Engineers build complex systems but hate marketing. I built an autonomous agent army with Gemini to distribute my content. Here is the technical breakdown of what worked, the friction I encountered, and how it shapes my roadmap.
When visitors have questions about my 72 blog posts, they shouldn’t have to dig through archives. I built an AI copilot that uses Algolia Agent Studio to deliver conversational answers backed by real content.
When AI generates social media content, how do we know if it’s good? I built autopilot-ctrl, a tool that uses GitHub Copilot CLI to evaluate content quality before publishing.
We add a new feature to the Autopilot: a newsletter integrated into the blog footer that captures subscribers, segments them by language (ES/EN), and automatically sends AI-generated personalized emails when I publish new content.
In this last chapter, we ditch manual execution. We built a CI/CD pipeline in GitHub Actions that detects new articles, orchestrates AI agents, and manages publishing to Twitter and LinkedIn under human supervision. Welcome to total automation.
The ‘Organic Traffic Plateau’ is real. To overcome it without losing focus on engineering, I’m launching an extreme ‘dogfooding’ experiment: automating Datalaria’s distribution using Gemini, CrewAI, and GitHub Actions. This is the Master Plan.