Every Band Should Have an AI Tour Manager (I Was Right in 2018)

In 2018, I made a video and gave a talk with a simple premise: every band should have an AI agent as their tour manager.

This was before ChatGPT. Before transformers. Before anyone outside of DARPA and academic AI labs was seriously talking about autonomous agents. I designed the concept around two technologies that almost nobody in the music industry had heard of: the dotblockchain music protocol (a blockchain-based rights management system) and the Cougaar Agent Java framework (a DARPA-funded multi-agent architecture originally built for military logistics coordination).

So ahead of its time.

The Original Insight

At Rock 'n Renew, Erin and I saw something clearly: touring artists are continuous power sources for legislation, local activism, public awareness campaigns, and collective action. A band that plays 200 shows a year touches 200 communities. Each show is a node in a network that can power environmental programs, voter registration, local organizing, and community connection.

We proved it worked. 350.org grew from 3,000 members at 8 colleges to millions across 189 countries, and touring artists were a core part of that engine.

But the bands couldn't manage it. The logistics of connecting each tour stop to local organizations, tracking which campaigns worked in which cities, remembering that the venue in Portland has a relationship with the watershed council and the one in Austin connects to the urban farming collective — that's too much for any human to hold.

The Agent Tour Manager

The AI tour manager I designed would know every venue, every local contact, every past campaign outcome. It would remember what worked in Portland and apply the pattern in Austin. It would connect the environmental organizer in Denver with the one in Nashville because they're working on the same watershed issue across state lines.

The agent wouldn't replace the artist's judgment. It would handle the connective tissue — the logistics, the institutional memory, the relationship mapping — so the artist could focus on what they do best: perform, connect, and catalyze.

Cougaar was the right framework for this. It was designed for exactly this kind of problem: coordinating multiple agents across distributed geographic nodes with varying local conditions. Military logistics coordination and tour management are structurally similar problems.

The Through-Line

That 2018 concept didn't become a music industry product. It became something bigger.

The same architecture — persistent agents that capture workflow knowledge, map relationships across nodes, and coordinate distributed action — now powers Trailblazer. The domain shifted from touring musicians to knowledge workers, but the pattern is identical.

Capture the intelligence embedded in action. Map the relationships between nodes. Connect the person in Portland with the person in Austin because the graph shows they're working on the same problem.

The tour manager for knowledge work. Eight years later, the technology caught up to the idea.