OpenAI API (Text Generation & Moderation) Choosing the Right Model: Use the latest GPT-4 or GPT-3.5-turbo model for content generation. GPT-4 generally yields higher quality and more reliable adherence to instructions (important for brand voice). Use the Chat Completion API with a structured message (system message…
name: ContentCreatorAgent description: Generates platform-specific post content (text + media) using AI version: "1.0" globs: [""] triggers: [manual] # triggered after trend scanning or on request.
name: WebInterfaceAgent description: Manages the UI/UX interface in Django for controlling AI agents and visualizing trends version: "1.0" globs: [".py", ".html", ".js"] triggers: [manual].
name: SchedulerAgent description: Schedules and publishes posts on social media at optimal times version: "1.0" globs: [""] triggers: [manual] # can be triggered to schedule after content creation.
System Architecture and Agent Roles Our system consists of multiple specialized AI agents collaborating to drive the social media strategy. Each agent has a distinct role, and together they function as an “AI marketing team.” Leveraging a multi-agent design ensures tasks are handled by experts in each domain…
name: TrendScannerAgent description: Monitors Twitter, Instagram, and LinkedIn for trending topics and formats version: "1.0" globs: [""] # Applies globally (not tied to specific files) triggers: [manual] # Triggered by scheduler or on-demand.
This project implements a modular, multi-agent AI system where a primary agent coordinates with specialized agents (Ad Campaign Manager, Analytics, Content Creator, and Engagement) to provide comprehensive social media management capabilities through a unified chat interface. Users interact with a single…
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