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Agentic development, product steering and the making of Survol. Field notes to help you keep the mental map of your products.
Marc Simoncini locked himself up for eight days with YouTuber Aywen to build an AI-native company. The experiment has only just started - and it already says something exciting about the new rules of entrepreneurship.
How does Survol differ from coding assistants? They do not play on the same layer: they work on the code, Survol works on the product and the team. Seven differences - and what Survol does not do.
Simon Rimbert describes how AI changes the shape of thought - provided you have a "vault" of persistent context. For a software product steered by a team, that vault has a name: Survol.
When AI regenerates code at will, the scarce asset is no longer the code but the spec. Provided you treat it like an asset: versioned, governed, maintained. That is exactly what Survol makes of it.
GitHub, Microsoft, Thoughtworks, AWS: the industry is converging on spec-driven development. But who keeps the spec alive, and who makes it live inside a team? That is the gap Survol fills.
Archwise says it plainly: prompt engineering does not scale. The multiplier is treating context as infrastructure - versioned, governed. Exactly what Survol does with the context of your agents.
At VivaTech 2026, four predictions about the work of tomorrow. Three of them describe, almost word for word, what Survol is building: steer agents, keep your critical thinking, capitalise on experience.
Four Wharton papers bury the magic recipes of prompting. What works: goals, criteria, tests - "it's just management", says Mollick. We call that a spec.
In an interview with Maddyness, Cisco confirms the shift from generative AI to agentic AI - and reminds us that only a small minority of companies is genuinely ready to deploy it at scale. The good news? The obstacle is neither technology nor talent: it is integration, governance and people. Three things you can act on today.
More than one public servant in two uses ChatGPT quietly. Behind the risk, a signal: AI is far too useful to be banned. The answer is sovereign governance.
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