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**AI for Feedback & Critique** **Overview** One of the most valuable uses of LLMs is as an objective, tireless critic. AI can analyze your writing, code, or business ideas and provide constructive feedback to improve them. **Critique Prompts** **1. The "Devil's Advocate"** *Prompt*: "I am planning to launch a subscription box for cat toys. Act as a skeptical venture capitalist. What are the top 3 reasons this business might fail?" **2. The Clarity Check** *Prompt*: "Read this email to my boss. Rate its clarity on a scale of 1-10. Rewrite it to be more concise and professional." **3. Code Review** *Prompt*: "Review this Python function for: 1. Performance issues, 2. Security vulnerabilities, 3. PEP8 compliance." **Techniques** - **Role Prompting**: "Act as a Senior Editor." - **Chain of Thought**: "Analyze the argument step by step before giving a final score." - **Comparative Feedback**: "Here are two versions of the intro. Which is better and why?" **Limitations** - **Bias**: AI tends to be overly polite ("This is great! Just one small thing..."). You often need to prompt it: "Be harsh. Don't hold back." - **Factuality**: It cannot verify facts in your document, only logic and style. - **Context**: It doesn't know your company culture or personal history unless you tell it. Using AI as a "second pair of eyes" detects blind spots before you hit send.