#non-technical AI assessment
69 related articles
·3 min
OpenAI Academy's European Tour: How SMEs Can Break Through with AI
OpenAI Academy visits six European nations with its SME AI Accelerator and multilingual workshops, helping small businesses overcome AI adoption barriers through real-world training and hands-on use.
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·3 min
OpenAI Admin API Explained: How Enterprises Manage ChatGPT at Scale
Deep dive into how OpenAI Admin API and ChatGPT Work help IT admins manage enterprise ChatGPT at scale—covering access control, cost monitoring, usage insights, and smart quota recommendations.
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·4 min
GenAI Job Interview Gone Wrong: Interviewer Googles Gemini for Questions on the Spot — What's Broken in AI Hiring?
A fresh grad interviewing for a GenAI Trainer role faced prime number coding and activation function questions while the interviewer used Gemini to generate questions live — exposing AI hiring chaos.
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·2 min
Harness Engineering: The Core Methodology for Enterprise-Grade AI Coding
From prompt engineering to Harness Engineering: a deep dive into the three-stage evolution of AI coding. Learn how enterprises use engineering frameworks to harness LLMs and ship production-ready code.
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·3 min
Can Manually Vectorized Data Train AI Models? A Must-Read Guide for Practitioners
Can manually vectorized paired data train AI models? This guide explores the value, technical feasibility, and monetization paths for practitioners holding professional domain data.
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·2 min
Codex in Practice: AI-Powered Programming with Natural Language Instructions — No Coding Background Required
Learn how to use Codex for AI-powered programming with natural language prompts — from generating origami assets to building a gesture-interactive portfolio site. No coding required.
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·2 min
AI Bridges the Digital Divide: How ChatGPT Empowers Learning and Entrepreneurship Across All Ages
From retirees to traditional artists and solo entrepreneurs, ChatGPT and Codex are breaking down tech barriers and enabling personalized learning across all ages.
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·3 min
Codex in Action: A Complete Guide to Building a WeChat Mini Program with AI — No Coding Experience Required
A complete walkthrough of building and launching a WeChat Mini Program using OpenAI Codex and ChatGPT — from AI prototyping to ICP filing. MVP delivered in 5 days, no coding required.
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·3 min
Enterprise AI Deployment: The Core Decision Between Ontology and Agent Architecture
A systematic guide to enterprise Ontology: its core value, tools like OntoFlow and FIBO, when to build one, and how to deploy business-domain-level AI Agents.
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·3 min
OpenAI's Finance Chief in Action: How AI Shrinks Their Team to 20% the Size of Peers
OpenAI's finance head Stacy Fagioli reveals how her team uses ChatGPT, Codex, and Excel AI to run finance operations with just 20% of typical headcount — covering IR agents, LBO modeling, and ROI dashboards.
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·3 min
One-Prompt Apps: Demos Are Easy, Shipping Is the Real Test
Is one-prompt app generation really that powerful? We break down three tiers of AI dev tools, expose the gap between demo and production, and compare top domestic platforms including Baidu Miaoda and Ant Lingguan.
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·2 min
Getting Started with Codex: A Practical Guide to OpenAI's AI Coding Assistant
A practical guide to OpenAI Codex: core features, Codex vs. Claude Code comparison, and why the Codex+DeepSeek combo doesn't work. Avoid common pitfalls and boost your coding productivity.
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·2 min
AI-Native Development in Practice: Building an Enterprise Management System in 30 Minutes Without Writing a Single Line of Code
Can a non-coder build an enterprise management system in 30 minutes? We tested XDevelop, an AI-native dev tool, to see how natural language turns into a fully running app.
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·2 min
Getting Started with Claude Code: AI Programming Has Entered Its Fifth Stage
Explore the five stages of AI programming evolution — from handwritten code to Claude Code and Codex enabling autonomous debugging and commits. Understand AI's limits from 0-to-1 vs 1-to-100, and what skills developers need next.
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After Getting Started with AI/ML: Shou…
·3 min
After Getting Started with AI/ML: Should You Pursue an Internship or Continue Studying?
Already trained models and implemented neural nets from scratch — should you apply for internships or keep studying? A practical guide to entry-level AI roles and how to advance.
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·5 min
Can a Mixture of Experts Beat a Single Large Model? A Deep Dive into the Hermes 2.0 Architecture
A hands-on analysis of the Hermes 2.0 hybrid multi-agent system: can multi-model collaboration beat a single top-tier LLM? We break down how the Mixture of Experts (MoE) architecture works, AgentOS features, and model-agnostic design.
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·4 min
Zhipu GLM-5.2 Released: China's First Open-Source Model to Cross the 'Primary Model' Threshold
Zhipu releases GLM-5.2 with 1M token context, matching GPT-5.x and Claude. Zcode 3.0 offers 3M free daily calls with one-click migration from Claude Code and Codex.
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Sqlsure: A Guardrail Tool Adding Deter…
·2 min
Sqlsure: A Guardrail Tool Adding Deterministic Semantic Validation to AI-Generated SQL
AI-generated SQL that's syntactically correct but semantically wrong? Sqlsure is built for Text-to-SQL, using deterministic semantic validation to catch logical errors before SQL runs.
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·4 min
Baidu AI Automation System: Trigger Skill Chains with a Single Sentence, Say Goodbye to Manual Workflows
The Baidu AI Automation System uses departmentalized skill libraries and Agent-style orchestration to let managers trigger multi-skill workflows with one sentence—no tech background needed.
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·6 min
AI Agent Development Learning Path: Four Stages from Zero to Hands-On Projects
A systematic breakdown of the AI agent development learning path, covering four stages: fundamentals, RAG knowledge bases, tool use, multi-agent collaboration, and hands-on projects.
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