Use crypto hashing with your copilot to secure your user data!

https://github.com/brix/crypto-js

Transcribe mp3, WhatsApp audio + wavs with OpenAI's Whisper or AI4Bharat / Bhashini ASR models. Optionally translate to any language too.

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.

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 POST request using the Fetch API and httpbin

A RAG + GPT4 based Slack bot to aid HVAC technicians. Trained on 1000s of manuals and training videos. Updated summarization to include manufacturer

Aimed at Indian farmers and Extension Agents, this bot uses a collection of documents and transcripts of 100s of videos representing best practices to answer common questions from Indian farmers. We load these documents + transcripts into a vector database. With each question, we search the vector DB and then add the results to a GPT script below to create an answer to the farmer's questions. Chat on WhatsApp here: http://wa.me/+12069293178.

Transcribe mp3, WhatsApp audio + wavs with OpenAI's Whisper or AI4Bharat / Bhashini ASR models. Optionally translate to any language too.