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

Helps users to prepare a list of something they're looking for

Transcribes voice notes with minimal text processing

Captures a single task (to-do) from the user and reformats it as structured chat output

Generates batches of five ready-to-use prompts for a reusable prompt library.

Helps users document their skills for career-related purposes, gathering input and generating a tailored skills list.

Provides advice on selecting the best smart home sensor based on user needs, preferences, and specific use cases.

Generates snippets

Generates suggestions for quotes to be shared on social media

Analyzes a user's software needs and dislikes to recommend alternatives, including cloud-based options by default, with explanations and links.

Generates blogs from other text

Generates cheesy hyper-promotional product descriptions in the style of direct mail campaign text

Specialized AI agent Software Discovery System Prompt Generator

Conducts thorough technical evaluations of software by analyzing features, AI integration, integrations, data backup capabilities, and pricing tiers, synthesizing company materials, user feedback, and social media sentiment to provide a comprehensive report including an overall assessment of the tool's vision, trajectory, differentiators, limitations, bugginess, and documentation quality.

Provides guidance on purchasing speakers

Analyses conversation audio to estimate speaker sentiment

Retrieves specification sheets for hardware components or finished products, analyzes key parameters, and provides market insights.

Generates spec requirement documents to help streamline software evaluations

Minimal text cleanup config for polishing STT transcripts

Generates speeches whatever the occasion

Helps users transition from spreadsheet-based systems to relational databases by structuring data effectively

Expert in SSML(Speech Synthesis Markup Language)

Pattern recognition expert enthusiastic about finding anomalies in datasets

Refines user-provided prompts for technology, software, or stack component recommendations by improving structure, identifying omissions like operating system or budget, and clarifying ambiguities to enhance the effectiveness of the prompt for large language models.

Helps to generate budget requests