// tag
Llm
10 posts tagged "Llm".
AI Agents for Business: A Practical Introduction
How AI agents differ from chatbots and classic automation, where they help small and mid-sized companies, and how to introduce a first agent safely.
Workflow automation with n8n: a getting started guide
Getting started with n8n: cloud or self-hosting, triggers and nodes, a first workflow, error handling and what to settle before you run it in production.
Building custom AI chatbots: from GPT prototype to production
What makes an AI chatbot production-ready: grounding with RAG, guardrails, human hand-off, test sets, monitoring and GDPR for business use.
LLM integration for enterprise: architecture and best practices
How to integrate language models into business software safely: architecture, RAG, structured outputs, data protection, cost control and quality assurance.
AI automation for SMEs: how to find the hours you lose
How small businesses use a simple time audit to find the processes worth automating with AI, and how to measure the time they actually get back.
The AI Agent Tech Stack: Models, Frameworks and Tools
The building blocks a business AI agent needs: language model, framework, tool integrations, memory and monitoring, with notes on GDPR and operations.
Automating customer support with AI: beyond the chatbot
How AI in customer support sorts tickets, drafts replies from your own knowledge and completes simple tasks, and where a human should still decide.
AI Data Extraction: Turning PDFs and Emails into Clean Data
How AI data extraction turns invoices, delivery notes and emails into structured records, where it falls short, and how a small business can start safely.
Building intelligent workflows with n8n and AI APIs
How to combine n8n with OpenAI, Claude or Mistral: common workflow patterns, structured outputs, error handling, cost control and data protection.
The ROI of AI: measuring the impact of automation
How to calculate the ROI of AI and automation: record a baseline, include every cost, measure the benefit and work out an honest payback period.