Learn to build the
solution you need.

A plain-words guide through the jungle of modern software and AI. Build something that solves a real problem you, and probably others, actually have. Understand every step, and share what you learn.

New to this? Start at Zero → · Find your path → · Look up a term →

Start with what you need

Find it by task, not by category

Most people arrive with a question, not a taxonomy. Jump straight in - every link goes into the full reference, and from there into the architecture, patterns, and guides behind it.

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Claude vs ChatGPT LangChain vs LlamaIndex Small vs large models The 2026 LLM landscape All comparisons

Explain it simply

What is RAG? What is an AI agent? What is MCP? What is inference? What is a context window? What is tokenization?

This week in AI China Tightens AI Rules: Companion Chatbots, Labeling, and a Comprehensive Law Read the latest →

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What just happened

All news and updates →

15 Jul 2026 China Tightens AI Rules: Companion Chatbots, Labeling, and a Comprehensive Law In 2026 China advanced a dedicated rule for AI companion chatbots (effective 15 July), kept its content-labeling regime … 9 Jul 2026 OpenAI Ships GPT-5.5, then the GPT-5.6 Sol/Terra/Luna Family OpenAI released GPT-5.5 in April 2026 with a 1M-token context, then in mid-2026 moved to named capability tiers with the … 9 Jul 2026 AI Copyright Litigation Broadens in 2026 The AI copyright and liability fights widened in 2026: a sanctions motion against OpenAI, the $1.5B Anthropic settlement … 8 Jul 2026 More 2026 Model Releases: Grok 4.5 and Qwen's Open Family Two more significant 2026 model tracks: xAI's Grok 4.5, a closed coding-and-agentic flagship, and Alibaba's open-weight …

New Interactive

Explore the wiki, visually

A new way to learn: every concept, tool, and milestone as a connected map you can pan, filter, and follow. Pick a view and start exploring.

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New

Galaxy

Every domain a planet, every article a star, linked by how the wiki connects.

New

Timeline

The history of computing, from the abacus to agentic systems, every milestone sourced.

New

Knowledge Graph

AI concepts and how they connect: what to learn first and what builds on it.

New

List

A flat, searchable list of every concept and article, grouped by domain.

Browse

Jump to any section

Every part of the wiki, grouped. Open a group to see its sections, the same navigator you get on every page.

The AI Stack

Where every article fits.

Every guide, pattern, and tool review maps to one of these five layers. The wiki covers all of them. Understanding the stack helps you know what to read next and why each layer depends on the one below it.

Layer 05 Applications What users interact with

What users interact with Interfaces, workflows, and AI-powered products end users see directly. Industry verticals, chatbots, search, and classification pipelines.

Industry Solutions Case Patterns RAG Search Agent Systems Chatbots Dashboards Classification

Layer 04 Orchestration How models are directed

How models are directed Prompt patterns, agentic loops, tool calling, memory, and routing logic that control model behaviour at runtime.

Patterns Guides Prompt Engineering Agentic Loops Tool Calling Memory Routing

Layer 03 Models The intelligence layer

The intelligence layer Foundation models, fine-tuning strategies, embedding techniques, evaluation frameworks, and inference optimisation.

Tool Reviews Comparisons Foundation Models Embeddings Fine-tuning Evaluation Inference

Layer 02 Data What models learn from

What models learn from Ingestion pipelines, vector stores, feature engineering, preprocessing, and data lineage for AI systems.

Guides Glossary Lineage Pipelines Vector Stores Preprocessing Feature Stores

Layer 01 Infrastructure Where everything runs

Where everything runs Cloud providers, deployment frameworks, APIs, security controls, observability, and cost governance for AI workloads.

Frameworks Tools Cloud / AWS Security Monitoring APIs Cost Management

Data flows up. Governance and compliance apply to every layer.

01. Browse by section.

207

How-to Guides Step-by-step tutorials covering AI architecture, testing, MLOps, and production deployment.

240

Tool Reviews Deep dives into AWS AI services, LLM platforms, and developer frameworks.

102

Patterns Reusable technical patterns for RAG, agents, pipelines, and production AI systems.

Comparisons Side-by-side analysis to help you choose the right tools and approaches.

Frameworks Governance, ethics, regulatory, and methodology frameworks for AI teams.

483

Glossary Plain-English definitions for AI, ML, and cloud engineering terminology.

Case Patterns Real-world AI implementation patterns drawn from production use cases.

105

Industry Solutions AI applications for media, finance, insurance, geospatial, and more.

Layers The foundational layers of AI systems, from data and models to orchestration.

Architecture System design patterns and reference architectures for scalable AI infrastructure.

Build Hands-on project guides for building real AI systems from architecture to working code.

Getting Started Core concepts, setup guides, and a clear path from zero to working.

02. Start here.

Staff picks

A cylinder projecting rows of red data points, representing document retrieval and indexing in a RAG pipeline.

Guide Building RAG Systems End-to-end retrieval-augmented generation: document ingestion, embedding, vector search, and ranked responses in production. Read the guide →

A silhouette facing a red-lit industrial tower representing regulatory oversight and compliance architecture.

Framework EU AI Act Risk Framework Classify your AI system under the EU AI Act. Understand what risk tier applies and which obligations follow from it. Read the framework →

Dark industrial gears under red light representing the mechanics of load planning and system capacity.

Guide Capacity Planning for AI GPU, memory, throughput, and cost estimation for LLM workloads. Before you commit to infrastructure. Read the guide →

03. Find your path.

Who is this for

Product Manager Understand what engineers are building, how long it takes, and when the AI approach is wrong. Start reading → Founder Decide what to build, who to hire, and whether the approach your team proposes will work. Start reading → Vibe Coder You direct, AI writes. Know enough to debug, deploy, and keep the system running. Start reading → Consultant Speak AI fluently: governance vocabulary, risk frameworks, and architecture evaluation. Start reading → Finance and Business Evaluate proposals, build a business case, and understand the regulatory obligations that apply. Start reading → Student or Switcher Start from zero. Computers, internet, code, then AI in a sequence that actually makes sense. Start reading →

The learning path

Five levels, one clear direction.

Every article is assigned a level. You always know what comes before it and what comes next. Level 0 assumes no technical background. Level 4 covers production AI systems at scale.

Level 0 Computers and the Internet How hardware, networks, and the web actually work. No prior knowledge assumed.

→

Level 1 and 2 Code and Collaboration Terminals, logic, Git, APIs, and version control.

→

Level 3 Cloud and Infrastructure Databases, cloud services, APIs, and scalable system design.

→

Level 4 AI and Production Systems LLMs, RAG, agents, MLOps, and shipping AI to production.

Start at Level 0 View all learning paths

04. Recently added.

From the wiki

News Google's Generative Media in 2026: Nano Banana 2, Veo, Lyria, and Gemini Omni Jun 2026 Guides When Do You Actually Need a Professional? Jul 2026 Guides Vibe Coding in Public: The Safety Check Nobody Gave You Jul 2026 Get Help With Your Project Jul 2026 News Beyond the EU: South Korea and Japan's AI Laws Take Effect Jan 2026 News The Second International AI Safety Report Lands Feb 2026 News Google I/O 2026: Gemini Omni, an Agentic Search, and the End of Gemini CLI May 2026 News AI Starts Doing Real Science: Co-Scientist, Erdős, and Deep Think May 2026 News Anthropic Releases Claude Opus 4.8 May 2026 News Anthropic Raises $65 Billion at a $965 Billion Valuation May 2026 News The US Moves to Preempt State AI Laws in 2026 Jun 2026 News Microsoft Builds Its Own MAI Models to Reduce OpenAI Reliance Jun 2026

Open source

Tools built from the same experience.

Freelancer Templates and Freelancer Automation grew out of the same real-project work that powers this wiki. Both are free to use.

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Learn to build thesolution you need.