1 min read #AI
How to increase trust in the answers of an AI agent?
I published a new article on spark.ru. Based on a real rollout — marketing analytics in ClickHouse, dashboards in Yandex DataLens — I break down what trust in the numbers an agent returns in a chat is actually made of.
Designing the data mart for the agent, matching it with the BI dataset, constraints at the database level, transparency of the queries, and testing against a set of reference questions.
Plus the limits of the approach — what you should not expect from an agent.
How to increase trust in the answers of your AI agent? (in Russian)
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