Build trust into every answer
Context Studio lets data teams build context, learn from every conversation, and ship improvements — so every answer is more trusted than the last.
Purpose-built for every step of context curation
Manage context
Build and curate context at every level, directly inside of Hex.
Observe & surface gaps
Uncover agent confusion and context gaps surfaced automatically from real user conversations.
Review & publish
You decide what ships — review suggestions and publish updates from the UI or CLI.
AI-powered assistance directly into your Hex projects. Write and edit code, ask questions, and get answers all in one place.
Ask natural language questions and get AI-powered insights based on semantic models and warehouse tables
Write and edit semantic resources using natural language. Describe the model you want and let the agent generate or update it.
Chat with App enables users to ask natural language questions and get AI-powered insights from published apps.
Interact directly with Hex from your terminal. Get projects, create cells, and manage users from the command line.
Manage context
Create, organize, and control the context your agents rely on — without overwhelming them.
Agents that understand your business
Give agents company-specific terminology, definitions, and best practices through workspace rules and domain-specific guides. Build in Hex or sync what you already have from GitHub using our CLI.
Build semantic models where analysis happens
Define metrics and business logic directly in Hex, and use the Modeling Agent to quickly bootstrap models with natural language.
Observe & surface gaps
Understand how agents are responding, and where they (or users) get stuck. Track all Hex conversations and get automatic suggestions to improve answers.
Trends surfaced automatically
Track agent adoption across all of Hex surfaces. See question domains that are growing, trending, or newly emerging with Topics.
The agent suggests improvements
Warnings surface agent confusion, missing context, or user doubt. The Review Agent tells you exactly what to fix.
| DATE | AGENT | PROMPT | TOPIC | WARNINGS | SOURCE | USER | ROLE |
|---|---|---|---|---|---|---|---|
| 44 min ago | Notebook | How did revenue change across the Outer Rim compared to last quarter? | Revenue by Product Line | Hex | Luc Patton | Admin | |
| 1 hr ago | Threads | Which product lines saw the strongest Research-sector demand? | Sales Breakdown | User doubt | Slack | Eels Gulsen | Editor |
| 2 hrs ago | Modeling | Help me define measures and dimensions for the Core Worlds semantic model. | Sector Analysis | MCP | Andrei Leesom | Explorer | |
| 3 hrs ago | Threads | Give me a breakdown of negative customer feedback in the Outer Rim this month. | Sector Revenue | Missing context | CLI | Andrei Leesom | Explorer |
| 3 hrs ago | Threads | What are this quarter's top customer pain points in the Outer Rim? | Quarterly Trends | Hex | Andrei Leesom | Explorer |
Review & publish
Triage agent suggestions and publish immediately, or move to our context workbench and test on a real Thread. Hate a UI? Get help from your coding agent using our CLI.
Fix what matters to your users
The Review Agent will organize conversations by topic, warning, and user volume, highlighting the critical gaps.
Publish suggested improvements
Each suggestion includes a summary, evidence, and recommended fixes. Review and publish.
Use your coding agent from the terminal
Pull agent suggestions via the CLI and ship them as PRs — no UI required.
“Context Studio gives us the confidence to roll out agents on our data. It's something I check every day — seeing context gaps and suggested improvements surfaced automatically provides a practical way for us to bring trusted AI self-service to the business.”
“Context Studio gives us the confidence to roll out agents on our data. It's something I check every day — seeing context gaps and suggested improvements surfaced automatically provides a practical way for us to bring trusted AI self-service to the business.”
A trusted approach to exploring data with AI
Context curation in Hex is designed for getting started quickly, fitting into modern data stacks, and bringing AI to every data workflow.
Start simple. Build as you go.
You don’t need built-out semantic models to start using agents in Hex. Start with lightweight data endorsements and metadata, then layer in deeper context over time.
One context, many workflows
The same context powers agent interactions across Threads, notebooks, Slack, and MCP, so each improvement scales to every workflow.
Built on open standards
Context Studio integrates with dbt MetricFlow, Cube, Snowflake Semantic Views, and external documentation systems, keeping your context portable, auditable, and aligned with the rest of your data stack.
Model what’s needed without getting boxed in
When you want to go off-road, use the Hex notebook for flexible and agile exploratory data analysis. No need to crank out code for single-use logic in an overly restrictive semantic layer.
“Development and deployment is so speedy. Seeing my semantic model changes immediately rendered in Hex was a joy.”
Peter R.
Data Engineer at Notion
“Hex made setting up a connection to MetricFlow a breeze! The intuitive click-and-drag UI empowers our stakeholders to perform self-serve analysis.”
Mercedes W.
Data Scientist at Weights & Biases
Bring speed & trust together in Hex
Get in touch with us to see a demo or find out which plan is right for you.