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Clear guides to the models, agents, MCP, automation and AI tools everyone is searching for. Compared honestly, built step by step, and updated when AI changes.
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LatestAI News
AI news this week: Gemini 4 Argon, GPT-6 Sol and Luna, Muse Spark Open and more (18 October 2026)
The AI news that mattered this week: Gemini 4 Argon, GPT-6 Sol and Luna in ChatGPT, Meta's Muse Wonder and Muse Spark Open, DeepSeek, lawsuits and rogue agents.
· 7 min read
AI ModelsGemini 4 Argon: What It Is, What's New and How to Use It · 6 min read
AI ModelsGPT-6 Sol vs Luna: Differences, Pricing and Which to Use · 5 min read
AI ModelsMuse Spark Open: Meta's Open-Weight Model, Licence and How to Run It · 5 min read
AI ModelsDeepSeek V4.1 Flash (1017): What Changed, API, Open Weights and How to Try It · 5 min read
AI ModelsGemini 4 Argon vs GPT-6: Specs, Benchmarks and Which to PickGemini 4 Argon vs GPT-6 Astra, Sol and Luna: published specs, vendor benchmarks side by side, prices as of October 2026, and which model to pick for which job. · 6 min read
AI ModelsMistral Large 4: Specs, Pricing, Open Weights and How to Use ItMistral Large 4 is a 1T-parameter multimodal MoE model in public preview since 6 October 2026. Specs, prices, benchmarks, open-weight timing and how to try it. · 4 min read
AI ModelsClaude Haiku 5.5: Pricing, Specs, Benchmarks and What ChangedClaude Haiku 5.5 is Anthropic's fastest, cheapest model: $0.10 in, $0.50 out per 1M tokens, 1M context, effort levels. Specs, benchmarks and migration notes. · 5 min read
AI ModelsBest LLM in 2026: The Right Model for Each JobThe best LLM in October 2026 for coding, reasoning, writing, long documents, low cost and local use, with prices, context windows and leaderboard ranks. · 8 min read
AI for BusinessWhat is the 30% rule for AI? The five versions, and where each one comes fromThe 30% rule for AI is an informal rule of thumb, not a standard. Here are the five versions people mean, the real sources behind each, and how to use them. · 6 min read
AI AgentsAgentic AI vs Generative AI: The Difference ExplainedGenerative AI creates content when prompted; agentic AI uses the same model to plan and take actions toward a goal. Differences, a table, examples and costs. · 8 min read
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Browse by topic
Every guide, grouped by the part of AI it covers.
- AI Models9GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral and the open-weight models: what each is good at, what it costs and how they compare.
- AI Agents8Agentic AI explained and built: frameworks, tools, memory, skills, multi-agent systems, evals and keeping agent costs under control.
- MCP and Integrations4The Model Context Protocol, MCP servers, function calling and connecting AI to the systems a business already runs.
- AI Coding4Claude Code, Codex, Cursor, GitHub Copilot and the practice of building software with AI.
- Local and Private AI5Running models on your own hardware: Ollama, LM Studio, vLLM, llama.cpp, GPUs and Macs for LLMs.
- AI Fundamentals4How AI actually works, in plain English: LLMs, transformers, tokens, embeddings, RAG, fine-tuning and the terms behind the headlines.
- AI Tools4Honest reviews, comparisons and the best AI tools for each job.
- Prompt and Context Engineering2Getting reliable results from models: prompt patterns, system prompts and context engineering.
- AI for Business1Use cases, adoption, ROI and AI strategy for teams and companies of every size.
- AI Governance and Safety1Responsible AI, regulation such as the EU AI Act, standards, privacy and AI security.
- AI News1What changed in AI and why it matters: new models, releases and the weekly roundup.
AI Models
See all- Gemini 4 Argon: What It Is, What's New and How to Use It · 6 min read
- GPT-6 Sol vs Luna: Differences, Pricing and Which to Use · 5 min read
- Muse Spark Open: Meta's Open-Weight Model, Licence and How to Run It · 5 min read
- DeepSeek V4.1 Flash (1017): What Changed, API, Open Weights and How to Try It · 5 min read
AI Agents
See all- Agentic AI vs Generative AI: The Difference Explained · 8 min read
- AI Agent Frameworks Compared (2026): LangGraph, CrewAI, OpenAI, Claude, ADK and More · 8 min read
- AI Agent Security: Risks, Recent Rogue-Agent Incidents and a Practical Checklist · 9 min read
- AI Agent Skills Explained: SKILL.md, Tools, MCP and How to Write Skills That Don't Waste Tokens · 9 min read
AI Coding
See all- Best AI Coding Assistant in 2026: Picks by Use Case · 8 min read
- Best Local LLM for Coding in 2026 (Picked by Your Hardware) · 7 min read
- Claude Code vs Codex vs Cursor (and GitHub Copilot): Which AI Coding Tool in 2026? · 8 min read
- What Is Vibe Coding? Meaning, Origin, Risks and When It Works · 5 min read
Start here
The guides to read first
The foundations, kept current: what each idea is, when it matters and how to use it.
- AI AgentsWhat Is Agentic AI? How AI Agents Work, Types, Examples and LimitsAgentic AI explained: a model that plans, uses tools and acts toward a goal in a loop. How agents work, types, examples, failure modes and when not to use one. · 9 min read
- MCP and IntegrationsWhat Is MCP? The Model Context Protocol Explained (2026)MCP is the open standard that connects AI apps to tools and data. How it works, the 2026-07-28 spec changes, a working server in Python, and security. · 10 min read
- AI ModelsBest LLM in 2026: The Right Model for Each JobThe best LLM in October 2026 for coding, reasoning, writing, long documents, low cost and local use, with prices, context windows and leaderboard ranks. · 8 min read
- Local and Private AIHow to Run an LLM Locally in 2026: Tools, Hardware and ModelsRun an LLM on your own computer: compare Ollama, LM Studio, llama.cpp, vLLM and Jan, size memory for any model, set up Ollama step by step and pick a model. · 9 min read
- AI AgentsAI Agent Frameworks Compared (2026): LangGraph, CrewAI, OpenAI, Claude, ADK and MoreAI agent frameworks compared for 2026: LangGraph, CrewAI, Microsoft Agent Framework, OpenAI and Claude SDKs, Google ADK, LlamaIndex, Pydantic AI and n8n. · 8 min read
- Prompt and Context EngineeringWhat Is Context Engineering? Techniques for Reliable AI AgentsContext engineering is curating everything an LLM sees, not just the prompt. Where the term came from, why context rots, and techniques for reliable agents. · 9 min read
AI glossary
Every AI term, in one plain sentence first
Tokens, context windows, RAG, MCP, agent harnesses, mixture of experts: short definitions with an example, then the detail if you want it.
- Agent harness
- Agentic AI
- AI agent
- AI hallucination
- AI Overviews
- Artificial general intelligence
- Chain of thought
- Context engineering
- Context window
- Diffusion model
- Embeddings
- Fine-tuning
- Function calling
- Generative AI
- Guardrails
- Inference
- Large language model
- Mixture of experts
- Model Context Protocol
- Multimodal AI
- Open-weight model
- Prompt engineering
- Quantization
- Reasoning model
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Guest posts on AI, agents, automation and AI tools, reviewed by our editor before publishing.