







Search through recipe from the RecipeNLG recipe database with Typesense
RecipeRadar - search recipes by ingredients
RecipeRadar - search recipes by ingredients
Digital recipe management for fastidious cooks - localghost
Managing my collection of over 5000 digital recipes with Paprika, and the new features in Paprika 4 that give it a new lease of life

AI search answers are the fast food of your information diet – convenient and tasty, but no substitute for good nutrition
An information scientist explains that while Google’s AI Overviews and other AI search tools may look enticing, you shouldn’t rely on them to fill all your search needs.

AI search answers are the fast food of your information diet – convenient and tasty, but no substitute for good nutrition
An information scientist explains that while Google’s AI Overviews and other AI search tools may look enticing, you shouldn’t rely on them to fill all your search needs.

recipe.exchange - Share Your Recipes
A simple, clutter-free way to discover and share your favorite recipes.

Recipe Exchange Community Feed (@forum.recipe.exchange)
A stream of public recipes shared by the @recipe.exchange community. All interactions sync between Bluesky and recipe.exchange.
Cooked - Save recipes from anywhere
Are you tired of scattered recipes from the internet? Cooked transforms those long cluttered pages into a short version which you can save and read while cooking. Even works with videos!

The Unique Horrors of A.I. Food Slop
Why does it feel so unsettling when restaurants use generative A.I. to create their menus and promotional materials?

The Myth of the Instant Cake Mix
How to think about creative tooling in the new world of generative AI

Generative Search: Evidence from a Large-Scale Field Experiment
Generative search is an emerging search paradigm that integrates Generative AI (GenAI) into traditional search engines by presenting users with AI-generated responses before conventional search results. Whereas keyword-based search requires consumers to translate their underlying needs into effective keyword queries, generative search lets users express those intentions directly in natural language, a shift made possible by GenAI’s new mode of information presentation. This shift moves the consumer-search engine interaction upstream to the stage of problem formulation, rendering empirically observable a previously hidden phase of search behavior: the mapping from problem formulation to keyword articulation. Yet, it remains empirically unknown whether generative search increases consumer purchases and how search behavior changes when it can begin from expressed intent rather than keywords. Using a large-scale field experiment conducted on Meituan, a leading Chinese technology platform, this paper provides empirical evidence on the effectiveness of generative search. We find that generative search significantly increases consumer purchases. Further analysis reveals that generative search facilitates more effective and diverse keyword queries and reduces exploratory browsing and clicking, while concentrating evaluation within relevant categories and merchants. The empirical evidence is most consistent with a mechanism in which AI-generated answers provide information about consumers’ underlying needs, while also expanding awareness of relevant attributes and shifting attention toward more relevant categories. These findings provide empirical insights for future consumer search models that allow search to originate at the intention-expressing stage. This paper was accepted by Raphael Thomadsen, marketing. Funding: Financial support from the Ministry of Education – Singapore [Grant A-8001730-00-00] is gratefully acknowledged. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2025.02458 .

How to Use Delicious: The King of Social Bookmarking : Social Media Examiner
Social bookmarking with Delicious: a comprehensive guide to organize and bookmark your favorite content and use it in a variety of other ways.

Agent Recipes
Explore common agent recipes with ready to copy code to improve your LLM applications.

The Sifter - A Food History Research Tool
The Sifter is a public database, free to all users. It is a tool for finding and comparing historical and contemporary writing on food and food-related topics. It is overseen by an advisory board composed of members from The Oxford Symposium on Food and Cookery as well as other friends of food history. As with Wikipedia, the Sifter will be populated by its users. All entries will have an English translation, enabling users to search languages they cannot read. Soon, we will have over 100 languages represented. Registered users will be able to make corrections and add new information. Future releases will include a data visualization component. We also plan to include more resources linking to digitized photographs, artworks, television and film. With the aid of this tool, it is our hope that what has been invisible will come into focus.
‘Top Chef’ Host Kristen Kish Knows Good Snacks. Here Are the Treats She Always Packs.
The “Top Chef” host and celebrity chef is a master on-the-go snacker.
