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If you’ve spent time with OpenClaw, you’ll know that inference costs rapidly stack up. That's simply the cost of agentic AI – the more capable you make it, the more it costs to run, and you're the one that has to foot that bill.
Yet, a new project, dubbed Web4.0, caught attention this week and looks to shift that cost from us to the agent actually making the inference.
Two weeks ago, I wrote about the rise of OpenClaw and how its breakthrough came from making the heartbeat — a proactive loop where an agent wakes up on a set interval, scans its environment, checks for work, and executes tasks on its own — a default, widely available feature.
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