Learn AI
From zero to expert. Choose your level, learn at your pace. Each article has a quick view (3 min) and a full view to go deeper.
AI visibility: getting your site into the answers of ChatGPT, Claude, Perplexity and Copilot
Your customers now ask an assistant, which reads the web on their behalf. This guide explains how these assistants access your site, why most companies block them without knowing it, and gives the full implementation protocol: policy, robots.txt, CDN, firewall, measurement and governance.
Trust Index Barometer #1: what official documentation really says about 38 AI models
Before verification, 37 of 38 models scored 31/100. After reading vendors’ official pages, they range from 44 to 80. Anthropic with no EU region, a European vendor training on your data, Google on top through Vertex AI only.
The Skills & MCP ecosystem: where to find, where it moves, how to evaluate
Step 9/9 of the Skills & MCP learning path. The annotated map of sources, the method to build a watch that lasts, and the checklist to evaluate a third-party building block before adoption. The path closes on its synthesis quiz.
Using an existing MCP server: plug in without getting burned
Step 6/9 of the Skills & MCP learning path. The four-step plug-in ritual: choose, inspect, configure, test. Reading a tool list like a permission list, understanding the configuration line by line, and settling local vs remote.
MCP: the protocol explained, without the fog
Step 5/9 of the Skills & MCP learning path. The problem MCP solves (M×N → M+N), the host-client-server architecture, the three primitives tools / resources / prompts, and the full sequence of a tool call, numbered, diagram included.
Skills in the enterprise: the governance that prevents the worst
Step 4/9 of the Skills & MCP learning path. Who writes, who validates, who maintains, the full life cycle of a skill library, the threat model of the malicious skill, the pre-adoption audit checklist, and the AI Act Article 4 bridge.
Create your first skill: the five-step method
Step 3/9 of the Skills & MCP learning path. The complete method for writing a skill that triggers and holds up: scoping, description, instructions, testing, iteration, with the full SKILL.md of our connecting thread as a deliverable.
Anatomy of a skill: the SKILL.md dissected
Step 2/9 of the Skills & MCP learning path. A SKILL.md file dissected line by line: the frontmatter, the trigger description, the instruction body, the bundled scripts. Why 20 well-structured lines can be worth three weeks of development.
Building your first AI agent: from a repetitive task to production in one day
An agent is a 40-line loop around a model and three tools. What makes it useful is everything else: the right task, a clear job description, guardrails before intelligence, and five real cases to decide whether it ships. Complete guide, from choosing the task to going live.
LLM cost optimization: the 10 levers, from mental model to code
Your AI bill is exploding because you pay for tokens nobody reads. This guide gives you the mental model, the 10 levers grouped by family, a 30-60-90 day battle plan for the CIO, and the Python code for each lever.
Persistent Memory: Why Your AI Assistant Forgets You : and How to Fix It
By default, an AI forgets everything from one session to the next. Here's why, how a real three-layer memory works, why RAG isn't enough, and how to give an agent persistent memory, without neglecting GDPR.
AI Agent Drift: Why Your Agent Works in a Demo but Breaks in Production
A flawless agent in a demo can fall apart the moment it meets the real world. Here's what drift is, why it happens, how to detect it, and above all how to prevent it upstream.
AI Agents in Enterprise: What ANSSI's April 2026 Warning Actually Says
CERT-FR advises against AI agents in production. Decoding bulletin CERTFR-2026-ACT-016, 5 technical risks, 3 workstreams, 5-day checklist.
Agentic systems with Claude: architecture and theory explained
Understand how Claude orchestrates multiple agents that collaborate. Orchestrator-worker pattern, nO loop, inter-agent communication. No jargon.
Choosing your AI API in 2026: OpenAI vs Anthropic vs Mistral vs Google
OpenAI, Anthropic, Mistral, Google, DeepSeek... 5 major APIs, prices varying 50×, very different strengths. Decoding which provider to choose based on your use case, budget, and constraints. Practical decision matrix.
MCP (Model Context Protocol): the standard that finally connects AI to your tools
The Model Context Protocol is the USB-C of AI. One standard to connect Claude, ChatGPT, Gemini to your 50 tools (Slack, GitHub, Notion, Drive...) without coding 50 integrations. Adopted by Anthropic, OpenAI, Google in 2026. Why it's the silent revolution.
Chinese AI (DeepSeek, Qwen, Kimi): should we be wary in 2026?
DeepSeek R1 beat OpenAI at 50x cheaper. Qwen is the #1 open-source model on Hugging Face. But censorship, data sent to China, regulatory risks: complete unbiased analysis.
Shadow AI: the invisible danger in business
78% of your employees use personal ChatGPT at work. Your data may be going to OpenAI without you knowing. We explain the phenomenon, real incidents, and 30-day remediation plan.
Securing your business against AI risks in 2026
67% of businesses had an AI incident in 2026. Average cost €4.9M. We explain the 4 risk vectors, frameworks (SAIF, OWASP), AI Act, and 90-day action plan for CISOs/managers.
GEO: the new SEO in the AI era (Google AI Overviews)
Google AI Overviews dropped organic CTR from 28% to 17%. GEO (Generative Engine Optimization) is the new discipline to stay visible. We explain the 5 pillars and the 90-day action plan.
Vibe coding: coding with AI in 2026 (Cursor, Claude Code)
Vibe coding is the new way of coding where you dialogue with AI. We explain how Cursor, Claude Code, Copilot and Windsurf radically change the dev job. 2-5x productivity, but not magic.
Understanding AI hallucinations
Why does ChatGPT invent references? Why did Bard make Google lose $100 billion? We explain how AI hallucinations work, how to detect and avoid them.
Open source vs proprietary: which LLM to choose?
Mistral, Llama, DeepSeek vs GPT, Claude, Gemini: open or closed? We help you decide based on your volume, GDPR constraints and real budget (with TCO calculation).