It’s a simple agentic app for plain-language exploration of corporate culture data. Ask a question in everyday language, and a team of AI agents will plan the analysis, generate the visualization, and explain the findings - all in a few seconds.
It runs on a public dataset from CultureX with corporate culture scores across companies in different industries, measured through anonymous Glassdoor reviews between Jan 1, 2023, and Apr 4, 2025.
The app uses several AI agents (powered by Google’s Gemini 3 Flash Preview), each responsible for a different step:
- Clarifier - asks 2–3 sharpening questions to understand exactly what you want (which companies, which metrics, what chart type, etc.)
- Planner - designs the analysis strategy based on your request and the data
- Critic - reviews the plan and pushes back if something can be improved (up to 3 rounds)
- Executor - turns the plan into runnable visualization code
- Narrative - computes statistics and writes a data-driven summary
- Explainer - synthesizes everything into a concise insight for a non-technical audience
After the initial analysis, you can ask up to 5 follow-up questions. The AI keeps full context from previous turns - including your answers to sharpening questions - so it builds on what it already knows rather than starting from scratch. Hit ✨ New Analysis to start to a fresh exploration.
It usually provides good outputs even with really simple plain language - but based on my experiments, it helps if you know what kind of dataviz and insights you want and spell that out for the agents 😉
Happy exploring 🕵️♀️ And as usual, genAI can make mistakes, so don’t trust the outputs blindly - always double-check 😉
P.S. Since the app is hosted on Streamlit Community Cloud, it doesn’t stay awake continuously. If it hasn’t been used recently, you may need to wake it up and wait a few minutes.
P.P.S. Click the GitHub icon in the top right corner of the app to get to the code repo, or go directly here.
Related notes
- Testing my GenAI skepticism
- How AI is reshaping HR-tech
- Employee feedback analysis using tools from OpenAI
- Agentic workflow for causal inference
- Improving a company career site with tools from OpenAI
📄 Read the original post with full outputs on my blog.