Tutorial

TL;DR: This is Part 1 of the “AI Path L1→L2 Upgrade Guide” series. Four parts total, one per week of practice. This article takes you from chat windows to APIs—automating your AI interactions through code, laying the foundation for batch processing and autonomous task-execution AI. Introduction: From “I Ask AI” to “Programs Ask AI” If you finished the L0→L1 graduation checklist, you might remember one line from the graduation post: “Register for an API account and use Python to print your first AI reply.” Today is that day. ...

📖 This is Part 5 of 5 in the “AI Path L0→L1 Upgrade Guide” series — Series Navigation + Graduation Checklist. Series Navigation Part Topic Core Content Part 1 Understanding Your Tools LLM fundamentals (not a search engine), working memory vs. long-term memory, mainstream platforms and specialized tools Part 2 From Vague Questions to Precise Instructions The RBGO prompt framework, Chain-of-Thought reasoning, format constraints Part 3 Turning AI Into Your Collaboration Partner Iterative follow-up questions, context management (new conversations / progress summaries / chunked processing), role-playing Part 4 Building Your Personal System Prompt library, scenario-to-tool mapping (international and China options), layered knowledge management Part 5 Graduation & Next Steps L1 graduation checklist, L1→L2 dual-path preview ...

📖 This is Part 4 of 5 in the “AI Path L0→L1 Upgrade Guide” series. Part 1: Understanding Your Tools · Part 2: From Vague Questions to Precise Instructions · Part 3: Turning AI Into Your Collaboration Partner · Part 4: Building Your Personal System · Part 5: Graduation & Next Steps Over three weeks we’ve picked up follow-up questions, context management, role-playing… the skills are piling up, and here’s the problem: how do you manage all these scattered abilities in one place? Week 4 is about exactly that — building a prompt library, choosing the right tools, and setting up knowledge management. Turning what you’ve learned into a personal system. ...

📖 This is Part 3 of 5 in the “AI Path L0→L1 Upgrade Guide” series. Part 1: Understanding Your Tools · Part 2: From Vague Questions to Precise Instructions · Part 3: Turning AI Into Your Collaboration Partner · Part 4: Building Your Personal System (coming soon) · Part 5: Graduation & Next Steps (coming soon) TL;DR: Three core skills — follow-up iteration (the first answer is almost never the best), context management (periodic summaries, start fresh after ~20 turns, split complex tasks), and role-playing (assigning a role changes output depth). This week’s practice focus: deliberately run a 15+ turn long conversation and proactively do a progress summary. ...

📖 This is Part 2 of 5 in the “AI Path L0→L1 Upgrade Guide” series. Part 1: Understanding Your Tools · Part 2: From Vague Questions to Precise Instructions · Part 3: Turning AI Into Your Collaboration Partner (coming soon) · Part 4: Building Your Personal System (coming soon) · Part 5: Graduation & Next Steps (coming soon) In the last part we covered how LLMs actually work, how their memory operates, and the key differences between major platforms. Starting this week, we move into practice — how to turn what you want to say into instructions that AI can understand precisely. ...

📖 This is Part 1 of 5 in the “AI Path L0→L1 Upgrade Guide” series. Series navigation will be updated once all parts are published. Introduction: Sound Familiar? I’ve watched a lot of friends use AI tools, and I keep noticing the same pattern. They’re not strangers to ChatGPT or Claude—they use them casually from time to time—but their experience is wildly inconsistent. Sometimes the AI delivers a jaw-dropping answer; other times it completely misses the point, producing something unusable. ...