Answers you can question: Building a verifiable AI analytics agent

Register here: https://luma.com/9y6qc72e

How to build an analytics agent whose answers you can actually verify (Manychat journey) - Alex Litvinov

We will talk about:

• Why pointing an agent straight at your warehouse fails
• Context layers: what sits between the agent and the data
• Keeping that context fresh as the business evolves
• Making answers verifiable, and why a human stays in the loop
• Results, limitations, and how you can build your own

About the speaker:
Alex Litvinov picked up a Master's in Bioengineering and Bioinformatics, followed by 15+ years as a backend/database engineer in Healthcare and Science domain. Currently a Data Engineer at Manychat, bridging platform data engineering with ML/AI.
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