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👉🏼 Apply to join the Early AI-dopters Community: https://bit.ly/3ZMWJIb 📅 Book a Meeting with Our Team: https://bit.ly/3Ml5AKW 🌐 Visit My Agency Website: https://bit.ly/4cD9jhG In this video, I showcase the latest Lovable.dev features that let you build and iterate on your applications directly from your browser. We’ll explore: 1.Generating a Full App from a simple URL—no local environment needed. 2.Using the Labs Feature to chat with a Large Language Model without altering your actual prototype. 3.Seamlessly Importing Figma Files (using auto-layout) into Lovable.dev to kick-start your design. 4.Leveraging 21st.dev to instantly import React components with prompt-engineering shortcuts. 5.Creating a “Car Prompt Engineering Agent” that helps generate prompt ideas for your projects on the fly. This guide will help you: ✅ Understand how Lovable.dev’s newest features can speed up your workflow ✅ Implement 21st.dev’s prompt hacks for component importing ✅ Combine design and AI capabilities to build robust prototypes ✅ Streamline your prompt engineering process with an on-the-go AI agent Whether you’re an AI-first innovator or just exploring these new possibilities, this hands-on demonstration will give you the insight and confidence to harness Lovable.dev for faster and smarter app development. 👋 About Me I’m Mark, owner of Prompt Advisers, helping businesses streamline workflows with AI. With the right strategy, you can fully harness the power of AI to scale, automate, and grow your business efficiently. #AIForBusiness #GenerativeAI #AIImplementation #AIWorkflow #BusinessAutomation #AIAdoption #FutureOfWork #TechTrends #ArtificialIntelligence #aiautomation TIMESTAMPS ⏳ 0:00 - Introduction and overview of video content 0:06 - Explanation of features and hack introduction 0:13 - Mini prompt engineer app creation preview 0:19 - Video tips and tricks teaser 0:25 - Feature 1: Creating applications directly in the browser 0:30 - Demonstrating browser-based app creation with prompts 0:41 - Explaining how quick demos can be created 0:50 - Example of generating a to-do list app 1:06 - Using "Generate.new" URL for direct app creation 1:26 - Overview of demo output and further customization options 1:55 - Utility of browser-based automation for quick prototypes 2:01 - Feature 2: Activating chat modes in Labs settings 2:15 - Enabling LLM chat mode without code changes 2:33 - Difference between "default" and "chat-only" modes 2:52 - Example of conversational guidance without altering code 3:30 - Chat interaction for app improvement suggestions 4:04 - Transitioning from chat guidance to action steps 4:29 - Feature 3: Integrating Figma designs into Lovable 4:40 - Leveraging Figma designs for live app development 5:12 - Explanation of Figma and Auto Layout requirements 6:04 - Verifying Figma designs for compatibility 7:16 - Setting up Builder.io plugin in Figma 8:32 - Using Builder.io to export designs into Lovable 9:16 - Importing and refining Figma designs in Lovable 10:04 - Editing imported designs directly in Lovable 11:01 - Finding free Figma templates for import 11:49 - Checking Auto Layout compatibility in templates 13:10 - Testing templates for import suitability 14:13 - Importing functional designs from Figma to Lovable 15:26 - Introducing 21st.deev for advanced UI components 16:08 - Example of importing futuristic designs 16:45 - Customizing UI elements and buttons using 21st.deev 19:01 - Testing and iterating on imported designs 19:50 - Setting up a spinning globe design in Lovable 21:37 - Creating functional email submission workflows 22:40 - Customizing imported designs with iterative improvements 24:43 - Building a prompt engineering app structure 26:17 - Addressing errors and refining app layout 28:35 - Creating task-specific cards and navigation flows 30:17 - Ensuring proper title and card layout 31:05 - Connecting Lovable with Superbase database 32:13 - Enabling OpenAI integration for app functionality 33:33 - Defining and implementing app sections 36:06 - Testing task-to-prompt functionality 37:26 - Iterating to fix formatting issues 37:57 - Testing prompt simulation functionality 39:53 - Troubleshooting errors in conversation simulator 41:12 - Verifying context retention in conversation threads 42:08 - Storing prompts and chats in Superbase database 43:00 - Resolving authentication issues in Lovable 43:34 - Viewing prompt history and database integration 43:52 - Unlocking role-level security in Superbase 44:03 - Final thoughts and recap of the video 44:16 - Call-to-action: Like, share, and subscribe