Context, models, and privacy concerns

Nathan and Jesse discuss model choices, data sovereignty, subpoenas, and reasons to pursue local models.

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Episode notes

Jesse Genet shares how she built a team of AI agents to transform homeschooling, family life, and personal productivity without a software background. She explains how agents like an AI chief of staff, curriculum planner, and content creator help design personalized lessons, analyze kids’ learning, manage educational toys, and even run TikTok. The conversation covers practical delegation workflows, guardrails and trust, and why she treats AIs like employees with onboarding and clear roles. Jesse also explores local models, privacy, and how AI in the home could reshape future work and family life.

Use the Granola Recipe Nathan relies on to identify blind spots across conversations, AI research, and decisions:

Sponsors:

VCX:

VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com

Claude:

Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr

Serval:

Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive

Tasklet:

Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

CHAPTERS:

(00:00) About the Episode

(04:57) Homeschooling context and AI

(15:55) Building an AI team (Part 1)

(19:51) Sponsors: VCX | Claude

(23:18) Building an AI team (Part 2)

(31:03) Onboarding agents like employees (Part 1)

(38:12) Sponsors: Serval | Tasklet

(40:31) Onboarding agents like employees (Part 2)

(40:57) Context, models, and privacy

(48:47) AI intimacy and rights

(56:19) Coordinating agents in Slack