Free resources
AI Analytics Hub — by Nimrod Fisher
What I publish for people working with AI and data: articles, guides, open-source projects, directories and weekly updates. Free to read, no account needed.
- Articles and insightsWhat I learn from building with agents, context and data, written up as practical articles.
- Guides and playbooksStep-by-step guides, starting with the analytics workflow playbook.
- Open-source projectsSkills, context layers and tracing tools you can use and change.
- MCP and platform directoriesMCP servers that connect AI models to your data and tools, and conversational analytics platforms.Analytics platforms
- Weekly updatesA roundup of AI releases across data platforms, published most weeks. Free to read.
I also build AI systems for companies and advise teams that build their own. See how we can work together.
AI Analytics Hub is the free resources section of Nimrod Fisher's site. It covers the practical side of AI for data and analytics work: hands-on guides to MCP (Model Context Protocol) servers and agent workflows, podcast episodes, step-by-step playbooks such as the Analytics Workflow Playbook, a directory of MCP servers and conversational analytics platforms, open-source projects, and weekly updates on AI releases across data platforms.
by Nimrod Fisher
08/27/2026
5 min read
Data Agents for Analytics Teams: How to Stop Shipping Chatbots
Why analytics chatbots fail in production, how agents differ from a tools listing, and the Access + Context + Instructions workflow that makes output trustworthy.
by Nimrod Fisher
08/27/2026
5 min read
Skills vs MCP vs Agents for Data Teams: What You Actually Need
Learn why data teams should stack MCP, skills, and agents instead of picking a winner — access, playbook, and worker, with a human check on the metric.
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.