# AsterMind AI > Neuro-symbolic intelligence platform that learns from live environments, adapts continuously, and deploys across cloud, on-premise, and air-gapped infrastructure — with Instant Training in seconds and no GPU required. AsterMindAI Corporation builds the EVO Platform, a fundamentally different approach to artificial intelligence based on biological and cybernetic principles. Rather than analysing static datasets, EVO observes environments as they operate, learns continuously from incoming information, and understands how systems behave as conditions change. The EVO Platform delivers 99% faster execution and 90% smaller models than traditional deep learning, supports continuous learning with Instant Training (seconds, no GPU), and produces deterministic, explainable inference suitable for real-time and mission-critical systems. EVO Capability Modules extend EVO Core for classification, anomaly detection, virtual assistants, and adaptive data operations. This file is auto-generated from the site's route map and content library on every build. ## Main - [AsterMind AI — Home](https://www.astermind.ai/): Neuro-symbolic intelligence platform that learns from live environments. - [EVO Platform Features](https://www.astermind.ai/evo-ai-platform-features): Feature overview of the EVO neuro-symbolic AI platform: Instant Training, continuous learning, deterministic inference. - [AsterMind Pricing](https://www.astermind.ai/astermind-pricing-overview): Pricing tiers for EVO Platform, EVO Capability Modules, and support plans. ## Products - [EVO Platform](https://www.astermind.ai/evo-neuro-symbolic-ai-platform): The core neuro-symbolic intelligence platform. Learns from live environments and constructs evolving digital representations of system behaviour. - [EVO Architecture](https://www.astermind.ai/evo-architecture): Deep dive into the proprietary neural topology and intelligence architecture behind the EVO Platform. - [Where EVO Works](https://www.astermind.ai/where-evo-works): Environments EVO operates in: data, visual, and research environments across cloud, on-premise, and air-gapped deployments. - [Why EVO](https://www.astermind.ai/why-evo): The five structural limits of today's AI and how EVO's neuro-symbolic approach solves them. - [EVO AI Benchmarks](https://www.astermind.ai/evo-ai-benchmarks): Performance benchmarks for the EVO Platform: 99% faster execution, 90% smaller models, Instant Training with no GPU required. - [Products Overview](https://www.astermind.ai/astermind-products-overview): Complete AsterMind AI product ecosystem overview. - [AsterMind ELM Community Edition](https://www.astermind.ai/free-extreme-learning-machine-ai-javascript-toolkit): Free JavaScript toolkit for Extreme Learning Machine (ELM) technology. ## Solutions - [EVO Virtual Assistant](https://www.astermind.ai/virtual-assistant-rag-ai-evo-solution): Browser-native, closed-form AI stack for retrieval, reranking, and summarization with deterministic processing and millisecond training. - [AsterMind ETL](https://www.astermind.ai/extract-transform-load-ai-solution-adaptive-learning): AI-powered ETL solution with adaptive learning capabilities. - [Industries](https://www.astermind.ai/solutions/industries): Industry-specific applications of the EVO Platform. - [Use Cases](https://www.astermind.ai/solutions/use-cases): Practical use cases for EVO across industries. ## Documentation - [ELM Technology Background](https://www.astermind.ai/docs/extreme-learning-machine-technology-background): Technical background on Extreme Learning Machine technology. - [Math for Machine Minds Tutorial](https://www.astermind.ai/docs/math-for-machine-minds-tutorial): Mathematical foundations tutorial for neuro-symbolic AI. - [ELM Technical Requirements](https://www.astermind.ai/astermind-elm-technical-requirements): System and technical requirements for ELM deployment. - [ELM Documentation & API Usage](https://www.astermind.ai/astermind-elm-documentation-and-api-usage): Complete API documentation and usage guides. - [Getting Started](https://www.astermind.ai/getting-started): Quick start guide for new users. ## Resources - [AsterMind AI Whitepaper](https://www.astermind.ai/astermind-ai-whitepaper): Comprehensive whitepaper on AsterMind's neuro-symbolic intelligence approach. - [EVO Classification Whitepaper](https://www.astermind.ai/evo-classification-whitepaper): Technical whitepaper on EVO classification capabilities. - [Anomaly Detection & Root-Cause Analysis Whitepaper](https://www.astermind.ai/anomaly-detection-and-root-cause-analysis-whitepaper): Whitepaper on EVO's approach to anomaly detection and root-cause analysis in real-time systems. - [Decentralized ELM Architectures](https://www.astermind.ai/resources/decentralized-elm-architectures-inspired-by-nature): Research on decentralized ELM architectures inspired by biological systems. - [AsterMind vs Agentic AI and MCP](https://www.astermind.ai/astermind-vs-agentic-ai-and-mcp): Comparison of AsterMind with agentic AI frameworks and Model Context Protocol. ## Company - [The AsterMind Vision on AI](https://www.astermind.ai/the-astermind-vision-on-ai): Company's vision for the future of artificial intelligence. - [Why AI Fails in Real-World Environments](https://www.astermind.ai/why-ai-fails-in-real-world-environments): Analysis of structural limitations in current AI systems. ## Legal - [Terms of Service](https://www.astermind.ai/terms-of-service): AsterMind AI Terms of Service. - [Privacy Policy](https://www.astermind.ai/privacy-policy): AsterMind AI Privacy Policy. - [Acceptable Use Policy](https://www.astermind.ai/acceptable-use-policy): AsterMind AI Acceptable Use Policy. - [End-User License Agreement](https://www.astermind.ai/end-user-license-agreement): AsterMind AI EULA. - [Refund Policy](https://www.astermind.ai/refund-policy): AsterMind AI Refund Policy. - [Data Processing Agreement](https://www.astermind.ai/data-processing-agreement): AsterMind AI Data Processing Agreement. - [Service Level Agreement](https://www.astermind.ai/service-level-agreement): AsterMind AI Service Level Agreement. - [AI Policy Statement](https://www.astermind.ai/ai-policy-statement): AsterMind AI Policy Statement. ## Blog - [New White Paper: The Recurring Anomaly Detection & Root Analysis Pattern](https://www.astermind.ai/blog/anomaly-detection-and-root-cause-analysis-whitepaper): We're excited to announce the release of **The Recurring Anomaly Detection & Root Analysis Pattern** — a new technical white paper that traces the same detection-to-root-cause pattern across six very different industries and shows how a single neuro-symbolic AI implementation covers them all. - [EVO Classification White Paper Now Available](https://www.astermind.ai/blog/evo-classification-whitepaper): We're excited to announce the release of the **EVO Classification White Paper** — a comprehensive technical deep dive into EVO's neuro-symbolic classification engine for enterprise data. - [Enhance your sensor network with AsterMind AI](https://www.astermind.ai/blog/enhance-your-sensor-network-with-astermind-ai): How AsterMind's technology transforms sensors into intelligent, situationally-aware systems. - [AsterMind AI White Paper Now Available](https://www.astermind.ai/blog/astermind-ai-whitepaper-now-available): We're excited to announce the release of the **AsterMind AI White Paper 2026** — a comprehensive deep dive into our revolutionary approach to artificial intelligence. - [From Feedback Loops to Self-Regulating AI: How the Pioneers of Cybernetics Shaped Modern Machine Learning](https://www.astermind.ai/blog/pioneers-of-modern-ai-cybernetics-astermind): _The visionary work of W. Ross Ashby and Norbert Wiener in the 1940s laid the foundation for today's most advanced AI systems—including the self-regulating neural architectures powering AsterMind-ELM._ - [What is an Extreme Learning Machine (ELM)?](https://www.astermind.ai/blog/what-is-an-extreme-learning-machine-elm): *A deep dive into the neural network architecture that's bringing instant, privacy-first machine learning to the browser* - [Welcome to the AsterMind Blog](https://www.astermind.ai/blog/introducing-astermind-blog): We're thrilled to announce the launch of our official blog! This is where we'll share the latest developments in Extreme Learning Machine technology, research breakthroughs, practical tutorials, and exciting demos. Explore the [AI Academy](/academy) for in-depth educational content, and discover the [EVO Platform](/evo-neuro-symbolic-ai-platform) powering our technology. ## Academy AsterMind AI Academy — an open glossary of 69+ AI, machine-learning, and neuro-symbolic AI concepts. - [What Is Agentic AI?](https://www.astermind.ai/academy/agentic-ai): **Agentic AI** is the paradigm of building AI systems that act autonomously — planning, reasoning, using tools, and executing multi-step tasks with minimal human supervision. While the term "AI agent… - [What Is AGI (Artificial General Intelligence)?](https://www.astermind.ai/academy/agi): **Artificial General Intelligence (AGI)** refers to a hypothetical AI system that can understand, learn, and apply knowledge across any cognitive task at a level equal to or surpassing human intellig… - [What Is an AI Agent?](https://www.astermind.ai/academy/ai-agent): An **AI agent** (also called **agentic AI**) is an autonomous AI system that can perceive its environment, make decisions, plan multi-step actions, use external tools, and execute tasks with minimal… - [What Are AI APIs?](https://www.astermind.ai/academy/ai-api): **AI APIs** are programmatic interfaces that allow developers to access AI models and services through standard HTTP requests. Instead of training and hosting your own models, you send data to an API… - [What Is AI Bias?](https://www.astermind.ai/academy/ai-bias): **AI bias** refers to systematic errors or unfairness in AI system outputs that arise from biased training data, flawed design assumptions, or societal patterns encoded in data. Biased AI can produce… - [What Are AI Evaluation Benchmarks?](https://www.astermind.ai/academy/ai-evaluation-benchmarks): **AI evaluation benchmarks** (often called "evals") are standardized tests and datasets used to measure the capabilities of AI models across specific dimensions — reasoning, coding, mathematical abil… - [What Is a Foundation Model?](https://www.astermind.ai/academy/ai-foundation-models): A **foundation model** is a large AI model trained on broad, diverse data at scale that can be adapted (fine-tuned) to a wide range of downstream tasks. The term was coined by Stanford's Center for R… - [What Is AI Orchestration?](https://www.astermind.ai/academy/ai-orchestration): **AI orchestration** is the practice of coordinating multiple AI components — agents, models, tools, data sources, and human reviewers — into coherent, reliable workflows. As AI systems move from sin… - [What Is AI Reasoning?](https://www.astermind.ai/academy/ai-reasoning): **AI reasoning** refers to an AI model's ability to think through multi-step problems logically, drawing conclusions from available information through structured inference. Modern reasoning models c… - [What Is AI Regulation?](https://www.astermind.ai/academy/ai-regulation): **AI regulation** refers to the legal frameworks, standards, and governance structures that govern how artificial intelligence systems are developed, deployed, and used. As AI becomes embedded in cri… - [What Is AI Safety & Alignment?](https://www.astermind.ai/academy/ai-safety-alignment): **AI safety** is the field of research and engineering dedicated to ensuring AI systems operate reliably, avoid harmful outcomes, and remain under meaningful human control. **AI alignment** is the sp… - [AI Without Hallucinations](https://www.astermind.ai/academy/ai-without-hallucination): **AI without hallucinations** describes systems engineered so that their outputs are *grounded, verifiable and traceable* rather than probabilistically generated. A [hallucination](/academy/hallucina… - [What Is the Attention Mechanism?](https://www.astermind.ai/academy/attention-mechanism): The **attention mechanism** is a neural network technique that allows models to dynamically focus on the most relevant parts of their input when producing each element of the output. Instead of compr… - [What Is Autonomous AI?](https://www.astermind.ai/academy/autonomous-ai): **Autonomous AI** refers to artificial intelligence systems capable of operating independently in real-world environments — perceiving their surroundings, making decisions, planning actions, and exec… - [What Is Backpropagation?](https://www.astermind.ai/academy/backpropagation): **Backpropagation** (short for "backward propagation of errors") is the core algorithm used to train neural networks. It calculates how much each weight in the network contributes to the overall pred… - [What Is a Chatbot?](https://www.astermind.ai/academy/chatbot): A **chatbot** is a software application that conducts conversation with users through text or voice, simulating human-like dialogue. Modern chatbots powered by large language models can understand co… - [What Is Chunking?](https://www.astermind.ai/academy/chunking): **Chunking** is the process of breaking down large documents into smaller, manageable segments (chunks) that can be individually embedded and retrieved in AI systems. It's a critical step in Retrieva… - [What Is Computer Vision?](https://www.astermind.ai/academy/computer-vision): **Computer vision** is a field of artificial intelligence that enables machines to interpret, analyze, and make decisions based on visual data — images, videos, and real-time camera feeds. It aims to… - [What Is Constitutional AI?](https://www.astermind.ai/academy/constitutional-ai): **Constitutional AI (CAI)** is a training methodology developed by Anthropic where AI models are guided by an explicit set of principles — a "constitution" — that defines acceptable behavior. Rather… - [What Is a Context Window?](https://www.astermind.ai/academy/context-window): A **context window** (also called context length) is the maximum number of tokens that a large language model can process in a single interaction. It defines the total "working memory" of the model —… - [What Is an AI Copilot?](https://www.astermind.ai/academy/copilot): An **AI copilot** is an AI assistant embedded directly into a specific tool or workflow, providing contextual suggestions, automating repetitive tasks, and augmenting human decision-making in real-ti… - [What are Cybernetic Principles](https://www.astermind.ai/academy/cybernetic-principles): Cybernetic principles are the foundational rules governing **control, communication, and self-regulation** in both living organisms and machines. Coined from the Greek word _κυβερνήτης_ (_kybernḗtēs_… - [What Is Data Drift?](https://www.astermind.ai/academy/data-drift): **Data drift** occurs when the statistical properties of the data an AI model encounters in production change over time, diverging from the data it was trained on. This mismatch causes the model's pe… - [What Is Deep Learning?](https://www.astermind.ai/academy/deep-learning): **Deep learning** is a specialized branch of machine learning that uses neural networks with multiple hidden layers — known as **deep neural networks** — to automatically learn hierarchical represent… - [What Are Diffusion Models?](https://www.astermind.ai/academy/diffusion-models): **Diffusion models** are a class of generative AI models that create new data (typically images or video) through a process of iteratively removing noise from random static. The model learns to rever… - [What Is Edge AI?](https://www.astermind.ai/academy/edge-ai): **Edge AI** refers to running artificial intelligence algorithms directly on local devices — at the "edge" of the network — rather than sending data to a centralized cloud server for processing. This… - [What Are Embeddings?](https://www.astermind.ai/academy/embeddings): **Embeddings** are dense numerical vector representations of data — text, images, audio, or any other data type — that capture semantic meaning in a mathematical form. In an embedding space, semantic… - [What Is Explainable AI (XAI)?](https://www.astermind.ai/academy/explainable-ai): **Explainable AI (XAI)** refers to AI systems and techniques that make their decision-making processes transparent and understandable to humans. While many AI models (especially deep learning) operat… - [What Is an Extreme Learning Machine (ELM)?](https://www.astermind.ai/academy/extreme-learning-machine): An **Extreme Learning Machine (ELM)** is a type of feedforward neural network with a single hidden layer where the input-to-hidden weights are randomly assigned and never updated. Only the output wei… - [What Is Fine-Tuning?](https://www.astermind.ai/academy/fine-tuning): **Fine-tuning** is the process of taking a pre-trained AI model and continuing its training on a smaller, task-specific or domain-specific dataset. This adapts the model's general knowledge to excel… - [What Is Generative AI (GenAI)?](https://www.astermind.ai/academy/generative-ai): **Generative AI (GenAI)** refers to artificial intelligence systems capable of creating new content — text, images, code, audio, video, and 3D models — based on patterns learned from massive training… - [What Are AI Guardrails?](https://www.astermind.ai/academy/guardrails): **Guardrails** are safety mechanisms, rules, and constraints built into AI systems to prevent them from producing harmful, inaccurate, biased, or off-topic outputs. They act as protective boundaries… - [What Is AI Hallucination?](https://www.astermind.ai/academy/hallucination): **AI hallucination** (also called confabulation) occurs when an AI model generates information that is factually incorrect, fabricated, or nonsensical — but presents it with the same confidence as ac… - [How to Replace an LLM in Real-Time Systems](https://www.astermind.ai/academy/how-to-replace-an-llm-in-real-time-systems): Many teams reach for a [large language model](/academy/large-language-model) to add intelligence to a system, then discover that the LLM is the wrong tool the moment that system has to operate in **r… - [What Is AI Inference?](https://www.astermind.ai/academy/inference): **Inference** is the process of using a trained AI model to make predictions, generate content, or produce outputs from new, unseen input data. While training teaches the model *what to know*, infere… - [What Is a Knowledge Base?](https://www.astermind.ai/academy/knowledge-base): A **knowledge base** is a structured repository of information that AI systems use to retrieve factual, up-to-date data for generating accurate responses. In the context of modern AI, knowledge bases… - [What Is a Large Language Model (LLM)?](https://www.astermind.ai/academy/large-language-model): A **Large Language Model (LLM)** is a type of artificial intelligence trained on vast amounts of text data to understand, generate, and reason about human language. LLMs are built on the **Transforme… - [What Is Latency in AI?](https://www.astermind.ai/academy/latency): **Latency** in AI refers to the time delay between providing input to an AI system and receiving its output. In the context of LLMs, latency is typically measured as **Time to First Token (TTFT)** —… - [What Is Machine Learning?](https://www.astermind.ai/academy/machine-learning): **Machine learning (ML)** is a branch of artificial intelligence where systems learn patterns from data and improve their performance over time — without being explicitly programmed for every scenari… - [What Is Mixture of Experts (MoE)?](https://www.astermind.ai/academy/mixture-of-experts): **Mixture of Experts (MoE)** is a neural network architecture that introduces **sparsity** into the model — instead of activating the entire network for every input, a routing mechanism selects only… - [What Is MLOps / LLMOps?](https://www.astermind.ai/academy/mlops): **MLOps** (Machine Learning Operations) is a set of practices that combines machine learning, DevOps, and data engineering to deploy, monitor, and maintain ML models in production reliably and effici… - [What Is the Model Context Protocol (MCP)?](https://www.astermind.ai/academy/model-context-protocol): The **Model Context Protocol (MCP)** is an open standard created by Anthropic for building secure, two-way connections between AI assistants and external data sources, tools, and services. MCP replac… - [What Is Model Distillation?](https://www.astermind.ai/academy/model-distillation): **Model distillation** (or knowledge distillation) is a technique for creating smaller, faster AI models by training a compact "student" model to replicate the behavior of a larger, more capable "tea… - [What Is Multimodal AI?](https://www.astermind.ai/academy/multimodal-ai): **Multimodal AI** refers to artificial intelligence systems that can process, understand, and generate content across multiple data types (modalities) — text, images, audio, video, and more — within… - [What Is Natural Language Processing (NLP)?](https://www.astermind.ai/academy/natural-language-processing): **Natural Language Processing (NLP)** is a field of artificial intelligence focused on enabling computers to understand, interpret, and generate human language. NLP bridges the gap between human comm… - [What Is a Neural Network?](https://www.astermind.ai/academy/neural-network): A **neural network** (also called an **artificial neural network** or ANN) is a computational model loosely inspired by the way biological neurons in the human brain process information. Neural netwo… - [Neuro-Symbolic AI vs Deep Learning](https://www.astermind.ai/academy/neuro-symbolic-ai-vs-deep-learning): **Neuro-symbolic AI** and **deep learning** are frequently framed as competing approaches, but the relationship is more subtle — and more useful — than a contest. [Deep learning](/academy/deep-learni… - [Neuro-symbolic AI versus LLMs](https://www.astermind.ai/academy/neuro-symbolic-ai-vs-llms): **Neuro-symbolic AI** and **large language models (LLMs)** are often discussed as if they were competitors for the same job. They are not. They are different classes of system, built for different pr… - [What Is Neuro-symbolic AI?](https://www.astermind.ai/academy/neuro-symbolic-ai): **Neuro-symbolic AI** is a subfield of artificial intelligence that integrates **neural methods** — such as [neural networks](/academy/neural-network) and [deep learning](/academy/deep-learning) — wi… - [What Is Overfitting?](https://www.astermind.ai/academy/overfitting): **Overfitting** occurs when a machine learning model learns the training data **too well** — including its noise, outliers, and random fluctuations — rather than learning the underlying generalizable… - [What Is Pre-Training?](https://www.astermind.ai/academy/pre-training): **Pre-training** is the initial training phase where an AI model learns general-purpose representations from large, unlabeled datasets. During pre-training, the model develops a broad understanding o… - [What Is Prompt Engineering?](https://www.astermind.ai/academy/prompt-engineering): **Prompt engineering** is the practice of designing and optimizing the inputs (prompts) given to AI models to produce the most accurate, relevant, and useful outputs. It's both an art and a science —… - [What Is Quantization?](https://www.astermind.ai/academy/quantization): **Quantization** is a model optimization technique that reduces the numerical precision of a model's weights and activations — typically from 32-bit floating point (FP32) to 16-bit (FP16), 8-bit (INT… - [What Is Reinforcement Learning?](https://www.astermind.ai/academy/reinforcement-learning): **Reinforcement learning (RL)** is a machine learning paradigm where an **agent** learns to make decisions by interacting with an **environment**. The agent takes actions, receives **rewards** or **p… - [What Is Retrieval-Augmented Generation (RAG)?](https://www.astermind.ai/academy/retrieval-augmented-generation): **Retrieval-Augmented Generation (RAG)** is an AI architecture that combines a **retrieval system** with a **generative language model** to produce responses grounded in factual, relevant source docu… - [What Is Retrieval Latency?](https://www.astermind.ai/academy/retrieval-latency): **Retrieval latency** is the time it takes to fetch relevant information from a knowledge base or vector database in response to a query. In RAG (Retrieval-Augmented Generation) systems, retrieval la… - [What Is Scalability in AI?](https://www.astermind.ai/academy/scalability): **Scalability** refers to an AI system's ability to handle increasing workloads — more users, more data, more requests — without degrading performance or requiring a complete redesign. A scalable AI… - [What Is Semantic Search?](https://www.astermind.ai/academy/semantic-search): **Semantic search** is an information retrieval approach that finds results based on the **meaning and intent** behind a query rather than relying on exact keyword matches. By understanding the seman… - [What Is Sentiment Analysis?](https://www.astermind.ai/academy/sentiment-analysis): **Sentiment analysis** (also called **opinion mining**) is a natural language processing technique that identifies and extracts the emotional tone or subjective opinion expressed in text. It determin… - [What Are Small Language Models (SLMs)?](https://www.astermind.ai/academy/small-language-models): **Small Language Models (SLMs)** are language models with roughly 0.5 billion to 7 billion parameters — significantly smaller than frontier LLMs like GPT-4 (estimated 1.8T parameters) or Claude (undi… - [What Is Supervised Learning?](https://www.astermind.ai/academy/supervised-learning): **Supervised learning** is the most widely used machine learning paradigm. The model learns from a dataset of **labeled examples** — input-output pairs where the correct answer (label) is known. The… - [What Is Synthetic Data?](https://www.astermind.ai/academy/synthetic-data): **Synthetic data** is artificially generated data that mimics the statistical properties and patterns of real-world data without containing actual records from real individuals or events. It's create… - [What Is Text-to-Speech & Speech-to-Text?](https://www.astermind.ai/academy/text-to-speech): **Text-to-Speech (TTS)** converts written text into natural-sounding spoken audio, while **Speech-to-Text (STT)**, also called Automatic Speech Recognition (ASR), converts spoken language into writte… - [What Is a Token in AI?](https://www.astermind.ai/academy/token): A **token** is the basic unit of text that a language model reads, processes, and generates. Tokens can be whole words, parts of words (subwords), individual characters, or even punctuation marks. Wh… - [What Is Transfer Learning?](https://www.astermind.ai/academy/transfer-learning): **Transfer learning** is a machine learning technique where a model trained on one task is **reused** as the starting point for a different but related task. Instead of training from scratch (which r… - [What Is a Transformer?](https://www.astermind.ai/academy/transformer): A **Transformer** is a neural network architecture introduced in the 2017 paper *"Attention Is All You Need"* by Vaswani et al. It replaced recurrent neural networks (RNNs) as the dominant architectu… - [What Is a Vector Database?](https://www.astermind.ai/academy/vector-database): A **vector database** is a specialized database designed to store, index, and query high-dimensional vectors (embeddings). Unlike traditional databases that search by exact matches or range queries,… - [What Are World Models?](https://www.astermind.ai/academy/world-models): **World models** are AI systems that learn to understand and simulate how environments — physical or virtual — work. They can predict what will happen next in a scene, how actions affect outcomes, an… - [What Is Zero-Shot & Few-Shot Learning?](https://www.astermind.ai/academy/zero-shot-learning): **Zero-shot learning** is the ability of an AI model to perform a task it has never been explicitly trained on, using only a natural language description. **Few-shot learning** extends this by provid… ## Optional - [Full content dump](https://www.astermind.ai/llms-full.txt): Every marketing, documentation, blog, and academy page inlined as markdown for offline AI ingestion. - [XML sitemap](https://www.astermind.ai/sitemap.xml): Machine-readable site map.