Argos
A hundred-eyed watcher, a valuation engine, and the architecture they share.
The model has a name.
Argos. After the hundred-eyed watcher of Greek mythology, set to guard what mattered, with vision that never fully closed because some of his eyes were always awake while the others rested.
The metaphor is the architecture.
I went looking for a name only after the system was finished. Whatever I called it had to come from how it actually worked, not from how I wanted to market it. The myth fit on the first pass
.
What Argos does
Three stages, one system, filings to thesis.
Onboarding. An Analyst drafts a configuration from the 10-K. A Reviewer challenges every field. A peer track runs the same exercise across comparable filers. A Manager adjudicates. The output, segments.json, bridges Stage 1 to Stage 2. Once written, it stays.
Valuation. Seven-year FCFF, Hamada-relevered WACC, 10,001-path Monte Carlo. GBM revenue, Ornstein-Uhlenbeck cost dynamics. Stress and tornado on top. No agents. No improvisation.
Investment Report. Twin analysts draft in parallel. A reviewer consolidates. A storyteller assembles the narrative. A CIO signs off, or sends it back, with up to three revision cycles before approval. Out in Word, PowerPoint, and Markdown.
Many eyes. One judgment.
Why the myth fits
The useful part of the myth is not the hundred eyes. It is the structure of the watching.
Argos did not see everything by being everywhere at once. He saw everything because his attention was distributed across many independent observers, none of which ever fully shut down. That is what a continuous valuation system has to do. No single agent, no single calculation, no single report holds the whole picture. The picture emerges from the coordination of partial views.
The other piece that earned its place is the role of judgment. Argos was a guardian, not a generator. He watched over what already existed. He did not invent it.
The system does the same. It reads filings that already exist. It calculates with data that already exists. It produces a thesis that has to survive an internal critic before it leaves. The agents propose. The math computes. The CIO judges. None of those steps is decorative.
The visual
A central eye, navy and gold, surrounded by five colored dots in a pentagon. The eye is the watcher. The dots are the workflow.
Each color carries a function.
Dusty blue. Data. Filings, market data, prior configurations.
Gold. Agents. Analyst, Reviewer, Manager, Storyteller, CIO.
Sage. Engine. DCF, Monte Carlo, WACC, calibration.
Navy. Bridge. Configuration files between stages.
Teal. Output. Word, PowerPoint, Excel.
The five colors are not decoration. They are a navigation system. A reader who sees gold in a chart should know it represents agent activity. A reader who sees sage should know it represents calculation. Consistency compounds into recognition.
What this is not
For now, Argos is not a product. Not a startup. Not a service for sale.
It is the operational arm of a personal investment practice, built for the quality of analysis I want to apply to my own decisions and to the family office context that surrounds them. The architecture happens to be rigorous enough to share. The system stays in-house.
This shapes the design choices. A commercial product would optimize for breadth and ease of use. Argos optimizes for methodological defensibility, auditability, and the ability to argue with itself before producing a conclusion. Different objectives, different architectures.
I am sharing the methodology and the worked output. Not the code.
What comes next
Two worked examples land this week. Real tickers, full output, no shortcuts. The system at work, not a description of it.
If there is a specific company you would like to see valued next, drop a ticker in the comments. The most requested names go in the next round.
Then the next build. A valuation model is only as useful as the questions you point it at. Argos answers “what is this worth?” It does not yet answer “which companies should we even be asking about?”
That is the screener. A tool that scans the market, applies a coarse filter on financial health, valuation gap, and earnings quality, and surfaces the candidates worth feeding into the pipeline. Valuation tells you the answer. The screener tells you which questions to ask.
The watcher needs something to watch.
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