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Practical guides to amplify what you already do with AI. For makers, creators and curious minds, not just developers.

Replit Monitoring Agent: choose three switches before AI fixes your app
Choose Replit Monitoring alerts, Auto-fix, and Auto-republish in stages, with a practical incident prompt and clear production boundaries.
You ship an app built with Replit Agent. The next morning it returns HTTP 500 errors, but nobody opens the logs until a customer complains. Turning on every “AI fix” option is not the only response. Replit separates alerts, attempted fixes, and automatic republishing. Choosing those controls in stages can protect a live product from an unreviewed change. Replit's official Monitoring Agent documentation names the three settings Monitoring alerts, Auto-fix, and Auto-republish. It says Auto-republish is experimental and requires Auto-fix. This guide is based on official pages reviewed October 25, 2026. SoyJB has not enabled the settings or observed a real incident in its own Replit app. Open Monitoring under Replit Cloud after your app is published. Replit's monitoring guide describes uptime, request volume, HTTP status codes, response duration, CPU, memory, and production logs. A graph tells you where to investigate, not the underlying business cause. A 500 spike after a release points you toward that revision; rising latency may come from traffic or a third-party dependency. Monitoring starts after publication. Replit says uptime checks require a paid plan and are unavailable for…

Verify an AI product claim with Gemini and official URLs
Compare official announcements, docs, and pricing with Gemini URL Context before publishing an AI story or video. Includes code and limitations.

Keep your AI agent running when its primary model fails
Configure ordered model fallbacks in Vercel AI Gateway and test output contracts, latency, and cost before relying on them in production.
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