The principle
The LLM wiki
A leading AI researcher, Andrej Karpathy, showed that keeping your knowledge in plain, readable files the AI reads directly just works. The idea spread fast.
Visualized Institutional Knowledge
AI that actually knows how your business runs.
We build your VIK — Visualized Institutional Knowledge: a living, queryable system that captures how your company really operates, so AI can act on it without guessing — and so that knowledge stops walking out the door when your people do.
What you own
VIK — Visualized Institutional Knowledge.
Your VIK is the working system you keep when the engagement ends — not a slide, not a diagram. It holds how your business actually runs and does work with it: it researches, drafts, and answers, all from knowledge you can read and edit.
VIK
Tools depreciate. Context compounds. ICM is how we compound it. VIK is what you own when we're done.
The problem
Turning AI on is easy. Trusting it is the hard part.
Anyone can switch on an AI tool today. Getting it to answer correctly about your business is the real work. When the AI can't see how you actually define a customer, price a job, or run a process, it guesses. And it guesses wrong in ways that are expensive to catch.
The worst part isn't the wrong answer. It's that you can't tell why it happened, so you can't fix it. One bad answer and people quietly stop trusting the tool.
The problem was never the AI. It's that what it needed to know was never written down anywhere it could read.
Why now
The fix is a pattern the industry is converging on.
Instead of paying to build a separate AI tool for every task, the smartest teams now do something simpler. They write down how the business works in plain, readable files, the same files the AI reads to answer. A person can check them, the AI follows them, and when something's off you fix the file, not the whole system.
The method
Interpretable Context Methodology
Researchers turned that idea into a method: organize the files so the AI always reads the right ones for the task, and you can trace every answer back to a file.
your team reads this your AI reads this
# Refund policy window: 30 days from delivery exceptions: final-sale, custom orders
The method, in three appeals
Three ways to be believed. One method that earns all three.
Rhetoric has persuaded people for two thousand years with three appeals. Our Interpretable Context Methodology turns each one into something the AI actually does — so trust is built into the structure, not performed on top of it.
Ethos
Credibility — authority that’s sourced, not asserted.
Identity + traceability
Pathos
The felt experience — confidence that’s earned, not performed.
Working outputs
Logos
Reason and evidence — logic you can inspect, not hidden.
Routing + reference
ICM
Interpretable Context Methodology — every answer traces back to a file you can read and edit.
Pick a question to open the file the AI reads:
# the AI reads the right file for each question
# PricingWe price by the project, not the hour.A quote holds for 30 days.Discounts over 10% need a manager's ok.
# Refund policywindow: 30 days from deliveryexceptions: final-sale, custom ordersafter 30 days: store credit only
# Tone & voicePlain, warm, direct. No hype.Say "we", not "the company".Never promise what we can't ship.
# EscalationLoop in a human for money or complaints.Tag the owner within one business day.Never guess on legal or refunds.
What we build
We get your knowledge in order first, then build the tools that use it.
Your business, written down
We write down how your business actually works: how you define things, price things, and run things, all in plain files your team and your AI can both read. One place that holds the real answers, instead of knowledge scattered across dashboards, inboxes, and people's heads.
The tools that run on it
Once your knowledge is in place, we build the AI assistants and automations that use it. Sales and customer work, finding new customers, reporting, and the busywork in between. Each one is tested on your real cases, with a person reviewing the work before anything goes live where it counts.
Everything we build is yours to keep. It's all in plain writing you can read and edit, with nothing locking you in. Switch tools or AI providers next year without starting over.
How it works
Four steps. Plain language the whole way.
- 01
Map
We look at how your business actually runs and where the knowledge lives today.
- 02
Write it down
We write it down as clean, organized files. The things that rarely change in one place, the day-to-day work in another.
- 03
Build
We add the AI assistants and automations on top, tested on your real cases, with a person signing off before anything goes live.
- 04
Hand off
You keep the whole thing. Easy to read, easy to edit, and yours to take anywhere. We can stay on to help or step back.
Built to last
AI changes every few months. What you've written down doesn't have to.
Because your knowledge lives in plain files and not buried inside one AI tool, you don't rebuild every time something new comes out. The same files work with whatever AI is best next year, and they cost less to run, since the AI only reads what it needs. That's the difference between renting a tool and owning something that keeps working.
Proof
CONFIRM heading
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CONFIRM client
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CONFIRM client
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Get started
Start with a free intro call.
We'll talk through where your institutional knowledge is stuck today and what a VIK would do about it. No cost, no obligation. If it's a fit, engagements run $2,500 a month, month to month.
CONFIRM price and terms — confirm the engagement price shown here.
Get started