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Here's my LLM stack (including some self-hosted options):
Ollama is an open-source AI platform and framework designed to run and manage large language models (LLMs) directly on users' local machines, rather than relying on cloud-based services.
LM Studio is a free, local AI platform that enables users to run open-source large language models (LLMs) directly on their machines without relying on cloud services or incurring usage fees.
Venice.ai is a privacy-first, decentralized generative AI platform that offers text, image, and code generation using leading open-source AI models. It emphasizes user privacy by not storing any user data or conversations on centralized servers and employs end-to-end encryption and decentralized computing to ensure secure, anonymous AI interactions. Venice.ai also commits to free speech and uncensored AI, providing unfiltered responses without content moderation or censorship typically seen in mainstream AI platforms.
OpenRouter is an AI platform that acts as a centralized hub providing unified access to hundreds of large language models (LLMs) and AI providers like OpenAI, Anthropic, Claude, Gemini, and many more through a single API. It simplifies AI integration by allowing developers and businesses to switch between different AI models without needing to change their code, optimizing for factors such as cost, performance, and availability.
KiloCode is an open-source AI-powered coding assistant designed primarily as a Visual Studio Code (VS Code) extension to enhance software development productivity. It helps developers by generating code from natural language descriptions, automating repetitive tasks, debugging issues, refactoring existing code, and providing intelligent context-aware suggestions across multiple programming languages.
The "RCS-CO Prompt Methodology" is a structured prompt engineering framework designed to improve interactions with large language models (LLMs). It breaks down complex user requests into simple, repeatable, and clearly defined steps to ensure the AI produces accurate, context-appropriate, and tailored responses. This methodology helps transform AI from a casual toy into a professional, reliable tool by guiding the prompt creation process systematically.