I recently shared the text write-up of my autonomous market research agent. Based on the questions I got about the specific implementation, I recorded a video walkthrough of the architecture and codebase.
In the video, I show:
The Pydantic AI orchestration logic.
The state-based pipeline architecture using Postgres/pgvector.
Two bugs I ran into with Gemini Flash, e.g. how I prevented it from truncating UUIDs.
A demo of the new Audio Overview feature (generating a podcast from the research).
Comments
Hi HN, OP here.
I recently shared the text write-up of my autonomous market research agent. Based on the questions I got about the specific implementation, I recorded a video walkthrough of the architecture and codebase.
In the video, I show:
The Pydantic AI orchestration logic.
The state-based pipeline architecture using Postgres/pgvector.
Two bugs I ran into with Gemini Flash, e.g. how I prevented it from truncating UUIDs.
A demo of the new Audio Overview feature (generating a podcast from the research).
Happy to answer any questions about the stack!