# A list of articles on how data teams built their analytics agents > Source: > Published: 2026-09-10 08:08:17+00:00 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.