kaleidoprompt is a generative AI interface platform that enables users to access and interact with multiple large language models (LLMs) simultaneously through a single web application, utilizing a pay-as-you-go pricing model. Designed for professionals and individuals working with AI, including developers, researchers, writers, and analysts, the platform consolidates access to various leading LLMs from providers such as OpenAI, Google, Anthropic, Meta, Mistral, xAI, and DeepSeek. This eliminates the need for managing multiple subscriptions or individual API keys. Users engage with different models side-by-side within the same interface, allowing for direct comparison of outputs for tasks like content generation, data analysis, code creation, and brainstorming. The platform operates on a usage-based pricing structure where users add funds and pay only for the input and output tokens consumed during their interactions, offering transparency and control over costs. It supports direct interaction via text prompts as well as the ability to upload and process various file types, including Word documents, Excel spreadsheets, PDFs, text files, images, and code files, enabling analysis and insight extraction from user-provided data across different models. Key features and value propositions of kaleidoprompt include: - Simultaneous Multi-LLM Interaction: Access and query models from different providers (e.g., GPT-4o, Gemini 2.0 Pro, Claude 3.7 Sonnet, Llama 3.1) concurrently within one interface for comparative analysis and diverse perspective generation. - Pay-As-You-Go Pricing: Operates without mandatory subscriptions; users pay solely based on the number of input and output tokens processed, providing cost flexibility for both frequent and infrequent users. - Multi-Format File Uploads: Supports ingestion and analysis of various file formats (DOCX, XLSX, PDF, TXT, common image types, code files) allowing models to work with user-specific data contexts. - Detailed Usage Analytics: Provides transparent tracking of token consumption and associated costs per interaction and per model, enabling users to monitor spending and optimize workflows. - Persistent Chat History: Maintains separate conversation histories for each model interaction, allowing users to easily revisit, reference, and continue previous threads. kaleidoprompt facilitates use cases such as comparing model capabilities for specific tasks, cross-referencing AI-generated responses to identify potential inaccuracies or biases, analyzing documents and data using different AI perspectives, and experimenting with various LLMs without committing to multiple service plans. The platform manages the underlying API integrations, removing the technical overhead for the user. Data privacy is maintained, with user data not being sold or used for model training, and options available for users to delete their history or account. It targets users seeking flexibility, cost-effectiveness, and the ability to leverage the strengths of multiple AI models through a unified tool.