AI & Analytics Content
Discover the latest insights, guides, and podcasts in AI and analytics.
This content hub covers the practical side of AI adoption for data analytics teams — from hands-on tutorials on MCP (Model Context Protocol) servers and Cursor IDE workflows to expert podcast episodes and step-by-step playbooks. Articles focus on real patterns analysts use: writing production-grade SQL with AI, automating exploratory data analysis, connecting BI tools to large language models, and building context layers that make AI output consistent and trustworthy. The Analytics Workflow Playbook walks through a complete 7-step AI analytics process that cuts analysis cycles from two days to 2.5 hours using Cursor Rules, Claude Skills, and MCP servers. New guides and podcast episodes are added weekly by Nimrod Fisher and guest contributors from the analytics community.
by Nimrod Fisher
11/24/2025
5 min read
The Three Elements Your AI Analytics Copilot Needs to Be Accurate
Why analytics copilots fail without aligned Access, Instructions, and Context - and how combining them unlocks accurate, trustworthy AI analytics inside tools like Cursor, VS Code, and Cline.
by Nimrod Fisher
11/05/2025
10 min read
Build a “Chat with Your Data” App in Streamlit
One-page Streamlit app: ask in natural language → generate safe PostgreSQL → run → visualize with Plotly → summarize insights with OpenAI. Includes data context so the model knows your schema and rules.'
by Nimrod Fisher
10/26/2025
8 min read
The 3 Context Layers for AI-Powered Analytics: The Accuracy Drivers
Discover the three critical context layers (Data, Business, Usage) that transform LLMs from unreliable guesses to accurate AI analytics. Learn why context is your missing competitive advantage.
by Nimrod Fisher
10/23/2025
6 min read
Building AI-Ready Metadata: A Practical Implementation Guide to Context Layers
Step-by-step guide to implementing Data Context, Business Context, and Usage Context for AI analytics. Tools, processes, and best practices to make metadata maintenance a daily habit.
by Nimrod Fisher
10/14/2025
12 min read
ChatGPT vs Claude vs Gemini for Analytics: Which AI Model Wins in 2025?
Compare ChatGPT, Claude, and Gemini for analytics tasks. SQL generation, coding, EDA, pricing, and performance benchmarks for data teams.
by Nimrod Fisher
02/04/2026
3 mins
Mastering the Context Window: How to Reduce AI Hallucinations and Optimize the Analytics Workflow
A practical guide to mastering the AI context window for Analytics teams. Discover how agentic orchestration reduces engineering lead time by 50% and ensures high-fidelity results in the 2026 ROI-driven AI landscape.
Building with AI: Promises and Heartbreaks
"Building with AI: Promises and Heartbreaks" is a video podcast hosted by Yoni Leitersdorf, CEO & Co-Founder of Solid. In each episode, we sit down with builders, data and analytics leaders, engineers, product leaders and startup founders, who are creating AI-powered solutions. Our conversations explore what worked, what didn't, and what they wish they knew before they started. While the majority of guests come from data and analytics, we also welcome innovators from other industries where AI is changing the game.
Explore our comprehensive playbooks designed to guide you through real-world analytics workflows. Each playbook includes video tutorials, code templates, and hands-on exercises.
The Ultimate AI-Powered Analytics Workflow
Master the complete analytics workflow from data quality to professional deliverables. Learn how to use Supabase MCP (Access Layer), GitHub MCP (Context Layer), and Cursor rules & skills (Instructions Layer) to streamline your analytics projects.