Pavel
AI assistants
Development & Support
Automation Use Cases
Smart Warehouse (WMS)
Implementation: A smart storage system based on a Vector DB. Result: The bot knows the exact location of every item. Employees simply query via Telegram to get the shelf number and quantity. No more guesswork or lost inventory.
AI Sales Manager
Implementation: A consultant bot for a mobile accessories store. Result: The AI identifies the customer's phone model, suggests relevant cases or screen protectors, and processes the order. Works 24/7 autonomously.
AI Personal Assistant
Implementation: Integration of Google Calendar, Todoist, and Reminders. Result: A unified time management hub. The bot automatically schedules meetings, tracks deadlines, and manages your agenda.
Content Generation
What Determines the Project Cost?
I don’t use cookie-cutter pricing because every task is unique. The cost is calculated individually based on three key factors:
1. Logic Complexity
Simple: Linear tasks (receive a lead → send to Telegram). Complex: Branching scenarios, condition checks, and databases. This requires significantly more development time.
2. Number of Integrations
Connecting 2 services (e.g., Google Sheets + Telegram) is the baseline. Connecting 4+ services (CRM + Website + AI + Payment System) creates a complex architecture, which increases the cost.
3. Depth of Customization
Basic: Using standard prompts (default ChatGPT style). Premium: Configuring a unique "Tone of Voice" so the AI writes exactly in your style, plus advanced scenario engineering.