#Agentic Process Automation
263 related articles
·2 min
ChatGPT Codex Helps RingCentral Scale Customer Management by 13x
RingCentral's PMO team used ChatGPT and Codex to scale customer tracking from 6 to 80 accounts — a 13x increase. Learn how enterprise AI is reshaping knowledge management and execution for customer success teams.
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·4 min
WebMCP in Practice: A Complete Guide to Making Your Website AI Agent-Ready
A deep dive into the WebMCP proposal: how AI agents read websites, how to expose structured tools via imperative and declarative APIs, and how to audit agentic readiness with Lighthouse.
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·2 min
Chrome DevTools for Agents: Enabling AI to Autonomously Complete End-to-End Debugging
Google's DevTools for Agents opens Chrome DevTools to AI coding agents, enabling autonomous end-to-end debugging — from reproducing errors to fixing source code — via console logs, network requests, and source maps.
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·3 min
GPT-5.6 Real-World Test: The True Capability Limits of AI-Assisted Game Development
A creator tests GPT-5.6 Codex on two real projects: an Android MAUI app and a tower defense game prototype. Zero code written for the app; the game demo surfaces multiple bugs. Honest look at AI coding's real limits.
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·3 min
Complete Guide to Subscribing to Claude in China Without Getting Banned: Three Approaches Compared
Worried about getting your Claude account banned in China? This guide breaks down Anthropic's ban logic and compares three safe approaches: third-party subscriptions, official API, and relay services.
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·2 min
GPT-5.6 Launches With a Warning: Compute Capacity Is the Real Test for Large Language Models
Altman warned of possible GPT-5.6 service disruptions at launch, highlighting compute capacity as the true bottleneck for LLMs. Here's what it means for users.
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·2 min
Handing Your Life to an AI Agent? The Real Dangers of Over-Authorization
A viral Reddit dark-humor post exposes the real risks of over-authorizing AI agents. When hallucination-prone AI is granted irreversible permissions, the consequences can be catastrophic. We break down key safeguards like least privilege and Human-in-the-loop.
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·3 min
Adversarial Testing of AI Agents in the Terminal via MCP
Learn how to use MCP (Model Context Protocol) to run adversarial tests on AI agents in the terminal, covering prompt injection, privilege escalation, and dangerous command execution scenarios.
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·2 min
Vibe Coding in Practice: A Complete Guide for Non-Developers Building Business Tools with AI
Vibe Coding lets non-developers build real business software with AI. Explore Claude Code, Lovable, Replit, and Cursor — and learn how to build AI Agent workflows for your business.
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·3 min
SJTU Professors Open-Source Agent Tutorial: A Four-Stage Path from Zero to AI Engineer
SJTU professors open-source a 4-stage Agent tutorial on GitHub, covering LLM basics, ReAct, multi-agent systems, and real-world projects — a practical path to AI engineering.
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Smart Proxy: The Key Architecture for …
·3 min
Smart Proxy: The Key Architecture for Running AI Coding Agents Safely and Autonomously
Too much AI permission is risky; too little kills productivity. A smart proxy acts as a controllable middleware layer — intercepting, auditing, and policy-gating AI agent actions in tools like Claude Code and Cursor for safe autonomous operation.
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A Human-Centered AI Future: The Humani…
·2 min
A Human-Centered AI Future: The Humanist Tech Philosophy of Thinking Machines Lab
Thinking Machines Lab's 'The Future Worth Building Is Human' argues AI should augment, not replace, people. Explore the humanist philosophy, community debate, and real-world challenges of human-centered AI.
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Fine-Tuning Cosmos Models in One Day w…
·2 min
Fine-Tuning Cosmos Models in One Day with Agent Skills — Breaking 90% Accuracy
NVIDIA uses Autonomous Coding Agents and Agent Skills with TAO to fine-tune Cosmos visual reasoning models in one day, achieving over 90% accuracy.
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Agentic Loop Explained: The Three-Loop…
·2 min
Agentic Loop Explained: The Three-Loop Architecture of Reasoning, Tool Use, and Orchestration
A deep dive into the Agentic Loop — breaking down the three-layer architecture of reasoning, tool use, and orchestration to help developers build and debug reliable AI agent systems.
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·2 min
Android CLI: Command-Line-Driven Android Development with Doubled AI Efficiency
Android CLI, unveiled at Google I/O Connect, lets developers manage SDKs and query docs without launching Android Studio, while slashing AI Agent token usage.
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·3 min
GPT-Live Hands-On: Voice Finally Gets GPT-5.5 — How Good Is the Full-Duplex Experience?
GPT-Live hands-on: Voice chat now powered by GPT-5.5 Thinking, full-duplex architecture, real-time search, visual cards & tool calling. Full review inside.
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·3 min
From LLMs to Agents: Understanding the Core Logic and Use Cases of AI Agents
LLMs answer questions; Agents actually get things done. This article breaks down the differences between LLMs, Chatbots, and Agents, explains the perceive–think–act architecture, and maps real-world use cases across education, finance, and healthcare.
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·6 min
OpenAI Merges ChatGPT and Codex: The Super App for the AI Agent Era Is Here
OpenAI merges ChatGPT and Codex into a super app and releases three new GPT-5.6 models: Sol, Terra, and Luna. A deep dive into four hands-on workflows—Computer Use, Loops, and multi-threading—for the AI agent era.
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·3 min
GPT-5.6 and ChatGPT Work Launch: AI Evolves from Conversational Assistant to Task Executor
OpenAI launches the GPT-5.6 family (Sol/Terra/Luna), ChatGPT Work, a new desktop app, and Hosted Sites — marking AI's evolution from Q&A assistant to autonomous task executor.
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·5 min
The Definitive Guide to Claude Code: Core Methodology and Best Practices for Agentic Programming
A deep dive into Claude Code, the definitive course from DeepLearning.AI and Anthropic: from agentic principles and context optimization to three hands-on cases—RAG chatbot, Figma-to-frontend, and data analysis. Master AI-assisted coding methodology.
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