08/06/2026
💀 Two developments last week that agency leaders should read together ❌
First: Cursor removed cost information from its usage dashboard and CSV export. The forum response was substantial, teams asking a basic operational question about what their AI tooling actually costs per project. For agencies billing clients, per-project cost attribution isn't a nice-to-have. It's the margin.
Second: At the AI Engineer World's Fair, both a UC Berkeley computer science professor and the CEO of Neo4j independently argued that agentic systems require deterministic structural layers to be reliable at scale. Their term for the resulting architecture: thin agents on a shared semantic substrate.
The technical argument is that LLMs are strong probabilistic reasoners and weak architectural decision-makers. Reliability doesn't come from a more capable model. It comes from constraints the model cannot override.
This represents a meaningful shift. For two years the assumption was that reliability would arrive with capability. The emerging position is that reliability arrives with structure.
For agencies, the practical distinction is where that structure sits.
Validation layers bolted on top of code-generating agents catch errors after generation. They are an improvement, and they are also another subscription, another integration, another system to maintain per project.
Structure placed underneath produces a different outcome: nothing unvalidated is generated in the first place.
That is Makyo's architecture.
--> AI expresses intent.
--> A deterministic compiler assembles applications from pre-validated primitives.
--> Cost is predictable because inference is minimal and fixed per app, not variable per session, which also means cost attribution per client project is straightforward.
This week's Logic Layer covers the full picture, including the criticism of visual builders that applies most directly to our own approach.
👇Link in comments.
