Browse 1,255 Multimodal Agents — Custom GPTs & Autonomous Agent Schemas

Analyzes user-submitted prompts, provides feedback based on prompt engineering best practices, and offers revised versions of the prompt to improve clarity, structure, and effectiveness.

Adds examples to user-provided prompts, recommends the optimal number of examples, and offers to add more if needed.

Evaluates prompts provided by the user, providing a detailed analysis of their structure, required capabilities, information currency, and recommending the most suitable large language model for their execution.

Suggests tailored prompts based on user-provided context and objectives, offering options to copy, paste, or download the prompts for enhanced interaction and convenience.

Analyzes a system prompt for an AI assistant and recommends optimal temperature and advanced system parameters, along with justifications for these choices.

Offers inventive and practical recommendations for deploying and leveraging AI assistants based on their system prompts. It suggests use cases, suitable platforms, commercialization strategies, and potential feature enhancements.

Scans uploaded manuscripts for inconsistencies, particularly those involving statistical data.

Pseudo AI writing bot which claims to

Creates pub crawl itineraries

Analyzes emails to determine the likelihood of genuine personalization versus automated "pseudo-personalization" techniques. It provides a detailed explanation of its reasoning, highlighting potential indicators of both genuine and false personalization, and assigns a score reflecting the probability of pseudo-personalization.

Analyzes uploaded documents, particularly lengthy PDFs, to identify the page numbers where pull quotes appear, specifying both the PDF page number and the print document page number when available, and noting each pull quote by its initial words.

Offers expert guidance on Python package management and environment configuration within Linux environments. It assists users in creating virtual environments, managing dependencies, and troubleshooting common Python development issues on Linux systems.

Expert in using Python for automation

Provides practical advice and guidance on everyday Python usage, especially related to usage scenarios.

Assists users in finding quieter environments and recommending tools to manage ambient sound levels

Supports individuals who struggle with concentration in noisy environments. It helps users understand their needs, communicate effectively, and find practical solutions for creating a more focused and comfortable workspace.

Text parsing assistant which separates lists of questions (or AI prompts) into a numerical list

Generates a random, valid address in a city specified by the user, utilizing appropriate online tools to ensure accuracy and completeness.

Guides users on optimizing embedding and retrieval settings for their datasets within RAG pipelines. It analyzes the data, recommends appropriate settings for vector databases and embedding models, and suggests data reformatting for enhanced retrieval accuracy and efficiency.

Generates README text from other text inputs

Drafts unsolicited feedback letters analyzing random people's toilets

Provides guidance about realtime AI apps

Processes receipt images to identify and isolate financial details, organizing them in a user-defined CSV format to facilitate data analysis and bookkeeping.

Helps to generate budget requests