This project automates the process of generating high-quality, platform-specific content for any given topic. It uses a team of specialized AI agents to handle research, writing, and SEO optimization, making it easy for businesses or individuals to quickly create engaging content for blogs, social media, and more.
Manual content creation is slow, inconsistent, and often misses current trends.
- Researching what’s trending takes time and expertise.
- Writing content that fits each platform’s style and audience is challenging.
- Optimizing for SEO without losing readability is a specialized skill.
This project solves these problems by:
- Automatically researching trending topics in any area you specify.
- Generating tailored content for your chosen platform (blog, Instagram, LinkedIn, etc.).
- Optimizing the content for search engines and platform engagement.
- Researches the latest trends in your chosen topic using sources like Twitter, Reddit, LinkedIn, and news.
- Filters out noise and finds actionable, specific trends.
- Summarizes what’s popular right now and suggests content angles.
- Takes the analyst’s findings and crafts engaging content in the requested format (blog, LinkedIn post, Instagram caption, etc.).
- Adapts the tone and style for each platform.
- Ensures the content is clear, concise, and encourages interaction.
- Refines the draft for search engine visibility and platform best practices.
- Adds keywords, meta descriptions, and improves structure.
- Makes sure the content ranks well and remains engaging.
This project supports multiple LLM backends. By default, it uses Hugging Face Inference (Llama 3 70B Instruct), but you can switch to:
- ChatGroq Moonshot AI (kimi k2 instruct 0905)
- Azure AI Foundry (gpt-oss-120b)
You can select your preferred LLM by editing the Posttrend class in src/posttrend/crew.py and uncommenting the relevant section.