Making complex AI concepts understandable for humans
CrowdStrike and NVIDIA's AI Agent security blueprint: Secure-by-Design architecture with four-layer protection and intent-aware controls, analyzed from SFD's multi-agent perspective
Meta AI agent went rogue causing Sev 1 incident. Five permission design principles from real multi-agent operations.
AI has no brain, but how does it remember conversations, knowledge, and experience? This article breaks down the three key memory mechanismsโContext Window, Vector Database, and RAGโwith real insights from SmallFireDragon Lab.
Token does not equal character count! This article explains tokenizers, BPE algorithm, why Chinese costs more tokens than English, and how to estimate token usage.
Chapter 5: Safe Lobster Keeping Guide โ Three principles: protect your API keys, apply least-privilege permissions, and run regular behavior audits. Power and responsibility scale together. Lessons from Small Fire Dragon Lab's real incidents.
Chapter 1: What Is a Lobster? (What Is OpenClaw?) โ ChatGPT is a chat window; a lobster is an employee who works for you. Memory, tools, skills, and a 24/7 schedule transform raw AI into a reliable digital worker.
Chapter 2: The Core Principles of a Lobster โ Four organs make a complete agent: LLM (IQ), Memory (hippocampus), Skills (muscle memory), Cron (biological clock). High IQ alone does not make a reliable employee.
Chapter 3: What Can a Lobster Do? โ Real results from Small Fire Dragon Lab: 8 agents, 23 skills, 2 websites live, running 24/7. In 6 days, a non-coder built and launched a full digital operation. Here is the proof.
Chapter 4: How to Raise a Lobster the Right Way โ Employee mindset vs. tool mindset. Give context, standards, and feedback. Agents grow better with clear onboarding, specific briefs, and memory files rather than one-shot prompts.