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This article describes a new approach that supports sustained research efforts through a structured conversational framework, improving project management.
Conversational AI is usually used within a single chat: a researcher provides materials, asks questions, receives outputs, and continues until the task or the conversation ends. This works for bounded activities but becomes fragile when research extends across many sessions, evolving hypotheses, large repositories, operational tools, and long periods of time. This article describes a different approach. The chat is treated as a temporary cognitive session inside a persistent research environment. Authoritative project files represent the current state; a structured repository contains sources and artefacts; separate conversations perform defined cognitive tasks; scripts and operational agents execute mechanical work; and the human researcher controls scope, permissions, validation, and state transitions. The method requires substantial human supervision and organizational discipline. It does not automate research or guarantee an overall reduction in labour. It instead makes it possible to sustain a larger, more continuous, and more revisionable research process than isolated conversations can reliably support.
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Luca Cinacchio (2026) studied this question.
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