Developer shares workflow to track AI model releases via docs pages, not social feeds

A developer writing on DEV Community argues that AI model releases are best tracked through official documentation and pricing pages rather than social media, where discussion typically lags behind the actual drop. The author notes that critical details — such as model IDs, token pricing, context windows, rate limits, and deprecations — often appear quietly on docs pages before any public commentary begins. Manual changelog checks proved unreliable for catching midweek updates like silent price cuts or alias changes, sometimes only discovered through invoice spikes or broken evaluations. To automate monitoring, the author uses a website change alert tool called AyeWatch, which watches trusted docs URLs and delivers a one-line summary when content changes. The free tier covers three topics with six lifetime runs, while the paid plan costs $9 per month.