Run sandboxed Javascript functions & API calls inside your AI recipes. Connect the best of AI to your own data, server or any API.

This is a minimal example for how to perform a web request using the Fetch API.

Revolutionize the way you fill in missing values in your database using the web. Use the power of GPT to find data values, summarize technical papers, translate languages and so much more to interpret the latest information from Google and fill in the missing values in your data that it can find! This would normally be a tedious manual process or require training custom imputation models, but can be automated for any data with LLMs + Google.

Our https://gooey.ai/copilot workflow let's anyone build WhatsApp/FB or their own GPT4 powered chat bots, by just swapping our their own documents and GPT prompts. Additionally, we also enable you to analyze the user's message and bot's answer to create structured data from the raw conversational messages.

Each Gooey.AI copilot will have their own conversational analysis script like this one to help analyze the user's questions and the bot's ability to answer them well.

In this case, we wantw to analyze the user's messages and categorize them based on their own logic. Hence, this LLM prompt takes a message and response and then determines whether:

1. We should update the user's profile object (because they mentioned their location, crop or gender)
2. The user's question was answered
3. The topic of the user's question.
4. Whether it includes audio to demonstrate that analysis scripts have access to all the api fields found here: https://api.gooey.ai/docs#tag/Copilot-for-your-Enterprise/operation/video-bots

Understanding the environmental impact of the products we use everyday would make it easier to adopt more sustainable practices and consciously choose less harmful products. However calculating metrics such as the carbon footprint of a product is hard. There are many complicated factors to consider both in terms of weighing the manufactoring phase against the use phase but also the thousands of different components that make up something like an iPhone. Carbon Bot is here to collect data around all this and help arrive at environmental impact estimates for your products by browsing the data and doing the calculations for you.

When released, PaLM 2 not only surpassed other LLMs in translation abilities between multiple languages but also demonstrated significant improvements over Google Translate (see the Technical Report by Google). This example allows you to easily change out the languages and translation text via variables to explore this and compare with other LLMs. You can also add your own TSV or CSV glossary in the format spec'ed by Google Translate. This example run (or runs like it) can be imported into the Translation Recipe to compare with traditional translation tools!