Rent the model, own the harness: how to build a model-agnostic AI agent

Werk describes building a model-agnostic agent harness for mobile teams, arguing the model understands and proposes while the harness decides what it reads, touches and records. It outlines four practices: calling models through an in-house interface, having agents request a level of work rather than a model, using a consistent input format, and placing stable content first for caching. It notes that agent SDKs handle the model-tool loop but not team-specific concerns like shared records, permissions and approvals tied to what a person saw.