A practical knowledge base for AI protocols, agents, core concepts, frameworks, and tools.
Learn what GEO (Generative Engine Optimization) means and how it is used. GEO stands for Generative Engine Optimization. It's a new term that emerged after SEO, focused not on where a web page ranks in traditional search results, but on whether your content, brand, or viewpoint can be cited, understood, and recommended by AI search, chat assistants, and generative answers.
Learn what Fine-tuning means and how it is used. In an AI context, fine-tuning refers to continuing to train an existing base model with additional data, so the model better fits a certain kind of task, format, style, or domain.
Learn what AI Workflow means and how it is used. An AI workflow is a process that strings together multiple AI steps, tools, and human-confirmation points. It doesn't have to be complex—it can start with a small flow like "receive an email, automatically summarize the content, generate a draft reply, and have a person confirm before sending."
Learn what Model Routing means and how it is used. As the number of available models grows, one question becomes obvious: which model should I use? Some models are good at reasoning, some are cheap, some are fast, some support images, some have a long context window, and some are more stable in certain regions or at certain times. Model routing exists to serve this question.
Learn what AI Gateway means and how it is used. An AI gateway is common infrastructure when enterprises and teams use multiple models. It usually sits between applications and models, uniformly managing access, permissions, cost, security, logging, and routing.
Learn what Inference means and how it is used. Inference is easily misunderstood as referring only to complex logical reasoning. In fact, in a machine learning context it's broader: it refers to using an already-trained model to produce predictions, classifications, generations, or decisions for new inputs.
Learn what A2A (Agent2Agent) means and how it is used. A2A stands for Agent2Agent. In an AI context, it usually refers to a class of protocols or mechanisms that let different agents discover, communicate with, collaborate with, and hand off tasks to one another.
Learn what Tool Calling means and how it is used. Tool Calling is also often called Function Calling. It's the mechanism that lets a large language model request help from external tools, and it's an important foundation for an Agent to execute tasks.
Learn what Local Model means and how it is used. When you normally use ChatGPT, Claude, or Gemini, you're mostly calling the model in the cloud. The user's question is sent to the provider's servers, and the cloud model computes and returns the answer.
Learn what MCP (Model Context Protocol) means and how it is used. MCP stands for Model Context Protocol. It's an open protocol that lets AI applications connect to external tools and data sources.
Learn what VPN (Virtual Private Network) means and how it is used. VPN stands for Virtual Private Network. It isn't an AI-specific term, but you'll often run into it when using AI tools, APIs, relays, local services, and enterprise systems.
Learn what API Relay means and how it is used. An API relay is a term many AI tool users have run into recently. It usually refers to a transfer platform that sits between the user and the model's official service: instead of connecting directly to the official interfaces of OpenAI, Anthropic, Google, and others, the user calls the models through a unified address and key provided by the relay.
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