Sitemap
Complete index of all content on uatgpt.
Pages
Guides
- AI Model Comparison — GPT-4, Claude, Gemini, Llama, Mistral — what each model actually excels at, where it fails, and what it costs. Updated reference table.
- Prompt Engineering Guide — Practical patterns for getting better results from AI models. Not theory — tested techniques with examples that work across GPT-4, Claude, and Gemini.
Articles
AI Model Comparison
- AI Model Benchmarks That Actually Matter — Beyond MMLU and HumanEval
- AI Model Pricing Decoded — Cost Per Million Tokens Across GPT-4o, Claude, Gemini, and Llama
- Choosing the Right AI Model for Your Task — A Decision Framework
- Context Window Comparison — What 128K, 200K, and 1M Tokens Actually Means for Your Workflow
Prompt Engineering Guide
- Chain-of-Thought vs. Direct Prompting — When Reasoning Steps Actually Help
- Output Formatting Control — JSON, Markdown, CSV, and Structured Responses
- How to Cut AI API Costs by 60-80% Without Losing Quality
- Temperature and Top-P Explained — How Sampling Parameters Change Your Output
- Token Optimization — How to Get the Same Output Quality at 40% Lower Cost
- System Prompt Patterns That Actually Work
Tools
- AI Token Counter — Estimate token count and API cost across GPT-4, Claude, and Gemini.