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Built with AI

What practical AI fluency looks like.

I'm a writer, not a software engineer. My edge is being able to sit down with AI and turn a real problem into working software, fast, without waiting on an engineering team. Everything below started as friction in my own week and became a tool that runs. That part is hard to prove on a CV, so here's the proof.

Job Hunt Automation

My own job search, turned into a pipeline. It pulls roles from several sources, judges fit with a mix of local and cloud models, scores my CV against each posting, and sends only the survivors to a private dashboard. The whole point is that my attention goes to a short list instead of a slush pile.

  • Local + cloud LLMs
  • Private dashboard

Metro Agora

Real-time arrival countdowns for the Lisbon Metro, wrapped around a custom proxy that handles the official API's quirks. It's the one build here that's public: anyone can use it at metroagora.com, on the web or as an iOS app.

  • Live at metroagora.com
  • Web + iOS

Fogos Firewatch

A wildfire alerter built for Portuguese summers. Most fire feeds buzz you about everything burning in the country. This one weighs wind direction and distance, and only speaks up when a fire is genuinely heading your way.

  • Wind-aware alerts
  • Scheduled + push

These three are the clearest examples. I've built others the same way: earthquake alerts, finance dashboards, a PR-triage bot, each one a real problem I solved in an afternoon with AI doing the heavy lifting.

© Márcio Florindo

Contact me at marcio@marcioflorindo.com

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