Practical writing on AI automation, n8n, RAG pipelines, and lead generation. What actually works when the demo has to survive a few thousand real records, not just a screenshot.
A working blueprint for a bring-your-own-targets lead pipeline: scrape with Apify, orchestrate with n8n, clean and dedupe, then enrich and score. The same architecture behind a pipeline that processed 30,000+ records.
Read the article →The honest answer is "it depends", but not in the hand-wavy way people mean. A decision framework for when to reach for retrieval, when to fine-tune, when to do both, and the failure modes nobody warns you about.
Read the article →Zapier gets you live in an afternoon. n8n gets you to the 100th workflow without bankrupting you. A build-first comparison for anyone choosing an automation backbone for AI work this year.
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