The original title is "TL;DR — Claude Sonnet 5: a practical guide for production teams"

Short summary

Claude Sonnet 5 excels in bounded agent workflows rather than one-shot generation. Before production deployment, verify token budgets (1M context, 128k output with 30% more tokens than previous models), keep tool permissions narrow, and measure review burden, latency, and compliance risk—not just answer quality. Migrate to production when human oversight decreases without increasing customer or revenue risk.

• •Use Claude Sonnet 5 for agent workflows with guardrails, not open-ended generation
• •Verify token budgets (1M context, 128k output; expect 30% more tokens than previous models)
• •Measure review burden, latency, token spend, and risk—then move to production only when oversight decreases without adding risk

Generated with AI, which can make mistakes.