Artificial Intelligence
AI agents, models, tools, safety and automation explained with practical examples.
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AI · INDUSTRIAL AUTOMATION · SOFTWARE
Build smarter with practical AI & automation
Xenors publishes practical, source-backed guides on AI agents, computer vision, industrial safety, PLC automation and software engineering — written from real engineering workflows, not recycled summaries.
400+Guides & tutorials
AI + PLCEngineering-first focus
GlobalBuilt for practical learners
- ✔ Written by a practising AI engineer
- ✔ Reviewed & updated regularly
- ✔ No guaranteed-return claims
- ✔ Free to read
What we cover
Focused learning paths for AI, automation and software
Start with a focused track, then move from fundamentals to implementation, testing and deployment.
Coding & Backend
Python, Flask, APIs, databases, Git and the full Code Lab tutorial path.
Explore Coding →PLC & Automation
Ladder logic, industrial safety and AI camera systems for real factories.
Explore PLC →Industrial Computer Vision
Pedestrian detection, AI safety cameras, multi-camera inference and PLC-linked machine safety.
Explore Computer Vision →AI Engineering
Evaluation, guardrails, agent workflows, deployment and production-ready AI practices.
Explore AI Engineering →Technology
Security, search, passkeys and the trends that shape the web in 2026.
Explore Tech →
Featured guides
Start with practical AI and automation guides
AI Pedestrian Detection for Factory Safety
Multi-camera human detection, ROI logic, PLC integration and event evidence.
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How to Build an AI Agent with ChatGPT
Plan tools, memory, actions, approvals and a reliable agent workflow.
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Forklift Safety Lights: Practical Guide
Blue spots, red zones, visibility and real warehouse safety use cases.
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AI Agent Workflow Automation
Design agentic workflows with deterministic steps, validation and monitoring.
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AI Agent Guardrails & Safety
Permissions, validation, human approval and controls for autonomous workflows.
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PLC Inputs, Outputs & Ladder Logic
A practical foundation for industrial control, interlocks and automation projects.
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Behind Xenors
Built by an engineer, not a content farm
Ashok Kumar Yadav
Founder · AI Engineer
Ashok works on industrial computer vision, multi-camera AI and automation. He started Xenors to explain AI systems, software engineering and industrial automation in plain, practical language.
Our standards
Content you can rely on
Every guide on Xenors follows the same editorial principles so readers know what to expect.
- Practical first. Examples, code and workflows you can try yourself.
- Evidence over hype. Current claims are checked against primary sources and clearly separated from opinion.
- Kept current. Fast-moving AI, software and automation topics are reviewed and updated.
- Transparent authorship. Named author, public profiles and contact details.
FAQ
Frequently asked questions
What is Xenors?
Xenors is an independent engineering-focused learning platform publishing practical guides on AI, industrial computer vision, automation, coding and selected technology topics.
Who writes the content on Xenors?
Xenors was founded by Ashok Kumar Yadav, an AI engineer working on industrial computer vision and automation. Articles follow a review and update process.
What does Xenors specialize in?
Xenors focuses on AI agents, industrial computer vision, multi-camera AI, PLC-linked automation, software engineering and practical implementation workflows.
