Flo Crivello returns to The Cognitive Revolution to launch Lindy Teammate, an AI employee that lives in Slack, connects to company tools, and accumulates a team’s shared context. He argues that multiplayer AI matters because intelligence without context is less useful than an ordinary coworker, and explains Lindy’s approach to agentic memory, editable file systems, context buckets, and large-scale tool outputs. The episode also examines the costs and operating realities of building for the next generation of models, from negative gross margins and cache rates to Lindy’s own dogfooding in engineering workflows. The stakes are whether AI workers become drop-in teammates, how long humans are still needed to cover model mistakes, and what happens when engineers spend more time managing the machines that do the work.
Lindy: https://go.lindy.ai/CognitiveRevolution
For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/lindy-teammate-flo-crivello-on-multiplayer-agents-memory-why-he-d-ban-the-chinese-models-he-uses/
Sponsor:
Claude:
Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr
CHAPTERS:
(00:00) About the Episode
(02:56) Lindy Teammate launch
(10:07) Agentic memory systems (Part 1)
(19:58) Sponsor: Claude
(21:28) Agentic memory systems (Part 2)
(22:21) Reliability and caching
(34:57) Slack data scaling
(40:57) Memory retrieval tricks
(48:16) Agent infrastructure choices
(55:41) Company operations automate
(01:03:34) Centaur era ideas
(01:12:43) AI native organizations
(01:17:59) Open-source model stack
(01:27:39) Prompting and fine-tuning
(01:38:03) Chinese model bans
(01:45:09) Fairness and threat models
(01:53:39) Audits and diplomacy
(02:01:59) Episode Outro
(02:05:18) Outro
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