book-platform-sweep

Automated book research involves executing a three-tier sweep across platforms like Perplexity, Gemini, Hacker News, and Substack to gather raw data, perform analysis, and generate a synthesized findings document ready for chapter drafting.

The best way to gather raw research data for a book chapter is using an automated sweep that conducts open-ended discovery and hybrid synthesis across multiple platforms, extracting URL bodies via Firecrawl to ensure comprehensive topic coverage.

Yes, performing automated research sweeps requires API access to Perplexity, xAI Grok, and Reddit JSON, along with Hacker News Algolia, Substack, Gemini, and a self-hosted Firecrawl instance for URL body extraction.

To run a comprehensive analysis for a specific book chapter, execute the skill with the chapter slug, such as 'book-platform-sweep 01-two-groups'. This triggers tiered analysis and generates a synthesized findings document for that exact chapter.

Yes, you can use a self-hosted Firecrawl instance for URL body extraction in knowledge work. It is explicitly required to extract content from URLs discovered during the automated research sweep across various platforms.

The tiered analysis for book writing automation processes one chapter at a time and requires multiple external dependencies. You must ensure all API rate limits and your self-hosted Firecrawl instance can handle the URL extraction load.