5 pages
AI & LLM Workflows
Practical guides on using AI agents, local LLMs, and automation to organise your work and life. No machine learning theory, just hands-on workflows I've built and use daily.
Getting started
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AI Agents: What They Are and How to Use Them
Stop treating AI as a chatbot and start treating it as a system: what AI agents are, how they differ from LLMs, and workflows you can set up today.
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Building Your Own AI Agent System
A practical walkthrough of setting up local LLMs, connecting tools, and running agents on a schedule, based on what I actually use rather than theory.
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LLM Productivity Workflows
How I actually use LLMs day to day: email triage, content drafting, research synthesis, and decision support. Real patterns, not theoretical possibilities.
Advanced setup
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Architecting Multi-Agent Systems
When one agent isn't enough. Routing, specialisation, coordination, and the patterns I've used to build systems like Hermes.
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Letting an LLM Write SQL Against Production, Safely
How to let an AI assistant or agent query a live SQL Server database without risking the data: a read-only login it can't escape, limits on what reads cost, and a reviewed, reversible path for changes.