Blog
Research, how-to guides, and product thinking for teams building reliable analytics agents.
Buyer's Guide
What's the Best Analytics Agent for Your Data Team?
16 March 2026
A practical guide to choose the best option for you to deploy an analytics agent.
Technical Guide
How to Set Up an AI Analytics Slack Bot with an Open Source Framework
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
How to Set Up an AI Analytics Teams Bot with an Open Source Framework
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
4 Steps to Improve Your Analytics Agent Reliability from 45% to 86%
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
How to Build Your In-House Analytics Agent Fully with Open Source
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
5 Steps to Deploy an Analytics Agent on dbt MCP to Your Whole Company
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
How to Build an AI-First Data Team
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
How Data Teams Build Skills for Agentic Analytics: 7 Practical Steps
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
How to Evaluate an Analytics Agent: A Practical Guide with nao test
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
What Is the Impact of a Semantic Layer on Analytics Agent Performance?
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
What Context Has the Most Impact on Analytics Agent Performance?
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
The 5 Best Open Source Analytics Agents in 2026
18 February 2026
A practical comparison of the 5 best open source analytics agents in 2026 — nao, Agno Dash, LangChain, LibreChat, and Vercel's knowledge agent template.
vision
Why data teams need an open framework for context engineering
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
Why we're making our Analytics Agent open source
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 Reasons Natural Language Analytics is Replacing Traditional BI Dashboards
5 February 2026
Why natural language interfaces are displacing traditional BI dashboards - and how to prepare your data warehouse for this shift
Technical Guide
How to Build Production-Ready AI Agents for Data Analytics: The Complete Guide
4 February 2026
A complete guide to building reliable AI agents for data analytics - from context engineering to production deployment
Benchmarks
Best 20 Analytics Agents in 2026
3 February 2026
We benchmarked 20 analytics agent solutions — from warehouse-native tools to AI-native BI and open-source agents — on accuracy, cost, context depth, and data team UX. Here's the full breakdown.
use cases
Basics of Git data analysts should learn
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
How to choose the right data stack
5 October 2025
A comprehensive guide to choosing the right data stack for your company's stage and data maturity.
use cases
How to set up dbt with AI - create your first dbt model without a single line of code
1 September 2025
Complete step-by-step guide to setting up dbt, creating your first models, and leveraging AI to accelerate your data transformation workflow