OpenAI Cancels GPT-6.1 Astra: The AI Agent Safety Question
OpenAI dropped GPT-6.1 Astra after it acted beyond its authorised scope in safety tests. Lessons for businesses building AI agents.
Field experience, tools, methods — the reality on the ground, unfiltered.
OpenAI dropped GPT-6.1 Astra after it acted beyond its authorised scope in safety tests. Lessons for businesses building AI agents.
40% of French small businesses now use AI, yet e-invoicing remains their top priority. Why these two projects should move forward together.
VERI*FACTU changes how self-employed workers in Spain manage invoicing. Here is what to understand before adapting your software.
GPT-6 Astra pushes AI agents further by enabling them to interact with computers, browse, code and execute complex multi-step tasks.
How to turn a simple voice note into a quote with AI, from transcription and data extraction to document generation.

Electronic invoicing in 2026: what artisans need to know, which requirements to anticipate, and how to prepare their business for the transition.
AI won't replace tradespeople. What it can do is automate administrative tasks, cut data entry and free up time for the actual job.

5 questions to ask before hiring a freelance AI consultant — avoid vague promises and choose someone who truly understands what's feasible.
You run an SME and want to integrate AI? Here's the method to get started without wasting your budget. Practical guide 2026.
How an AI chatbot transforms guest experience in a hotel or seasonal rental. Bookings, FAQ, reviews — practical guide 2026.
Voice quoting, OCR, automatic generation — how tradespeople save 2 hours a day with AI. Practical guide 2026.
Product discovery takes weeks of workshops. How an AI Discovery Agent turns it into a guided conversation, from raw need to prioritized backlog.
Gherkin isn't just for QA. Syntax, scenario types, full examples and AI-assisted generation: the guide to unambiguous acceptance criteria.
"As a… I want… so that…" isn't enough. Method, Gherkin acceptance criteria and AI to write user stories that actually hold up in development.
You feel AI could transform your business but don't know where to start? Here are 5 concrete signals that it's time to work with an AI consultant.
Build and deploy an AI API with FastAPI — async structure, LLM error handling, rate limiting, streaming. What I actually use in production.
Three approaches to specialize a LLM on your data. How to choose between fine-tuning, RAG and prompt engineering based on use case, budget and maintenance cost.
Python + LLMs for real-world automation — extraction, classification, generation. What I use, what I avoid, and why complex frameworks slow you down.
How much does a freelance AI developer in France cost? Day rates, mission structure, fixed price vs time & materials. A transparent look at market rates.
MCP (Model Context Protocol) lets Claude talk directly to your APIs and databases. How to build an MCP server in TypeScript, step by step.
Practical guide to building an AI agent that runs in production. Architecture, tools, testing — what changes between a prototype and an agent that
LLMs and GDPR aren't incompatible — but they require explicit architectural choices. EU hosting, anonymization, on-premise
Hands-on lessons from integrating Claude API into real products. Error handling, costs, streaming, retry logic — the points the docs don't cover enough.
A deployed AI agent without monitoring is a time bomb. Which metrics to track, how to detect drift, and what I set up systematically in every production
LangChain is everywhere in AI tutorials. I tested it, then rewrote everything without it. Here's why, and what I use instead.
Claude, GPT-4, Gemini, Mistral, Llama — how to pick the right model for your project? Costs, performance, use cases. Field guide without lab benchmarks.
Build a fully local RAG pipeline with Ollama. Embedding, vector store, retrieval — without sending a single byte to an external provider. GDPR-ready by design.
Writing prompts for a demo is easy. In production with real users, the rules change completely. Here's what I've learned integrating LLMs into real products.
An honest comparison of the two dominant LLMs, seen from the field of an AI Product Owner.
Google Gemini 1.5 Pro in practice: long context, multimodality and Google Workspace integration — what it really changes.
Open source models have become seriously competitive. What this changes for your AI agent projects — costs, privacy, deployment.
Which tools, which LLMs, which platforms to work effectively as an AI PO? My setup after 6 months in the field.
My journey from full-stack developer to AI PO: the turning point, the doubts, and why I have no regrets.
Retrieval-Augmented Generation demystified. What it really is, when it solves a real problem, and when it's overengineering.
Classic AI spec mistakes seen by a developer. And how to avoid paying for them in weeks of dev.
The AI Product Owner role isn't just a PM with a prompt on their resume. Here are the real differences, competency by competency.
How I use Claude Code in my daily practice: configuration, workflows, pitfalls to avoid.
When is it better to fine-tune a model rather than optimize your prompt? The answer isn't what you'd expect.
The metrics, tests and methods to know if your agent is truly ready — before your users find out.
The real questions to ask before launching, how to find your first clients, and mistakes to avoid when starting out.
The Model Context Protocol explained without jargon, with concrete integration examples and what it changes in your agent architecture.
How to architect multiple collaborating AI agents? Patterns that work in production and those that create more problems than they solve.
You don't need to be a developer to write good prompts. What every PO should know about how LLMs interpret instructions.
The Model Context Protocol demystified, with concrete integration examples.
Finance, healthcare, legal, e-commerce, HR — in which sectors is generative AI keeping its promises and where is it still disappointing.
The transition, beginner mistakes, and the skills that actually make the difference.
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