Claude

Definition

Claude coverage in this archive spans 3 posts from Mar 2023 to Jun 2024 and treats claude as a production discipline: evaluation loops, tool boundaries, escalation paths, and cost control. The strongest adjacent threads are anthropic, ai, and llm. Recurring title motifs include claude, sonnet, mid-tier, and model.

What the archive argues

• The archive repeatedly argues that claude only creates leverage when it is wired into an existing workflow.
• The consistent theme from 2023 to 2024 is disciplined execution over hype cycles.
• This topic repeatedly intersects with anthropic, ai, and llm, so design choices here rarely stand alone.

Execution checklist

• Define quality gates up front: eval sets, guardrails, and explicit rollback criteria.
• Start with the newest post to calibrate current constraints, then backtrack to older entries for first principles.
• When boundary questions appear, cross-read anthropic and ai before committing implementation details.

Common failure modes

• Shipping agent behavior without hard boundaries for tools, data access, and approvals.
• Optimizing for model novelty while ignoring reliability, latency, or cost drift.
• Applying guidance from 2023 to 2024 without revisiting assumptions as context changed.

Suggested reading path

• Start here (current state): Claude 3.5 Sonnet: The Mid-Tier Model That Changes the Math
• Then read (operating middle): Claude 3 First Impressions: Three Models, One Decision Framework
• Finish with (foundational context): Claude vs GPT: A User’s Honest Take

Related posts

• Claude 3.5 Sonnet: The Mid-Tier Model That Changes the Math
• Claude 3 First Impressions: Three Models, One Decision Framework
• Claude vs GPT: A User’s Honest Take

References

• The Twelve-Factor App
• Google SRE Book
• RFC 9110: HTTP Semantics