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What is an API wrapper around someone else's model An API wrapper is a project that calls another company's AI model — such as OpenAI's GPT, Anthropic's Claude, or Google's Gemini — via their API and presents the results as part of its own product. This is the...

What is an AI agent An AI agent is a software system that can perceive its environment, make decisions, and take actions to achieve goals — without needing a human to direct every step. Think of it as the difference between a calculator and a personal assistan...

What is the difference between assistant, copilot, chatbot, and agent Think of these four terms as positions on a remote-control spectrum. A chatbot is like a walkie-talkie: you talk, it talks back, end of interaction. An assistant is like a smart speaker that...

What is RAG (Retrieval-Augmented Generation) Imagine a student taking an open-book exam. Instead of answering every question from memory alone, the student flips through a textbook, finds the most relevant pages, reads them, and then writes an answer that comb...

What is zkML zkML (Zero-Knowledge Machine Learning) is a technique that uses zero-knowledge proofs to verify that a machine learning model ran its inference correctly — without revealing the model weights, the input data, or both. It provides a cryptographic g...

What are AI quality metrics and why they matter AI quality metrics are measurable values that describe how well an AI system performs its task — not in marketing terms, but in numbers with context. In the crypto AI space, where claims often outpace evidence, q...

Why AI in marketing does not equal working AI The gap between marketing AI and working AI is the central problem DecAIHub addresses. Hundreds of crypto projects use words like "AI-powered," "built with cutting-edge AI," or "our AI engine" in their branding — b...

Inference as an AI component Inference as an AI component means the project runs a trained model in production to produce outputs — predictions, classifications, generated text, images, or other results. When a DecAIHub project card lists an inference-related ...

Compute as an AI component Compute as an AI component means the project provides or orchestrates computational resources — GPUs, TPUs, CPUs — for AI workloads. When a DecAIHub project card lists a compute-related value in the AI component field, it describes ...

Data collection and labeling Data collection is the process of gathering raw data from various sources. Data labeling (also called annotation) is the process of attaching correct answers or metadata to that data so it can be used for supervised training. Toget...

Analytics and ranking as an AI component Analytics and ranking as an AI component means the project uses AI or machine learning to score, classify, rank, or analyze entities — projects, tokens, wallets, risks, or market conditions. When a DecAIHub project card...

Training as an AI component Training as an AI component means the project contains a system or pipeline that trains AI models — updating model weights on data to produce learned representations. When a DecAIHub project card lists a training-related value in th...

Retrieval and knowledge layer A retrieval and knowledge layer is a system that stores, indexes, and retrieves relevant information so that AI models can generate informed answers. It is the infrastructure that gives a model access to external knowledge — docum...

Agents as an AI component Agents as an AI component means the project's AI layer is built around an agent framework — a system that perceives inputs, makes decisions, and takes actions, often with memory, tools, and goals. When a DecAIHub project card lists an...

How to read composite AI categories DecAIHub assigns each project a composite category label such as AI/Agents | DeFi or AI/Compute | Infra. These labels look compact but carry two pieces of information at once: what kind of AI work the project does and wher...

AI/Agents AI/Agents is the largest category in DecAIHub. It groups every project whose core AI component is an autonomous or semi-autonomous agent — a software layer that perceives data, reasons about it, and takes actions without continuous human instruction....

AI/Compute AI/Compute groups projects that provide computational resources for AI workloads — the GPU and infrastructure layer of crypto AI. These are decentralized compute networks, GPU marketplaces, and orchestration platforms that let anyone contribute or c...

AI/Inference AI/Inference groups projects focused on running trained AI models in production — the stage where a model receives input data and produces a result (a prediction, a classification, a generated image, or a text response). This is the "last mile" of...