A fast system that everyone interprets differently isn’t actually fast — it’s just fast at being inconsistent
Speed gets most of the attention when people evaluate infrastructure. How fast is execution, how fast is settlement, how fast can an agent complete a task end to end. Those numbers are easy to compare and easy to put in a chart, which is probably why they dominate the conversation. Standards — the shared rules that let different systems interpret the same action the same way — get a lot less attention, even though they’re arguably the harder and more consequential problem.
The reason standards matter so much in agent infrastructure specifically is that agents, unlike humans, don’t have room to interpret ambiguity. A person encountering an unclear instruction can pause, ask a question, or use judgment to fill the gap. An agent executing a multi-step workflow across several systems doesn’t have that luxury — if two systems in that workflow define “verified,” “settled,” or “authorized” even slightly differently, the mismatch doesn’t get caught by common sense. It just becomes an inconsistency somewhere downstream, discovered later, usually at a worse time than if it had been caught immediately.
This is what makes standards a harder problem than speed. Speed is a property of one system, and improving it doesn’t require anyone else’s cooperation. A shared standard requires everyone touching a workflow to agree on the same definitions and hold to them consistently, which is a coordination problem, not just an engineering one. A network can be extremely fast and still be unreliable if the systems agents pass through don’t share a common understanding of what a given action actually means.
That’s the case for treating standards as core infrastructure rather than an afterthought layered on once things are already fast. A structured standard for verification, governance, and agent interaction — the kind that defines what “identity,” “execution,” and “settlement” mean the same way across every layer of a stack — is what makes speed actually useful. Without it, a fast system is just a system that produces inconsistent results quickly instead of slowly.
None of this means speed doesn’t matter. It clearly does. But it’s worth being honest about which problem is actually harder to solve well, and which one determines whether a fast result can be trusted at all. A workflow that moves through several systems and several agents is only as reliable as the weakest shared definition connecting them — and that’s a standards problem before it’s ever a speed problem.
The infrastructure that ages well tends to be the kind that got the shared definitions right early, not just the kind that was fastest at launch.
Source: https://lithosphere.network/why-standards-matter-more-than-speed-in-agent-infrastructure/
