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AI workflows have two needs that trade off directly. Running reliably in production requires persisting and distributing every step so it survives crashes, deploys, and restarts. But that same machinery is what makes runs too heavy for the…
The next version of MCP has a rewritten, stateless core that just works on Workers. We cover upgrades to the protocol, the new feature lifecycle and SDK migration path, and hear from early adopters already running it in production.
More than half of requests now come from machines, not people. Agent Readiness shows how well agents can discover and read your site, while Answer Engine Optimization tracks how often AI assistants recommend you.
Why AI Reliability Is an Execution Problem, Not a Model Problem The most dangerous AI decision isn’t the wrong one. It’s the one nobody can explain afterward. Most conversations about AI reliability start in the wrong place. They start…