AI models and tools
New models, assistants, agents, multimodal tools, image, video, audio generation and automations.
AI News
AI news, practical use cases and LLM workflows
The Web Generation hub for understanding AI updates, spotting real use cases and deciding what your team should test.
AI News
Useful AI intelligence, not another hype feed.
Every week brings new models, agents, video tools, connectors and APIs. This page gathers Web Generation dossiers that help you sort what changed, what is usable, what remains risky and what deserves a concrete test.
Tracked topics
What you will find here
LLM workflows
Use cases where AI becomes a working method: writing, analysis, support, monitoring, code and reporting.
MCP and connectors
How models connect to business tools while keeping access, data and actions under control.
Costs, tokens and cache
Understand what drives AI costs and how to avoid expensive or useless workflows.
SEO, GEO and AEO
Use AI to produce better content without sacrificing editorial quality, search intent and user experience.
Reliability and limits
Spot hallucinations, wrong numbers, false promises, API limitations and publishing risks.
Published dossiers
Read now
These dossiers explain AI topics already useful for marketing, SEO, content, product and development teams.
AI coding agents: choose without losing control
Compare OpenCode, Claude Code, Codex and development agents with the right criteria: permissions, modified files, tests, diff quality, logs and rollback.
Article currently available in French. Read the article
Tokens, cache and AI costs: stop burning budget
Understand why an AI workflow can become too expensive and how to monitor context, outputs, cache, frequency and model choice.
Article currently available in French. Read the article
MCP, connectors and agents: from chatbot to business workflow
See how connectors turn an AI assistant into a workflow linked to tools, with approvals, scopes and limits.
Article currently available in French. Read the article
Anti-hallucination checklist: verify before publishing
A simple way to check facts, dates, prices, model versions, citations and limits before publishing.
Article currently available in French. Read the article
Useful sources
Where to follow AI without relying on rumors
The best signals come from official documentation, research publications, changelogs and engineering feedback. Social networks can surface a topic, but should not validate it alone.
OpenAI Developers
API documentation, models, tools, agents, structured outputs and production best practices.
OpenAI DevelopersAnthropic Claude Docs
Claude documentation, tool use, prompt caching, Claude Code and developer guides.
Anthropic Claude DocsGoogle AI for Developers
Gemini documentation, multimodal, long context, structured outputs, code execution and integrations.
Google AI for DevelopersModel Context Protocol
Reference for understanding MCP, servers, connectors and integrations between AI and tools.
Model Context ProtocolStanford AI Index
Annual report covering adoption, research, investment, performance and AI market trends.
Stanford AI IndexHugging Face Papers
Radar for papers, open models, benchmarks and technical discussions from the AI community.
Hugging Face Papers
For your company
Turn AI news into useful action
Web Generation helps teams move from confusing AI monitoring to simple tests: prioritize use cases, choose tools, frame risks, measure costs and produce more reliable content.
WG Academy
Train your team on AI workflows, SEO, GEO, AEO and assisted content.
Explore the AcademyWG Writer
Structure briefs, articles, scripts, posts and editorial resources with AI.
View WG WriterSEO Analyzer
Check structure, titles, internal linking, indexation and editorial quality.
Launch the analysisContact
Discuss an AI audit, workflow or content project.
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FAQ
FAQ
Why follow AI news?
Because tools evolve quickly, but not every update deserves a test. Useful monitoring helps prioritize use cases with real impact.
What is an LLM workflow?
It is a method combining context, model, tool, rule, expected output and quality control to get a usable result.
Can AI help SEO?
Yes, if it supports user research, structure, production and verification without replacing strategy or editorial quality.
Why talk about AI costs?
Costs depend on the model, context sent, generated outputs, cache, volume and usage frequency.