Read · Episode 02
Multiplayer agents: what changes when AI works as a teammate, not a chat window
One agent answering questions is a demo. A team of named agents working alongside you — and your colleagues — is a different operating model.
"The LLM models, they're a commodity. Everyone's got access to them. No one has more access than anyone else right now. The actual moat is having the harness work with the intelligence APIs." That's the frame Robin opens with, and it's the thread that runs through the whole episode: multiplayer agents aren't a bigger chatbot, they're agents with names, profiles, and tasks, living inside the same WhatsApp, Slack, or Teams thread your team already uses — talking to your colleagues, not just to you.
Tobi and Robin also dig into who can actually afford to take that risk. Their read: small, nimble companies have a real advantage here — a "David and Goliath" dynamic where larger, more risk-averse organisations move slower precisely because they have more to protect. Solopreneurs and SMBs can install, test, and iterate on multiplayer agent platforms in a way most enterprise teams can't yet.
It's an early, honest look at where the two hosts see this heading — closer to something like a genuinely present digital teammate than the clunky first-generation version most people are using today.