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Zach Lloyd, CEO of Warp ($1M ARR growth every 10 days), reveals how to build AI agents that developers actually pay for. He breaks down the exact frameworks for profitable agent development, and shares his controversial take on why most AI products are built the wrong way. ----- Full Writeup: https://www.news.aakashg.com/p/zach-l... Transcript: https://www.aakashg.com/the-ai-pms-gu... ---- Timestamps: 00:00 Intro 02:00 How big is Warp 08:27 How he made Warp 14:53 Ads 15:42 Why Most AI Agents Fail at Launch 16:37: UX process on an AI agent 19:35 Live Demo: Building AI Agent with Warp 29:32 Ads 31:05 Systems That Drive Adoption 38:25 Workflow to build AI Agents 46:15 How to choose right metrics for your Agent 53:00 How to Actually make Money with AI Agents 59:24 Why Traditional SaaS Pricing Breaks 1:06:00 AI Agents will change the way you work 1:11:25 Outcome-Based Pricing Strategies 1:17:50 Roadmap to Build Ai Agents 1:10:55 Outro ---- Thanks to our sponsors: 1. Vanta: Automate compliance, manage risk, and prove trust - http://vanta.com/aakash 2. Kameleoon: Leading AI experimentation platform - http://www.kameleoon.com/ 3. Amplitude: The market-leader in product analytics - https://amplitude.com/session-replay?... 4. The AI Evals Course for PMs: Get $1155 off with code ‘ag-evals’ - https://maven.com/parlance-labs/evals... ---- Key takeaways: 1. Find Where People Hate Rules: Look for workflows where users write algorithms, formulas, or complex syntax. Zach discovered developers were already telling computers what to do through terminal commands - they just needed to do it in English. 2. Apply the $20 Intern Test: Ask what tasks you'd give a smart college intern. Focus on time-consuming work requiring intelligence. If you wouldn't pay someone $20/hour for it, don't automate it. 3. Check If It Really Hurts: Test against four criteria: frequency (weekly use), expertise barrier (requires learning), Google dependency (users search "how to"), and time cost (saves hours). Most failed AI features only hit one criterion. 4. Make Old Things Smarter: Don't add chat panels. Make existing interfaces understand natural language. Users already express intent through formulas and commands - make those conversational instead of teaching new behaviors. 5. Help When People Get Stuck: Surface agent suggestions during error states, not randomly. When users hit errors, auto-suggest "Let agent fix this" with one-click activation. 6. Start Small, Grow Trust: Begin with simple, safe capabilities and add tools as users get comfortable. Week 1: basic requests. Month 3: complex workflows with approval gates. 7.Don't Let Power Users Bankrupt You: Fixed subscriptions make power users unprofitable. A user with 2,000 monthly interactions costs $80 in API fees while paying $50 subscription. 8. Price Like Cell Phone Plans: Use base subscription plus overages. Give predictable costs for normal usage but protect margins on heavy use. Users understand and prefer this model. 9. Charge for Results, Not Usage: When possible, price based on outcomes like resolved tickets or completed tasks rather than conversations. Aligns your success with customer value creation. 10. Catch the Next Wave: Three phases exist - autocomplete (done), interactive agents (current opportunity), full automation (future). Most industries are still in phase one, creating first-mover advantages. ---- Where to find Zach: LinkedIn: / zachlloyd X: https://x.com/zachlloydtweets?lang=en Warp: https://www.warp.dev/ ---- Where to find Aakash: Twitter: twitter.com/aakashg0 LinkedIn: linkedin.com/in/aagupta/ Newsletter: news.aakashg.com #aiagents #productmanagement #artificialintelligence ---- About Product Growth: The world's largest podcast focused solely on product + growth, with over 187K listeners. Hosted by Aakash Gupta, who spent 16 years in PM, rising to VP of product, this 2x/week show covers product and growth topics in depth. Subscribe and turn on notifications to get more videos like this.