Context engineering: the agent's brain

A capable model is only as good as what you put in front of it. Give it nothing about your company and it answers like a stranger. Give it the right facts, in the right shape, and it answers like someone who works here. The difference is not the model. It is the context.

We think of context as something you design, not a prompt you paste once and forget. A wall of text is hard to maintain, hard to reason about, and tends to bury the detail that mattered. So Dyeu builds context out of small, structured pieces we call context blocks.

Blocks, not one big prompt

Each block does one job. One holds operating principles, the way the agent should think and write by default. Another holds your company specifics. Another might hold how you handle support, or the way you describe your pricing. Because they are separate, you can edit one without disturbing the rest, and you can read the whole thing and understand it.

Some blocks are authored. You write them, you own them. Others keep themselves current from a source you point them at, so the context reflects what is true now instead of what was true the day you set it up.

Composed per turn

The agent does not pour every block into every reply. On each turn it composes the blocks that fit the question in front of it. A pricing question pulls the pricing block. A note to a customer pulls your voice. The result is context that is relevant rather than merely large, which keeps replies sharp and grounded.

Why it feels like it knows you

When people say an agent "gets" their company, this is usually what they are reacting to. Not a bigger model, but better context, arranged so the right piece shows up at the right moment.

• Structured, so each piece is clear and editable.
• Composable, so the agent assembles the right set per turn.
• Living, so some pieces stay current on their own.

Good context is the quiet work behind a good answer. It is worth engineering.