Why multi-agent decision making needs selective memory to achieve robust synthesis.

Introducing the before_model_select hook: A powerful way to implement dynamic model routing in AI applications.

A five-layer architecture for building AI assistants that are autonomous, cost-efficient, and secure

How to isolate autonomous AI agents using lightweight VMs to prevent prompt injection and credential exfiltration

Use a tiny local LLM to intelligently route requests to the right model pool, eliminating wasted API calls

Why and how to split your Hugo blog into two repositories - infrastructure separate from content - for cleaner workflows with Obsidian.

A template for creating unambiguous, self-verifiable task definitions that enable AI agents to work autonomously without constant clarification.

How to organize multi-task implementations using dependency-aware waves for maximum parallelism - and why theoretical speedups rarely match reality.