Tag
This article introduces the evolution of three LLM interaction paradigms: from web chatbots to standalone AI apps, and then to organization-embedded AI (such as Claude Tag and Glean Agents). It focuses on Claude Tag's shift from 'one AI per person' to 'one AI per channel', as well as the four pillars of Glean's production-grade independent agents.
This paper presents a systematic analysis of three agent interaction paradigms (Generator-Evaluator, ReAct Loop, and Adversarial Evaluation) implemented in the buddyMe framework, with empirical case studies from real-world deployments. It formalizes a five-stage pipeline and a six-dimensional evaluation schema, offering practical design guidelines for multi-paradigm agent systems.