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 sheetRAG Pipeline Cheat Sheet
RAGStages, chunk sizes, retrieval parameters and the five failure modes of a RAG system — with fixe...
Open sheetTool & Function Calling Cheat Sheet
AI AgentsSchema design rules, the call/result round trip, parallel calls, and the description mistakes th...
Open sheetAI Pair Programming Cheat Sheet
AI CodingContext rules, the request patterns that work, review discipline for generated code, and the tas...
Open sheetTokens & Context Windows Cheat Sheet
AI ModelsToken estimation rules of thumb, what the context window includes, and the truncation strategies...
Open sheetFeatured Cheat Sheets
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 sheetTrending
RAG Pipeline Cheat Sheet
RAGStages, chunk sizes, retrieval parameters and the five failure modes of a RAG system — with fixe...
Open sheetAI Pair Programming Cheat Sheet
AI CodingContext rules, the request patterns that work, review discipline for generated code, and the tas...
Open sheetAI Productivity Workflows Cheat Sheet
ProductivityA delegation test, high-return workflows by role, and the verification each one needs before you...
Open sheetFew-Shot Prompting Cheat Sheet
Prompt EngineeringZero, one and few-shot compared, how to choose examples that generalise, and the ordering effect...
Open sheetTokens & Context Windows Cheat Sheet
AI ModelsToken estimation rules of thumb, what the context window includes, and the truncation strategies...
Open sheetTool & Function Calling Cheat Sheet
AI AgentsSchema design rules, the call/result round trip, parallel calls, and the description mistakes th...
Open sheetRecently Updated
Streaming LLM Responses Cheat Sheet
AI APIsServer-sent event flow, accumulating deltas safely, handling mid-stream errors and why partial J...
Open sheetChain-of-Thought Prompting Cheat Sheet
Prompt EngineeringCoT variants compared, where reasoning helps and where it hurts, and how to separate the thinkin...
Open sheetModern JavaScript Cheat Sheet
JavaScriptDestructuring, optional chaining, nullish coalescing, immutable array methods, Promise combinato...
Open sheetPython Async Cheat Sheet
Pythonasync/await syntax, gather vs as_completed vs TaskGroup, concurrency limiting with semaphores, a...
Open sheetEmbeddings Cheat Sheet
RAGDistance metrics compared, dimension trade-offs, when to normalise, and the asymmetry between a...
Open sheetAI Automation Design Cheat Sheet
AI AutomationTrigger types, idempotency keys, retry and backoff policy, human-in-the-loop checkpoints and the...
Open sheetBeginner Essentials
AI Chat Assistant Comparison Cheat Sheet
AI ToolsFile handling, web access, code execution, memory, integrations and data-retention posture — the...
Open sheetChoosing an LLM Cheat Sheet
AI ModelsThe dimensions that actually decide a model choice — latency, context, tool use, deployment, cos...
Open sheetPandas Cheat Sheet
PythonSelection, filtering, missing data, groupby, merges and reshaping, plus the SettingWithCopyWarni...
Open sheetAI Marketing Prompts Cheat Sheet
MarketingThe five brief elements, prompt patterns per channel, and how to give a model your brand voice w...
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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