Guides

Learn the anatomy of a great system prompt: role definition, constraints, output format, and tone. Includes real-world examples for common use cases.

Discover when and how to use chain-of-thought prompting. Covers zero-shot CoT, few-shot CoT, and real examples showing where step-by-step reasoning dramatically improves accuracy.

Master few-shot prompting: how to select high-quality examples, format them correctly, and know when few-shot beats zero-shot. Includes patterns for classification, extraction, and generation tasks.

Write better prompts for Midjourney, DALL-E, and Stable Diffusion. Learn the anatomy of a visual prompt: subject, style, lighting, composition, and negative prompts.

Get better code from AI: specify language, constraints, architecture, and tests in your prompts. Covers patterns for generating, refactoring, debugging, and reviewing code.

Go beyond basic prompting with self-critique loops, iterative refinement, meta-prompting, and prompt chaining. Build AI workflows that improve their own outputs.

A complete walkthrough of fireflare: create your account, browse and save prompts, publish your first prompt, and build your profile. Everything a new user needs to know.

Learn what forking means on fireflare, when to fork vs. create from scratch, how attribution works, and best practices for building on others' prompts while respecting their work.

Learn how to create, curate, and share prompt collections on fireflare. Build topical libraries, collaborate with others, and use collections to grow your audience.

Learn how to write prompts for AI agents that use tools, function calling, and MCP servers. Covers structuring agent system prompts, tool definitions, and publishing agent prompts on fireflare.

Optimize your prompt titles, descriptions, and tags to maximize discoverability on fireflare and in search engines. Practical SEO and copywriting techniques for prompt authors.

Get the most out of Claude: XML tags for structure, extended thinking, artifacts, system prompt conventions, and tool use. The definitive guide for Claude-specific prompting.

Optimize your ChatGPT prompts with custom instructions, memory management, GPT-4o features, DALL-E integration, function calling, and practical tips for consistent, high-quality results.

Master Midjourney with aspect ratios, style parameters, prompt weighting, multi-prompts, and version differences. Practical reference for getting consistent, high-quality results.

Get more out of Cursor and AI code editors: .cursorrules setup, effective context management, multi-file editing, codebase-aware prompting, and patterns for different development tasks.

Get the most out of Google Gemini: multimodal input, grounding with Google Search, long context strategies, structured output, and model tier selection across Gemini 1.5 and 2.0.

Demystify temperature, top-p, and top-k sampling. Learn what these parameters actually do, how they affect output, and practical recommendations for different use cases.

Understand tokenization, context windows, and how different AI models handle long conversations. Learn practical strategies for working within token limits and comparing model capacities.

Understand retrieval-augmented generation (RAG): the architecture, when to use it, how it compares to fine-tuning, and prompt patterns for building effective RAG systems.

What AI agents actually are, how function calling works, planning loops, multi-agent architectures, and how to evaluate and safely deploy agent systems.