“Vibe analysis”: How Faire uses Cursor, enterprise search, and custom agents to analyze data

ℹ️ EPISODE INFO

Released

November 3, 2025

Duration

1h 3m

Channel

How I AI

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

Tim Trueman and Alexa Cerf from Faire’s data team demonstrate how AI tools are revolutionizing data analysis workflows. They show how data teams, product managers, and engineers can use tools like Cursor, ChatGPT, and custom agents to investigate business metrics, analyze experiment results, and extract insights from user surveys—all while dramatically reducing the time and technical expertise required. *What you’ll learn:*

1. How to use AI to investigate sudden drops in business metrics by searching documentation and codebases
2. Techniques for creating a semantic layer that helps AI understand your business data
3. How to build end-to-end analytics workflows using Cursor and Model Context Protocols (MCPs)
4. Ways to automate experiment analysis and create standardized reports
5. How AI can help design and analyze customer surveys
6. Strategies for creating executive-ready documents from raw data analysis
7. Why every team member should have access to code repositories—not just engineers

*Brought to you by:* Zapier—The most connected AI orchestration platform: https://try.zapier.com/howiai Brex—The intelligent finance platform built for founders: https://brex.com/howiai *Where to find Tim Trueman:* LinkedIn: https://www.linkedin.com/in/tim-trueman-99788592/ *Where to find Alexa Cerf:* LinkedIn: https://www.linkedin.com/in/alexandra-cerf/ *Where to find Claire Vo:* ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo *In this episode, we cover:* (00:00) Introduction to Tim and Alexa from Faire (02:53) The challenge of analyzing product quality and usage (04:14) Breaking down what analytics actually involves beyond data manipulation (05:46) Demo: Investigating a conversion rate drop using enterprise AI search (09:05) Using ChatGPT Deep Research to analyze code changes (12:40) Leveraging Cursor as the ultimate context engine for code analysis (18:55) Analyzing a new product feature’s performance with Cursor (26:27) How semantic layers make AI tools more effective for data analysis (30:00) Using Model Context Protocols (MCPs) to connect AI with data tools (34:17) Creating visualizations and dashboards with Mode integration (37:04) Generating structured analysis documents with Notion integration (44:39) Building custom agents to automate experiment result documentation (53:10) Designing and analyzing customer surveys (59:40) Lightning round and final thoughts *Tools referenced:*

• Cursor: https://cursor.com/
• ChatGPT: https://chat.openai.com/
• Notion: https://www.notion.so/
• Snowflake: https://www.snowflake.com/
• Mode: https://mode.com
• Qualtrics: https://www.qualtrics.com/
• GitHub: https://github.com/

*Other references:*

• Model Context Protocol (MCP): https://www.anthropic.com/news/model-context-protocol
• Faire Careers: https://www.faire.com/careers

_Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._

🎤 SPEAKERS

• Claire Vo

  host

• Tim Trueman

  guest

• Alexa Cerf

  guest

🧾 EPISODE SUMMARY

In this episode of How I AI, featuring Claire Vo and Tim Trueman, “Vibe analysis”: How Faire uses Cursor, enterprise search, and custom agents to analyze data explores faire’s “vibe analysis” stack: Cursor, MCPs, search, agents workflows The episode reframes analytics as mostly context gathering and interpretation—not just crunching numbers—and shows how AI tools drastically shorten the “figure out what happened” phase.

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