Use AI the smart way and avoid the slop! Hinge Health engineer Rafael Mendiola and Chris Traganos share practical insights on: 🤖 Claude, Cursor, and other #AI tools 🤹 #Tmux workflows and automated tickets with AI ⚛️ Expo and #ReactNative for web developers Watch the full video ➡️ https://lnkd.in/gSn-GDGR
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🚀 Understanding the role of AI in modern web applications. Today I learned that AI improves web apps by enabling personalized user experiences, intelligent chatbots, and smart data processing. This allows websites to respond faster and serve users more effectively. Excited to continue learning and growing in AI and web technologies. #AI #FutureInTech #WebApplications #LearningJourney
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While experimenting with ways to build more dynamic interaction between AI agents and users, I explored the Agent User Interaction (AG-UI) protocol. What stood out to me was that, while we already have several approaches to agent-to-tool communication, there are still very few standards for how agents interact with humans in real time. AG-UI, introduced by CopilotKit and gradually being integrated into ecosystems around Microsoft as well as frameworks like Pydantic AI, focuses specifically on this layer, the interface between agents and users. A few capabilities I found particularly interesting: • Human-in-the-loop interaction – Agents can pause execution and request user approval before performing critical actions. • Generative UI – Instead of returning only text responses, agents can dynamically update the frontend by sending UI structures. • Efficient state updates – Using JSON Patch allows incremental updates rather than repeatedly sending full payloads. • Framework flexibility – It acts as a standard interaction layer, allowing developers to switch backend frameworks without rebuilding the frontend. As AI systems move from chatbots toward more autonomous agents, the design of human interaction with these systems will become increasingly important. AG-UI seems like an interesting step toward building more interactive and controllable agent systems. Curious to hear how others working with AI agents are approaching agent-to-human interaction in their applications. #AI #AIAgents #GenerativeAI #SoftwareEngineering #AGUI
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🔍 **AI Agents are Evolving Faster Than You Think!** The landscape of Artificial Intelligence is changing, and it’s not what you’d expect. AI agents are on the cusp of being consumer-friendly, revolutionizing accessibility and everyday usage. 📈 **Here’s what’s happening:** 1️⃣ **Simplifying Access:** Companies are racing to develop AI agents like Open Claw that operate without dedicated machines—right from your browser. This means easier access and wider adoption. 2️⃣ **Smart Integrations:** AI features are upgrading our favorite tools. From Google Maps to Photoshop, AI is transforming user experiences with enhanced navigation and creative capabilities. 3️⃣ **Remote Controls:** Imagine controlling your AI agent on-the-go. Claude Co-work's mobile features now let you do just that, turning everyday devices into powerful AI interfaces. 4️⃣ **Revolutionizing Workflows:** AI tools are reshaping professional environments. Seamless, multi-functional systems are becoming the new norm, driving productivity and creativity. 💬 **Which innovation are you most excited about in the AI arena? Let’s discuss in the comments! 👇** #AIFuture #InnovationInTech #DigitalTransformation
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PromptPilot - AI Prompt Library Platform. PromptPilot is a modern AI prompt discovery platform designed to help creators, marketers, developers, and designers find high-quality prompts for popular AI tools. The platform simplifies prompt discovery by organizing prompts into structured categories and providing a fast search experience. Swipe → to see the design What do you think about this design? 👇 #LandingPage #WebsiteUiDesign #FigmaUiDesign #Aiwebsite #AiLandingpageDesign #Promptgenerate #AiPromptGenerate #AiPromptDesign #Aitrendingwebsite #AiUiDesign #AiWebsiteUiDesign #AiLandingPageDesign #Promptgenerator #Promptprovider #Figmawebsitedesign #Minimallandingpagedesign #Minimalwebsiteui #Minimaluidesign
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A quiet shift is happening in how AI will interact with the web. And it’s bigger than it looks. Until recently, AI “used” the web the way humans do: Clicking pages, parsing HTML, navigating interfaces. Now that’s changing. With early experiments like WebMCP in Chrome and operator-style agents, websites are starting to expose structured actions directly to AI systems. No scraping. No UI simulation. Just direct execution. This effectively turns the web into an API layer for AI agents. And that changes two things immediately: 1. Speed will increase dramatically Tasks that took multiple steps can now happen in a single call. 2. Visibility will decrease dramatically No clicks. No journeys. No obvious trail. Which leads to a much bigger question for enterprises: If AI is executing actions directly, how do you track, validate, and trust those actions? Because traditional analytics was built for human behavior. Clicks. Sessions. Funnels. That model starts breaking when decisions are made - and executed - by agents. We’re moving toward a world where: The system doesn’t just observe behavior. It acts on it. And that means the next layer of innovation won’t be speed. It will be observability and control. Curious how others are thinking about this shift - Are your systems ready for an agent-first web? #AI #AgenticAI #WebMCP #FutureOfWork #DigitalTransformation #EnterpriseAI
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Building high-quality datasets for accessibility-focused AI systems is much more than labeling UI elements. It requires clear annotation standards, consistency across complex web and mobile layouts, and solid validation throughout the process. At Evinced, we’re building and scaling structured data workflows that support accessibility AI systems and help improve how accessibility issues are detected and addressed. You can read more about the process and collaboration in Keymakr Data Labeling case study: https://lnkd.in/dF_MbyYM
🎉Proud to share our latest case study on supporting Evinced, a leader in AI-powered digital accessibility, in advancing intelligent solutions for building and maintaining accessible web and mobile applications. As accessibility standards evolve, training reliable AI models requires high-quality, consistent annotation of complex UI components across diverse layouts, platforms, and real-world scenarios. Accuracy here impacts how effectively accessibility issues are detected and resolved. 🚀Our task was to deliver large-scale, detail-oriented labeling of web and mobile interfaces and provide expert validation and analysis of code generated by AI assistants for developers against web accessibility requirements. We helped build reproducible datasets that strengthened model training and improved reliability across accessibility use cases. And we’re proud to contribute to AI systems that make digital products more inclusive and accessible for everyone. Thank you, Dudi Mazia, for our collaboration and trust. Read the full case study: https://lnkd.in/dz7WTHiQ #AI #ComputerVision #MachineLearning #DataAnnotation
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AI May Replace Traditional Search Interfaces The way we find information online is already changing. For years, users searched through pages of links to find answers. Now AI systems can analyze information and deliver direct insights instantly. This shift is influencing how businesses design digital products. Modern platforms are integrating AI to: • provide instant answers • simplify navigation • deliver personalized insights At Tecorb, we help companies build AI-powered platforms that make information easier to access and use, including: • Custom AI and ML solutions • LLM-based applications • Mobile application development • Scalable web platforms The future of software may not revolve around searching for information — but interacting with intelligent systems that understand your needs. How do you think AI will reshape search experiences? Learn more: https://tecorb.com #AISearch #ArtificialIntelligence #TechInnovation #SoftwareDevelopment #DigitalProducts
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The AI Builder Era Has Started. Are You In? If you’re still only prompting, you’re already behind. AI agents aren’t just chat interfaces. They plan. They use tools. They coordinate. They run real workflows. Here are 12 FREE courses to help you move from AI user → AI builder (reshuffled so you don’t just follow the obvious path): 1️⃣ DSPy Agentic Apps 🔗 https://lnkd.in/eRwjj7hq 2️⃣ AI Browser Agents 🔗 https://lnkd.in/eqKxCW2d 3️⃣ AI Coding Agents (Windsurf) 🔗 https://lnkd.in/eK4ZPdAt 4️⃣ Evaluating AI Agents 🔗 https://lnkd.in/ecRrS2Yi 5️⃣ Multi-Agent Systems with crewAI 🔗 https://lnkd.in/e-6zm9hb 6️⃣ AI Agents in LangGraph 🔗 https://lnkd.in/e_yQ2_pq 7️⃣ Event-Driven Agent Workflows 🔗 https://lnkd.in/ec_KQQ-T 8️⃣ Long-Term Agentic Memory (LangGraph) 🔗 https://lnkd.in/eCkbAkDR 9️⃣ Agentic Design Patterns (AutoGen) 🔗 https://lnkd.in/evHrew6a 🔟 Live Voice Agents (Google ADK) 🔗 https://lnkd.in/em7aWfNn 1️⃣1️⃣ Advanced Multi-Agent Workflows 🔗 https://lnkd.in/eyiCh2Y6 1️⃣2️⃣ Code Agents with SmolAgents 🔗 https://lnkd.in/e8RznhHQ You don’t need all 12. Pick one framework. Build one real workflow. Ship something useful. The builders are pulling ahead fast. Which stack are you betting on? #AI #AgenticAI #MachineLearning #AIEngineering #NoCode
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Many websites built even in the last few years are fundamentally incompatible with AI bots. Despite advancements in AI, a significant number of sites are failing basic checks, returning "Page not found" errors. This isn't a technical issue with the AI, but rather a deficit in website development. Outdated architecture prevents AI crawlers from accessing or interacting with these platforms, causing them to be overlooked entirely. Ensuring your website is AI-crawlable and ready for bot interaction is becoming a critical factor for visibility and functionality in the modern digital landscape. Curious if anyone else is encountering similar challenges with website AI compatibility? Learn more about Hydra+CortexAI at https://lnkd.in/gPv6ycCs #AI #WebDevelopment #DigitalTransformation #TechTrends #BusinessStrategy
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🚀 𝟓 𝐀𝐠𝐞𝐧𝐭 𝐒𝐤𝐢𝐥𝐥 𝐃𝐞𝐬𝐢𝐠𝐧 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐄𝐯𝐞𝐫𝐲 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐒𝐡𝐨𝐮𝐥𝐝 𝐊𝐧𝐨𝐰 In modern AI development, the real challenge is no longer formatting, it's content design. Understanding how to structure intelligent agents can dramatically improve performance, scalability, and efficiency. Here are 5 powerful design patterns every ADK developer should master: 🔹 𝐓𝐨𝐨𝐥 𝐖𝐫𝐚𝐩𝐩𝐞𝐫 – Turn your agent into an instant expert on any library 🔹 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐨𝐫 – Create structured outputs using reusable templates 🔹 𝐑𝐞𝐯𝐢𝐞𝐰𝐞𝐫 – Validate and score outputs for accuracy 🔹 𝐈𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 – Let the agent gather context before taking action 🔹 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 – Build step-by-step workflows with checkpoints 💡 These patterns are not standalone, they work best when combined to create robust, production-ready AI systems. At 𝐁𝐚𝐫𝐨𝐧 𝐓𝐞𝐜𝐡, we focus on building smart, scalable AI-driven solutions by applying proven design strategies like these. 🔗 Reference: https://rebrand.ly/7rhqexq #AI #AgentDesign #GoogleCloud #ADK #ArtificialIntelligence #SoftwareDevelopment #TechInnovation #ArtificialIntelligence #AI #AIDevelopment #AgentDesign #AIAgents #MachineLearning #GenerativeAI #AIEngineering #SoftwareDevelopment #CloudComputing #GoogleCloud #TechInnovation #DeveloperTools #Automation #FutureOfWork #DeepLearning #AIWorkflow #SmartSystems #DigitalTransformation #TechTrends
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