Marcus Rossi

Architecture, not model selection, determines whether agentic AI succeeds or fails in production.

Poor tool descriptions, not flawed algorithms, are what make multi-tool agents fail.

Allocate your latency budget across each pipeline stage or watch your agent feel slow.

Agents fail in production when they can't access fresh data about the world.

Language models need cleaner web data than humans do, and most scrapers miss it.

Make search foundational to agent design, not an optional tool bolted on when freshness matters.