Cassis
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Overview
Cassis is the living context layer between your data and your business. Sharpened by every conversation, governed by your data team, fueling all your agents.
News
What breaks when you point an analytics agent at your dbt project
GitLab, Mattermost, Cal-ITP: 13 public dbt projects and 5,284 models. Here is the context their metadata still cannot establish for an analytics agent.
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Rules vs examples: how much does spelling things out help?
Rules, metrics, or worked examples? We measured which context representations shorten an LLM
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Context engineering for analytics agents: lessons from six months of building and rebuilding
Analytics agents need context. Great. How should you structure it? Lessons from six months of building, testing, and rebuilding it.
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The state of agentic analytics, from 50 real data teams
Field notes from 50+ conversations with data teams: the five stages of agentic analytics, what breaks at each, and what teams want next.
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The hard part of self-maintaining context for analytics agents
Context is now table stakes for analytics agents. The new problem is keeping it true as the business keeps moving.
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