Building a Custom AI Research Agent
Programmed a custom AI research agent using an open-source Chinese model to accelerate research workflows.
Vipul Sahu
Analyst at 6Wresearch
From their time as
Analyst
6Wresearch • 2024
Overview
Vipul identified that his research workflows had significant room for acceleration and set out to build a custom AI agent tailored to his specific research needs rather than relying on off-the-shelf tools.
The Story
Vipul identified that his research workflows had significant room for acceleration and set out to build a custom AI agent tailored to his specific research needs rather than relying on off-the-shelf tools.
He selected an open-source model, framed it, and programmed it to match his research workflow requirements. The agent is designed to run deep research prompts autonomously, generating outputs that Vipul then cross-verifies against multiple sources before incorporating into his work.
The agent is currently live and in active testing. His workflow uses it to run parallel workstreams: while the agent processes a long research prompt, he works on shorter research tasks simultaneously, then validates the output when it returns. This approach compresses the time required for research-heavy projects without sacrificing the verification step.