Selecting the Right Claude Model
Explore how to choose the right Claude model for different tasks by assessing capability, latency, and cost. Understand why model selection varies per task within an architecture and avoid common anti-patterns. Gain the skills to match model tiers to specific requirements to optimize performance, cost, and quality in AI systems.
Every task in Atlas’s architecture now has a pattern. Document intake is an augmented LLM. Policy checking is a fixed workflow. The borderline-application investigator is an agent. None of that says which Claude model actually powers any of these calls, and that is a separate decision with its own trade-offs, made per task rather than once for the whole system. ...