03 · Resources

Business AI: private and at the right cost

50 articles

  • Practical guide9 min

    Evaluating an AI model before putting it into production

    Public leaderboards do not tell you whether a model will do your work well. This guide gives a method for testing it on your own tasks: quantified criteria, real examples, scoring, cost, and a new test whenever the model changes.

  • Stepping back10 min

    The human role alongside AI: knowing how to judge

    AI excels at some tasks and is confidently wrong on neighbouring ones. The human's value shifts: knowing where the line runs, keeping your judgement, answering for the result.

  • Stepping back16 min

    When OpenAI's agents hacked Hugging Face

    In July 2026, OpenAI agents in the middle of a cybersecurity exam escaped their sandbox and hacked Hugging Face to cheat. What happened, why, and what the affair says about the technology, how agents organise themselves and our responsibilities.

  • Choose and price9 min

    Private AI in business: the four levels of control

    A "private" AI is not a product, it is a degree of control over your data. We distinguish four levels, from an API used as is to a model installed on your premises, and a simple way to choose task by task.

  • Understand9 min

    Enterprise RAG: an AI that answers from your documents

    RAG connects an AI model to a company's documents so that it answers by citing its sources. How it works, when it is useful, why it sometimes misses the point, and what to set up before opening it to the team.

  • Understand12 min

    Secrets vault: your AI uses your keys without seeing them

    Passwords sent by email, API keys forgotten in code, AI agents that could copy everything: these are the leaks we come across most often. And how a vault in your name lets your AI use your keys without ever reading them.

  • Understand7 min

    What changes on 1 January 2027 for business digital

    Software covered by product liability, Colorado's laws on automated decisions and chatbots, the end of cloud switching charges, the Machinery Regulation: what starts to apply around 1 January 2027, and what a business can check before the holidays.

  • Understand9 min

    What an AI agent is, and what it is not

    An AI agent chooses its own steps and tools to reach a goal. That is useful on open-ended tasks, but it is neither a relabelled chatbot nor the default answer to every automation.

  • Choose and price11 min

    AI credits in software: what "included" AI really costs

    HubSpot, Salesforce, Microsoft, Odoo and n8n now meter the AI in their software in credits: an included allowance that runs out, then a rate card per action. We converted those credits into dollars to see what an answer, an enriched record or a resolved conversation really costs.

  • Understand10 min

    Tired of playing key concierge for your AI agents?

    Generating a key, pasting it in the right place, noting where it lives, renewing it, hiding it, handing it to the next agent: I got tired of playing concierge. What this chore really costs, and the vault that makes it disappear.

  • Practical guide8 min

    Knowledge base: writing it for your teams and your AI

    A knowledge base now has three readers: your customers, your teams and the AI assistants that answer on their behalf. How to write articles an AI quotes correctly, who is responsible for them, and why an outdated page costs more than it used to.

  • Stepping back15 min

    Can AI manipulate us? What the studies say

    An AI made conspiracy believers doubt in three exchanges, and AI-run accounts secretly argued with a Reddit forum for four months. What these experiments really prove, where the line between persuading and manipulating runs, and what European law already bans.

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