An Anthropic engineer shares how he earns $350K–$950K building AI agent systems: “I know how to build harnesses. Most developers still connect multiple AI agents manually and struggle to make them work reliably. I build systems that run continuous loops, use sandboxed environments, and turn previous execution logs into new skills. Same model. 10x more reliable agents that learn and improve while you sleep.” Opus 5.5 → Agents → Harnesses → Loops → Graphs In a short workshop, he breaks down how to build the entire system from scratch: Step 1 → Build a harness to manage control loops, context, and sandboxed tools. Step 2 → Separate the model from its tools to generate the first token up to 60% faster. Step 3 → Deploy agents on servers and recover from crashes using execution logs. Step 4 → Use retries and replays to handle failures without rebuilding the entire system. Step 5 → Turn execution history into memories that help agents get better over time. Anthropic refers to this process as “dreaming.” Instead of spending weeks building everything manually, learn a more efficient way to create reliable AI agents. Bookmark this workshop. You’ll want to come back to it.