Why Completions Exists
The Problem I Saw
I kept seeing the same pattern: teams would build impressive AI agent demos, get executive buy-in, then spend months debugging production failures that better architecture would have prevented. The gap wasn't talent — it was that production agent architecture is a new discipline, and there weren't practical resources for it.
What I Built
Completions is the resource I wish existed when I started building agent systems. 20 in-depth articles covering every stage from first agent to multi-agent orchestration. 5 production-ready Python templates. A diagnostic assessment that identifies your biggest bottleneck. And expert review services for teams that want a second opinion.
My Approach
I believe in three things:
- Architecture decisions matter more than framework choices.
- You learn faster from proven patterns than from trial and error.
- Templates should make decisions for you, not give you more options.
Find Your #1 Bottleneck — Free
The AI Leverage Assessment identifies your biggest architecture gap in 2 minutes.