I recorded a silent 1-hour build of a tool called PromptLens inside Base44. The video is silent on purpose. This is not meant to be a polished tutorial. It is meant to show the build process, the app, and the repo structure without distractions. The goal was simple: Can I build a usable tool in about an hour while keeping the project organized enough that someone else could understand it later? That is the part I care about most. Not just the app. The structure. By the end of the build, the repo includes: - app files - docs - schema references - build notes - acquisition notes - supporting context - organization for future maintenance or handoff This is something I keep coming back to: Prompting creates an output. Structure creates an asset. If you are building tools with AI, the repo matters. The docs matter. The naming conventions matter. The handoff notes matter. The schema references matter. Because at some point, you may want to improve it, sell it, rebuild it, hand it off, or teach someone else how it works. That is why I wanted to share this inside the group. Not as “look what AI made.” But as: Look how a build can be organized. One-hour build. Silent walkthrough. Full repo structure. PromptLens. https://promptlensdemo.base44.app/

All built by gemini in browser... ask me how ill share the video.

I built TerritoryOS, an exclusive local SEO territory platform for service businesses with one trusted operator per city and per service category. It generates high authority city and sub territory landing pages, injects JSON schema, routes leads to the verified operator, and prevents aggregated competition. Right now I have about 17 territories, 16 categories, 272 territory pages, 1,681 plus sub territory pages, and about 1,972 plus indexable URLs with 2,756 plus FAQs. Since March through May we have 108 clicks and 54 impressions, and the keyword gains are the real value. No action was specifically requested.

For the best viewing experience, I recommend watching on mute or at a faster playback speed. There is music playing in the background, so Loom’s auto-generated summary and chapters may be inaccurate. The chapters are mostly picking up the songs, not the actual workflow. https://alexseo.co/blog/aeo-for-local-businesses

Just published a full guide on AEO for local businesses. If you work with local clients or run a local business yourself, this is the most practical thing I've written on the topic. The core framework is the Local AI Visibility Stack — 9 layers, built from the bottom up. Most businesses have gaps in layers 1–4 before they even get to content or schema. The article includes: — The full Local SEO vs Local AEO comparison table — How AI systems actually understand local businesses (4 layers) — GBP optimization specifically for AI visibility — Service page and city page structure for AI extraction — LocalBusiness schema example (copy-paste ready) — A 32-point audit checklist organized by stack layer Run the checklist on your own business or a client. Post your results in Entity Lab — specifically what layer you found the biggest gap in. Link: alexseo.co/blog/aeo-for-local-businesses