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Dynamic Auto-Replies Using OpenAI and Instagram API

Dynamic Auto-Replies Using OpenAI and Instagram API

The convergence of Generative AI and social automation is arguably the defining trend of 2025. Search queries such as "AI chatbot for Instagram business" and "ChatGPT Instagram integration" are seeing exponential growth. However, the user intent has matured; users are no longer looking for simple text generation but for intelligent agents capable of intent classification.

Build Your Own AI Agent

Content in this niche should be structured as a "Build Your Own AI Agent" guide. The core value proposition is the integration of a classification step before the response generation.

The "Router" Logic

The article must explain how to send the incoming DM payload to the OpenAI API first to classify the intent—distinguishing between "Support," "Sales," and "Complaint"—before triggering a specific workflow. This "Router" logic is the missing piece in most basic tutorials.

Context and Memory

Additionally, the content should provide code snippets or workflow examples (using Python or Zapier) that demonstrate how to maintain conversational context (memory) by appending previous messages to the prompt, a feature often lacking in basic automation tools. This satisfies the advanced user's need for a bot that doesn't sound robotic.