Look it up. Get back to work. Every AI Cheat Sheet in one place
Quick reference guides for AI tools, AI models, prompts, APIs, workflows, automation, frameworks, and development.
Prompt Engineering Cheat Sheet
Prompt EngineeringAnatomy, patterns, templates and common mistakes — everything you need to write a prompt that wo...
Open sheetChat Completions API Cheat Sheet
AI APIsParameters, auth, streaming, rate limits and error handling for chat completion APIs — with copy...
Open sheetSystem Prompt Patterns Cheat Sheet
Prompt EngineeringRole, capability, constraint, format and refusal blocks — the reusable skeleton of a system prom...
Open sheetAnthropic Messages API Cheat Sheet
AI APIsRequest fields, the alternating user/assistant rule, streaming event types, tool-use round trips...
Open sheetLLM Sampling Parameters Cheat Sheet
AI Modelstemperature, top_p, top_k, presence and frequency penalties, stop sequences and seed — ranges, d...
Open sheetModel Context Protocol (MCP) Cheat Sheet
MCPThe three server primitives, transport options, the initialise handshake, and how MCP tools diff...
Open sheetAI Agent Patterns Cheat Sheet
AI AgentsChains, routers, ReAct loops, planner-executor, multi-agent and reflection — compared on cost, l...
Open sheetChunking Strategies Cheat Sheet
RAGFixed, recursive, semantic and structural chunking compared, with sizes, overlap guidance and th...
Open sheetAI Chat Assistant Comparison Cheat Sheet
AI ToolsFile handling, web access, code execution, memory, integrations and data-retention posture — the...
Open sheetPrompt Chaining Cheat Sheet
AI WorkflowsChain topologies, where to split, how to pass state between steps and how to stop errors compoun...
Open sheetBrowse Cheat Sheet Categories
Every reference sheet in the library, grouped by the subject you are actually looking up.
Prompt Engineering
Patterns, structures and templates that get better output from any model.
4 sheetsAI Models
Context windows, pricing, strengths and limits of the major models.
3 sheetsAI Tools
Fast reference for the tools people use every day.
1 sheetAI APIs
Endpoints, parameters, auth and error codes.
3 sheetsAI Workflows
End-to-end automation patterns you can copy.
1 sheetAI Agents
Agent loops, tool calling, memory and planning.
2 sheetsAI Coding
Pair-programming prompts and code-generation patterns.
1 sheetAI Automation
Triggers, actions and glue between services.
1 sheetPython
Syntax and library references for AI work in Python.
2 sheetsJavaScript
JS and TypeScript references for AI apps.
1 sheetMCP
Model Context Protocol servers, tools and transports.
1 sheetRAG
Retrieval-augmented generation: chunking, embedding, reranking.
3 sheetsLangChain
Chains, agents and runnables.
1 sheetLlamaIndex
Indexes, retrievers and query engines.
1 sheetSQL
Query patterns for analytics and vector stores.
1 sheetNode.js
Server-side JS for AI services.
1 sheetLaravel
PHP framework references.
1 sheetSEO
Technical and content SEO references.
1 sheetMarketing
Campaign, copy and channel references.
1 sheetProductivity
Shortcuts and workflows that save time.
1 sheetWhat makes a good AI Cheat Sheet?
Condensed, checkable reference for the things you look up rather than read — kept short enough to scan and current enough to trust.
Built to be scanned
A cheat sheet is not a tutorial. Every page here is a lookup surface — tables, commands and patterns you jump into the middle of.
Accurate or absent
Nothing on these pages is filler. A reference that is wrong is worse than one that does not exist, so we publish less rather than pad.
Yours to keep
Every sheet exports as Markdown, HTML or a PDF whose text stays selectable and searchable. No account, no paywall.
Dated honestly
The revision date moves only when a person edits the content — never because the page was viewed or re-saved.
Levelled clearly
Difficulty is shown with pips as well as colour, so the level reads the same whether or not you can distinguish the hues.
Linked to the real thing
Related tools, models and guides point at live catalogue entries, not at invented references.
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