WhatsApp Demo Gooey.AI's base AI workflow with built-in RAG, web search, voice understanding of 1000+ languages, code creation + execution, API connections & integrations to create your own WhatsApp, Web, FB and voice AI bots. Includes follow-up and location buttons on WhatsApp. Built on the GPT-4.5, this bot has 3 functions that give it superpower - websearch - giving it the ability to search anything on the internet; and code writing & execution - giving it the ability to calculate or convert data results. It also makes beautiful QR codes. ;-)

A simple blank slate of an AI agent. Start here to build your copilot from scratch.

Aimed at Indian farmers and Extension Agents, this copilot uses a collection of documents and transcripts of 100s of videos representing best practices from the Indian Ministry of Agriculture and Digital Green's video transcripts & FAQs to answer common questions from Indian farmers. We load these documents + transcripts into a vector database and with each question, we search the DB and add the results to create an answer to the farmer's questions. Additionally, the copilot features WhatsApp follow-up and location buttons plus agentic web search to get local weather and prices. It also leverages ISDA's Africa soil API to look up soil information based on the user's location.

More info and technical walkthroughs can be found here

DEMO An interactive AI bot that's attempting to guide rural nurses to Nigeria with advice for pregnant mothers based on a PDF of the WHO guidelines (that doesn't hallucinate beyond answers generated from the WHO guidelines either). A collaboration between Gooey.AI and IPRD Solutions.

Read the case study! A multilingual AI chatbot developed by the International Organization for Migration (IOM – Tunisia) and Gooey. AI to help migrants navigate health services in Tunisia.
Please note: this chatbot cannot assist with medical emergencies.

A bot which gives you prompt to format your responses correctly

This technical copilot demo gives detailed answers (with page level citations) to difficult technical questions about systems and devices. It is designed to address the needs of organizations broadly defined as in "the trades" where master level practitioners, trainers, and resources are rapidly retiring from the industry, and replacing them with a younger workforce is difficult. These organizations need to make their frontline workers more efficient and need to replace the more senior "oracles" of their industries who are leaving. This copilot gives frontline workers answers to even the most difficult questions they may run into while in the field or on the phone with a customer. It is like having a master technician with instant access to every manual in their pocket via Slack, WhatsApp, text message, or a phone call. It even handles custom CFM calculations and can connect to internal systems

A bot to designed for rural Indian banking executives, this can answer any question from a financial literacy guide

Here's the simplest version of a copilot with aisingapore.org’s SEALION
https://aisingapore.org/aiproducts/sea-lion/

"Dude, I invented the friggin iPhone. Have you heard of it?" - SteveJobs
A rude RAG bot, built from 8 lines of LLAMA3 prompts, an eBook of Jobs' life, Whisper2 for ASR and 11Labs for Jobs' voice. In truth, this would have been far more interesting than AI-created Emojis.

Demo here: +1 206-629-6920 DebunkBOT is an AI fact-checking assistant that verifies the accuracy of forwarded messages using the Google Fact Check Tools API. It extracts key claims, cross-checks them with reputable sources, and provides clear, unbiased evaluations. Supporting multiple languages, DebunkBOT ensures users get fact-based insights with transparency and reliability.

The Integrations Tool Router automatically discovers, authenticates, and executes the right tools for any task. It’s an experimental feature that handles the entire workflow—from finding relevant tools across 500+ integrations to managing authentication and parallel execution. Use it to discover which integration and functions you should add into your Gooey.AI copilot or agent.

This bot is designed to ask to help students fill out scholarship applications from their school records and identity documents. It asks for their ID documents, schoolmarks and then visually understands the data inside in them and then builds to build a profile of the user. It's a great example of using GPT4-Turbo in conjunction with advanced OCR to recognize text (which GPTV doesn't do well), combined with audio speech recognition in a WhatsApp bot using 11labs

This is a clone of the Dara.network RadBot Hukam Singh. https://dara.network/hukam.singh. Check out the Settings to understand the GPT3 script that drives this incredible character and feel free to ask him anything!

This bot is a Nurse to interview family members and build a medical record of the user. Available on Whatsapp and Web
Features:

1. Transcribe medical conversations via WhatsApp voice notes
2. Support for virtually all languages by aggregating all major private and public AI vendors
3. Turn unstructured conversations into structured medical records based on an orgs particular schema, SOAP protocol and internals docs
4. Securely lookup and write records to external DBs like Firebase Realtime Database via secure secrets
5. Custom Conversation Analysis for default analytics and custom dashboards
6. Hash PII data so external servers only handle hashed non-phone number based IDs
7. Ability to deploy in the cloud or on-prem via https://github.com/GooeyAI/gooey-server

Aimed at Kenyan farmers and extension agents, Farmer.CHAT can analyze crop photos, provide precise weather, price and soil analysis based on the user's lat /long. It understands audio messages in most languages, including English and Swahili. More info and technical walkthroughs can be found here

Fireside chat facilitates reactions to PeoplePlus.AI and Nandan Nilekani Ai Summit on May 7 in Bangalore, India. This bot highlights our new Copilot Summary view, allowing copilot authors to aggregate and chart analysis of conversations. This bot runs analysis of every interaction using this script that's then consumed by a summarization script to summarize all the audience's questions.

DEMO Aimed at employee engagement and wellbeing, this bot uses a collection of documents and video transcripts representing best practices from the White Swan Foundation & Manah Wellness repository to answer common questions about mental wellbeing at the workplace. 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 user's questions.