{"id":1004,"date":"2026-03-16T12:06:58","date_gmt":"2026-03-16T12:06:58","guid":{"rendered":"https:\/\/savywork.com\/automations\/?page_id=1004"},"modified":"2026-03-17T03:56:47","modified_gmt":"2026-03-17T03:56:47","slug":"automated-research-report-with-ai","status":"publish","type":"page","link":"https:\/\/savywork.com\/automations\/automated-research-report-with-ai\/","title":{"rendered":"Automated Research Report Generation with AI"},"content":{"rendered":"\t\t
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About <\/strong><\/h3>\n
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This project demonstrates a powerful, fully autonomous AI research assistant built in n8n. When you send a topic, the workflow first refines it into focused sub-queries, then deploys an intelligent AI agent equipped with real-time tools: Google Search, Wikipedia extracts, recent news via NewsAPI, and optional Google Scholar-style insights. The agent aggregates high-quality, up-to-date information, structures it into sections (introduction, summary, key findings, news highlights, scholarly insights, Wikipedia background, sources), generates clean HTML with styling, converts it to a professional PDF, and emails the report directly to you . It includes memory for consistent context and strict JSON output for reliability. The result is fast, citation-backed, beautifully presented research reports at scale \u2014 ideal for consultants, marketers, researchers, startups, students, or anyone needing quick, credible insights.<\/p>\n

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How it works:<\/h3>\n

The workflow runs on demand and follows this intelligent sequence:<\/p>\n

Input Validation & Query Refiner<\/strong> \u2014 Takes your raw topic, uses OpenAI to generate exactly 5 targeted sub-queries that broaden coverage (applications, challenges, trends, case studies, etc.) and outputs structured JSON.<\/p>\n

Research AI Agent (Core Brain)<\/strong> \u2014 Powered by GPT-4o-mini + memory buffer, the agent uses multiple tools in parallel:<\/p>\n

Google Search for broad web results<\/p>\n

Wikipedia API for foundational context & background<\/p>\n

NewsAPI for the latest 2024\u20132025 articles & developments. It performs iterative searches, aggregates findings, and enforces a strict JSON structure with minimum item counts for each section.<\/p>\n

Parse Research Output<\/strong> \u2192 Split Out<\/strong> \u2192 Aggregate<\/strong> \u2014 Cleans and combines the structured data.<\/p>\n

Generate PDF HTML<\/strong> \u2014 Uses JavaScript to build a responsive, styled HTML document (cover page, sections, highlighted key findings, clickable sources, footer).<\/p>\n

Convert HTML to PDF<\/strong> \u2192 Download PDF<\/strong> \u2014 Turns the HTML into a downloadable professional PDF file.<\/p>\n

Send Research to Gmail<\/strong> (or Telegram) \u2014 Emails the PDF attachment to you with topic, date, and summary \u2014 or can notify via Telegram bot.<\/p>\n

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Key Features:<\/h3>\n