Student journalists do not lack information. They lack time. Researching how a university handled a policy issue in past decades through keyword search takes hours - and under deadline pressure with a full academic course load, it gets skipped entirely. The historical context that would make the story richer and more accurate goes unused not because it does not exist but because the retrieval barrier is too high. AI research assistants built on institutional archives remove that barrier entirely. The Brown and White at Lehigh University built one using CustomGPT.ai - 400 million words of archive history, no custom code, one semester, deployed on Slack for editorial use, with every answer citing the specific historical article it was drawn from. The anti-hallucination architecture ensures answers are generated from retrieved archive content only, with confident decline when content is insufficient, preserving journalistic and academic source integrity throughout.
Explore how CustomGPT.ai serves journalism and education at https://customgpt.ai/industry/education/ and try free at https://app.customgpt.ai/register
https://www.sortresume.ai/ai-research-assistant-universities-journalism/
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