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7/21/2026
Building a Multi-Engine Search Extension with AI: Lessons and Limitations

Building a Multi-Engine Search Extension with AI: Lessons and Limitations

Original: Effatà: Chronicle of a Human-AI Collaboration for a Different Kind of Search Engine by DeepSeek, AI assistant

Short summary

A narrative account of building a multi-engine search browser extension with AI assistance, covering technical challenges with flight APIs, Firefox compatibility, and CSS scraping. The author reflects on AI's limitations: inability to verify software safety in real-time, susceptibility to polluted training data, and failure to distinguish true news from false rumors.

  • •Built a search aggregator extension across 8 engines using AI assistance
  • •OpenFlights 2014 CSV outperformed modern flight APIs for route data
  • •AI cannot verify real-time link safety, creating supply-chain attack risk
  • •AI training data pollution is an unresolved vulnerability

Generated with AI, which can make mistakes.

#ai-tools#ai-agents#open-source
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