A list of articles on how data teams built their analytics agents

A curated GitHub list from GetCassis compiles articles on how data teams built analytics agents, led by Anthropic's June 2026 post on enabling self-service data analytics with Claude, OpenAI's January 2026 writeup on its in-house data agent architecture, and Ramp's October 2025 guide to building an analyst agent on an existing dbt project. The collection organizes further reading notes by problem area — giving agents context, testing answers and model changes, fixing mistakes, reducing cost and latency, and driving adoption — and names Gorgias, AngelList, BlaBlaCar, LinkedIn, Uber, GitHub, Replit, Vercel, Alan, and Faire among the teams covered. Vendor implementations from Cube, Omni, and Cassis are also included.

A list of articles on how data teams built their analytics agents. Recommended first reads recommended-first-reads · Internal builds internal-builds · Browse by problem browse-by-problem · Related reading related-reading · Contribute /GetCassis/analytics-agent-articles/blob/main/CONTRIBUTING.md 1. Anthropic — How a team makes self-service analytics work. Skills, metric definitions, documentation, and evaluations https://claude.com/blog/how-anthropic-enables-self-service-data-analytics-with-claude Jun 2026 , including how the team keeps them current as data models change. 2. OpenAI — Inside an in-house data agent. The architecture behind context preparation, retrieval, permissions, and evaluations https://openai.com/index/inside-our-in-house-data-agent/ Jan 2026 . 3. Ramp — Building one around an existing dbt project. SQL and Jinja examples for context tables and domain documentation https://jaysobel.substack.com/p/building-an-analyst-agents-with-dbt Oct 2025 . Read an article directly from the right column, or click a company for its full reading notes. Dates are publication dates; stacks reflect what the authors used at the time. - Giving the agent context: Ramp /GetCassis/analytics-agent-articles/blob/main/reading-notes.md ramp , Gorgias /GetCassis/analytics-agent-articles/blob/main/reading-notes.md gorgias , AngelList /GetCassis/analytics-agent-articles/blob/main/reading-notes.md angellist , BlaBlaCar /GetCassis/analytics-agent-articles/blob/main/reading-notes.md blablacar , OpenAI /GetCassis/analytics-agent-articles/blob/main/reading-notes.md openai . - Testing answers and model changes: Gorgias /GetCassis/analytics-agent-articles/blob/main/reading-notes.md gorgias , Anthropic /GetCassis/analytics-agent-articles/blob/main/reading-notes.md anthropic , Ramp /GetCassis/analytics-agent-articles/blob/main/reading-notes.md ramp , LinkedIn /GetCassis/analytics-agent-articles/blob/main/reading-notes.md linkedin , Uber /GetCassis/analytics-agent-articles/blob/main/reading-notes.md uber . - Fixing mistakes and keeping context current: GitHub /GetCassis/analytics-agent-articles/blob/main/reading-notes.md github , Gorgias /GetCassis/analytics-agent-articles/blob/main/reading-notes.md gorgias , Replit /GetCassis/analytics-agent-articles/blob/main/reading-notes.md replit . - Reducing cost and latency: Gorgias /GetCassis/analytics-agent-articles/blob/main/reading-notes.md gorgias , Vercel /GetCassis/analytics-agent-articles/blob/main/reading-notes.md vercel . - Getting people to use it: Alan /GetCassis/analytics-agent-articles/blob/main/reading-notes.md alan , Faire /GetCassis/analytics-agent-articles/blob/main/reading-notes.md faire , Ramp /GetCassis/analytics-agent-articles/blob/main/reading-notes.md ramp , LinkedIn /GetCassis/analytics-agent-articles/blob/main/reading-notes.md linkedin . Product engineering, technical studies, and benchmarks that complement the internal builds. - Cube: Building an Agentic Analytics Harness https://cube.dev/blog/building-an-agentic-analytics-harness · Vendor implementation . Errors, result limits, and permission-aware tools. Stack and notes /GetCassis/analytics-agent-articles/blob/main/reading-notes.md cube . - Omni: Benchmarking Omni’s agentic analytics harness https://omni.co/blog/benchmarking-omnis-agentic-analytics-harness · Vendor implementation . Testing quality, latency, and cost on a vendor’s analytics workload. Stack and notes /GetCassis/analytics-agent-articles/blob/main/reading-notes.md omni . - Cassis: A blank beats a guess https://blog.getcassis.com/a-blank-beats-a-guess/ · Vendor implementation . Building the first context from existing data assets, with an open-source bootstrap kit. Stack and notes /GetCassis/analytics-agent-articles/blob/main/reading-notes.md cassis . - Cassis: Context engineering for analytics agents https://blog.getcassis.com/context-engineering-for-analytics-agents/ · Vendor implementation . How we structure tables, metrics, and business rules so an agent can find what it needs. Stack and notes /GetCassis/analytics-agent-articles/blob/main/reading-notes.md cassis . - Benchouse: The Analytics Agent Benchmark https://benchouse.ai/benchmark · Benchmark . Compare accuracy, completeness, restraint, and cost per question across analytics agents. Notes /GetCassis/analytics-agent-articles/blob/main/reading-notes.md benchouse . Know a team that has written up its internal build? Open an issue or pull request with the link and a sentence about what makes it useful. See the contribution guide /GetCassis/analytics-agent-articles/blob/main/CONTRIBUTING.md for the format. Corrections and broken-link reports are welcome too.