Wondering why a Lovable app that looks fine on your laptop feels sluggish or broken on a phone? This module shows you how to find out and fix it. You will audit a Lovable app's mobile layout and page-load performance, then apply targeted follow-up prompts that repair a broken responsive breakpoint and reduce the size of oversized images slowing the page down. You'll work with plain-language performance concepts such as what actually makes a page feel slow and what a responsive breakpoint is, an AI-generated asset-optimization checklist, and short, specific prompts inside Lovable that ask for spacing fixes, lazy loading, and image compression rather than a full rebuild. This module is for anyone who has a working Lovable app and wants it to hold up on real devices and real connections before launch; no background in web performance or front-end development is required. By the end, you will have fixed at least three concrete performance or layout problems on a real app and produced a short list of what changed and why, ready to apply to your own project before it goes live.

Wondering why your finished Lovable app doesn't show up properly when someone shares the link on Slack or searches for it on Google? This module fixes exactly that. You will add complete SEO metadata, including page titles, meta descriptions, a favicon, image alt text, and Open Graph tags for social sharing, to a live Lovable app, and verify each one actually appears in the page's source code and in a social-preview check. You'll use a plain-language walkthrough of what search engines and social platforms actually read from a page, an AI assistant to draft keyword-aware descriptions and alt text, and direct prompts inside Lovable to set titles, descriptions, and preview images per page. This module is built for anyone preparing to launch a Lovable app publicly, whether or not they have marketing or SEO experience; no prior knowledge of HTML meta tags is assumed. By the end, you will have a fully metadata-complete app with a working social preview card, and a short written record of the metadata you set for each page you can reuse on your next launch.

Wondering how to get your Lovable app off its default preview link and onto a domain you actually own? This module walks you through exactly that. You will publish a Lovable project, open its domain settings, and configure the DNS records a real domain needs so the app loads securely on that domain instead of Lovable's shared subdomain. You'll use a plain-language explanation of DNS records, propagation, and automatic SSL, Lovable's own domain-connection panel, and a registrar setup checklist covering how the same records are named differently across common providers such as GoDaddy, Namecheap, and Cloudflare. This module is for anyone about to launch a Lovable app under its own brand; no networking, IT, or DNS background is assumed, and every term is explained before it's used. By the end, you will have published a project, walked through adding real DNS records for a domain in a guided sandbox, and confirmed the connection is live over SSL, producing a short domain-connection record you can follow again for your own domain and registrar when it's time to launch for real.

Wondering how to get a Lovable app running on Netlify or Vercel instead of relying only on Lovable's own hosting? This module takes you through the full path. You will export a Lovable project's code to a GitHub repository, import that repository into Netlify or Vercel, configure the environment variables the app needs, and deploy it to a live production URL outside of Lovable. You'll use Lovable's built-in GitHub connection, an AI-generated checklist for identifying which secrets and environment variables must migrate safely, and the Netlify or Vercel dashboard's import-and-deploy flow. This module is for anyone who wants a production deployment with its own CI/CD pipeline, custom build settings, or team ownership of the codebase, not just a shareable preview link; no prior experience with Git, GitHub, or cloud hosting platforms is required, since every step is shown from the interface. By the end, you will have a real GitHub repository connected to your Lovable project, a live deployment on Netlify or Vercel with its environment variables correctly configured, and a working production URL you can hand to a team, a domain registrar, or a client as proof the app is genuinely live.

Wondering what to do the moment your Lovable app actually goes live, and how to make sure it doesn't quietly break or stagnate afterward? This module gives you a concrete starting routine. You will add one monitoring or analytics signal to a live, deployed app and turn a set of early user comments into a prioritized, two-week post-launch improvement backlog with at least three ranked items. You'll use a plain-language framework for the three post-launch signals that matter, namely uptime and errors, usage analytics, and direct user feedback, a lightweight analytics snippet and a free uptime-monitoring tool, and an AI assistant that helps sort raw feedback into an impact-versus-effort backlog. This module is for anyone who has just deployed or is about to deploy a Lovable app and wants a repeatable first week of post-launch care, not a one-time celebration; no prior experience with analytics or monitoring tools is assumed. By the end, you will have a live monitoring signal running on a real deployed app and a written, prioritized backlog of the next improvements to make, the same two artifacts you'll want to produce after every future release.