What happened in this episode?
Flo Crivello, founder and CEO of Lindy, outlines the company’s launch of “Lindy Teammate”, a Slack-based “AI employee” intended to work in a multiplayer setting across a team. He describes Lindy’s onboarding as connecting workplace tools and crawling full Slack history to build a knowledge graph, with separate personal and workspace layers and a background “memory agent” that refreshes context frequently. He argues that context, not raw intelligence, is increasingly the bottleneck for useful workplace agents, and says meetings should be treated as a first-class input into organisational memory.
A large portion of the discussion centres on agent operations and cost. Crivello says Lindy is again in “negative gross margin territory” after Teammate expanded what users ask the system to do, and he highlights caching as critical, claiming an 85% cache hit rate and warning that small changes can sharply increase costs. He describes internal engineering workflow changes driven by agents, including automated pull-request review and AI-led optimisation tasks, and predicts Lindy’s internal inference spending will overtake payroll within three to six months.
In the most politically contentious segment, Crivello argues for a sweeping US ban on Chinese frontier AI models, citing censorship and propaganda concerns, alleged distillation of US models, and national-security considerations. The host pushes back, suggesting alternatives such as insurance and auditing regimes rather than outright bans.
Commercial content includes an Anthropic sponsor read promoting Claude for personal “deep context” databases.
