ChatGPT Guides & Templates for Teams

What’s inside

Markdown (.md) · 83 sections · about 11,315 words

• Table of Contents
• Unlocking Prompt Engineering: Crafting Queries That Get Results
• 1. Define the Goal Explicitly
• 2. Structure the Request with Clear Sections
• 3. Provide Contextual Anchors
• 4. Use “Show, Don’t Tell” for Format Preferences
• 5. Iterate with Targeted Refinements
• 6. Leverage System‑Level Instructions
• 7. Combine Multiple Objectives with Delimiters
• 8. Guard Against Hallucinations
• 9. Optimize for Token Efficiency
• 10. Test Prompt Variants Systematically
• Putting It All Together: A Prompt Blueprint
• Advanced Data Extraction: Turning Unstructured Text into Actionable Insights
• 1. From Narrative to Table: Prompt Patterns that Yield Structured Output
• 2. Chaining Calls for Complex Extraction

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