP—moving beyond generic outputs to highly relevant, business-aware testing strategies. 𝐇𝐞𝐫𝐞’𝐬 𝐭𝐡𝐞 “𝐖𝐡𝐲” Most AI-generated tests today lack the depth needed for complex enterprise systems like SAP. The missing piece isn’t more automation; it’s better context. In this session, Ravi and Raoul will explore how Qyrus is leveraging context engineering to: ☑️ Turn existing test assets into intelligent memory for AI ☑️ Generate high-impact test cases tailored to your business logic ☑️ Reduce noise from irrelevant or low-value test scenarios 𝐖𝐡𝐞𝐫𝐞 𝐭𝐨 𝐟𝐢𝐧𝐝 𝐮𝐬: Topic: 𝐓𝐡𝐞 𝐌𝐞𝐦𝐨𝐫𝐲 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞: 𝐔𝐧𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐇𝐢𝐠𝐡-𝐈𝐦𝐩𝐚𝐜𝐭 𝐓𝐞𝐬𝐭 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐀𝐈 Date: 𝐓𝐡𝐮𝐫𝐬𝐝𝐚𝐲, 𝐀𝐩𝐫𝐢𝐥 30𝐭𝐡 Time: 11:15 𝐀𝐌 𝐄𝐓 Venue: 𝐒𝐚𝐥𝐨𝐧 5 If you’re exploring how AI can move from generic automation to truly intelligent testing, especially in SAP-driven environments—this is one you’ll want to attend. Come say hi and let’s talk about how context-driven testing can fit into your QA strategy. 👋 #StarEast2026 #ContextEngineering #AIinTesting #SoftwareTesting #DevOps #QualityEngineering

𝐓𝐡𝐞 $2 𝐭𝐫𝐢𝐥𝐥𝐢𝐨𝐧 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐧𝐨 𝐨𝐧𝐞 𝐰𝐚𝐧𝐭𝐬 𝐭𝐨 𝐭𝐚𝐥𝐤 𝐚𝐛𝐨𝐮𝐭. Every year, poor software quality drains trillions from the U.S. economy. But for engineering teams, the cost isn't just financial. It’s the late nights spent fixing broken scripts, the release cycles that crawl to a halt, and the "maintenance hell" that keeps you from actually building anything new. We’ve reached a breaking point where traditional testing just can’t keep up with the speed of modern code. 𝐓𝐡𝐚𝐭’𝐬 𝐰𝐡𝐲 𝐰𝐞’𝐫𝐞 𝐦𝐨𝐯𝐢𝐧𝐠 𝐛𝐞𝐲𝐨𝐧𝐝 𝐭𝐡𝐞 𝐬𝐜𝐫𝐢𝐩𝐭. At Qyrus, we’re not just making testing faster. We’re making it more intelligent. By using Generative AI, we’ve shifted the focus from writing manual instructions to defining pure intent. Imagine creating comprehensive test suites from a Jira ticket or a Figma design using nothing but plain English. With AI agents that explore, adapt, and self-heal across Web, Mobile, API, Desktop, and SAP ecosystems, the accumulated "test debt" finally starts to disappear. This isn't just an incremental update. It’s a total shift in the role of QA. You’re no longer just the person running the tests; you’re the architect of a continuous, autonomous quality system. The industry is moving toward $4.4 trillion in AI-driven value. The only real question is how quickly your team can get there. Stop maintaining. Start innovating. 👉 See how the Qyrus AI Verse is redefining the future of quality engineering. qyrus.com/post/generativ… #SoftwareQuality #GenerativeAI #QualityEngineering #DevOps #Qyrus #TestAutomation

@Krishnasagrawal Thanks for this! Really clean visual and the explanations are simple enough to understand

6 AI agent terms you need to know in 2026: (Most developers still confuse #1 and #2) 𝟭. 𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 (𝗠𝗖𝗣) Think of it as "USB-C for AI" - a universal standard that lets AI applications connect to external data sources and tools. Instead of building custom integrations for every tool, MCP provides one protocol that works everywhere. 𝟮. 𝗦𝗸𝗶𝗹𝗹𝘀 Basically, the agent’s job description. While MCP provides the connection and Tools provide the API, a Skill is the higher-level logic that orchestrates them. It encapsulates the domain-specific reasoning needed to turn a raw tool into a finished outcome. 𝟯. 𝗦𝗶𝗻𝗴𝗹𝗲 𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 One agent handles the entire pipeline - from understanding the task to planning steps, using tools, and generating responses. It's the simplest form of agentic system where one LLM orchestrates everything. 𝟰. 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 Multiple specialized agents work together, each handling different parts of a task. One might retrieve information, another validates it, and a third generates the final response. This creates more robust and capable systems. 𝟱. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗥𝗔𝗚 An AI agent-based implementation of RAG that goes beyond simple retrieval. The agent can route queries to specialized knowledge sources, validate retrieved context, and make dynamic decisions about what information to use. 𝟲. 𝗔𝗴𝗲𝗻𝘁 𝗠𝗲𝗺𝗼𝗿𝘆 Agents use two types of memory: • Short-term: Stored in the context window for immediate use • Long-term: Retrieved on demand from external storage (like vector databases) This memory layer helps agents maintain context across interactions and learn from past experiences. Cc : Author ✅️

@akhilesh9235 This is cool to see! Are there other tools you use or would suggest to use in tandem with Claude to get the most out of your website building experience?

Most people think building a website takes weeks… It doesn’t. You can build one in 10 minutes using Claude Code — if you do this right 👇 ➡️ Don’t start with design Start with what the site should DO ➡️ Write a clear brief Goal + audience + features = everything ➡️ Give reference sites AI needs direction, not guesses ➡️ Let Claude plan first Structure > random building ➡️ Review before build Fix thinking early, not later ➡️ Then let it build + deploy Done. 💡 The secret? The better your brief → the better your website. Most people fail not because of AI… But because of unclear thinking. ❤️ Like 🔁 Retweet 🔖 Bookmark Follow @akhilesh9235 for more such posts #AI #JobSearch #CareerGrowth #LinkedInTips #AItools DISCLAIMER- Image rights belong to the owner. Got it from an open source to download.

Building a world-class test automation platform like Qyrus takes precision and deep technical expertise. It also takes a team that knows exactly how to handle a high-stakes group lunch order. The energy in this office is what fuels the innovation we deliver to our partners every day. Whether we are simplifying complex API testing or debating the perfect pizza-to-person ratio, we do it together. A team that collaborates this well over a menu is the same team that is going to obsess over your software quality. Happy Friday from the Qyrus crew! 🍕💻 #Qyrus #TeamCulture #WorkLife #TestAutomation #DevOps #FridayFeeling #CompanyCulture

Most teams think they’re building reliable systems. Very few are building resilient ones. And that gap only shows up when things break. A payment fails mid-transaction. An API slows down during peak traffic. Everything looks fine in testing until real-world chaos hits. That’s where QA comes in. Not just to validate what works…but to uncover what survives. In this clip, @RaoulKumar breaks down why resilience isn’t a nice-to-have anymore and why QA is the only function positioned to truly own it. Because real quality is not measured in perfect conditions. It is proven in chaos. If you’re rethinking how your team approaches quality and want to build systems that hold up when it matters most, start here: qyrus.com/contact-us/?ut… #SoftwareTesting #QualityEngineering #Resilience #QA #DigitalTransformation

@goyalshaliniuk This is awesome! It's always great to see a detailed explanation paired with an easy to digest visual.

Curious how modern applications scale and stay resilient? This visual breaks down the core building blocks of a Microservices Architecture, where every piece of the system is modular, scalable, and independently deployable. Let’s walk through the flow: 🔹 Client Layer: Web, mobile, or desktop apps initiate user requests. 🔹 CDN + Static Content: Delivers static assets like HTML, CSS, and JS faster by caching them closer to users. 🔹 Load Balancer: Spreads traffic evenly across multiple instances to ensure availability and prevent overloads. 🔹 API Gateway: Acts as the central entry point - handling routing, authentication, and rate-limiting for client requests. 🔹 Identity Provider: Authenticates users and issues secure tokens (like OAuth or JWT) to control access. 🔹 Microservices: Independent services, each handling a distinct business function, organized by domain. They can be built, scaled, and deployed independently. 🔹 Service Registry & Discovery: Keeps track of microservices and their network locations so they can communicate with each other seamlessly. 🔹 Service Coordination: Maintains sync between services and manages distributed configurations (tools like Zookeeper). 🔹 Message Broker: Ensures async communication between services using queues like Kafka or RabbitMQ - ideal for decoupling workflows. 🔹 Databases: Each domain or service uses its own database, ensuring data isolation and system resilience. 📌 Why It Matters: Microservices power some of the world’s most scalable systems - from Netflix to Amazon. They enable rapid deployment, fault isolation, and flexible team ownership. Microservices Architecture – Explained Visually! What would you add to this?

Next stop: Orlando! ✈️ The world of QA is moving way beyond just "automating" tasks. It’s getting smarter, more contextual, and actually understands how your systems work under the hood. At Qyrus, we call this Context Engineering. That’s exactly what we’re showcasing at #StarEast2026. We’re moving past basic prompts and rigid scripts. We’ll be showing how testing agents become a lot more capable when you give them memory, domain knowledge, and real system context. It’s about building intelligence that actually gets better every time you run a test. If you’re heading to the conference, swing by 𝐁𝐨𝐨𝐭𝐡 #42. We’d love to show you how we’re redefining QA with context-driven, AI-powered testing. 📍 𝐎𝐫𝐥𝐚𝐧𝐝𝐨, 𝐅𝐋 📅 𝐀𝐩𝐫𝐢𝐥 29–30 Can’t wait until then? Check out this post for a deeper look at where we’re taking QA: qyrus.com/joining-qualit… See you there! 👋 #StarEast #AIinQA #ContextEngineering #SoftwareTesting #QualityEngineering #Qyrus

5% of developers are using AI to write code. 41% of production code is already AI-generated. On the surface, everything looks faster. Smarter. More efficient. But there’s one number most teams are overlooking. 𝐙𝐞𝐫𝐨. Zero tests generated alongside that AI-written code. So while development moves at machine speed, testing is still operating at human speed. And that gap is where quality starts to slip. This clip from our latest webinar unpacks the “zero tests” problem and why it’s becoming one of the biggest risks in modern software delivery. 👉 Want the full picture? Dive into the complete breakdown here: qyrus.com/post/the-hybri… #AI #SoftwareTesting #QA #DevOps #EnterpriseTech #Qyrus

𝐒𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠’𝐬 𝐛𝐫𝐞𝐰𝐢𝐧𝐠 𝐚𝐭 Qyrus. 𝐀𝐧𝐝 𝐭𝐡𝐢𝐬 𝐭𝐢𝐦𝐞, 𝐢𝐭’𝐬 𝐨𝐟𝐟-𝐬𝐜𝐫𝐢𝐩𝐭. The QA world moves too fast for a teleprompter to keep up. We’ve all seen the polished decks and the rehearsed pitches, but the real breakthroughs happen in the moments between the slides. So, we did something different. We brought the two of our leaders, @RaoulKumar and Ameet Deshpande together, and handed them a script. 𝐓𝐡𝐞𝐲 𝐭𝐡𝐫𝐞𝐰 𝐢𝐭 𝐚𝐰𝐚𝐲. No rehearsals. No corporate filters. Just real conversations about the trends and the shifts that actually make this industry tick. We're moving past the "marketing" to build a space for the conversations this community actually needs to have. What happens when you stop following the script? You’ll want to see this. 👉 𝐐𝐲𝐫𝐮𝐬 𝐔𝐧𝐬𝐜𝐫𝐢𝐩𝐭𝐞𝐝. Coming soon. Stay tuned. #Podcast #Qyrus #QyrusUnscripted #TestAutomation #QualityAssurance #TestingCommunity #ComingSoon #QA

That’s a wrap on an incredible Qyrus Solution Spotlight Demo at QonfX BLR 2026! 🎤 The room was buzzing as Ameet Deshpande, our SVP of Product Engineering, took the stage to challenge the conventional wisdom of testing. The core takeaway? Structural Validation != QA. ❌✅ Ameet shared how checking for "correctness" in code structure is no longer enough for the complexities of modern enterprise engineering. The highlight of the session was diving into Qyrus’ Agentic AI capabilities. 🤖 We showed how autonomous AI agents are moving beyond simple automation—reasoning through tasks, adapting to changes, and ensuring true quality at scale. Thank you to everyone who joined the session and engaged in such a thought-provoking Q&A! Missed the demo? No worries! Reach out to us and we are ready to dive deeper into how Agentic AI can transform your delivery pipeline. #QonfX #TheTestTribe #AgenticAI #SoftwareTesting #Qyrus #AIinTesting #QualityAssurance #BangaloreTech #TestingCommunity #Innovation

The energy at Radisson Blu, Outer Ring Road, Bangalore, is absolutely electric! ⚡ QonfX BLR 2026, organized by @the_test_tribe, is officially underway, and the Qyrus team is on the ground and ready to go. If you’re currently navigating the QA complexities of modern enterprise engineering and automated delivery, come find us. As a Platinum Sponsor, we aren’t just talking about the future of testing; we’re showing you how to build it. 🏗️ 🚀 Don’t miss the Qyrus Solution Spotlight Demo: 🕜 Time: 12:30 PM IST 💡 Topic: "Structural Validation != QA" Ready to see how we’re redefining the standard? Visit the Qyrus Booth to chat with our experts, Ameet Deshpande, Suraj Rajan Menon, Shivani Sinha, Anamika Ojha, Venkata Satya Prasad Sajja, and Shreyas G, to see the platform in action. See you there! #QonfX #TheTestTribe #Qyrus #SoftwareTesting #QA #TestAutomation #EnterpriseEngineering #RadissonBlu #BangaloreTech

Tomorrow’s the day. QonfX Bangalore is almost here, and the Qyrus team is ready. As a Platinum Sponsor, we’re excited to join the incredible QA and engineering leaders coming together for this experience hosted by @the_test_tribe. If you’re attending, make sure to stop by the Qyrus booth and say hi to our crew: Ameet Deshpande, Suraj Rajan Menon, Shivani Sinha, Anamika Ojha, Shreyas G, and Venkata Satya Prasad Sajja. Let’s talk about where testing is headed, how Context Engineering is reshaping modern QA, and what it really takes to orchestrate quality across the entire engineering lifecycle. See you tomorrow at QonfX Bangalore. 👋 #Qyrus #QonfX #TheTestTribe #SoftwareTesting #QualityEngineering #ContextEngineering

@MeenakshiYACS Appreciated that you also pointed out the work that goes into Agentic AI, not everyone realizes it really is the "endpoint of a progression of things" like you said.

Most people don't understand what Agentic AI is. Here's how to think about it. Agentic AI isn't one thing. It's the endpoint of a progression of things. From data-driven decisions to fully autonomous systems. Here are the 5 levels that get you there: 𝟭. 𝗔𝗜 & 𝗠𝗟 – 𝗧𝘂𝗿𝗻 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝟮. 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 – 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝟯. 𝗚𝗲𝗻 𝗔𝗜 – 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗻𝗱 𝗰𝗼𝗱𝗲 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲 𝟰. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 – 𝗘𝘅𝗲𝗰𝘂𝘁𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝘁𝗮𝘀𝗸𝘀 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀𝗹𝘆 𝟱. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 – 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗲𝗻𝘁𝗶𝗿𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗔𝗜 The progression matters. You don't jump straight to Agentic AI. You build up through each level. Start with AI/ML. Build toward Agentic AI. Each level unlocks the next. ❤️ Like 🔁 Retweet 🔖 Bookmark Follow @MeenakshiYACS for more such posts #AI #ArtificialIntelligence #AISkills #AIAgents #RAG #LLM #PromptEngineering DISCLAIMER- Image rights belong to the owner. Got it from an open source to download.