SPEAKING TOPICS / 05
Building AI-native products
Start with a user problem, identify the right role for AI and build evaluation into the product before the feature list grows.
The audience’s challenge
AI is easy to add to a pitch or interface. It is harder to explain which user job it improves and how the product handles uncertain, incomplete or incorrect outputs.
What we will explore
- Define the user problem and workflow before choosing a model.
- Identify where AI creates value and where it adds complexity.
- Connect data, context and feedback to the product cycle.
- Set quality criteria, evaluation examples and a fallback path.
- Account for cost, latency and ongoing maintenance.
What the audience takes away
The basis for a product brief: who needs the outcome, which task is being solved, why AI belongs and how to assess whether the product works.
GROUNDED IN PRACTICE
ЦУКАA technology platform for short-term rental operators, bringing properties, bookings, guests, communications and finances into a shared operating model.
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