šļø How I AI: Quests, token leaderboards, and the elite AI adoption playbook & Notionās spec-driven development
AI Summary
This edition of How I AI features two podcast episodes: John Kim (Sendbird CEO) shares his gamified internal AI adoption playbook using quests, token leaderboards, and a skills marketplace, and Ryan Nystrom discusses spec-driven development as Notion's AI engineering workflow. Key strategies include building secure app templates for non-technical builders, measuring token usage across tiers from Beginner to AI God, and treating internal tooling as a product rather than a top-down program.
Key Facts
Author Takes
AI adoption leadership
The most important hiring criteria for AI-first companies are curiosity, agency, and energyānot tenure or experienceāand job descriptions should be rewritten accordingly.
24/7 AI utilization
The goal isn't just to use AI during work hours but to smooth token-usage curves so AI agents work around the clock, filling gaps when humans are unavailable.
Contrarian Angle
Gamified Internal AI Adoption via Quest Marketplace
John Kim built 'Automators', a gamified internal platform where any employee can post a 'quest' (automation request) and engineers or AI agents build it. Completers earn XP redeemable for gift cards or exec accessānot a mandate but a product.
Treats internal AI adoption as a consumer product with game mechanics rather than a top-down compliance program, driving organic participation.
Non-Technical Teams Shipping to Production via Pre-vetted App Templates
Sendbird created app templates with pre-configured auth, databases, and InfoSec-vetted security so marketers, salespeople, and CSMs can build and ship production apps themselves without engineering involvement.
Eliminates the engineering bottleneck for non-technical builders by pre-solving security and compliance, enabling marketing to ship a Stripe-integrated swag store with a Konami Code Easter egg in days.
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