News and analysis on generative AI

Analyses, studies and field feedback on generative AI, AI agents and organizational transformation.

The right AI model for each task: stop automatically taking the biggest one.

Luna, Haiku, Flash, Sonnet, Sol, Opus, Astra, Fable: what are the template tiers used for, why is the most powerful one almost never the right choice for an email or a summary, and which tier to choose for each type of office task? Includes independent rankings, publisher pricing, a printable chart, and how the choice of template affects your electricity and water bills.

Cowork, Work, Vibe Work: Four ways to delegate work to AI

Claude, ChatGPT Work, Copilot Cowork Mistral Vibe Work and Mistral Vibe Work share the same promise: to describe a result rather than ask a question. Behind this lie four very different choices: execution location, access to tools, approvals, scheduled tasks, skills, actual cost, and data. This overview was updated on September 20, 2026, based on official documentation, reflecting changes that have occurred in the past two weeks.

From prompt to context: why context engineering is replacing prompt engineering

For two years, the key skill in generative AI was prompt engineering: the art of formulating the right query, with the right role, the right format, and the right examples. This skill remains useful. But it is no longer the primary driver. The decisive question has shifted: it's no longer "how do I formulate my request?" but "what do I give the model to read?" It's about context…

MCP: The Enterprise AI USB-C Port

The Model Context Protocol (MCP) is the standard that connects AI to your business tools: CRMs, calendars, document databases, and websites. Launched in late 2024 by Anthropic and subsequently adopted by the entire ecosystem, this standard plays the same role for AI as the USB-C port does for our devices: a universal connector that replaces a multitude of proprietary cables. The problem with MCP…

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