How to Set Up Mentary AI for Private, Local AI Development
Why Local AI Development Matters Every time you send a prompt to a cloud AI service, your data leaves your machine. For developers working with proprietary code, sensitive client data, or simply those who value privacy
Why Local AI Development Matters
Every time you send a prompt to a cloud AI service, your data leaves your machine. For developers working with proprietary code, sensitive client data, or simply those who value privacy, that is a real concern.
Mentary AI solves this by running a full AI model locally — no cloud dependency, no data leaving your machine, no API keys to leak.
What You Get
Mentary AI is a self-contained local AI environment that gives you:
- Private inference — your prompts and code never leave your machine
- Zero configuration — no Docker, no Python venvs, no dependency hell
- Interactive demo — test the full workflow before you buy
- Portable — runs on Linux, macOS, and Windows
Quick Start
- Download Mentary AI from the product page
- Run the included launcher script
- Open the local web UI in your browser
- Start coding with AI assistance — completely offline
The entire setup takes under 5 minutes. No terminal wizardry required.
Live Demo
Every product page on WorkflowAlpha.ai includes a working interactive demo. You can test Mentary AI right now in your browser — type a prompt, see the AI respond, and evaluate the output quality before spending a cent.
Who Is This For?
- Developers who work with proprietary or client code
- Security-conscious teams evaluating AI coding assistants
- Anyone tired of monthly AI API bills
- Developers in regions with limited cloud API access
Get It
Price: $299.99 — one-time purchase, no subscription.
Payment options:
- PayPal: send to
[email protected](write a note with your email) - Crypto:
0x078fE079A9440631Bc6AD722D7143dC382b4ea4fon Base (ETH/USDC/USDT) - Western Union / MoneyGram
Product page: https://reggiebro.github.io/WorkflowAlpha.ai/mentary-ai/
Try the demo first. If it works for you, buy it. Simple as that.
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.