🎙️ How I AI: Quests, token leaderboards, and the elite AI adoption playbook & Notion’s spec-driven development

2026-05-11 · Source: Lenny's Newsletter · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Robotics & Autonomous Systems · Depth: Advanced, extended

Summary

John Kim, co-founder and CEO of Sendbird, outlines an "AI adoption playbook" centered on treating internal AI tooling as a product rather than a program. His company, Delight.ai, implements a gamified "Automators" platform where employees create "quests" for automation, which engineers or AI agents fulfill, earning experience points redeemable for rewards. This approach fosters creativity, enabling non-technical teams, like marketing, to rapidly build complex tools such as an e-commerce swag store with Stripe integration in days. The strategy emphasizes providing secure, compliant app templates for non-engineers, measuring token usage without shame through a tiered leaderboard (Beginner to AI God, over 100M tokens/day), and aiming for continuous AI operation to "smooth the curve" of token consumption. A cross-functional AI task force, led by an AI Engineer for Internal Operations, unblocks challenges and vets tools, while hiring prioritizes curiosity, agency, and energy over traditional experience.

Key takeaway

For CTOs and engineering leaders aiming to accelerate AI adoption, focus on building an internal AI product that empowers non-technical teams. Implement a "quests" system and provide secure, pre-vetted app templates to enable rapid, creative development. Measure token usage to identify "AI Gods" and tailor enablement, fostering a culture where AI works around the clock and curiosity drives innovation, rather than solely relying on traditional engineering roadmaps.

Key insights

Gamified internal platforms and secure templates drive rapid, creative AI adoption across all organizational roles.

Principles

• Treat internal AI tooling as a product.
• Measure token usage to guide enablement.
• Prioritize curiosity, agency, and energy in hiring.

Method

Implement a "quests" marketplace for internal automation requests. Provide pre-configured, secure app templates. Track token consumption with tiered leaderboards. Establish a cross-functional AI task force.

In practice

• Build a gamified internal platform for AI requests.
• Create secure, compliant app templates for non-engineers.
• Monitor token usage with a tiered leaderboard.

Topics

• AI Adoption Strategies
• Gamified Internal AI
• AI Token Leaderboards
• Spec-Driven Development
• AI Coding Agents

Best for: Executive, MLOps Engineer, CTO, Director of AI/ML, AI Engineer, Consultant

Related on AIssential

• Quests, token leaderboards, and a skills marketplace: the elite AI adoption playbook | John Kim — Empowering non-technical teams with AI-building platforms accelerates internal innovation and fosters an AI-first company culture.
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Editorial summary, takeaway, and curation by AIssential. Original article published by Lenny's Newsletter.