Prompt Engineering for Business Performance - Summary

Executive Summary

• Core Value: Effective prompt engineering optimizes Claude's outputs, reduces deployment costs, and ensures on-brand customer experiences.
• Proven Impact: A Fortune 500 company used these techniques to build a Claude-powered assistant that answers customer questions with enhanced accuracy and speed.

Key Benefits of Effective Prompting

• Accuracy: Further reduces the risk of inaccurate outputs (hallucinations).
• Consistency: Ensures consistent quality, formatting, relevance, and tone for end-users.
• Usefulness: Delivers targeted experiences for specific audiences, industries, and personas.
• Cost Savings: Minimizes unnecessary back-and-forth, saving money at scale.

Three Core Prompting Techniques

Foundational Principle: Treat Claude like a new intern—provide clear, explicit instructions with all necessary detail. Approach prompt engineering scientifically: test and iterate often.

1. Step-by-Step Thinking

• Technique: Simply instruct Claude to "think step by step" after giving a task.
• Example Prompt:

  "Here is the information a customer provided for an automotive insurance claim. Based on our policy documents and the customer's profile, does this claim meet our requirements for qualification? Think step by step in tags."

2. Few-Shot Prompting

• Technique: Provide realistic, specific examples of inputs and ideal outputs, including challenging edge cases.
• Example Prompt (PII Redaction):

  You are an expert redactor. I am going to provide you with some text. Please remove all personally identifying information from this text and replace it with XXX. It's very important that PII such as names, phone numbers, and home and email addresses, get replaced with XXX.
  
  Here are two synthetic examples of how this should be done:
  
  My name is Jacob LaPont. My email address is jlp@geemail.com and my phone number is 555-492-1902. I am 43 years old. My account ID is 52777930. The output should be: My name is XXX. My email address is XXX@XXX.XXX and my phone number is XXX. I am XXX years old. My account ID is XXX. Bo Nguyen is a cardiologist at Mercy Health Medical Center. He can be reached at 925-123-456 or b@mercy.health. The output should be: XXX is a cardiologist at Mercy Health Medical Center. He can be reached at XXX-XXX-XXXX or XXX@XXX.
  
  Now here is the text I'd like you to redact:
  
  The customer's name is Steven Smith with Customer ID 44201312. His email address is steven.smith@geemail.com, or reach him via telephone at 555-182-9942.
  

3. Prompt Chaining

• Technique: Break complex tasks into multiple sequential prompts. Each new prompt includes previous prompt-response pairs to build context.
• Example Use Case: For explaining tax situations, chain prompts to: 1) list relevant tax codes, 2) identify relevant sections, 3) formulate a final answer.

Case Study: Fortune 500 Customer Assistant

• Goal: Build a friendly, concise chatbot (using Claude Instant) to answer complex customer questions quickly and accurately.
• Initial Challenge: Early deployments fell short on accuracy.
• Solution: Anthropic prompt engineers partnered with the company's subject matter experts (SMEs).
• Key Techniques Applied:
  • Using a scratchpad (e.g., <scratchpad> tags) for Claude to show its work (hidden from users).
  • Providing few-shot examples of good answers in the desired format/style.
  • Directing Claude to use specific data points and workflows recommended by SMEs.
• Result: 20% improvement in accuracy, faster time-to-market, and lower cost.

Getting Started

• Key Insight: There is no single best technique; every LLM is different. The field is evolving.
• Essential Practice: Prompt engineering should be a collaborative effort between prompt engineers and subject matter experts.
• Next Steps: Read Anthropic's prompt engineering guide or contact their sales team.