Releasesby GlyphMore control over Generative app iteration
🎮 More control over Generative app iteration Directly edit text, create new chart properties, and queue up viz tweaks all in line. ✏️ Direct text editing You can also edit text directly in the app builder, just like you would in a doc.
Also shipped Sep 10, 2026Hex in September 2026 →
BigQuery conversational analytics adds ML.CORRELATION in preview
Conversational analytics can now use ML.CORRELATION to calculate statistical correlations between a target column and one or more metric columns in a table.
BigQuery ML.METRICS evaluates predictions without a stored model
The preview ML.METRICS function computes classification or regression evaluation metrics on any table or query with actual and predicted values, with no need to create or reference a stored model.
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .
BigQuery Data Engineering Agent integrates with BigQuery Graph
The Data Engineering Agent now uses BigQuery Graph for extra context between source and destination schemas, improving schema mapping accuracy in data engineering pipelines. It is generally available.
Using dbt artifacts for Slim CI and defer to production in dbt Projects on Snowflake (General availability)
Slim CI, defer to production, failed-execution recovery, and concurrent execution are now generally available for dbt Projects on Snowflake. Reuse dbt artifacts from recent production executions to accelerate development, streamline CI/CD workflows, and recover from failed production runs without maintaining a separate artifact store.
External secret providers (Preview)
External secret providers are now in preview. If your organization already keeps API keys, database passwords, and similar values in AWS Secrets Manager, Azure Key Vault, or Google Cloud Secret Manager, Snowflake can read those values when a query needs them, so you don't have to maintain a second copy in a Snowflake secret .
More from HexEvery Hex release →
Publish eval suites, skip approvals, and build Hex projects from your chat agent
⚖️ Publish and version eval suites Did last week’s guide change actually make the agent better? Now you can answer that question without rerunning every test by hand. Publish an eval suite from the CLI, schedule it to run automatically, and track its performance over time in Context Studio .
Explore and share insights from Generative Apps
💬 Chat with Generative Apps Data apps are built to answer questions, but the best insights often lead to new ones. Explorers can now chat with published Generative Apps to ask follow-up questions, investigate metrics, and keep exploring in an agent Thread without leaving the app.
Chart controls and easier collaboration
🎨 Generative chart controls Previously, even small edits to your charts in generative apps required new prompts to the agent. Now, you can build custom, code-generated apps with the Hex Agent, and then use the Style panel to make point-and-click chart polishes.
See how your team uses the agent
🗂️ Agent activity classifications Where someone opens the agent doesn’t tell you much about what they’re working on. People often explore data in a notebook, and a thread that starts as a quick question can end with a finished app. Context Studio now categorizes agent activity by what they’re for, not where they started.
Semantic projects via CLI
⌨️ Semantic projects via CLI Pull your semantic spec out of Hex and into your repo, for local development and source control. This makes it easier to audit context or track what's changed.
Start building an app right from your conversation
🤖 Quickly toggle from chat to notebook Previously, you needed to wait a minute for Hex to convert your Thread to a notebook, now it happens automatically. After starting a conversation with the Hex Agent, you can easily switch views and build in the underlying notebook.
Tune how the agent runs
⚡ Fast mode Need an answer now ? Flip on fast mode in the model picker to push Opus models to 2.5x faster token output, at increased usage. The boost is most dramatic on long blocks of pure token output: big explanations, large blocks of code, or heavy reasoning.
🧪 Introducing Evals
🧪 Introducing Evals Measure Hex Agent performance and test context changes safely before they ship, all from the CLI. If you've added a guide or tweaked a semantic model, Evals helps you measure whether it actually helped , before you publish. To do that, define a suite of test questions with expected outcomes and run them against the Hex Agent.