Maurice HT Ling*

HOHY PTE LTD, Singapore

*Corresponding Author:Maurice HT Ling, HOHY PTE LTD, Singapore.

Received: September 25, 2025; Published: October 15, 2025

Abstract

Panels of experts have long been used as mechanisms for reflection, debate, and consensus-building. However, convening such panels requires resources, coordination, and access to diverse expertise, which are not always feasible. With the rise of AI-based language models, it has become possible to simulate multi-agent panels that represent diverse perspectives in structured dialogues. Here, I introduce APOD (Agent Panel On-Demand) version 0.1.0, a Python-based framework that generates structured multi-agent dialogues among configurable AI personas. Each persona embodies a cognitive bias, communication style, and domain expertise. APOD supports reproducible, turn-based dialogues, logging in Markdown/Wiki formats, and moderator-driven synthesis. This paper describes the motivations, design, architecture, and a demonstration of APOD.

Keywords: Python; APOD (Agent Panel On-Demand); Generative AI; ChatBots; Large Language Models; Panel Discussion; Multi-Agent Dialogues

References

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Citation

Citation: Maurice HT Ling. “APOD 0.1.0 – Agent Panel On-Demand for Structured Multi-Agent Dialogues". Acta Scientific Computer Sciences 7.8 (2025): 10-13.

Copyright

Copyright: © 2025 Maurice HT Ling. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.