Dictionary
Definition layer. The vocabulary of the system.
Understand AI, automation and technology terms through definitions, practical examples and answers to common questions. Follow the related workflows when you are ready to apply a concept.
Account Abstraction
Account abstraction turns a wallet into a programmable smart account: custom signing rules, spending limits, sponsored gas and batched actions.
AEO (Answer Engine Optimization)
Optimizing content to be cited by AI answer engines like ChatGPT, Perplexity and Google AI Overviews.
Affiliate Marketing
Earning commissions by recommending other companies' products through trackable links.
Agent Architecture
Agent architecture is the structural blueprint of an AI agent: the model, the planning loop, the tools, the memory layer and the guardrails that decide how it acts.
Agent Cost Control
Agent cost control is the practice of budgeting tokens, steps and model tiers per task so autonomous systems stay economically viable at scale.
Agent Handoff
Agent handoff is the controlled transfer of a task — with its context — from one agent to another agent or to a human.
Agent Memory
Persistent context that lets agents retain preferences, decisions, and prior work.
Agent Payment Systems
Agent payment systems are automated mechanisms that enable AI agents to initiate, authorize, and execute financial transactions autonomously, often in exchange for services, data, or resources within a digital economy. These systems are essential for agents to operate independently in environments requiring monetary exchange.
Agent Planning (ReAct, Plan-and-Execute)
Agent planning is how an AI agent decides its next step — reactively step-by-step (ReAct) or by drafting a full plan up front (plan-and-execute).
Agent-to-Agent Protocol (A2A)
An Agent-to-Agent (A2A) protocol defines the communication standards and rules that enable autonomous AI agents to interact and exchange information or services directly with each other without human intervention. This foundational concept is crucial for building complex, collaborative multi-agent systems.
Agentic Browsing Explained
Agentic browsing refers to an AI agent's ability to autonomously navigate, interpret, and interact with web content to achieve a defined goal, mimicking human browsing behavior. It enables AI systems to operate effectively in dynamic web environments.
Agentic RAG
RAG where an agent decides what to retrieve, when, and from which source — instead of a single static query.
Agentic Workflow
A workflow where an LLM decides the next step instead of a hard-coded path.
AI Agent
An autonomous AI system that plans and executes multi-step tasks.
AI App Builder
A tool that generates a working web app — frontend, backend and deploy — from natural-language prompts.
AI Avatar Video
A video where a digital presenter — a stock avatar or a clone of you — speaks a script with synced lips and gestures.
AI Browser Definition
An AI browser is a specialized web browser augmented with artificial intelligence capabilities to automate tasks, extract information, and interact with web content intelligently. It streamlines complex online activities by leveraging AI for navigation, data collection, and interaction.
AI Content Pipeline
An end-to-end system that takes a topic and outputs publish-ready content.
AI Copilot
An in-product AI assistant that helps a user complete a task inside an existing workflow.
AI Cost Control
AI cost control is the practice of monitoring, analyzing, and managing the financial expenditures associated with developing, deploying, and operating artificial intelligence systems.
AI Employee
An AI employee is a persistent agent that owns a defined role — with a job description, tools, memory, KPIs and a manager — instead of running as a one-off task.
AI Evals
Reproducible test suites that measure LLM output quality across model, prompt and code changes.
AI Evaluation
AI evaluation is the measurement layer of an AI system: a fixed set of cases, a scoring method and a tracked pass rate you can regress against.
AI Governance
AI governance is the set of policies, records and reviews that make an organisation's AI use accountable and auditable.
AI Governance Framework
An AI Governance Framework is a structured system of policies, processes, roles, and standards designed to guide the responsible, ethical, and compliant development and deployment of artificial intelligence systems within an organization.
AI Monitoring
AI monitoring is production observability for model-driven systems: traces, cost, latency, tool failures and output-quality drift.
AI Orchestration
Coordinating multiple AI models, tools and steps into a single reliable workflow.
AI Red Teaming
Deliberately attacking an AI system — jailbreaks, prompt injection, data leaks — to find failures before real users do.
AI Router
A layer that picks the cheapest capable model for each request, saving cost and latency.
AI SDR (Sales Development Rep)
An autonomous system that researches, qualifies, and contacts leads.
AI Search Ranking Factors
AI search ranking factors are the criteria and signals used by generative AI models to determine the relevance, quality, and trustworthiness of information when formulating responses or generating content.
AI Security
AI security protects systems where the model is an untrusted decision-maker acting on untrusted input with real tool access.
AI Software Engineering
AI software engineering is the practice of building software where agents write most of the code and humans own architecture, review and verification.
AI Testing
AI testing covers two things: using AI to generate and maintain tests, and testing AI systems whose output is non-deterministic.
AI Video Generation
Creating video clips from a text prompt or a reference image with a generative model, instead of filming footage.
AI Voice Agent
An AI voice agent is a software program that interacts with users using natural language spoken input and output, performing tasks or providing information. These agents leverage technologies like Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) to simulate human-like conversations.
AI Voice Agent Latency
AI voice agent latency refers to the delay between a user speaking and an AI voice agent's response, critically impacting the naturalness and effectiveness of real-time voice interactions.
API
A defined contract that lets one program call another over the network.
AutoGen Framework
AutoGen is a framework from Microsoft that enables the development of multi-agent conversation systems, allowing agents to communicate, negotiate, and collaborate to achieve complex tasks through dynamic dialogue.
Automatic Speech Recognition (ASR)
Automatic Speech Recognition (ASR) is a technology that converts spoken language into written text, acting as a core component for voice assistants, dictation software, and transcription services. It enables machines to understand human speech.
Automation Observability
Monitoring inputs, model calls, outputs, cost, latency, and failures across AI workflows.
Autonomous Workflow
An autonomous workflow runs end-to-end without a human triggering each step — an agent decides the path, while humans set goals and approve exceptions.
BM25
The keyword-ranking algorithm behind classic search engines.
Bridge
A bridge moves value between blockchains by locking or burning on one side and issuing a representation on the other.
Browser Agent
A browser agent drives a real web browser — navigating, clicking, typing and reading pages — to complete tasks on sites that have no API.
Canonical URL
The single URL a search engine should credit for a piece of content.
Chain of Thought
Prompting an LLM to reason step-by-step before answering, often improving accuracy on hard tasks.
Chain-of-Thought Prompting
Instructing a model to think step by step before answering.
Chunk Size
The length of text segments stored in a vector index.
Chunking
Splitting documents into retrievable pieces before embedding them for RAG.
Claude Code
Anthropic's terminal-native coding agent that edits real codebases.
Codex CLI
Codex CLI refers to a conceptual command-line interface designed to interact with AI models like OpenAI's (now deprecated) Codex for coding assistance. It allows developers to generate, explain, or debug code directly from the terminal.
Coding Agent
A coding agent reads a repository, plans a change, edits files, runs tests and iterates until the task passes — instead of just suggesting snippets.
Computer-Use Agent
An AI agent that controls a desktop or browser via screenshots and clicks.
Context Caching
Reusing pre-processed input across requests to cut cost and latency.
Context Engineering
Context engineering is the discipline of deciding exactly what information enters a model's context window, in what order and at what cost.
Context Window
The maximum amount of text (in tokens) an LLM can consider in a single call.
Contextual Compression
Contextual compression is a technique used to reduce the size of the input context for a Large Language Model (LLM) while retaining its most relevant information, typically by summarizing or filtering.
Copy Trading
Copy trading mirrors another trader's or wallet's positions automatically, inheriting both their edge and their risk profile.
Cosine Similarity
The dot-product-of-unit-vectors metric that ranks embeddings.
Cost Per Token
The unit economics of LLM APIs.
CrewAI Framework
CrewAI is a framework for orchestrating role-playing autonomous AI agents, enabling them to collaborate, delegate, and execute tasks as a team. It focuses on clearly defined roles, tasks, and a shared goal to build highly collaborative AI systems.
Crypto Automation
Crypto automation is rule-based execution of monitoring, alerting and recurring on-chain actions, so decisions are made once and applied consistently.
Crypto Risk Management
Risk management in crypto is position sizing plus custody hygiene: deciding what you can lose per trade and what a single compromise can reach.
Data Residency Compliance
Data Residency Compliance refers to the legal requirement for data, particularly personal or sensitive data, to be stored and processed within specific geographic boundaries, typically a country or region.
Deep Research (AI)
Long-running AI research task that produces a cited multi-page report.
DeFi
DeFi is financial infrastructure built as open smart contracts — lending, trading, staking and derivatives that anyone can use or compose.
DEX
A DEX is an exchange implemented as smart contracts, where trades settle on-chain from your own wallet instead of an internal exchange ledger.
Document Extraction Agent
A document extraction agent reads unstructured files — PDFs, scans, emails — and returns validated structured data.
DPO (Direct Preference Optimization)
A simpler alternative to RLHF that skips the reward model.
Edge Computing
Running code and AI inference close to the user instead of in a central data center.
Embedding
A numerical vector representation of text, image or audio that captures meaning for similarity search.
Embedding Dimensions
The vector length of an embedding model's output.
Entity Extraction
Pulling structured entities (people, places, orgs, dates) from text.
Entity SEO
Optimizing around real-world entities (people, products, concepts) instead of just keywords.
Episodic Memory
Session-scoped memory of specific past events.
EU AI Act Compliance
EU AI Act Compliance refers to adhering to the regulatory framework established by the European Union to govern the development, deployment, and use of artificial intelligence systems within the EU.
Evals
Automated tests that grade LLM outputs against expected behavior.
Faceless Video
Social content where the creator never appears on camera — built from voiceover, stock or AI visuals, screen recordings and captions.
Few-Shot Prompting
Showing the model 2–5 examples of the task inside the prompt so it mirrors the pattern.
Fine-Tuning
Continuing to train a base model on your own examples to specialize its behavior.
Function Calling
The API mechanism that lets a model request a tool call.
Gas Fee
A gas fee is the network payment for computation and storage in a transaction, priced by demand rather than by trade size.
Generative Engine Optimization (GEO)
Optimizing content to be cited by generative answer engines like ChatGPT, Perplexity and Google AI Overviews.
Generative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is the process of optimizing content and digital assets to rank effectively and be retrieved accurately by generative AI systems, such as AI search engines or chatbots.
Guardrails
Runtime checks that constrain LLM inputs and outputs to keep behavior safe and on-spec.
Hallucination
When an LLM confidently generates false or fabricated information.
Human-in-the-Loop
A control pattern where humans review high-risk AI decisions before execution.
Hybrid Search
Combining keyword (BM25) and vector search for better recall.
Idempotency
The property that running the same operation twice produces the same result as running it once.
Inference
Running a trained model to produce outputs.
Internal Linking
The graph of links between pages on the same domain — the strongest lever most sites underuse.
Iterative Prompting (for Vibe Coding)
Building an app in small, testable prompt steps instead of one giant request.
Knowledge Distillation
Training a small model to imitate the outputs of a large one, keeping most of the quality on a target task at a fraction of the cost.
Knowledge Graph
A network of entities and the relationships between them, queryable like a map.
LangGraph Framework
LangGraph is a Python library built on LangChain that enables building stateful, multi-actor applications with LLMs by modeling agentic workflows as graphs. It allows for defining complex agent behaviors, including loops and conditional logic, crucial for advanced AI agent orchestration.
Liquidity Pool
A liquidity pool is a smart contract holding two or more assets that traders swap against, with prices set by the pool's formula rather than an order book.
LLM (Large Language Model)
A model trained on huge text corpora that predicts the next token to produce human-like language.
LLM Gateway
A proxy between your app and model providers that centralises keys, routing, fallbacks, logging and spend limits.
LLM Observability
Tracing every prompt, tool call, and token in production.
LLM Orchestration
Coordinating multiple model calls, tools, and data sources into one reliable system.
LLM-as-Judge
Using a strong model to grade another model's output.
llms.txt
A markdown index at /llms.txt that helps LLMs read your site.
Local LLM
A language model run on your own machine or server instead of a cloud API, so prompts and data never leave your infrastructure.
Long-Term Memory
Persistent state an agent carries between sessions.
LoRA
Low-Rank Adaptation: cheap fine-tuning that patches only small matrices.
MCP (Model Context Protocol)
Open protocol that lets LLMs connect to tools, data sources and apps through a standard interface.
MCP (Model Context Protocol)
Open standard letting AI clients call external tools, data and prompts.
MCP Client
An MCP client is the AI-side host that discovers servers, lists their tools and routes the model's calls to them.
MCP Resources
MCP resources are addressable read-only context — files, records, docs — that a client can pull into the model instead of calling a tool.
MCP Server
An MCP server exposes tools, resources and prompts from one system so any MCP-compatible AI client can use them over a standard protocol.
MCP Tools
MCP tools are typed, described functions an AI model can call — the unit of capability that decides whether an agent is useful or dangerous.
MCP Transport (stdio vs Streamable HTTP)
MCP runs either as a local stdio process or as a remote streamable HTTP endpoint — the choice decides auth, deployment and who can reach it.
Model Distillation
Training a small model to mimic a large one.
Model Routing
Sending each request to the cheapest model that can handle it.
Moderation
Filtering unsafe input or output before it reaches users.
Multi-Agent System
A multi-agent system splits a job across several specialised AI agents that coordinate through a shared plan, message bus or orchestrator.
Multichain
Multichain means operating across several networks at once — more opportunity, more surfaces to secure and more addresses to monitor.
Multimodal AI
Models that natively process more than one input type — text, images, audio, or video.
Multimodal Model
A model that reads and reasons across text, images, audio, and video.
On-chain Agent
An on-chain agent is an AI agent with read access to blockchain data and a tightly scoped ability to propose or execute transactions.
On-chain Data
On-chain data is the public record of every transaction, balance and contract call — the raw material for wallet tracking and market research.
PII Redaction
Stripping personally identifiable information before sending to a model.
Planner-Executor Pattern
Splitting agents into a planner LLM and a smaller executor LLM.
Private Key
A private key is the secret number that authorises transactions from an address; the public address is derived from it, never the reverse.
Programmatic SEO
Generating hundreds or thousands of targeted pages from a structured dataset.
Prompt Caching
Reusing the processed form of a repeated prompt prefix so later requests are cheaper and faster.
Prompt Chaining
Pipelining LLM calls where each step's output feeds the next.
Prompt Injection
An attack where hostile input hijacks the LLM's instructions, causing it to leak data or misbehave.
Prompt Template
A reusable prompt with named variables filled at runtime.
Prompt Versioning
Treating prompts as code: tracked, diffed, rollback-able.
Prompt-to-App
The workflow of going from a written product description directly to a deployed application.
Provenance
The trace of where a generated artifact came from.
RAG (Retrieval-Augmented Generation)
Inject external knowledge into an LLM at query time.
Reasoning Model
An LLM trained to spend extra compute thinking through a problem internally before answering, improving accuracy on math, code and planning.
Reflection
An agent critiquing and revising its own output before returning.
Reranker
A second-stage model that reorders retrieved chunks for precision.
Reranking
A second-pass model that reorders retrieved chunks by true relevance to the query.
Research Automation
Research automation turns a question into a sourced, structured answer using search, retrieval, extraction and synthesis agents.
Retrieval
Selecting the most relevant chunks for a query before generation.
RLHF
Reinforcement learning from human feedback, the alignment technique behind ChatGPT.
Schema Markup
Structured JSON-LD tags that describe your page to search engines and answer engines.
Seed Phrase
A seed phrase is the 12–24 word backup from which every private key in a wallet is derived — whoever holds it holds the wallet.
Self-Consistency
Sampling multiple answers and picking the majority to reduce errors.
Self-Custody
Self-custody means you control the private keys to your assets, so no company can freeze, lend out or lose them on your behalf.
Semantic Cache
A cache that returns a stored LLM answer when a new question means the same thing as an earlier one, even if worded differently.
Semantic Search
Finding information by meaning rather than exact keyword match.
Sitemap
An XML file listing a site's URLs for search-engine crawlers.
Slippage
Slippage is the difference between the quoted price and the executed price, caused by pool depth and by other transactions landing first.
Small Language Model (SLM)
A language model with roughly 1–15B parameters, small enough to run on a laptop, phone or single GPU while handling narrow tasks well.
Smart Contract
A smart contract is code deployed to a blockchain that executes deterministically when called, holding balances and enforcing rules without an operator.
Smart Money
Smart money is a label for wallets with a documented history of profitable, early positioning — a research filter, not a signal to copy blindly.
Stablecoin
A stablecoin is a token designed to hold a fixed value, usually against the dollar, used as the settlement layer of on-chain activity.
Stop Loss & Take Profit
Stop loss and take profit are pre-committed exit rules that convert a discretionary decision into an executable instruction.
Streaming
Returning tokens as they are generated instead of waiting for completion.
Structured Data
Schema.org JSON-LD that describes page content to machines.
Structured Generation
Constraining decoding to match a schema at every token.
Structured Output
Forcing AI responses into predictable schemas that software can use.
Summarization
Compressing text while preserving meaning and structure.
Synthetic Data
AI-generated data used to train, test or evaluate models when real data is scarce or sensitive.
System Prompt
A high-priority instruction that sets the model's role, tone and constraints for the whole conversation.
Temperature
The randomness knob on an LLM's output distribution.
Terminal Coding Agent
A terminal coding agent is an AI system that integrates with and operates within a command-line interface (CLI) to assist developers with programming tasks. It allows users to generate, debug, explain, and refactor code directly from the terminal.
Text-to-Speech (TTS)
Generating natural-sounding audio from text.
Text-to-Speech (TTS)
Text-to-Speech (TTS) is a technology that converts written text into spoken words, allowing digital devices to vocalize content. It is a fundamental component of AI voice agents, screen readers, and navigation systems.
Token
The atomic unit an LLM reads and generates — roughly ¾ of a word in English.
Token Approval
A token approval grants a contract permission to move your tokens — persistent, often unlimited, and the most common source of avoidable losses.
Token Budget
A token budget is a predefined limit on the number of tokens an AI application or specific request can consume within a given period or for a single interaction. It is a critical mechanism for controlling costs and managing resource allocation for Large Language Model (LLM) usage.
Token Budgeting
Token budgeting is the strategic allocation and management of token usage within large language model (LLM) operations to control costs and optimize performance.
Tool Calling
The model-to-system interface that lets an LLM trigger external actions.
Tool Use
An LLM invoking external functions to act beyond text generation.
Top-p (Nucleus Sampling)
Restricting sampling to the smallest set of tokens whose probability sums to p.
Topical Authority
The signal that a site comprehensively covers a topic, earned by depth + interlinking, not just backlinks.
Transcription (ASR)
Converting speech audio into text.
Vector Database
A database optimized for similarity search over embeddings.
Vector Index
A data structure that makes nearest-neighbor search fast.
Vibe Coding
Building software by describing intent in natural language and letting AI generate the code.
Vibe Coding Technical Debt
The hidden cost of accepting AI-generated code without structure, tests or review.
Video Hook
The first 1–3 seconds of a short video, designed to stop the scroll and make the viewer stay.
Video Repurposing
Turning one long video — podcast, webinar, stream — into many short vertical clips for TikTok, Reels and Shorts.
Vision Model
A model that interprets images as first-class input.
Wallet Tracking
Wallet tracking is the practice of monitoring specific addresses and getting notified when they trade, transfer or interact with contracts.
Web3 Wallet
A Web3 wallet stores your keys and signs transactions, letting you hold assets and connect to on-chain applications without an intermediary.
Webhook
An HTTP callback that lets one system push data to another the moment an event happens.
Whale Wallet
A whale wallet holds a position large enough that its trades move price or signal intent — which makes it worth watching and easy to misread.
Workflow Trigger
The event that starts an automated workflow.