Agent Memory and State Persistence
How Memory Transforms Stateless LLM Calls into Context-Aware Reasoning
Learn how conversation memory enables agents to detect patterns across observations and maintain context for industrial diagnostics.
Track-first tutorials that follow the Technician → Developer → System & Deployment → Architect ladder. New tutorials appear here each week as tracks release, so you can progress in order without missing a step.
Recommended starting points and popular tutorials
Organized by learning track progression
Use AI safely in industrial workflows. Advisory-only, no risky autonomy.
Configure Your AI Workbench in 20 Minutes
Set up your OpenAI API access safely and correctly. Get your API key, configure your environment, and make your first test call in 20 minutes.
The Only Python You Need to Safely Use Agentic AI as a PLC Engineer
Learn the minimal Python needed for industrial AI. Variables, loops, conditions - nothing more. Ready in 45 minutes.
From Deterministic Control to Reasoning Under Uncertainty
Learn the fundamental difference between traditional automation and agentic AI. From execution to reasoning.
From Static PLC Code to Transparent, Step-by-Step Machine Reasoning
Apply ReAct reasoning to PLC code analysis. Learn transparent, auditable AI reasoning for industrial automation.
What Actually Makes Something an Agent in Industrial Automation?
Distinguish rule-based automation from autonomous agents. Goals, state, and reasoning make the difference.
How Memory Transforms Stateless LLM Calls into Context-Aware Reasoning
Learn how conversation memory enables agents to detect patterns across observations and maintain context for industrial diagnostics.
How to Control AI So It Generates Deterministic, Read-Only PLC Code Drafts
Control AI code generation with prompt engineering. Create reviewable, deterministic PLC code drafts safely.
Teaching AI What Good Looks Like Using Curated PLC Examples
Learn how to guide AI toward consistent and reliable PLC code validation by supplying high-quality examples --- without giving it control.
Making AI Show Its Work on IEC 61131-3 ST
Learn how to get AI to explain its reasoning step-by-step when reviewing PLC logic, improving clarity, trust, and debuggability.
Connecting Reasoning to a Single Read-Only Tool
Learn how to safely connect an AI agent to a single, read-only tool to analyze PLC logic without any control authority.
From Free-Text Reasoning to Machine-Readable Results
Learn how to force AI agents to return deterministic, structured outputs when analyzing PLC logic, enabling reliable downstream processing.
An Extensible Advisory Agent with Multiple Read-Only Tools
Build a professional, end-to-end advisory diagnostic agent that analyzes conveyor alarm logs and correlates them with known fault patterns.
Start with the foundation tutorials and progress to advanced multi-agent patterns. All tutorials include working code and honest failure stories.
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