Jesse built a highly functional, low-maintenance AI infrastructure grounded in real-world domestic needs—not theoretical AI ideals. She layers OpenClaw atop Obsidian as her 'second brain,' enabling automatic lesson logging from book photos and generating ready-to-teach curriculum plans with embedded illustrations via Gemini. Each agent—like Sylvie for homeschooling or Finn for finance—has a SOUL.md file defining its persona and scope, and runs on an isolated Mac Mini to ensure data security and role fidelity. She treats agent onboarding like human onboarding: granting least-privilege access, iterating based on feedback, and maintaining decision files for transparency. While Slack was attempted for agent collaboration, it proved inadequate for machine-to-machine handoffs. Jesse also digitized physical inventories—from toys to kitchen tools—so agents can recommend tangible resources during lesson planning. Voice-triggered printing and custom kids’ apps (built in four days with zero terminal experience) exemplify her friction-reducing, caregiver-first design philosophy. Her system prioritizes reliability, autonomy, and adaptability—proving that sophisticated AI orchestration is accessible to non-technical founders solving everyday problems.