Nate B Jones recommends fixing the data before giving an agent access to it by establishing a source of truth, defining schemas, building validation, and deciding which system wins in case of disagreement.

Nate B Jones recommends having clarity of intent around workflows and specific business requirements to build agentic software quickly and effectively.

Nate B Jones discovered at Prime Video that underlying data must be clean all the way down the stack to provide useful customized customer experiences.

Nate B Jones predicts that sticking an OpenClaw agent over existing data issues and pretending it will work will fail.

Nate B Jones predicts that jumping straight to building agentic software without clear intent will result in generic, average software based on the LLM's average idea.

Nate B Jones states that Factory.ai's agent readiness framework evaluates codebases against eight technical pillars including style, build systems, testing, and security.