Give every AI tool your team uses the same source of truth.

Using AI alone no longer gives your team an advantage. Every competitor has the same AI tools. Meanwhile, usage and spend are climbing. A Digital Analogue™ gives your LLM a curated source of your unique business context, plus the instructions for using it.

Your business ready for LLM consumption.

A new hire has to learn your business before they can do good work. So does AI. A Digital Analogue™ is that onboarding, written once and kept current, in three parts.

The context base

Everything AI needs to know about your go-to-market, organized by the operating model and kept in your own Google Drive or SharePoint. Each part holds what an AI tool needs to do that part’s work.

The Enterprise Hub in the Digital Analogue app for a demo company, AltaMesh: the sidebar lists the Foundation and operating-model sections, and cards for Firm Facts, Market, People & Process, Technology & Data and Visual identity show how many entries each has documented.

The Orchestrator Instructions

Cozelo’s proprietary methodology for how an AI tool should use your context to carry out a task.

The app

Where your team reads and updates the context base, with data governance built in, without opening a file or learning markdown.

The app’s Home screen: Enterprise context and Personal context cards with buttons to open each hub, a Start an AI session panel with buttons to copy setup text for Claude or ChatGPT, and the start of the Recent changes logs.
The go-to-market operating model Why You Win sits at the center. Five connected parts of the operating model ring around it: message, attract, listen, engage and learn. Each is defined and continuously refined by the center. People, process, technology and data run underneath all of it as the outer ring. Message Attract Listen Engage Learn People, Process, Technology, Data WhyYou Win

One operating model. Every part connected.

Cozelo helps you take control of your business’ context, so your LLM works from a single version of the truth. It’s what lets great AI work spread beyond individuals and show results. We build that context as your Digital Analogue™, organized around Cozelo’s go-to-market operating model.

  • MessageWhat you say, and why anyone should believe it.
  • AttractHow you put that argument into the world.
  • ListenWhat comes back, and how you recognize it.
  • EngageWhat you do with what comes back.
  • LearnWhat happened, and what it tells you.

Context written for LLM readers

Every file is markdown: simple syntax and a clear hierarchy of headings and entries, the format LLMs parse most reliably. Your AI reads a short core file first, then opens only what the task needs.

Any LLM can read it, so if you change tools, your context comes with you.

How your AI works with your context.

Context only helps if the AI uses it well. The Orchestrator Instructions are Cozelo’s proprietary method for that, and they guide every AI tool that reads your context base. Your rules hold on every request, whoever makes it.

  1. 1

    Understand the ask

    Ask if something essential is missing.

  2. 2

    Use the context base, only read what’s necessary

    Check with you before spending tokens looking anywhere else.

  3. 3

    Follow best-practice task recipes

    Automatically perform quality checks before delivering output.

Cozelo writes and maintains the Orchestrator Instructions. Every client receives each new version as the methodology improves.

Context is only useful while it’s current.

The Digital Analogue™ app makes keeping the context base current part of the work, done by the people who know the business best.

The people closest to the work keep it right

Anyone you invite can update an entry in a simple form. The app writes the markdown, so nobody touches a file.

Editing the Firmographic fence entry: a table of criteria and settings, each row with a Status dropdown open to Confirmed, Draft or Aspirational, and As of, Source and Owner fields above a Save and write to Context Base button.

You can trust what your AI reads

Every change is logged with who made it and when, and admins decide who can edit what.

The Change Log: filters by area, then a table of edits showing when, who, which area and field, and what changed, with removed text struck through.

One setup for the whole team

One block of setup text connects each person’s AI tool, so everyone starts every task from the same context base.

Settings, connecting an AI tool: steps and copy buttons for Claude setup text and a Claude Skill prompt, then for ChatGPT and Gemini setup text.

Personal context, kept private

Each person adds their own priorities, working style and standing instructions, visible only to them and always inside the organization’s rules.

The Personal Hub: a note that the personal folder is private, then cards for Focus, Working style, Relationships, AI instructions, Notes and My change log, each showing how much is documented.

Your data stays where it already lives.

Files stay in your storage

Your context base is a set of markdown files in your organization’s Google Drive or SharePoint. Cozelo keeps no copy of its content. Our servers hold only what the app needs to run: your organization’s name, members’ email addresses and roles, and folder and file IDs.

Narrow access

On Google Drive, the app can open only files it creates and files your team chooses in Google’s own file picker. On SharePoint, it can open only the folder your IT admin grants it, and it can’t change who has access. Every action uses the signed-in person’s own access.

Your sign-in, your platform

People sign in with their company Google or Microsoft account. Sign-in tokens stay in an encrypted cookie in the person’s browser and expire within 7 days. Anyone can sign out of every device at once.

No AI calls from the app

The app never sends your content to an AI model. Your own AI tool reads the files through its Google Drive or Microsoft 365 connector, under your AI account’s terms.

Where can AI make a difference in your go-to-market?

Let’s talk about what you’re trying to improve, what’s getting in the way, and where to start.

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