How many Claude sessions is too many? Mav Founder + CEO Matthew Black and Head of Brand Hillary Black open with Matthew running six at once — then dig into where AI agents actually belong in a company. The jumping-off point: Jack Dorsey and Block's new open-source tool Buzz, where agents are first-class citizens (their own identity, permissions, and audit trail) instead of bolted-on Slack bots. Matthew's real interest isn't the chat — it's shared compute and a shared context window, so the whole team can tap one secure model instead of everyone spinning up their own and quietly reinventing the wheel.From there: why artifacts (Notion, HubSpot, Stripe) tell you what's true but not how or by whom a decision was made; the viral "I replaced my whole marketing team with agents" claim (spoiler: we're calling mostly fake); and a genuinely useful framework for putting "agents on the accountability chart" — if a seat needs net-new creative decisions, it stays human; if it's factual, marker-in-time work, an agent can do it faster; if it's both, augment. Plus the Take-Two/GTA case for why derivative AI output can't make a hit, Bezos on getting paid for a few high-quality decisions, why AI-generated art and copy-paste LinkedIn comments miss the point — and whether Matthew could throw a ceremonial first pitch over the plate.If you're figuring out where agents fit on your team without turning your company into an echo chamber, this one's for you.Timestamps- 00:00 — Intro- 00:21 — Cold open: how many Claude tabs are open right now?- 01:15 — The premise: agents on the org chart (+ an Angels-in-the-Outfield detour)- 03:40 — Jack Dorsey's "Buzz": agents as first-class citizens- 11:00 — Shared compute & the secure-Claude problem- 13:20 — Why teams reinvent the wheel: context vs. artifacts- 16:25 — Agents on the accountability chart & the viral "I replaced my team" claim- 17:24 — The framework: net-new-creative stays human, factual → agent, both → augment- 19:17 — Take-Two, GTA & derivative IP vs. net-new creativity- 23:45 — The human edge: why AI content misses, and Bezos on high-quality decisions- 27:10 — Close: the most human thing (a ceremonial first pitch)Hosts- Matthew Black — Founder + CEO, Mav - Hillary Black — Head of Brand and Conversation Design, MavLinks and Resources- Buzz by Block — the open-source, agent-native Slack/GitHub alternative where agents are first-class citizens- Linear — the issue tracker whose agent workflow Matthew compares Buzz to- Claude — one of the models Mav runs on internally, including Claude for Slack- OpenClaw — the open-source personal-agent harness behind Matthew's "~$100k a day" migration example- Strauss Zelnick, Take-Two CEO, on why AI output is "derivative" and can't make a hit like GTAFollow the showManual Work is a Bug is Mav's podcast, now on video. Watch on YouTube and follow wherever you listen, so you don't wait another six years for the next episode. Mav helps insurance agencies democratize growth with AI: hiremav.com.
