Developer builds AI ad engine that limits AI to planning, adds desktop release pipeline

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A developer spent the week building Adforge, a tool that converts a library of proven ad templates into finished, on-brand advertisements by merging template wireframes with brand kits scraped via headless Chromium. The engine restricts AI involvement to a single planning step, where a Claude API call generates a structured plan.json file specifying templates, copy, and brand values, while all rendering is handled deterministically by scripts using Playwright and ffmpeg. After one week, the library includes 16 templates across five families, seven ad sizes, five visual themes, and four campaign recipes, with failed ads flagged visually rather than halting a run. Separately, the underlying OMEGA framework gained a desktop release pipeline that rehearses builds by pushing a temporary snapshot to a private repo before triggering a Windows signing workflow on GitHub Actions, keeping framework source code private. A VS Code extension latency issue was also resolved, and a QA stage was updated to require proof before passing.

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