Course Wrap Up

Models & Access

• Anthropic offers Haiku (fast, smaller requests) and Sonnet (greater intelligence)
• Access Claude via API with adjustable parameters

API Parameters

• Temperature - controls creativity
• Stop sequences - define output boundaries
• Message prefilling - direct response format
• These parameters help control output and ensure expected results

Prompt Evaluation (Most Important Practice)

• Critical for ensuring prompts work in production, not just in testing
• Don't require complex frameworks or setup
• Can use Claude itself to generate evaluation frameworks
• Testing 10 times locally ≠ production readiness

Prompt Engineering Techniques

• Be clear and direct about expectations
• Tell Claude explicitly what you want

Tool Use

• Dramatically expands Claude's capabilities
• One of the more complex but important topics

Key Applications

• Claude Code - useful for authoring code and projects at the terminal
• Computer Use - hands-on capability for automation

Workflows vs. Agents

• Workflows often produce better results and higher accuracy than agents
• Agents are interesting but not always the optimal solution

Recommended Follow-Up Topics

• Agent orchestration (getting agents to work together)
• Agent performance evaluation and monitoring
• Agentic RAG (variation on retrieval-augmented generation)
• RAG evaluation techniques
• Tool evaluation (ensuring tool descriptions help Claude as intended)

Takeaways

• Prompt evaluation is critical for production readiness—testing locally doesn't guarantee real-world performance
• Workflows typically outperform agents in accuracy and results
• Tool use dramatically expands Claude's capabilities and is essential to master
• Temperature, stop sequences, and message prefilling are key parameters for controlling output behavior
• Choose between Haiku (speed) and Sonnet (intelligence) based on your use case requirements