Blog

product updates

28 May 2026

Schedule your nao analytics agents to run in the background. Recurring reports, conditional alerts, and a new Feed to track all agent activity.

Buyer's Guide

22 May 2026

Three open-source projects for agentic analytics, tested on the same BigQuery question. Setup, accuracy, context approach, and which to pick.

product updates

22 May 2026

nao MCP now renders interactive charts and stories directly inside your AI agent. Same nao UI, no tab switch.

product updates

20 May 2026

nao Enterprise gives data teams SSO, row-level security, branded UI, and implementation support - while staying open source at the core.

product updates

12 May 2026

nao now exposes itself as an MCP server. Run governed analytics from Claude, Cursor, Codex, or any MCP-compatible tool.

product updates

11 May 2026

nao is becoming the first headless analytics agent - your company data brain, everywhere you work. No dashboard needed.

product updates

30 April 2026

nao Enterprise now supports Microsoft Entra ID SSO in general availability, with identity-preserving runtime queries for teams using Azure AD federation.

product updates

29 April 2026

Five open-source skills that set up your nao project, write its rules, build its test suite, audit it, and add a semantic layer. Install with `nao skills add getnao/nao`.

Community

08 April 2026

Recap of the first meetup dedicated to agentic analytics: 4 data teams from Gorgias, Malt, GetAround, and The Working Company share what they've actually built, what worked, and what didn't.

insights

07 April 2026

How to go from the semantic layer answering no questions to 82% reliability on a wide business range - 4 steps with real benchmark data.

Technical Guide

1 April 2026

A practical guide to data modeling for AI agents, with clear rules to optimize for precision, reliability, and better chat-with-data performance.

Product

24 March 2026

Stories turn a chat with your data into a shareable, editable, versioned report. Watch the launch demo and read how it works.

insights

20 March 2026

A practical 7-step guide for data teams to build a context stack that improves analytics agent reliability, speed, and cost control.

guides

19 March 2026

A summary of 3 context engineering studies on analytics agents: what actually moves reliability, whether a semantic layer is worth it, and how to set up a testing and monitoring framework.

Buyer's Guide

16 March 2026

A practical guide to choose the best option for you to deploy an analytics agent.

Technical Guide

12 March 2026

A practical step-by-step guide to set up an AI analytics Slack bot with an open source framework so your team can chat with data directly in Slack.

Technical Guide

12 March 2026

A step-by-step guide to set up an AI analytics Microsoft Teams bot with an open source framework so your team can chat with data directly in Teams.

Technical Guide

11 March 2026

A practical case study on how context engineering, dbt documentation, and data-model fixes improved an analytics agent from 45% to 86% reliability.

Technical Guide

5 March 2026

A practical 7-step framework to build your in-house analytics agent fully with open source tooling, from context engineering to evaluation and rollout.

Technical Guide

3 March 2026

A practical 5-step setup guide to deploy an analytics agent on dbt MCP with nao, from choosing the right MCP to rolling out chat with data across your company.

Technical Guide

2 March 2026

A practical 5-step guide to turning your team into an AI-first data team with context engineering, open source analytics, and chat with data workflows.

insights

27 February 2026

A practical 7-step guide for data teams to design, organize, and test skills that improve analytics agent reliability and chat-with-data outcomes.

insights

26 February 2026

A step-by-step guide to evaluating your analytics agent's reliability using nao's built-in unit test framework — from writing your first test to running the visual dashboard.

insights

24 February 2026

We tested MetricFlow semantic layers against a plain rules.md file to measure the real impact on analytics agent reliability, cost, and speed. Here's what the data says.

insights

21 February 2026

We tested schema, data sampling, profiling, dbt repos, and rules.md to find which context pieces actually improve analytics agent reliability. Here's what the data says.

product updates

18 February 2026

Compared 5 open source analytics agents on SQL accuracy, context depth, and production readiness. Find the right stack for your data team.

vision

14 February 2026

Analytics agents won't scale without a proper context stack. Here's why context engineering needs its own open framework — and what that framework looks like.

product & vision

12 February 2026

Open source isn't a marketing strategy. It's the only way to build trust in analytics agents — and the only way context engineering matures as a discipline.

Industry Trends

5 February 2026

Why natural language interfaces are displacing traditional BI dashboards - and how to prepare your data warehouse for this shift

Technical Guide

4 February 2026

A complete guide to building reliable AI agents for data analytics - from context engineering to production deployment

Benchmarks

3 February 2026

Full benchmark of 20 AI analytics agents on accuracy, cost, context depth, and data team UX. Warehouse-native tools, AI-native BI, and open-source agents compared.

use cases

9 October 2025

Learn Git essentials for data professionals, including practical workflows and how AI can help automate version control for SQL, Python, and data projects

data news

5 October 2025

A comprehensive guide to choosing the right data stack for your company's stage and data maturity.

use cases

1 September 2025

Learn to set up dbt Core in 2026: install the CLI, write staging and fact models on BigQuery, add tests, and use AI to build 10x faster.