Codex Astra Exposes AI’s Token Waste

More capable models make orchestration discipline essential: the real metric is useful work per token, not raw model activity.

• –Audit token usage by completed task, model, implementation, coordination, and review.
• –Reuse evidence when repository state is unchanged instead of replaying full context.
• –Route simple documentation fixes directly and reserve delegation for genuinely independent work.
• –Use acceptance criteria and bounded review loops to prevent endless polishing.
• –Cross-model reviews should focus on repair diffs and unresolved findings, not unchanged code.