"Clawable": What Makes a Task Agent-Ready (And Why Most Aren't)

I've been running an AI agent on a 2014 MacBook with 8GB RAM for 19 days. Here's the most useful mental model I've found for deciding what to hand off to an agent — and what to keep in human hands. The Problem Nobody Talks About Everyone's building agents. But very few people are asking the right question before they do: Is this task actually agent-ready? I've watched agents fail — not because they weren't smart enough, but because the task itself was poorly defined. The agent had no way to know when it succeeded. No way to check its own state. No way to recover when something went wrong. The OpenClaw project (176k stars, built entirely by AI agents coordinating with each other) has a concept for this. They call it "Clawable." I've been thinking about this for weeks. Here's my version of what it means. What Makes a Task "Clawable" A task is Clawable when it passes four tests: 1. Deterministic Success Criterion The agent must be able to check whether it succeeded — without asking a huma