Elie Schoppik leads Technical Education at Anthropic, where he builds Claude Code’s learning-first workflows and Anthropic Academy to help teams verify outputs, instead of just consuming them.Before Anthropic, Elie co-founded early ed-tech products and Rhythm School, a Bay Area coding bootcamp that trained thousands of developers. With a background at the intersection of pedagogy and engineering, Elie’s work is focused on designing exercises, evals, and prototype workflows that teach durable judgment and make AI adoption safer and more useful.In this episode, Elie shares concrete frameworks, playbooks, and hands-on exercises that product and engineering leaders can use to make AI a tutor for their teams, instead of a brittle shortcut.--What You’ll learn:Why Claude Code’s learning mode forces people to think with the model, not just copy answersHow the Model Context Protocol (MCP) unlocks reliable model ↔︎ data integrations across Gmail, Drive, Slack, and moreThe end-state prototyping pattern - using screenshots and examples to iterate quickly toward “what good looks like”Why evals (unit tests for LLMs) are critical to avoid brittle deployments and false confidenceHow to run short, hands-on sprints that beat long training courses for team adoptionThe self-improving loop: using Claude Code + quizzes to grade, explain, and retrain learning workflowsAnthropic Academy’s resources for non-technical and technical learnersElie’s vision for AI as a personalized tutor - adapting to each learner’s style, pace, and goals--What's covered:(02:29) Elie’s background and leading technical education at Anthropic (03:41) How AI education differs from coding (07:15) Anthropic’s products: Claude Code, MCP, and model actions (17:36) Why examples and context matter in prompting (18:45) Context engineering: narrowing tasks to get better model output (19:59) Core topics to study beyond tool use (32:26) Role of education in helping companies join the “successful 5%” (35:37) Hackathons as a catalyst for AI adoption in organizations (44:59) Dopamine hits, quick wins, and why they matter in AI learning (49:03) Can mastering AI tools reduce “AI anxiety”? (50:47) Balancing speed vs. responsibility in an AGI timeline (52:29) Anthropic Academy resources for technical + non-technical teams (55:17) What excites Elie most about the future of AI learning (56:03) How parents can prepare kids for an AI-driven future—Brought to you by Autoskills (https://autoskills.ai) – Helping teams go from AI-curious to AI-ready with tailored workshops and hands-on adoption.—Where to find Elie Schoppik:Twitter/X: https://x.com/eschoppikLinkedIn: https://www.linkedin.com/in/eschoppik/Anthropic: https://www.anthropic.comWhere to find Haroon Choudery:LinkedIn: https://www.linkedin.com/in/haroonchoudery/X: https://x.com/haroonchoudery

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