synth-restaurants

You can consolidate fragmented restaurant research by merging multiple markdown research files into a single canonical recommendation list, automatically deduplicating entries and synthesizing justifications based on source priority and specialization.

Data merging handles duplicate restaurant entries by prioritizing specialized research, such as kid-friendly or local-cuisine recommendations, over general base research to preserve the strongest justifications and notes in the final output.

The best way to deduplicate restaurant recommendations is to synthesize justifications from multiple source files, prioritizing specialized research over general base research to ensure the most accurate recommendations for your final itinerary.

Yes, you need access to trip metadata and research files within the myfootmarks directory structure to successfully merge restaurant research files and generate the final canonical list output.

Yes, you can combine general dining and kid-friendly restaurant research into one list by merging the base findings with specialized recommendations, ensuring all relevant details and contact information are integrated for your trip.

A limitation of synthesizing restaurant research is that it requires markdown files organized within the myfootmarks directory structure, and it relies on source priority logic to resolve conflicts rather than manual selection.