60 related articles

A deep dive into the /goal command in Claude Code and Codex — covering positioning, real-world cases, and a three-element Prompt framework (Goal, Termination Condition, Constraint Rules) for stable long-running AI Agent tasks.

How to efficiently learn Python from scratch? This guide covers a three-phase learning path—fundamentals, intermediate, and practical—including environment setup, OOP, web scraping, office automation, and data analysis.

A detailed 7-step guide to building commercial AI Agents, covering requirements, platform selection (Coze/Dify/FastGPT), prompt engineering, databases, UI, testing, and deployment.

A comprehensive guide to AI Agent development covering core concepts, the Perception-Brain-Action architecture, key differences from chatbots, four essential components, and mainstream framework selection.

A systematic three-stage AI Agent development roadmap: from Python basics and LLM fundamentals, through five core capabilities like planning and tool use, to hands-on RAG projects for real-world deployment.

Explore OpenAI Codex's Record & Replay plugin that captures mouse and keyboard actions via MCP server to auto-generate reusable, shareable Skills for zero-code RPA automation.

OpenAI's Frontier Evaluations lead Tejal Patwardhan shares insights on O1's jailbreak breakthrough, wet lab experiments beating human baselines, and building the AGI Index—revealing AI capabilities evolving faster than imagined.

NitroGen wins CVPR Best Paper Honorable Mention for building general-purpose embodied agents across multi-physics worlds. Explore the four-year journey from MineDojo to NitroGen.

Deep dive into AI Agent architecture: perception, brain, and action modules. Covers RAG memory systems, tool calling mechanisms, Chain of Thought reasoning, and enterprise agent development roadmap.

How ordinary investors can access SpaceX, OpenAI and other top private companies through interval fund ARKVX and closed-end fund RV1 — no accredited investor status required.
Industry InsightsWhy does Apple Intelligence keep getting delayed? From Siri's acquisition to AI team infighting, a deep dive into the organizational failures behind Apple's AI struggles.
TutorialsDeep dive into the Three-Layer Pyramid Model for Agent development, covering autonomous agents, collaborative multi-agent systems, and universal orchestration agents with a complete learning path from beginner to industrial-grade deployment.
Product ReviewsIn-depth hands-on review of Nano AI agent with Guizhou travel guide and Pop Mart business analysis tasks. Free MCP tools, zero setup, 10-min reports with detailed pros/cons analysis.
Product ReviewsExplore 9 noteworthy AI tools of 2025 covering workflow automation, multi-agent collaboration, no-code development, and autonomous programming including Active Pieces, Make, Devin AI, and OpenAI Operator.
Tech FrontiersIn-depth analysis of NVIDIA NemoClaw's expansion roadmap, covering OpenClaw open-source collaboration, sim-to-real transfer, dexterous manipulation breakthroughs, and commercialization paths in embodied AI.
Deep DivesA developer open-source replicated OpenAI's $200/month Operator in 48 hours using Anthropic Computer Use, building a full-stack Dockerized computer-controlling AI Agent with deep analysis of architecture and industry trends.
Deep DivesOS AI Computer Use is an open-source AI desktop automation tool supporting Windows, macOS, and Linux with OpenAI and Anthropic API compatibility. Learn about its features, architecture, and safety tips.
Product ReviewsSwitchBot Bot Rechargeable drops to $26.99 for Mother's Day, over 20% off. This button robot smartifies traditional switches without replacing devices — the lowest-cost smart home entry point. Includes purchase links, promo code FORHER20, and use cases.
Tech FrontiersRoomba founder Colin Angle launches Familiar Machines & Magic, a fur-covered dog-sized robot companion. From 50M vacuums to emotional companionship—analyzing his new venture and market outlook.
Expert OpinionsAt Sequoia's AI Ascent 2026, OpenAI co-founder Greg Brockman discusses the compute arms race, Codex coding revolution, his 80% AGI progress estimate, and survival strategies for the AI era.