Passionate about the intersection of mathematics and technology, I've chosen the path of software engineering.Chess enthusiast and avid traveler, I explore diverse cultures and ways of thinking.
I thrive on collaborative projects, focusing on Javascript Ecosystem. I ventured into the tech startup world, eventually leading the Tech at MaVoie.org. Fascinated by AI, my goal is to contribute to impactful projects, particularly in finance, and education. Now immersed in SaaS development impact. 🚀
#AI #StartupLeader #TechEnthusiast #SaaS #MicroSaaS
I spent the last year building an AI-powered app at mavoie.org, and let me tell you - it's nothing like the tutorials make it seem.
Sure, getting a basic AI integration working is easy. But what happens when I need to estimate costs, handle GDPR compliance, test my prompts properly, and make sure my AI doesn't go rogue in production? That's where things get interesting.
In this talk, I'll share the real challenges I faced - from conducting user studies to estimate AI usage, to choosing the right infrastructure, to implementing proper filtering and limitations. I'll dive into practical prompt engineering techniques, testing strategies that actually work, and how to leverage OpenAI's APIs beyond the basics.
But here's the thing - building AI products isn't just about the tech. I'll also explore the ethical considerations: how AI can impact users' critical thinking, the risk of creating delusional experiences, and why it's crucial to position AI as a tool, not a source of truth. These aren't just philosophical questions - they're practical design decisions that affect real users.
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