AI Automation: Deploying Specialized Task-Oriented Agents

Automation Stack & Architecture

• Agent Framework: LLM-driven Function Calling / Tool-use Agent (via ProTalk or Claude Code)
• Integration Layers: Google Workspace API + YooKassa Payments API + GitHub Repository
• Target Outcome: Automated inventory management, instant payment link generation upon client agreement, and systematic job profile matching.

Agent Roles & Tools Assignment

• Data Manager Agent
  • Goal: Edit information in Google Sheets by filtering columns to find specific rows/values.
  • Tools assigned: Function №345 - Editing info with single column filtration such as updating price(s) or stock quantity.
    
• Payment Facilitator Agent
  • Goal: Detect purchase intent from natural language chat ("I want to buy...") and generate immediate billing links.
    
  • Tools assigned: Function №349 - Generating a wayto pay via YooKassa integration based on prompt instructions like "If user agrees to buy - create invoice".
    
• Career Strategy Agent (Claude Code-based)
  • Goal: Manage the professional application workflow including CV adaptation and interview prep using an AI Job Search framework.
    
  • Tools assigned: Profile evaluation tool for checking fit against vacancies; Cover letter generator, gap analyzer, and response builder.
    

Step-by-step Workflow Orchestration

1. Data Update Trigger: User provides input command -> Bot identifies target column/row (`Column A` / `Name`) -> Executes edit_function() in Google Sheets acting as a personal assistant or warehouse manager.
2. Transaction Flow: Client expresses desire (

! DYOR (Do Your Own Research)