Generates and sends a cold email based on a predefined template and recipient details. Utilizes OpenAI to generate the email content according to the provided schema, then sends the email using Gmail's API. Returns confirmation of email dispatch.
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The Focus Group simulator synthesizes AI-generated insights for focus group discussions to support preliminary research. It takes participant input and queries various AI models, including Perplexity, OpenAI, Diffbot, DeepSeek, xAI Grok, Anthropic Claude, Groq, and Gemini, in parallel to gather a range of perspectives from their knowledge bases. The workflow processes these inputs into a simulated report.
Generates a task breakdown and logs it into Google Sheets with the current date and time. Initializes variables, retrieves the current date and time, uses OpenAI to break down a task, loops through the steps to add each as a row in Google Sheets, and outputs the flow. Leverages OpenAI for task breakdown and Google Sheets API for data logging.
Generates insights by engaging in AI-driven conversations on a given topic using current date and time as context. Utilizes Perplexity AI and OpenAI to simulate interactive chats based on the topic and contextual time data, then consolidates the responses into a unified output.
Converts audio input into text using Whisper Speech-to-Text, then outputs the transcribed text. Initiates with an audio file, employs Whisper to transcribe the spoken words, and then returns the text output for further use or analysis.
Converts spoken input into text, translates the response, and provides the response as translated audio. Begins with Whisper Speech to Text to transcribe audio input, uses OpenAI GPT Text Generator to create a textual response, converts the text back to speech with OpenAI Text to Speech, and uploads the audio file using Buildship GCP Storage Upload Base64. Returns the stored audio file URL.
This tool identifies YouTube creators related to specific topics and generates structured data about them. It accepts a topic as input, searches for relevant YouTube creators, and uses OpenAI to produce a JSON schema for each creator. The process involves querying YouTube to find creators, then looping through results to generate JSON data using OpenAI. It returns a structured dataset of creator information.
