Watch an AI Research Pod Analyze a Real Company in Real Time
A 2-hour live working session where I break down how I use multi-agent AI workflows to run a full investment deep dive, on a real company, while you watch.
Friday, April 10 at 12:00 PM Eastern (10:00 AM Mountain, 9:00 AM Pacific). Free. Live on Zoom. No replay. Limited to 50 seats so there's room for real Q&A.
What You'll See in 2 Hours
This is not a webinar. There are no slides for the first 75 minutes. You watch me run the system live on a company I have never publicly analyzed.
The problem and the framework
30 minutes. Why coverage creep is winning. Why most AI tools produce fast noise. How a gated, sequential research framework changes the equation. I'll show you the GAMMERS structure and why order matters, so you can evaluate the logic before the demo even starts.
Live demo: AI pod on a real company
45 minutes. Screen shared. You watch multi-agent AI workflows pull filings, structure competitive analysis, assess management quality, and build a bear case on a company I pick live. No cherry-picked output. No pre-baked demos. Real-time structured research, so you can see whether this produces output you'd actually use.
Debrief: what just happened
20 minutes. I walk through the output, show you what's institutional-grade vs. what needs human judgment, and explain how this maps onto a working professional's existing process, so you can judge how much of this would transfer to your own workflow.
Open Q&A
25 minutes. Your questions, live. Compliance concerns, technical setup, how it fits your coverage, what it costs to run, whether this works for your AUM size. Nothing is off limits, so you leave with answers, not assumptions.
What You'll Walk Away With
Even if you never join the Lab, you'll leave this session with:
- A mental model for how AI actually fits into serious equity research (not the vendor pitch version)
- A concrete comparison point: you'll know exactly what "good" AI-assisted research looks like versus what you're doing now
- A practical checklist of the tools, workflows, and infrastructure involved, so you can evaluate any AI research product or build your own
- A realistic sense of whether this kind of system is right for your process, with zero pressure to decide anything during the session
Why I'm Doing This for Free
Because telling doesn't sell. Showing does.
I built an 8-week implementation Lab where financial professionals install an AI research operating system on their own coverage universe. But describing that in an email isn't enough. You need to see it run. This session is the proof.
Because I'm looking for the right 10 people
The Lab is capped at 10 seats per cohort. I'm not looking for volume. I'm looking for working professionals who see this demo, recognize what it would do for their process, and want to build it on their own companies. This Intensive is how we find each other.
Who Should Register
Register if you are
- Portfolio managers, analysts, and CIOs who write or sign off on equity research
- RIAs and independent advisors doing their own deep dives (with a small team or solo)
- Buy-side professionals curious whether AI can actually improve their research process, not just speed up the shallow parts
- Serious self-directed investors who already behave like professionals and want to see what professional-grade AI research looks like
Skip this if
- You're looking for stock tips or hot takes. This is about process, not picks.
- You want a recorded webinar to watch on 2x speed. This is live only. No replay.
- You have no interest in AI. The session assumes you're curious about using it seriously.
A Note on Job Security
AI is coming to every research desk. The question is not whether. It is who controls it.
The professionals who learn to design, build, and run AI research infrastructure will be the ones their firms lean on. Everyone else will be watching their coverage shrink while the technology they ignored reshapes their industry.
This is not about replacing analysts. It is about which analysts become irreplaceable.
This session is your chance to see what that kind of infrastructure actually looks like up close, so you can decide whether you want to be the person who runs it.
Who's Running This
I'm Ryan Chudyk, founder of One Investment Away. I built the GAMMERS framework after a painful loss on Horsehead Holdings taught me that borrowed conviction is the most expensive kind.
Using GAMMERS, I found and held Spotify from $73 (now 10x+) and Netflix from $18 split-adjusted. Not because I'm smarter. Because the process catches what instinct misses.
Then I added multi-agent AI workflows. The same deep-dive that used to take 100+ hours now takes a fraction of that, without outsourcing the thinking. I've screened 174 companies through this pipeline.
In this Intensive, I'll run the system live so you can judge it for yourself.
Questions
Is this a sales pitch for something?
Will there be a replay?
Do I need any technical setup?
Is this financial advice?
Will the session be recorded?
What if I already use AI in my research?
Is this about replacing analysts?
Reserve Your Seat
Friday, April 10, 2026 at 12:00 PM Eastern (10:00 AM Mountain, 9:00 AM Pacific) Live on Zoom. 2 hours. Free.
This is a working session. You are welcome to keep your camera off. No replay.
50 seats. If you want to see what a real AI research operating system looks like before you decide anything, this is it.