AI systems guide
What is RAG?
Retrieval-augmented generation connects a language model to selected business documents so answers can be grounded in source material instead of memory alone.
Public knowledge base
Plain-English explanations of AI systems, automation architecture, self-hosting, RAG, MCP, agents, governance, and SME adoption.
AI systems guide
What is MCP?
Model Context Protocol is a way for AI assistants to connect to tools, data sources, and workflows through a more consistent integration layer.
AI systems guide
Why Self-Hosted AI?
Self-hosted AI can make sense when privacy, control, cost predictability, or integration with local systems matters more than convenience.
AI systems guide
GPT vs Claude vs Gemini
Different frontier models have different strengths. Good systems route tasks by reliability, context length, cost, latency, and tool behaviour.
AI systems guide
AI Agent Architecture
Useful agents need boundaries, tools, memory, review gates, observability, and escalation paths. The hard part is the harness around the model.
AI systems guide
n8n Best Practices
Production n8n workflows need clear triggers, small nodes, audit logs, retry handling, credential hygiene, and human approval for risky actions.
AI systems guide
AI Governance
SME AI governance starts with deciding what the system may do, what it must log, when a person reviews it, and which data it can access.
AI systems guide
AI for SMEs
The best first AI projects for SMEs usually reduce repeated admin, answer document questions, qualify leads, handle bookings, or improve customer replies.
Need a practical version of this for your business?
The knowledge base is written for business owners and operators who need useful AI systems, not abstract terminology.