01
Intelligent Model Routing
Match the model to the work instead of paying frontier-model prices for every task.
The One Skill · Field-tested system
Stop using your most expensive AI for everything.
These are the four controls I introduced while coordinating 16 development projects across a multi-model agent team. They are designed to make AI development more deliberate, more verifiable, and dramatically less wasteful.
About 90% lower overage spend
In my observed active-development window after the controls went live. Your results will depend on models, workload, and usage.
What is inside
Four operating controls—not four magic prompts.
Each skill changes how an agent makes resource decisions throughout the work. Together they create a practical cost-control layer around an AI-native development process.
02
Intelligent Reasoning Effort
Use deeper reasoning where risk and ambiguity justify it—and lighter effort where they do not.
03
Intelligent Context Compression
Preserve the decisions and evidence that matter without repeatedly carrying an entire project history.
04
Intelligent Cache Management
Reduce waste from unnecessary model switching while preserving the ability to escalate when the task changes.
Important context
Built for my system. Designed to be adapted to yours.
My workflow uses a central coordinator plus Codex, Claude, Grok, and GLM agents across several concurrent projects. The files make explicit references to those roles, tools, review standards, and development assumptions.
The download hub includes an adaptation guide.
- Map my agent roles to the people and models in your system.
- Replace provider-specific model names with your own approved options.
- Tune risk tiers, reasoning levels, compression thresholds, and cache rules.
- Keep tests, source control, and production evidence—not model confidence—as truth.