Beyond Bigger Models

The biggest performance gains in agents are no longer coming from larger foundation models.

The new high-leverage frontier is treating every component of the agent pipeline as its own optimizable model — memory systems, skill libraries, routing logic, tool interfaces, orchestration layers, and evaluation mechanisms.

This shifts agent engineering from prompt hacking and scale chasing to systematic, modular optimization across the entire stack.

This Ledger Entry expands how readers think about agent development by moving the focus from raw model size to architectural excellence and pipeline-level optimization.