Getting Started
From zero, and the principles to align on first.
Where should we start from zero?
Canonical datasets + a few dozen offline evals + one thin knowledge skill capture most of the upside. You don't need the whole stack to launch.
How much does current accuracy matter vs. future improvement?
Decide up front. It changes how much you invest in validation before launch versus iterating in production.
How much business complexity should we expect to grow into?
Anticipated complexity drives how much you invest in the semantic layer and business context graph now.
How technical is the intended audience?
A more technical audience tolerates raw fields and caveats; a business audience needs governed, unambiguous answers.
What's our budget for accuracy?
Adversarial validation buys about +6% accuracy but costs +32% tokens and +72% latency. Decide whether that trade is worth it per domain.
How comfortable are we with data access controls?
Your comfort with access controls sets the boundary of what the agent may read — and shapes the safeguards you need.