Quests, token leaderboards, and a skills marketplace: the elite AI adoption playbook | John Kim

ℹ️ EPISODE INFO

Released

May 6, 2026

Duration

42m

Channel

How I AI

Watch on YouTube

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📝 EPISODE DESCRIPTION

John Kim is the co-founder and CEO of Delight.ai, a customer experience platform that’s transforming how companies deploy AI. But what makes John’s story fascinating isn’t just his product; it’s how he’s turned his entire company into an AI-native organization. His marketing team built a fully functional e-commerce swag store with Stripe integration in days. His sales team built their own CRM tools. His recruiting team automated their entire workflow. And it’s all tracked, measured, and celebrated through an internal platform called Automators. *What you’ll learn:*

1. How Sendbird’s marketing team built a fully functional swag store with Stripe integration in a day (with no engineering support)
2. How the Automators platform works—an internal marketplace where anyone can request AI tools and engineers (or AI agents) can build them
3. How to create secure, compliant templates so non-technical teams can ship to production safely
4. How Sendbird built a token usage dashboard with five tiers (beginner through AI God) and why tracking the smoothness of the curve matters more than the total
5. Why visible leadership usage is the most powerful adoption signal
6. Why Sendbird rewrote job descriptions to prioritize curiosity, agency, and energy over years of experience
7. How John uses AI for his own learning

*Brought to you by:* WorkOS—Make your app enterprise-ready today: https://workos.com?utm_source=lennys_howiai&utm_medium=podcast&utm_campaign=q22025 ThoughtSpot—Build AI-powered analytics into your product: https://go.thoughtspot.com/howIAI *In this episode, we cover:* (00:00) Introduction to John Kim (02:45) The Delight.ai swag store built by marketing in two days (05:51) The before times: when fun had to earn its place on the roadmap (07:55) Demo: The Automators platform and quest system (13:47) The AI Engineer for Internal Operations role (16:06) Demo: The company-wide skills marketplace (17:19) Treating AI adoption as a product (18:43) Real wins: team-level and campaign examples (21:51) Why SaaS isn’t dead—it’s being rebuilt internally (23:46) Demo: The token tracking dashboard (26:32) Measuring without fear: setting expectations, not punishments (28:54) Quick recap (30:51) Personal AI use cases: endless knowledge at your fingertips (36:15) Lightning round and final thoughts *Tools referenced:*

• Claude Code: https://claude.ai/code
• Codex (OpenAI): https://openai.com/codex
• Obsidian: https://obsidian.md
• GitHub: https://github.com
• Stripe: https://stripe.com

*Other references:*

• Jason Levin (CEO of Memelord) on How I AI: https://www.lennysnewsletter.com/p/from-a-690-newsletter-to-3m-api-how
• Konami Code: https://en.wikipedia.org/wiki/Konami_Code
• Andrew Huberman’s podcast: https://hubermanlab.com/
• Y Combinator: https://www.ycombinator.com/

*Where to find John Kim:* X: https://x.com/doshkim Instagram: https://instagram.com/dosh LinkedIn: https://www.linkedin.com/in/doshkim/ Company: https://delight.ai Delight.ai Spark Conference (May 7, SF): https://delight.ai/spark *Where to find Claire Vo:* ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._

🎤 SPEAKERS

• John Kim

  guest

  Founder and CEO of Sendbird, focused on AI adoption and internal enablement systems.

• Claire Vo

  host

  Product leader and host of How I AI.

🧾 EPISODE SUMMARY

In this episode of How I AI, featuring John Kim and Claire Vo, Quests, token leaderboards, and a skills marketplace: the elite AI adoption playbook | John Kim explores sendbird’s AI adoption playbook: quests, leaderboards, and internal marketplaces Sendbird empowered non-engineering teams (especially marketing) to ship production-grade experiences—like a full swag store with Stripe—in days using AI-assisted building.

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