- AI agent
- An AI agent is a system that takes a goal in natural language and autonomously plans and carries out the steps to reach it, using tools and data.
- MCP (Model Context Protocol)
- The Model Context Protocol (MCP) is an open standard that connects an AI model such as Claude to your internal systems, data and tools in a controlled way.
- RAG (Retrieval-Augmented Generation)
- RAG grounds an AI model's answers in your own documents, retrieving the relevant passages at query time so responses are accurate and sourced.
- GEO (Generative Engine Optimization)
- GEO is the practice of optimising an organisation's content so that AI answer engines such as ChatGPT, Claude, Perplexity and Gemini cite and recommend it.
- Context engineering
- Context engineering is the discipline of designing and maintaining the structured context an AI agent needs to produce reliable, high-quality results.
- Claude Code
- Claude Code is Anthropic's agentic coding tool that helps engineering teams write, review, debug and ship software directly from natural-language instructions.
- Claude Cowork
- Claude Cowork is Anthropic's collaborative workspace that lets business teams produce, analyse and decide with Claude inside their everyday tools.
- Agent Skills
- Agent Skills are reusable capabilities that specialise a Claude agent on a specific business process.
- n8n automation
- n8n automation orchestrates business workflows across your tools, calling an AI model such as Claude for the intelligent steps.
- Large Language Model (LLM)
- A large language model is an AI system trained on vast amounts of text to understand and generate natural language; Claude, GPT and Gemini are examples.
- Sovereign AI
- Sovereign AI keeps models, data and processing under a jurisdiction's control to meet residency, security and regulatory requirements.
- AI Perception Audit™
- An AI Perception Audit measures what AI platforms say about an organisation across scenarios and platforms, producing a score and a prioritised action plan.
