🚀 Introducing stAI

Your Full‑Stack AI Dev Machine

stAI is a fully‑engineered Ubuntu VM (Virtual Machine) designed for full‑stack developers, AI builders, and DevOps learners who want a clean, modern, production‑ready environment from the moment they boot it up. After months of engineering, testing, breaking, fixing, and refining, I’m finally releasing something I wish I had years ago — stAI, a fully‑loaded Ubuntu development VM built for full‑stack engineers, AI builders, and DevOps learners who want to skip the painful setup and get straight to building.

🧠 AI Stack — Ready Out‑of‑the‑Box

• llama.cpp for local LLM experimentation
• Weaviate vector database for RAG + embeddings. Swarm replicas stability tested: no crash loops. HTTP layer: /v1/schema, /v1/nodes, and GraphQL respond correctly. Raft/cluster layer: /v1/nodes reports healthy node. Persistence: created class and inserted object successfully. Query engine: GraphQL returned inserted object.
• Pre‑configured environment for AI tools, prototypes, modern workflows, optimal future‑proof and production‑ready.

Perfect for building AI‑driven applications, RAG systems, and LLM‑powered tools without touching complex setup steps. Furthore, several application sources architectured are included inside this machine. The code is not sample, it is enterprise‑architected. All the code is with tests and runnable with the running databases, including the vector database. Inside this machine, there is also all my source code of our own AI‑powered medical triage and doctor‑routing application, backed by a single‑agent Plan‑and‑Execute system with multi‑step reasoning, RAG medical retrieval, Reflexion‑based self‑correction, and tool‑calling for doctor search and ranking: the NoQ Clinic app. All included inside — a live machine that you can use immediately for your AI driven application development: production‑ready and cloud‑ready.

💻 Full‑Stack Web Development Environment

• Node.js
• Express.js backend the “brain” of the system, Express server the orchestrator
• Next.js
• React and React Native (ready for connect to Android SDK) Cross‑platform
• TailwindCSS
• HeroUI
• Storybook for testing, and documenting frontend UI components libraries
• MongoDB, and MySQL (fully configured)
• VS Code with curated extensions
• Unit testing environment ready
• Postman installed
• All Dockerfiles included and tested

⚙️ DevOps & Cloud‑Native Tools

• MicroK8s automation scripts
• Docker Swarm mode
• Cluster creation & teardown scripts
• Reproducible, battle‑tested workflows

The VM image is ~54GB because it includes a complete AI + full‑stack + DevOps environment.

⚙️ Go (Golang) monorepo to create Cloud infrastructure & DevOps tools

• Cross-platform, compiled language Go to create high‑performance apps, such as: Docker, Kubernetes, Grafana.
• One of the best GUI toolkits for Go (Golang), Fyne to create cross‑platform applications on Windows, macOS, Linux, Android, iOS, PLC, Embedded / IoT Controller and Ground Control Station (GCS) for drone. Desktop apps can be used where web apps cannot perform a task reliably.
• Test types are set up and ready to run: Unit tests, Fuzz tests, Benchmark tests.

🖥️ VM Details

• Ubuntu VM running on VMware
• Version 3.0.3
• VM image file (over 54 GB), can be downloaded
• Boot → Build → Deploy → Run AI models
• Zero setup. Zero dependency hell.

🎯 Who stAI Is For

• Full‑stack developers
• AI learners, AI builders
• DevOps engineers
• Students, colleges and schools
• Recently laid‑off engineers reskilling for US/Canada markets
• Software company, small teams needing a standardized dev environment

📩 Contact

admin@tomsk.tv

If you’ve ever wanted a clean, modern, AI‑ready dev machine without spending days configuring everything, stAI will save you a ton of time.

💸 stAI Pricing

💸 Launch Promo

Launch promo: 50% off (limited time)

⚡ Installation — Zero Setup Required

Getting started with stAI takes just a few minutes. Everything is pre‑configured, so you can go from download to coding instantly.

Step 1 — Install VMware Workstation

Download VMware Workstation 17 Pro, and install it on your laptop.

Step 2 — Purchase & Download stAI

Visit our online shop to buy. After your payment, download the stAI VM image (a large ZIP file).
Unzip it into any folder you prefer — for example (C:/vm)

Step 3 — Launch the stAI VM

Open VMware Workstation
Click Open a Virtual Machine
Select the vmx file from the unzipped stAI folder (e.g., C:/vm/stAI)
Press Power on this virtual machine

The VM will boot, and you’ll immediately see your full development environment — files, tools, VS Code, everything ready to go. For more detail please refer Developer guide
You can start coding right away and have fun building. The Docker containers will be up running, or you can use the Linux script files to start. You now have 2 monorepo: Node JS, and Go monorepo.

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Note on Pricing & Access

A purchase is required to download the Virtual Machine.
However, if you are a college student or are currently experiencing financial difficulty, please contact us — you may qualify for a free download of stAI.