# Full Credits Matthew is a generative AI platform designed to enhance teaching and learning at Chiang Mai University in Thailand. Developed through a collaborative effort by a diverse team of faculty members, Matthew embodies a shared passion for leveraging AI to drive educational innovation. Matthew was conceived in late 2023, trialled in 2024 and released university-wide on February 14, 2025. * **Lead developer** -- Kamonphop Srisopha * **Backend architecture** -- Ratsameetip Wita, Chaiy Rungsiyakull * **Project lead** -- Arnan Sipitakiat * **Policy advisor** -- Rattasit Sukhahuta * **Concept advisors** -- Siriwut Buranapin, Thanomporn Laohajaratsang, Siriporn Peansukmanee * **Project Manager** -- Tunpicha Arinta * **Documentation** -- Worawit Tepsan, Montiya Phoungsub, Janejira Kaensarn * **Researchers** -- Kamonphop Srisopha, Pornrat Wattanakasiwich, Ratsameetip Wita, Montiya Phoungsub, Woraluk Angsuwarangoon, Suthida Chamrat, Udomchoke Asawimalkit, Siriwut Buranapin, Thanomporn Laohajaratsang, Arnan Sipitakiat, Siriporn Peansukmanee * **User Support** -- Athicha Lertwiram, Panithi Panwut, Janejira Kaensarn * **API and add-on developers** -- Thivakorn Jansaard, Chawalid Punyajarern, Nattapas Rompo, Pongsit Yayapao, Peeranut Pongpakatien --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.tlic.cmu.ac.th/cmu-matthew-ai/full-credits.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.