Hex Magic AI

What is Hex Magic AI?

Hex Magic AI is the AI assistant built into the Hex platform. It auto-completes SQL queries, helps build charts, fixes code bugs, and offers coding advice based on your project’s context, your SQL habits, and your schemas. It also supports Python scripting, making complex Python packages more approachable. On privacy, Hex Magic keeps your data secure, does not use your information to train its models, and stores metadata safely within its system.

Who created Hex Magic AI?

Hex Magic AI comes from Hex Technologies, Inc. The company’s goal is to improve how people work with data, and Hex Magic is its AI tool for that purpose — built to speed up data analysis by automating SQL query writing, chart creation, bug fixing, and tailored code help based on how you write SQL and what your project needs.

What is Hex Magic AI used for?

Hex Magic AI helps with a range of data work tasks:

• SQL joins: Auto-completion of joins.
• Date filters: Help writing complex date filters.
• Quick questions: Answers to simple, context-specific questions.
• Predictive models: Assistance building them.
• Visualizations: Creating complex charts and graphs.
• Syntax help: Support with obscure syntax.
• Error fixing: Resolving common coding errors, with one-click fixes for frequent mistakes.
• Pandas: Easier work with Pandas.
• Debugging: Handling tricky bugs.

Who is Hex Magic AI for?

The tool suits anyone working with data, including data analysts, data scientists, data engineers, software developers, BI analysts, and data managers.

Key capabilities in practice

• SQL and Python/R support: Type SQL or Python into Hex’s cells; the tool understands your warehouse schemas and personal SQL style to help write accurate queries. It also assists with R, uncommon syntax, error fixing, predictive models, and visualizations.
• Debugging: Use the debugging features for tough bugs, with one-click solutions for common coding errors.
• Code understanding: Hex Magic can explain code and add documentation, helping you understand both your own code and external code you’re using.
• Workflow automation: An automation layer streamlines writing queries, building charts, and fixing bugs, working at the notebook level where you can chain cells together.