One brand. A focused purpose.
Help agents do work worth keeping.
Agent Optimization is an editorial project about making AI-agent work more useful, inspectable and dependable.
Agent Optimization Memo
The memo is the current editorial format: a concrete decision, the evidence behind it, the circumstances where it does not apply and a bounded way to check it.
Methods, not magic
Reusable methods can help when they solve a real repeated problem. These worksheets are proposals. They do not establish a maintained skill product, an automatic optimizer or a performance advantage.
An executive is a future idea
Agent Optimization Executive describes a possible future direction, not an available service. No autonomous business operation or customer-specific optimization is offered here.
How the editorial method works
Start with a concrete operating problem. State who the method applies to and who should skip it. Separate source claims from proposed checks, preserve limitations and use a defined acceptance condition. New content is reviewed for internal consistency and source scope; that does not establish real-world effectiveness. Recommendations may be keep, change, skip or investigate.
What you can use today
Read the free sample and practical worksheets. Decide separately whether a proposed check is relevant, safe and authorized in your environment. No account or payment is requested.