TL;DR

All Day AI was a free, online, 16-hour marathon event with zero vendor pitches. We pulled it together in about two months, saw 12,313 participants and 140 speakers, and people stayed and watched for an average of more than 6 hours.

An event of this scale doesn’t come together that fast without some serious sprinting, trial and error, and audible-calling. Plenty of people have asked how we did it, so this article open-sources the whole playbook: the goals, the team, the tools, the timeline, and the parts we’d change.

The Why

We built All Day AI for people who were under pressure to put AI to work but struggling to find advice they could trust. The tools and recommendations were changing week to week, and a lot of the conversation still led back to something for sale. We wanted a place where practitioners could explain what they had actually shipped, what had failed, and what another team could reuse.

That need shaped the format.…