Run your own private AI.
For teams who need AI on real data without sending it to a chatbot. By the end you have a working private AI, running on your own hardware, that you chat with from your browser - and your data never leaves your control.
One-time $297. Limited beta cohort. 14-day money-back guarantee.
You have data you cannot paste into ChatGPT.
The risk you are carrying
- Client files under NDA. Company records. Contracts. Patient or financial information.
- The exact data where AI would save you the most time is the data you are not allowed to send to a cloud tool.
- So you either do it by hand, or you paste it anyway and hope nobody finds out.
- "Use a local model" is true and useless on its own - nobody shows teams how to actually do it.
What you walk away with
- A model you pick, running on your machine, reachable from a clean chat interface.
- Wired into the tools you already use, and locked down so nobody but you can touch it.
- The judgment that outlives any single tool: when a task is safe for the cloud, and when it has to stay local.
- Not a demo. Not a toy. A working private AI you own.
For people whose data actually matters.
- Teams and small-business owners who want AI on company data without the breach risk.
- Consultants under NDA who cannot legally send a client's data to a third party.
- Regulated professionals in health, legal, finance, or government who need AI that stays on-premises.
- Solo builders tired of API bills who want to own the stack.
- Privacy-conscious professionals who treat their data like it matters, because it does.
You do not need to be a Linux expert.
You need to be willing to run a few commands and read what they do. We are honest about the work involved - and honest that the payoff is data that stays yours.
Nine modules. Install to working AI.
Each module ends with something running on your machine, verified by you.
Why and when private AI
A ten-second decision rule for cloud versus local on any task.
Hardware and honest expectations
The right model size for your machine. No false promises.
Installing Ollama
A running local model server, verified yourself.
Pulling and choosing models
2 to 3 models, each picked for a job - general, code, reasoning.
LobeChat
A private, ChatGPT-style chat interface in your browser.
Provider routing
One endpoint, many models, OpenAI-compatible. Tools point at one URL.
Connecting your tools
Your private AI inside the apps you already use, including the Wisdom Console.
Observability and cost
See what your AI does, and what it saves you versus the cloud.
Security and hardening
No public ports, Tailscale-only access, retention you control.
The runbook, the security lesson, the updates.
- The full curriculum - nine modules, lesson by lesson, with the reasoning behind every step.
- A standalone copy-paste setup runbook - install to working AI in 30 to 60 minutes, every command real and tested.
- The security and hardening lesson that makes "private" actually private - the part most tutorials never mention.
- Wisdom Console integration - point a clean multi-agent dashboard at your local AI.
- Free updates as the course evolves. Local AI moves fast; you get every revision.
Your own private AI that never leaks data.
A model running on your machine, processing your prompts and data locally, never sending them anywhere. Localhost by default, Tailscale instead of open ports, retention you control - and you verify it yourself, not just trust us.
$297 beta cohort.
The material is complete and runnable today. Beta pricing reflects that you are an early member; the price goes up as the course matures.
One-time, lifetime access. The price goes up as the course matures.
- The full nine-module curriculum
- The copy-paste setup runbook
- The security and hardening lesson
- Wisdom Console integration guide
- Every future update, free
Follow the setup runbook. If you do not end with a working private AI you can chat with on your own hardware, tell us where it broke and we will get you to working - or refund you.
This page describes a digital course - operational guidance, not legal advice. For regulated data, confirm your obligations with a qualified professional.
Questions, answered straight.
How much does it cost to run after the course?
The software is free. Ollama, LobeChat, and Tailscale cost nothing. Your only cost is the hardware you already own and the electricity to run it. There is no per-token bill.
What hardware do I need?
A machine that can hold a model in memory. 8 GB of RAM runs small models. 16 GB or a modern laptop GPU is the sweet spot. 24 to 48 GB of GPU memory runs serious 30B to 70B models. Module 2 maps your hardware to the right model size honestly.
Is this hard? I am not a developer.
You run a handful of commands and read what each one does. We explain every flag. If you can follow a recipe and you are not scared of a terminal window, you can do this. It is a runbook, not a coding project.
Is it really private, or is that marketing?
Really private. With a local model through Ollama, your prompts and data are processed on your own machine and never sent anywhere. Module 9 is dedicated to keeping it that way, and we show you how to verify it yourself.
Will a local model be as good as ChatGPT or Claude?
On the hardest reasoning, the best cloud models are still ahead. On the bread-and-butter real business work - drafting, summarizing, rewriting, extracting, classifying, writing SOPs - a good local model is more than enough. You use the right tool per task.
What is "Hermes" and do I have to use it?
Hermes is a family of capable, instruction-following open models known for strong reasoning. The course is named for it because it is the Wisdom Systems AI deep-reasoning agent. The method is model-agnostic: run Llama, Qwen, Hermes, or whatever is best the week you take the course.
Does this work offline?
Yes. Once a model is downloaded, it runs with no internet connection. That is one of the reasons local AI is the answer for secure and air-gapped environments.
Can I use this for client work?
Yes, that is a core use case. If a client contract forbids sending their data to a third party, a local model is how you use AI on it anyway. The course covers retention and access control so you can give a client or auditor a straight answer.
Stop choosing between productivity and privacy.
Your own private AI, running on your hardware, on the data you could never paste into a chatbot. One-time $297, limited beta cohort.
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