Local control
The assistant connects your desktop, Telegram, and automations inside one operating layer.
LK AI Assist
A local AI assistant shaped around your real workflow.
LK AI Assist combines chat, voice, automation, and Telegram into one working layer. This is not a generic mass product. It is a custom system built around your actions, tools, and integrations. The starting point is from 300 dollars, while the exact price is fixed only after we understand the scenario.
from $300
local AI layer
estimate after scenario review
project stages in cabinet
Capabilities
What can live inside LK AI Assist.
Chat
A unified command layer for scenarios, tasks, prompts, and fast access to actions.
Voice
Voice control for commands and actions when hands-free interaction matters in your workflow.
Automation
Launch apps, local scripts, routine chains, and system actions without manual repetition.
Telegram
Commands from Telegram can trigger actions on the computer and return the result back into chat.
How development starts
The assistant is priced only after your scenario is understood.
You write in Telegram and explain what the assistant should do: launch software, run scenarios, work with Telegram, use voice, connect AI models, or control internal automations and files.
- Describe the task Explain which actions the assistant must perform and where it fits into your daily work.
- Review the architecture We clarify the interface, integrations, control model, and automation depth.
- Fix price and stages Once the scenario is clear, we define the exact price and the project plan.
- Build the solution The assistant is then assembled for your exact process, while price and stages stay visible in the cabinet.
What affects the price
The cost depends on integration depth, not just on the interface.
- which actions and scenarios the assistant must handle
- whether Telegram, voice, local chat, or all of them are needed
- which external services and APIs must be connected
- whether it works with files, apps, and desktop automation
- whether model control, keys, or internal process monitoring are required
What helps from the start
Control center
One interface where dialogue, commands, status, and working scenarios come together.
Model and API control
You can shape the AI layer and the internal logic around the way you actually work.