Welcome to the latest Preset news! The future of AI analytics is open source. We shipped Preset Agent Skills, the newest release in the Preset AI suite with Preset Chatbot and Preset MCP, all powered by Apache Superset™. Scroll on for the launch, upcoming live demos, fresh reads from the blog, and where to meet Team Preset out and about this summer.

New Release · Open Source
Preset Agent Skills: open-source skills that give AI agents Apache Superset expertise

Your AI agent writes great code, but it simply doesn't know your workspace out of the box. It can trip up on things like which API exports versus overwrites a chart, when to stop and confirm, or what not to touch in production. Preset Agent Skills is an open-source library that gives any AI data agent the judgment of a seasoned Superset data engineer. It works with Claude, Cursor, GitHub Copilot, Gemini, and Codex, and installs in under five minutes.

Join us online or IRL

Summer Events 

Jul 29 ・ via Zoom

When metrics are defined in a semantic layer, AI tools know where to look. Join Preset experts for a deep dive on Semantic Layers in Apache Superset.

Aug 31–Sept 2 ・ Austin

Save your spot to see Founder & CEO Max Beauchemin give a talk about his latest open source project, Agor. Stop by the Preset booth, too!

Sep 15–18 ・ Las Vegas

Viva dbt Summit 2026! Swing by the Preset booth and chat the future of open source AI, BI, and agentic orchestration with the Preset team. 

Keep Reading

Updates from the Preset Blog

Building & Benchmarking Preset Agent Skills

Software Engineer Richard Fogaça wrote a deep dive on how skills beat a bare agent on 30 of 31 real Preset tasks, and why drift in "safe" is the real cost.

Meet DatAgor: Our In-House AI Data Engineer

How Preset built an AI data engineer to do real analytics engineering work, and what it taught us about agents in production.

Meet Preset Chatbot: Governed Conversational Analytics

Ask questions in plain English and get charts, dashboards, and insights, grounded in your semantic layer and security model, so you can take action that fuels your business, faster.

What's New in Superset 6.1

An AI-ready MCP service, a matured extensions framework, a global task framework, and four new database connectors, built by 136 contributors.

The Rise of the AI Enablement Engineer

A new role is emerging on data teams. Here's what AI enablement engineers do and why they matter in 2026, from Preset's Founder & CEO.

Why Your Data Stack Costs Keep Rising

Your data stack just got more expensive. Your BI doesn't have to. If you're a data leader budgeting for next year, read Sebastien LeMenager's latest blog for a tip we tell every CFO. 

Preset Talks and Podcasts

Watch & Listen

Want to host Preset on your Podcast or at your conference? Drop us a line!

Anatomy of Our Internal Data Agent

Max on the Joe Reis Podcast

ODSC x AI: Open-Source AI Analytics

Data Renegades, Ep. 12

Get on the release train

Superset Community

Apache Superset keeps getting leaner and meaner. We welcomed 136 contributors and 1,500+ pull requests in our latest 6.1 release. The repo has been buzzing as we've resolved/merged about 1/3 of the open issues and pull requests that existed last month. We've just opened the doors for pre-approved major changes, as we begin work on Superset 7.0, so expect more news soon. Check out the Superset Calendar to get involved in any of the above. 

Help more data teams find open-source analytics: Add your name/logo to Superset's "In the Wild" page, and email us about how you use Preset and Superset if you'd like to provide a testimonial or be featured in a case study blog. Last but not least, help Preset grow by adding your review on G2:

Until next time,

The Preset Team