AI RESEARCH
Nurture-First Agent Development: Building Domain-Expert AI Agents Through Conversational Knowledge Crystallization
arXiv CS.AI
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ArXi:2603.10808v1 Announce Type: new The emergence of large language model (LLM)-based agent frameworks has shifted the primary challenge in building domain-expert AI agents from raw capability to effective encoding of domain expertise. Two dominant paradigms -- code-first development, which embeds expertise in deterministic pipelines, and prompt-first development, which captures expertise in static system prompts -- both treat agent construction as a discrete engineering phase preceding deployment.