Rajarshi Hub
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Case Study: The Autonomous Industry News Agent
Role: AI Systems Architect & Developer
Tools Used: n8n, Web Scrapers (RSS/DOM Parsing), Advanced LLMs, WhatsApp Cloud API
Deliverable: A real-time, personalized news curation engine that scrapes, summarizes, and delivers actionable...
Case Study: The Autonomous Meta Posting Agent
Role: AI Systems Architect & Developer
Tools Used: n8n, Meta Graph API (Instagram/Facebook), OpenAI/Gemini, AI Image Generation API
Deliverable: A zero-touch social media pipeline that generates and publishes highly visual,...
Case Study: The Omnipresent Content Machine
Role: AI Systems Architect & Developer
Tools Used: n8n, Advanced LLMs, Image Generation API, Meta Graph API, Web Scrapers
Deliverable: A zero-touch, omnichannel content pipeline that autonomously curates, writes, and publishes blogs and...
The Auto-Reply Agent (Drafting): Using the extracted context, the LLM crafts a highly personalized, context-aware response addressing the specific questions or needs of the sender.
The Mail Summarizer (Extraction): Instead of forcing a human to read a 15-message thread, the system extracts the core context and action items, generating a clean, 3-bullet-point TL;DR summary delivered directly to the team's dashboard.
