Hex Notebook AgentUnclaimed profile

Agentic AI inside Hex notebooks that writes SQL and Python, builds charts, and delivers warehouse-grounded data insights.

Task: Analyzing DataUse case: Conversational data analysis and insight generation from business databases

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Community tutorials

Summarized from 3 community tutorials · July 2026

What you need

Access: Free tier
Runs on: Web app
You’ll need: Hex account (login)
Connected data warehouse (e.g. Snowflake, Supabase, BigQuery
Skill level: Some setup — keys, settings, or a connected account

Worth knowing: The conversational Threads interface was still in beta at time of filming, and the fully generative app-builder step can take several minutes (one run took 5-7 min) and sometimes rebuilds the map/char

Summarized from 3 community tutorials · July 2026

Highlights

Natural-language data threadsBusiness users type a question and the agent searches workspace tables/projects, writes the SQL itself, and returns a table or chart with an inspectable reasoni
Notebook agent builds analysis cellsInside a notebook/project, the agent writes SQL and Python cells, creates charts, and proposes changes you can accept or reject cell-by-cell.
Agent-run clustering analysisGiven a plain-language request, the agent runs K-means clustering on the data, maps the groups, and infers sensible names for each cluster.
One-prompt app generationThe agent (or you manually) converts a finished notebook into a shareable interactive app with inputs, maps and tables, publishable via a link.
Semantic-modeling agentA separate modeling agent bootstraps a semantic model straight from an existing notebook, which you can edit or hand off to the agent to refine and publish.

Summarized from 3 community tutorials · July 2026