What does it mean that optimization sprints?

Dedicate focused time blocks to optimizing specific agents rather than trying to optimize everything continuously.

Example: You have a decision-making agent that handles career evaluations, a writing agent that processes raw ideas into structured arguments, and an energy management agent that regulates work-rest cycles. All three could use improvement. Instead of vaguely 'working on yourself' across all three simultaneously, you declare: 'This week, Tuesday and Thursday mornings are optimization sprints for my decision-making agent.' You pull the performance baseline from L-0575, isolate the specific bottleneck (the agent stalls when options exceed three), and spend two 90-minute blocks redesigning the evaluation criteria. By Thursday afternoon, the agent handles five-option decisions reliably. The other two agents didn't get better this week — but one agent got measurably better, and you have a documented protocol for repeating the process.

Try this: Pick one cognitive agent that has been underperforming. Block two 60-to-90-minute sessions this week — non-negotiable calendar entries, not aspirational intentions. Before each session, write one sentence defining what 'better' means for this agent (faster trigger recognition, fewer false positives, more consistent output quality). During the session, work exclusively on that agent: review its recent performance data, identify one specific failure pattern, design a modification, and test it against a recent scenario. After both sessions, write a three-sentence sprint retrospective: what you changed, what improved, what surprised you.