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 believes that in the world of AI, meaningful work can be done very quickly, but the old way of looking at transactions (multiple years) has not caught up.

Nate B Jones predicts that if users lack clarity of intent and simply ask OpenClaw to 'vibe code' a CRM, the result will be 'trash' reflecting generic workflows.

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

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 believes that the explanation artifact in the generative era is essentially what the commit message was in the traditional software engineering era.