An Imperfect but Documented Attempt

This project would not have been possible without artificial intelligence. But it would also not have been possible without an editorial vision, an intellectual curiosity for neglected histories, and constant human work on architecture, verification, and narrative choices.

AI acted here as a capability amplifier:

- It enabled managing 40+ articles in 5 days

- It automated certain repetitive tasks

- It facilitated documentary research

- It accelerated multi-format production

But it never replaced human judgment on essential questions: which story to tell and how, which sources to prioritize, what tone to adopt, which questions to leave open.

An Exercise in Augmented Journalism

History-AI is as much an editorial attempt as it is a methodological experiment. It is an essay in augmented journalism, where AI does not write in place of the human but rather enables production at unprecedented scale and speed.

The Fundamental Question

One fundamental question remains: Will this type of production find its audience? Only time will tell. This project undoubtedly contains errors, approximations, and blind spots. But the approach is documented, the method is reproducible, and the intention is clear: to make accessible a history too often reserved for experts.

Readers who identify inaccuracies or gaps are invited to report them. This is how this citizen work can improve.

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Project Avalon / History-AI

Website: [histoire-ia.fr](https://histoire-ia.fr)

English version: [us.histoire-ia.fr](https://us.histoire-ia.fr)

Podcast: Spotify, Apple Podcasts

Author: Kristy

Production period: 5 days (December 2024)

Technologies: VS Code, Claude Code, MCP, Vercel, ElevenLabs

Note established January 2026

License: Creative Commons BY-NC-SA 4.0