Single Agent or Multi-Agent? How I Decide
Multi-agent systems are trendy right now, but most tasks do not need them. Here's the decision framework I use before splitting a workflow into multiple agents.
Context Windows Are the Bottleneck Nobody Talks About
Context window limits shape every decision in multi-agent AI systems. Here's why this constraint matters more than model choice.
Vector Search for Agent Memory: Why It Matters
Keyword search fails when AI agents need to recall context. Vector search finds what matters even when the words do not match. Here's how I use it.
The Orchestrator Pattern: One Agent to Rule Them All
When you have dozens of AI agents, someone needs to be in charge. Here's how the orchestrator pattern keeps everything coordinated without chaos.
Factory Patterns for AI Agents: Stop Rebuilding the Same Thing
Every new AI agent I built started from scratch until I implemented factory patterns. Here's how reusable templates changed my entire agent architecture.
How PRISM Gives Every AI Agent a Consistent Personality
AI agents sound generic by default. PRISM is the framework I use to give each agent a distinct, consistent voice across every interaction.
The 6-Layer Memory System That Makes AI Agents Actually Useful
AI agents forget everything between sessions. Here's the 6-layer memory architecture I built to fix that, and why it changes everything.
