Fooyo blog
Longer reads on what we are building, and what we are learning while shipping it.
When an incident occurs inside a theme park, the single most important variable is not how fast people can move, it's how fast the route guidance can change. A fixed evacuation map printed on a wall assumes the nearest exit is always the right exit.
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Knowledge base gap analysis is the systematic process of testing a retrieval-augmented generation (RAG) system against real or simulated questions to find out where its underlying knowledge base is missing, outdated, or contradictory, before those gaps surface as wrong answers
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Crowd surges at festivals and large events are largely preventable because the warning signs show up well before a crush happens. Dangerous crowd density is typically visible up to 30 minutes before a crush occurs, and researchers have identified specific early indicators,
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Migrating from a legacy chatbot to a grounded RAG knowledge base means moving your content, your query logs, and your retrieval logic into a new architecture that can cite its sources, without breaking the historical record of what users actually asked.
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Lease renewal negotiations go better when the landlord shows up with evidence instead of opinion. AI analytics platforms that combine crowd counting, point-of-sale data, and tenant performance metrics give mall operators a data-backed position at the negotiating table: which
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A hotel concierge chatbot and a destination AI guide look similar from the outside, both answer questions in natural language, but they are built on fundamentally different knowledge base architectures because they solve different retrieval problems.
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A negative feedback loop in enterprise AI is a closed system where a user's "wrong answer" flag does more than get logged in a ticket; it changes what the retrieval system fetches the next time a similar question is asked.
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Query rewriting is the step in a retrieval-augmented generation (RAG) pipeline where a user's raw question is transformed into one or more alternate queries before retrieval runs, closing the gap between how people phrase questions and how documents are actually indexed and
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Theme parks stop selling tickets for a given day when a forecasting system predicts that incoming attendance will push a park past a safe or comfortable occupancy threshold, not when a fixed daily number is hit.
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