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The Complete Guide to AI Agent Architecture for Business Automation

The Complete Guide to AI Agent Architecture for Business Automation

via Dev.to PythonWEDGE Method Dev

AI agents are the next evolution beyond simple automation. Here's how to architect them for real business use cases. What's an AI Agent vs. a Script? A script follows a fixed path: input → process → output. An agent reasons about what to do next based on context. Script: "If email contains 'invoice', save attachment to /invoices/" Agent: "Read this email, understand the context, decide if it's an invoice, extract the data, verify against our records, flag discrepancies, and route to the right person." The Agent Architecture ┌─────────────┐ │ Orchestrator │ │ (Decision │ │ Engine) │ └───────┬───────┘ │ ┌───────────────┼───────────────┐ │ │ │ ┌──────┴──────┐ ┌─────┴──────┐ ┌─────┴──────┐ │ Perception │ │ Reasoning │ │ Action │ │ Layer │ │ Layer │ │ Layer │ └──────────────┘ └────────────┘ └────────────┘ - Read emails - Analyze - Send emails - Parse docs - Decide - Create tasks - Monitor feeds - Plan - Update CRM - Watch events - Prioritize - Generate docs Layer 1: Perception class Percept

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