I want to test something. Not on you, exactly. On the series.

By this point, Engineering Intent has used a set of terms repeatedly across multiple domains. Attunement. Decomposition. Accommodation. Drift. Fidelity. Governance. These words showed up in posts about enterprise software, kitchen design, AI systems, prose structure, music sequencing, education. The question I want to ask is whether these words are alive for you now. Whether they carry weight that they didn’t carry when you first encountered them.

This matters because there are two ways to build a vocabulary. You can define the terms and then use them. Or you can use the terms in specific situations and let the definitions accumulate from the incidents. The first approach is efficient. The second is durable. I’ve been trying to do the second, and this is the checkpoint where I find out if it worked.

Take attunement.

If the series did its job, “attunement” doesn’t mean “paying attention.” It means something more specific. It means reading the surfaces of a situation to detect the actual structure underneath, especially when the actual structure differs from the stated or assumed one. The Encore posts showed attunement as reading a product’s accumulated drift by looking at the small discrepancies that nobody filed tickets for. The kitchen posts showed attunement as reading a household’s actual capacity on a given morning by noticing which executive functions are available and which aren’t. The AI posts showed attunement as reading a language model’s processing profile to determine what kind of governance it needs.

If “attunement” now triggers all three of those contexts simultaneously, the term is alive. If it still just means “paying attention,” the incidents weren’t specific enough to build the meaning.

Take drift.

Drift was introduced through the Encore recruiter dashboard. A four-pixel padding discrepancy. Nobody files a ticket. Multiply by twelve years. The product stops looking like one product. But drift also showed up in voice governance (an AI model’s output drifting from the established voice within three exchanges), in household systems (a morning routine that gradually accumulates exceptions until the routine is unrecognizable), and in this series itself (the risk that a 191-post series drifts from its own thesis as the domains multiply).

The term should now carry a specific feel: the slow, invisible erosion of coherence through individually reasonable decisions. If it does, you understand drift. If it still feels like a synonym for “things change,” the posts need more concrete detail.

Take fidelity.

Fidelity is the measure of whether the output matches the intent. High fidelity means the thing that shipped is recognizably the thing that was designed. Low fidelity means something got lost in translation. The term operates in every domain this series has covered. A design system with high fidelity produces consistent output across teams. A voice protocol with high fidelity produces prose that sounds like the human it was extracted from. A kitchen system with high fidelity produces results that match the cook’s intent regardless of the cook’s cognitive state that day.

The important distinction is between fidelity and quality. A system can produce high-quality output with low fidelity (the output is good, but it’s not what was intended) or low-quality output with high fidelity (the output is exactly what was intended, but the intention was wrong). Fidelity measures the gap between plan and execution. Quality measures whether the plan was good. They’re separate axes.

Take governance.

If the series worked, governance doesn’t sound like bureaucracy or policy or compliance. It sounds like the layer that holds the baseline so humans can spend their judgment on things that deserve judgment. Governance absorbs the decisions the system shouldn’t be asking people to make. It makes the default path produce the correct output. Deviation requires intent instead of consistency requiring vigilance.

The SCSS cascade was governance. The voice protocol is governance. The import order in a well-structured codebase is governance. The spatial arrangement of a kitchen where the olive oil lives next to the stove instead of in a cabinet across the room is governance. Each of those examples should now feel like instances of the same operation, not metaphors.

Take decomposition.

Breaking a system into components with clean boundaries. Finding the joints. The SCSS post decomposed a styling system into variables, mixins, partials, and import order. The tokenization post decomposed tacit methodology into named skill atomics. The novel post decomposed narrative attention into three registers. The kitchen posts decomposed meal preparation into parallel workflows.

The term should feel structural, not reductive. Decomposition isn’t simplification. It’s finding the seams where a complex system naturally separates into pieces that can be addressed, modified, and composed independently. The gestalt survives. The joints become visible.

Take accommodation.

The thesis term. The one that holds all the others together. Accommodation means building the system for the human who actually exists, not the human the system assumes. Everyone should be able to live a quality life. The systems make that reachable. Accommodation in enterprise means encoding the baseline so engineers aren’t taxed by micro-decisions. Accommodation in the kitchen means building workflows that work on a bad brain day, not just a good one. Accommodation in AI means building governance that keeps the machine’s output faithful to the human’s intent.

If these six terms now function as a working vocabulary (if you can apply them to a new situation I haven’t described and they help you see something you wouldn’t have seen without them) then the series has taught them through incidents rather than definitions.

If they still feel like jargon, I owe you better stories. The terms earn their place through specificity, and there are a lot of posts left to make them more specific.

That’s the honest check-in. The vocabulary is either alive by now or it isn’t. If it is, everything that follows builds on it. If it isn’t, I need to know where the gap is, because the next movement of the series depends on these terms carrying weight.