Model Routing Made My AI Agents Cheaper. It Didn't Make Them Easier to Trust.
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Practical model routing for cost optimization with trust considerations, directly relevant to AI agent orchestration.
Model routing reduces AI agent costs by assigning cheap models to routine tasks and reserving expensive ones for complex work, but it does not solve trust in agent outputs. The author uses Sol Advisor with Codex to enforce a workflow that separates architecture, implementation, and review, requiring a structured work packet with explicit scope, constraints, and verification steps. The key insight is that agent capacity accelerates producing untrustworthy results unless a formal review procedure catches out-of-scope changes and missed assumptions.