📋 Full Prompt

Solve [complex problem/task] using the Tree of Thoughts approach. Step 1: Generate 3 possible approaches (branches). Step 2: Evaluate each branch as "High/Medium/Low" promise. Step 3: Select the most promising branch and explore 3 more ideas from it. Step 4: Follow the optimal path to present the final solution.

💬 Input Example

Problem: Launch a SaaS product within 6 months with a small team.

✨ Output Example

Branch 1: MVP-first strategy [Promise: High] Branch 2: Full build then launch [Promise: Low] Optimal path: MVP → fast user feedback → iterative improvement

🏷️ Tags

#prompt engineering#reasoning#decision making

💡 Usage Tips

✅Replace the variables in brackets ([]) with your specific situation.
✅Specify the desired tone and length of writing for more accurate results.
✅Request additional modifications based on the generated output to improve quality.
✅Specifying a particular audience allows AI to adjust vocabulary and explanation level.

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AI writing prompts let you efficiently produce blog posts, business emails, press releases, novels, and more. The key is to assign AI a precise role, and clearly specify the desired tone, length, and target audience. For example, requesting "write a 2000-word SEO-optimized blog post in a professional tone" yields significantly higher-quality output. After generating a draft, iterative feedback helps elevate the final quality step by step.

This prompt belongs to the Learning category, optimized for Claude at a Advanced level. It is systematically designed applying core prompt engineering principles: role assignment, context setting, and constraints.

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