Advanced multi-source AI research with Bright Data, OpenAI, Redis

How it Works This workflow transforms natural language queries into research reports through a five-stage AI pipeline. When triggered via webhook (typically from Google Sheets using the companion [google-apps-script.js](https://gist.github.com/danishashko/fb509b733aebf5538676ca80b19fa28b) (GitHub gist), it first checks Redis cache for instant results.

For new queries, GPT-4o breaks complex questions into focused sub-queries, optimizes them for search, then uses Bright Data's MCP Tool to find the top 5 credible sources (official sites, news, financial reports). URLs are scraped in parallel, bypassing bot detection.

GPT-4o extracts structured data from each source: answers, facts, entities, sentiment, quotes, and dates. GPT-4o-mini validates source credibility and filters unreliable content. Valid results aggregate into a final summary with confidence scores, key insights, and extended analysis.

Results cache for 1 hour and output via webhook, Slack, email, and DataTable—all in 30-90 seconds with 60 requests/minute rate limiting.

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Who is this for? - Research teams needing automated multi-source intelligence - Content creators and journalists requiring fact-checked information - Due diligence professionals conducting competitive intelligence - Google Sheets power users wanting AI research in spreadsheets - Teams managing large research volumes needing caching and rate limiting

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Setup Steps Setup time: 30-45 minutes