We integrated AI into an online cooking school with 1,404 recipes: an assistant that knows your menu, a profile that builds itself while you chat, and content generated for production. These are the technical decisions and what we learned: why context is everything, and the hidden-marker pattern that lets the model talk to the system without the user ever seeing it.
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I built an AI assistant with Google Gemini inside a custom WordPress theme, no external SaaS. These are the technical decisions I made: the PHP proxy, the context window, the exponential backoff, and the inheritable system prompt.
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I moved my portfolio from React to plain PHP with no framework or bundler, and moved WordPress to /blog/ on Nginx, with no Apache and no .htaccess. Here are the decisions and the real problems: the location /blog/ with try_files, the Polylang URLs, the dynamic PHP sitemap, and the technical SEO I did by hand.
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I deployed a LEMP stack on Ubuntu 24.04 from scratch for my projects. Not another step-by-step: I cover the decisions that matter and the non-obvious bits. Why I kept everything from the repo, PHP-FPM over a Unix socket instead of TCP, hardening from day one (UFW, TLS, SSH on a non-standard port), and the real permissions mess between the FTP users and www-data.
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