AI Model Guides
Each AI model has distinct strengths, quirks, and optimal prompting patterns. These guides cover what makes each model unique and how to get the best results from it.
How to Prompt Claude: The Definitive Guide
Claude responds uniquely well to XML tags, honest instruction, and clear reasoning explanations. Learn the prompting patterns that work best with Anthropic's Claude 3.5, 3.7, and Claude 4.
How to Prompt GPT-4o: Patterns That Actually Work
GPT-4o excels at function calling, structured outputs, and multimodal tasks. Here's what distinguishes it from other models and how to get the best results.
How to Prompt Gemini 2.0: Long Context, Multimodal, and Grounding
Gemini 2.0 excels at extremely long-context tasks and native multimodal reasoning. Here's how to prompt it effectively, including grounding, code execution, and the 1M-token window.
How to Prompt LLaMA 3: Local Inference and Ollama Setup
LLaMA 3 from Meta is the most capable open-source model family available. Here's how to run it locally with Ollama, write effective prompts, and when to use it over hosted APIs.
How to Prompt Mistral: Instruct Format, Efficiency, and API Tips
Mistral's model family balances strong performance with exceptional efficiency. Learn the instruct format, how to use the Mistral API, and when each model in the family fits best.
Claude vs GPT-4o vs Gemini vs LLaMA: Which Model for Which Task?
A practical comparison of the leading AI models for coding, writing, analysis, long context, and cost. No benchmarks — just honest trade-offs for real-world use cases.
Not sure which model to use?
The comparison guide breaks down Claude, GPT-4o, Gemini, and open-source models side by side.
See the comparison