Building Trip Threads: The NLP Journey From Regex to LLMs
How I evaluated four different approaches to natural language parsing for Trip Threads and what I learned about building AI-powered products.
A web application that takes recipe URLs or text and enriches them with structured data, cooking times, ingredient measurements, and improved formatting. Makes recipes easier to follow and more accessible.
Q2 2025
live
A web application that takes recipe URLs or text and enriches them with structured data, cooking times, ingredient measurements, and improved formatting. Makes recipes easier to follow and more accessible.
I had been collecting recipes from various websites into a Notion database using Notion Web Clipper but found the formats inconsistent and hard to follow
I had setup templates but they were cumbersome to work with and go back to populate
Needed a way to standardize recipe formats from various sources and enrich them with additional metadata
I built a simple webapp that pulls recipes that have incomplete data from the Notion database, uses OpenAI to parse and enrich the recipe data.
The enriched daata is displayed to suers for review and editing and if the suer confirms the data the Notion database is updated via Notion API
Blog posts about this project and related topics
How I evaluated four different approaches to natural language parsing for Trip Threads and what I learned about building AI-powered products.
Notes from building Trip Threads — a personal experiment in making travel planning and coordination simpler, smarter, and a bit more human.
How Claude Code on the web turned my dog walks into productive coding sessions.
How I rebuilt my workflow in 2025 | from chasing speed to building with direction.