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Build a Custom AI Agent for Automated Content Research & Drafting

1. Define Your Agent’s Role and Scope

• Identify one specific content task (e.g., weekly newsletter, competitor analysis, SEO blog drafts) to avoid scope creep.
• Map the exact inputs (topic, keywords, tone) and outputs (headline, outline, full draft) your agent will handle.
• Choose a base model (GPT-4o, Claude 3.5, or open-source Llama 3) that fits your speed, cost, and accuracy needs.

2. Set Up Your Development Environment

• Install Python 3.10+, create a virtual environment, and pin key libraries: openai,

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  Written byTheo Grant

  Theo Grant explores real-world AI applications, automation workflows, and hands-on tutorials at AI In Action Hub. Theo breaks down complex AI concepts into practical guides that help professionals and creators leverage AI in their daily work.