Build Your AI Research Pod in 8 Weeks
For portfolio managers, analysts, and RIAs who want to cut deep-dive research time by ~70% without outsourcing their judgment or lowering their standards.
Mid four-figure investment. This is beta pricing for Cohort 1 only; it goes up from here. Many firms treat this as a professional development or research-infrastructure expense rather than a personal purchase.
The Problem You Already Know
You manage real money. You know the research process matters. But the math doesn't work anymore.
Coverage creep is winning
Your coverage universe grows faster than your hours. Every new name on the watchlist means less depth on the ones that matter. You're spread thinner every quarter, and the quality gap between what you produce and what you need is getting wider. If you add 5 new names a quarter and you still only have 40 good research hours a week, something has to give: either depth, or sleep.
"AI for finance" is mostly toys
You've tried the chatbots. You've prompted your way through a few 10-Ks. The output was fast and shallow. You know AI should be a force multiplier, but everything you've seen so far feels like a search bar with better marketing. You're not afraid of AI. You're afraid of hallucinated theses you can't defend to an IC or a client. Fast noise is still noise.
You can't hire another analyst
A junior analyst costs $80K-$150K and takes a year to train. You need research capacity now. Not a body, not a SaaS subscription. A system that plugs into your existing process and multiplies what you can cover without diluting your conviction.
What This Actually Is
Not a course. Not a webinar series. Not a prompt library. This is an 8-week build lab where you install a working AI research operating system on your own coverage universe.
Implementation, not education
You leave with a working research OS, not a folder of recordings. Every week produces a tangible deliverable: a moat analysis, a bear case, a valuation model, a full thesis. By Week 8, you have an installed system you use every day.
Your framework or mine, not a chatbot wrapper
If you already have a structured research process, the Lab teaches you how to build an AI pod that runs it at 10x speed. If you don't, you'll use GAMMERS: a 7-gate analytical framework built from years of real investing (including real losses). Either way, the AI infrastructure works because it's built on structure, not shortcuts. Without a framework, AI is just fast noise.
Multi-agent orchestration, not single prompts
You won't be typing into a chat window. You'll deploy orchestrated AI agent workflows that handle data gathering, structuring, and first-pass synthesis across filings, transcripts, and industry data. The output is structured, auditable, and institutional-grade.
Your companies, your coverage, your conviction
Every session, you build on companies you actually cover. By Week 1, your AI pod is running on a real name from your universe and producing real structured output. Not theory. Not demos on companies you'll never own.
By the end, you have a repeatable, auditable research operating system you can hand to a junior, defend to a CIO, and sleep on.
The GAMMERS Framework
Seven gates. Strict order. Each gate must pass before the next one opens. This is how you build conviction that survives bear markets.
What You Walk Away With
- 01
A working AI research pod on your coverage universe
Not a demo. Not a template. A production system running on companies you actually cover, producing structured output you'd put in front of your CIO.
- 02
1-2 complete investment theses built through the new system
Full GAMMERS analysis: competitive moat, management assessment, bear case, valuation, and conviction score. Built live on real names from your universe.
- 03
Prompt libraries and orchestration templates
The exact agent configurations, prompt chains, and workflow templates that power the research pod. Yours to keep, customize, and evolve.
- 04
A documented research SOP for your firm
Week 7 is dedicated to building your team's standard operating procedures: who runs what, how to quality-check output, how to scale from 5 names to 50.
- 05
A vetted pipeline of high-conviction candidates
Through the process of building your pod, you'll naturally surface 10-15 companies that pass the framework's filters. Not tips. Qualified candidates backed by structured analysis.
8 Weeks. Build as You Go.
One live session per week. 2-4 hours of implementation between sessions on your own coverage. By Week 8, you have a production-ready research OS.
Map Your Universe + First Live Run
Map your circle of competence, install the core research agent, and run it live on a company you care about. You leave this session with real structured output, not a setup guide.
Business Analysis + Moat Detection
Deploy agents that pull and structure fundamentals, competitive positioning, and durable competitive advantages. Your pod starts producing the work that used to take 20+ hours per name.
Management + Event Assessment
Process earnings transcripts, shareholder letters, and corporate events through structured workflows. Separate signal from noise at scale.
The Bear Case Engine
Build a systematic red-team workflow. Pre-mortem analysis, short thesis construction, and kill-the-company exercises. The gate that protects you from yourself.
Valuation + Price Discipline
Connect structured GAMMERS output to valuation guardrails. Multi-lens pricing with sensitivity analysis. Define your buy zone with math, not hope.
End-to-End Run
Full AI-assisted GAMMERS analysis on a current or target holding. Produce a complete thesis document ready for internal use or client presentation.
Scale + Standardize
Build your team's SOPs. Document workflows. Define roles and permissions. Turn your pod from a personal tool into firm-wide research infrastructure.
Demo Day + Production Tuning
Walk through your system and first theses. Live diagnosis and tuning of each participant's setup. Leave with a polished, production-ready AI research pod.
Who This Is (and Isn't) For
This is for
- Portfolio managers, analysts, and CIOs at firms with $5M-$500M AUM who write or sign off on research
- RIAs and independent advisors running their own equity research with a small team (or solo)
- Buy-side professionals who already have a research process and want to multiply it, not replace it
- Serious self-directed investors ($500K+) who already behave like professionals and want professional-grade tools
This is not for you if
- You want stock tips or hot picks. This is a research operating system, not a newsletter.
- You're looking for a passive course to watch on 2x speed. Every week requires implementation on your own coverage.
- You don't have an existing investment process. This multiplies what you already do. It doesn't replace doing the work.
- You need guaranteed returns. We teach process. You own every investment decision.
What a Win Looks Like in Real Terms
- You recover 10+ hours a week of deep-dive time at your current billable or internal rate.
- You clear your research backlog instead of triaging by panic.
- You avoid one "Horsehead" style error because your process forced you to see what your instincts wanted to skip.
Over a 5-10 year career window, that is the difference between being the person who is replaced by tools and the person who designs and runs them. In practice, it means more high-quality work in front of your IC or clients, and fewer nights wondering what you missed.
Why I Built This
Early in my investing career, I turned about $4,000 into just over $53,000 in under two years. I thought I was invincible.
Then I followed a group of investors I respected into Horsehead Holdings. I did some work, but not enough of my own. I borrowed conviction I hadn't earned. When management chose a path that led to Chapter 11 bankruptcy, I watched my "sure thing" vanish.
That loss changed everything. I stopped taking shortcuts. I built GAMMERS: a gated, sequential research framework that forces you to earn conviction at every step. No skipping. No hand-waving. Every gate has to pass before you move to the next.
The framework turned into real results. Using GAMMERS, I found and bought Spotify around $73 (now 10x+) and Netflix around $18 split-adjusted. Not because I'm smarter. Because the process catches what instinct misses.
Then I added AI. Not as a replacement for judgment, but as infrastructure. Multi-agent workflows that handle the time-consuming data gathering, structuring, and first-pass synthesis. The same deep-dive that used to take 100+ hours now takes a fraction of that. The thinking is still mine. The leverage is the machine.
I built this Lab because I've spent years compressing this system into something a working professional can install in 8 weeks. Not learn about. Install. On real companies they already cover.
I'm Ryan Chudyk, founder of One Investment Away. This is Cohort 1, and I'm keeping it to 10 seats so I can be in the trenches with each participant.
These are my process outcomes, not guarantees of your results. Your results depend on your decisions, your mandate, and your clients.
Conditional, Action-Based Guarantee
Questions Before You Apply
Do I need to code?
Is this financial advice?
How much time does this take per week?
What's the format?
What if my compliance team has concerns?
What makes this different from other AI-for-finance products?
Why only 10 seats?
What Happens After You Apply
I review your application personally
If it looks like a strong fit, I'll reach out within 48 hours.
We have a short call
45 minutes. I'll answer your questions, walk you through the system, and we'll both decide if this is the right investment of your time.
Mutual fit decision
If we both say yes, you're in. If it's not the right fit for this cohort, I'll tell you directly. No ghosting.
Cohort 1 is 10 Seats
You see the system in action for 2 full weeks before the guarantee window closes. If you do the work and don't feel it will repay itself many times over in saved time and better decisions, you get a full refund.
If you read this far, the only real question is timing. If not this cohort, when do you want your research process to catch up to your responsibility?
Mid four-figure investment. Beta pricing for Cohort 1 only. Price increases for Cohort 2. Max 10 seats.