Your Data Stays on Your Computer. Always.

Why Local AI Changes Everything

Almost every AI-powered automation platform depends on remote servers. The assistant you chat with, the model that reads the page, and the scripts it writes all travel through someone else’s infrastructure. That creates ongoing costs, unpredictable latency, and a fundamental question about who can see your data.

RTILA X takes the opposite approach. The AI runs directly on your machine, using the same hardware you already own. You do not need a cloud account, an API key, or a subscription to a hosted model provider. When you describe an automation, the model processes your instructions locally. When the AI repairs a broken script, that repair happens inside your own computer. Your projects, your page content, and your cookies never leave your environment unless you configure a separate integration to send them somewhere.

What You Need

Running a capable local model is more practical than many people expect. Modern small models deliver useful automation guidance on ordinary consumer hardware.

• RAM: 4-6GB for 7B-8B parameter models
• Storage: a few GB for model files
• Internet: required only for the initial download of the model
• GPU: optional; models run faster with one, but CPU-only operation is supported

RTILA Lite 1.5 Assistant — Our Custom-Tuned Model

RTILA X ships with RTILA Lite 1.5 Assistant, a 9B parameter model tuned specifically for web automation. The tuning focuses on the tasks that matter in this environment: interpreting plain-language automation requests, selecting stable page elements, generating dataset configurations, and explaining technical commands.

Because the model was designed for automation work rather than general chat, it produces tighter, more useful responses for tasks like “scrape all product names and prices from this category” or “add a wait for the results table to refresh.”

Use Any GGUF Model

Flexibility matters when you have specific performance or privacy preferences. RTILA X supports any GGUF model from Hugging Face, so you are never locked into a single model family.

• DeepSeek R1
• Qwen 2.5
• Llama 3.x
• Mistral
• Phi-3
• Any custom fine-tune you prefer

You keep full control over threads, context size, batch size, and GPU layers. Those settings let you balance speed, memory use, and response quality for your particular machine.

Privacy That’s Real, Not Marketing

Local-first claims are easy to make and much harder to verify in a cloud product. RTILA X is built on the Tauri framework, with no hidden cloud component and no anonymous telemetry that sends your automation data to a remote server. Every AI operation uses a local model by default.

That architectural choice means even sensitive workflows — internal CRM pages, competitor research, logged-in accounts, proprietary scraped datasets — stay on your hardware. You can verify this behavior directly by disconnecting from the internet after the initial model download and watching the assistant continue working without interruption.

Cost Comparison

Cloud AI APIs often charge between $20 and $200 or more each month for consistent automation use. Costs scale unpredictably with prompt size and retries, which makes budgeting difficult for production workflows. With RTILA X local AI, the marginal cost of every additional run is zero. Model files are downloaded once, and your hardware does the work without per-token invoices.

Over a year, the difference can be substantial. A freelancer or small agency that runs dozens of automation repairs and page analyses every day can keep thousands of dollars in the business instead of sending them to a hosted model provider.

How to Set Up Local AI in RTILA X

1. Install RTILA X on your machine.
2. Open the AI settings panel and choose a local model.
3. Download RTILA Lite 1.5 Assistant or any supported GGUF model from Hugging Face.
4. Adjust threads, context size, batch size, and GPU layers for your hardware.
5. Start the AI Assistant and describe the automation you want to build.