Claude Sonnet 5 is best treated as an agent workflow model. See specs, setup steps, guardrails, examples, and review checks for safer production use today.
Key takeaways
- Use it first on bounded workflows where planning, tool use, and review checkpoints matter more than one-shot text generation
- Recheck token budgets before migration: Anthropic's Platform Docs say the model has a 1M token context window and 128k max output tokens, while the new tokenizer produces approximately 30% more tokens for the same input text
- Keep tool permissions narrow until the workflow passes evaluation on real examples, including failure cases and rollback checks
- Measure review burden, latency, token spend, skipped steps, and unsupported claims, not only final answer quality
- Move to production only when human review effort decreases without increasing customer, revenue, compliance, or infrastructure risk
📖 Read the full guide on Van Data Team → Claude Sonnet 5: a practical guide for production teams
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