The promise and the pitfall
Generative AI has transformed in two years how millions of people write. Promise: produce more, faster. Pitfall: produce more, but the same as everyone else, in a smooth, forgettable average.
For AI to actually help, you have to step out of the « write me an article about X » model and step into a logic of editorial collaboration. Here's how we think about it.
AI doesn't write alone, it prepares
In our approach, AI is never the final writer. It is an assistant that:
- Synthesises the sources you've chosen
- Proposes an article structure based on that synthesis
- Suggests angles you might not have seen
- Checks factual coherence between elements
The human writer then takes this material, prunes it, corrects it, gives it a voice. That's the difference between a draft and a publishable article.
Editorial voice cannot be delegated
A text generated without context sounds like a generated text: well-formed sentences, polished transitions, but no rough edges. No surprise. No point of view.
That's what makes raw AI so recognisable, and that's also why we don't try to remove the human. We try to give them more time to do what AI cannot: decide, take a stance, surprise.
Sources: the non-negotiable
An article that does not cite its sources is an article you cannot verify. AI that does not cite its sources is AI you cannot trust.
Our approach requires every factual claim to be anchored in an identifiable source, and that this source appears in the final article. This protects your credibility and that of your media.
As a side effect, it forces the AI to stay close to reality rather than producing plausible but invented claims — which remains its biggest flaw.
Verification stays human
Even with rigorous sourcing, AI can be wrong on details. Confuse two dates, attribute a quote to the wrong person, oversimplify a complex argument. No current system fully eliminates these errors.
The fix: integrate verification into the workflow as an explicit step, not a vague intention. If you don't know who reviewed the article before publication, it wasn't reviewed.
Form follows substance
Once the substance is solid, AI can also help on form: rephrase a heavy sentence, propose an alternative title, check tone. These tasks are well suited to an assistant and free up time for what requires judgment.
The common mistake is to start with form — « make this text more dynamic » — before substance is held. A beautiful sentence about a wrong idea is still a wrong idea.
What we want to avoid
- Articles that all sound alike because they come out of the same mould.
- Fake quotes or invented statistics.
- The temptation of volume at the expense of value.
- The author's voice erased under a layer of algorithmic neutrality.
What we want to make possible
- Write twice as much, but better.
- Cover topics you wouldn't have had time to address.
- Keep editorial standards intact while reducing friction.
Well-used AI is not a shortcut, it's a lever. The difference shows over time.