What kind of AI Workflows have you built for investing that you see as successful?
Has anyone else built AI workflows for their investing process? I'm curious how you've approached it? How has it transformed your process?
I started building mine a few months ago. I manage a pretty large personal portfolio driven by long time cash flows & sale value from my now exited tech company.
Here's what I did:
- I used Codex to write the code
- I am syncing multiple tools I already pay for as a user, and I had to pay for one additional tool to pull in accurate data.
- I approached it with a cost optimization mindset. While AI helped build the code base, I don't simply call an AI agent to handle everything. Today, it cost me about $125/mo to run all-in, $60 for the data connectors, $65 between the AI analysis and database/server costs.
- It relies on my profile as an investor.
- It relies on my mental models that I have had in place pre-workflow, however, it also ingests and interprets far more data than I typically would, so I consider it additive.
- I get key alerts on existing holdings [based off a weekly sync with my spreadsheet portoflio tracker ive had for 6 years], recommended watchlist tickers, ability to add my own watchlist tickers with triggers like PEG ratio, etc.
- It tracks my returns on new holdings I add to give me a feedback & learning loop.
The workflow is largely automating the initial quantitative work I do on any potential investment so I can focus more deeply on qualitative thinking. I find it hard to outsource the end decision, so my ultimate goal is to be a better investor.
My investing profile has largely been buy and hold quality value companies the last 6 years.
After 4 months of near daily usage, I think it has improved my process. Time will actually tell on this though.
I'd love to hear how others are using AI workflows so I can see ways to improve my own process, but also share more about my own journey if its helpful to anyone.