Good morning everyone,
As part of recent work at Aston University on financial‑analysis AI agents, I’ve been experimenting with Google’s Gemini to build a fully functional analysis agent capable of processing annual reports end‑to‑end.
I wanted to share with the community a short summary of the workflow I used while developing it. It also covers prompt‑engineering structure, ratio‑analysis reliability, and how to critically evaluate LLM‑generated financial insights using both academic and professional literature: A practical guide to building your first financial AI Agent with Gemini | LinkedIn
If you’ve been experimenting with agentic AI in a financial setting yourself, I’d be very interested to hear about your approach, especially concerning how you handled ratio accuracy and output interpretation.
Thank you in advance,
Best regards,
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Guillaume (William) RUQUILLA
MSc Fintech - MiM / Finance
Audencia BS x Aston University
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