We all want to use AI, right? But in which cases does it truly add value? Is it only good for building chatbots? In this talk, we’ll examine situations where deterministic code works perfectly and tho… See more

We all want to use AI, right? But in which cases does it truly add value? Is it only good for building chatbots? In this talk, we’ll examine situations where deterministic code works perfectly and those where it reaches its limit or its cost outweighs the benefit. We’ll show how, in these scenarios, generative AI can integrate with what already works, simplify your product, and enhance the quality of existing features. We’ll also explore how some current UX patterns lose relevance and force us to rethink new ways of interacting in our applications. We’ll present three use cases that any modern app can adopt by 2025: - Search interfaces with filters and semantic search: when to stick with deterministic filters and when to migrate to prompts and RAG for more contextual results. - Data entry in forms (or bulk/batch processing): how AI can autocomplete or validate large volumes of data, improving the user experience while leveraging existing validation rules. - Predefined task generator from natural language: how AI can interpret natural-language instructions to generate workflows that are then executed deterministically on the backend. Sobre Nano Vazquez: 15+ años de experiencia en desarrollo full-stack de servicios altamente escalables y distribuibles. Microsoft MVP. Speaker. Fintech teacher @ Universidad Austral. Co-organizador de React en Buenos Aires. Actualmente CTO @ bondly.com. https://nanovazquez.dev Show less