One agent or many? How to choose an architecture
When a single assistant is enough — and when you need specialists that delegate.
Notes from production
Practical writing on AI agents, retrieval, automation, and getting found by AI search — from systems we actually run.
In the works
Each one comes out of a system we've actually shipped.
When a single assistant is enough — and when you need specialists that delegate.
Chunking, retrieval quality, and evaluation — the parts that decide whether it works.
Structured data, entities, and the signals that make an LLM recommend you.
Not the hardest job. Not the most impressive one. The one with the clearest rules.
People ask ChatGPT who to hire. Here is how businesses end up in the answer.
A simple checklist to find the hours hiding in your team's week.
Meanwhile
The case studies go deeper than most articles would — real systems, real numbers.
Five builds with the challenge, the architecture, and the measured outcome.
What an agent actually is, the eight types we build, and how they're architected.
How businesses end up inside AI answers instead of below them.
The repetitive work we see in nine sectors, and what we automate first.
Tell us what you're trying to figure out. If it's a question we've had to solve, we'll write it up — and answer you directly in the meantime.
Or email hello@ameoweb.com