# Daily practice (team)

Weekly: review agent/eval dashboards, share one win + one failure. Monthly: re-test prompts against new models, prune dead automations, update the knowledge base. Quarterly: re-run the build-vs-buy math — the frontier moves fast enough to flip decisions.

Canonical: https://robauto.ai/learn/ai-architecture/16

_Advanced AI Architecture: Strategy, Stack & Daily Practice — lesson 16 of 20 (PLAYBOOK)_

Weekly: review agent/eval dashboards, share one win + one failure. Monthly: re-test prompts against new models, prune dead automations, update the knowledge base. Quarterly: re-run the build-vs-buy math — the frontier moves fast enough to flip decisions.

Source: [McKinsey — high performer practices](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai?utm_source=robauto)

[Previous lesson](/learn/ai-architecture/15) · [Next lesson](/learn/ai-architecture/17) · [Course overview](/learn/ai-architecture) · [All courses](/learn)

---

(c) 2026 Robauto, Inc. — support@robauto.ai
Machine surfaces: https://robauto.ai/llms.txt · https://robauto.ai/llms-full.txt · https://robauto.ai/.well-known/api-catalog
