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In Episode 3 of AI Learned Today, Rufus Pollock and Daniela Popova talk honestly about a feeling many people have right now: “I use AI every day, but I still feel like I’m behind.” So the real question becomes: How do you move from occasionally using AI tools to actually integrating AI into your workflow? In this conversation, Rufus shares a few practical approaches that have helped him shift from using AI as a helper to working with AI as a collaborator. Key ideas from this episode • Delegate more to AI — don’t just ask it to help, ask what it recommends doing • Plan with AI from the beginning — use it to structure problems before starting work • Use a critique loop — ask the AI to critique and improve its own outputs • Give context — AI outputs improve dramatically when you provide detailed context Problems Daniela raises: • Feeling behind despite using AI daily • Difficulty moving from basic prompting → deeper workflows • AI losing context and memory during long iterations We’ll dive deeper into AI memory and checkpointing in the next episode. Timestamps 00:00 Introduction 00:22 Feeling behind in the AI era 01:25 Daniela’s question: how to go deeper with AI 02:55 Delegating work to AI 04:50 Planning with AI 06:00 Structured prompting 07:30 The critique method 09:20 AI memory problems