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How to evolve your product with AI without sacrificing quality

Protagonista: Nano Vazquez
Año: 2025
País: Argentina
Género: Aventura
Track: Product
Idioma: Español

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.

product desarrollo engineering ai product-development ux genereative-ai

How to evolve your product with AI without sacrificing quality

Sobre Nano Vazquez

Nano Vazquez

Problem solver and emerging technologies enthusiast with experience in highly scalable distributed systems

15+ years of experience in full-stack software development. Microsoft MVP. Co-organizer of React in BA, vOpen Tech and DevDayAR. Currently working as CTO @ Bondly. https://nanovazquez.dev

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