How to Use Lovable’s NEW Visual Edit to Improve Your Designs Instantly

🚀 Gumroad Link to Assets in the Video: https://bit.ly/4105xuU 👉🏼Join the Early AI-dopters Community: https://bit.ly/3ZMWJIb 📅 Book a Meeting with Our Team: https://bit.ly/3Ml5AKW 🌐 Visit Our Website: https://bit.ly/4cD9jhG 🎬 Core Video Description In this video, I’m showcasing Lovable’s brand-new Visual Edit feature – a game changer that brings Figma-style direct editing right into your AI workflow. With Visual Edits, you can select any UI element and tweak its style attributes (like padding, colors, borders, and transparency) on the fly, without having to prompt the AI. Plus, you can edit text directly and make multiple changes at once, all while saving tokens and streamlining your design process. This guide includes: - An overview of the new Visual Edit feature and its Figma-inspired interface. - A demonstration of selecting elements and modifying styles such as padding, color, border, and transparency. - How to edit text directly within Lovable without resorting to code or lengthy prompts. - Tips on making multiple simultaneous edits and saving your changes effortlessly. - Insights on how this feature boosts precision and efficiency while reducing token usage. ⏳ TIMESTAMPS 0:00 – Introduction: Announcing Lovable’s new Visual Edits feature that lets you directly modify UI elements without multiple prompts 0:14 – Feature Overview: How Visual Edits eliminates the need for several prompts by enabling in-place style changes 0:26 – Logging In: Demonstrating the Lovable interface and the appearance of the new edit button 0:34 – Building a Workflow: Creating an app with dynamic components using Gro for rapid LLM responses 1:05 – Custom GPT Prompt Helper: Generating a detailed prompt for your app workflow 1:19 – Explaining App Sections: Overview of process summary, automation opportunities, prioritization, and the complete automation plan 1:49 – Reviewing the Output: Showcasing the responsive, modern UI generated by the prompt 2:09 – Activating Visual Edits: Switching from select mode to edit mode in Lovable 2:29 – Direct Editing Demo: Changing element styles—adjusting colors, padding, borders, and transparency on the fly 3:01 – Advanced Controls: Using side controls to dynamically adjust element size and spacing 3:28 – Saving Changes: How Visual Edits updates the UI instantly without extra prompts 3:43 – Editing Text & Components: Modifying fonts, colors, and layout elements directly within the interface 4:09 – Color Selection Tips: Using external tools like coolers.com for selecting optimal hues 5:00 – Applying Custom Colors: Pasting hex codes and saving new style settings via Visual Edits 5:16 – Toggling Edit Mode: How to enable or disable Visual Edits to switch back to standard functionality 5:29 – Introduction to Gro Integration: Overview of integrating Gro for blazing fast LLM responses 5:41 – Gro Playground Demo: Sending sample messages to Gro and observing rapid output 6:09 – Integrating Gro with Lovable: Setting up a Supabase instance as a bridge for custom scripts 6:21 – Custom Script Setup: Using chat mode to implement the Gro API integration step-by-step 7:03 – Verifying Integration: Reviewing the output to ensure the custom script is followed verbatim 7:27 – Recap of the Automation Workflow: How the process of reading, prioritizing, and drafting emails works 7:41 – Advanced Visual Edit Demo: Refining UI elements in real time to achieve a sleek, modern design 8:15 – One-Line Tailwind Conversion: Demonstrating Lovable Visual Editor for quick style translations 8:29 – Fine-Tuning Visual Styles: Adjusting colors (e.g., making elements more teal) with simple edits 8:41 – Finalizing Edits: Saving and applying updated styles across your app effortlessly 9:04 – Feature Recap: Summarizing how Visual Edits saves tokens and reduces back-and-forth prompting 9:27 – Accessing Custom GPTs: Information on Lovable Prompt Helper & Visual Editor oneliner and Gro integration code 9:41 – Final Thoughts: Encouraging feedback, comments, likes, and subscriptions 9:55 – Outro: Quick summary and call-to-action for viewers 13:44 – End of Main Content 13:45 – Extended Outro: Additional recap and closing remarks #LovableVisualEditor #VisualEdits #FigmaInspired #UIDesign #Lovable #AIDesign #NoPromptEditing #AIWorkflow