31 related articles

Perplexity integrates Deep Research as a native skill in Computer, enabling automatic invocation without manual mode switching. Analyzing the Agent Harness design philosophy and AI capability fusion trends.

Deep-dive testing of Nex N2 Pro open-source Agent model comparing official benchmarks vs independent results. The 397B parameter model shows decent frontend generation but ranks 12th independently, not top 5 as claimed.

Andrew Ng argues that the core gap in AI Agent development isn't model selection — it's systematic evals and error analysis. A breakdown of his methodology.

A systematic guide covering the evolution from traditional AI agents to Deep Agents, including core architectures, four development stages, technical features, and practical developer guidance.

In-depth review of Alibaba's Qoder CN AI coding agent, covering features, expert suites, WeChat/DingTalk connectors, and hands-on programming tests.

NotebookLM gets a major upgrade with Gemini 3.5 and Antigravity technology, adding a secure cloud computing environment with 100+ software skills, evolving from an AI note tool into an intelligent research platform.

Deep dive into OpenAI's financial services strategy covering GPT-5.5 financial analysis capabilities, European inference residency, Trusted Access Program, and AI implementations at NatWest, CBA, and Revolut.

OpenAI demonstrates how ChatGPT transforms financial services workflows — from GPT 5.5 financial optimization and Deep Research investment dossiers to Excel financial modeling and automated decision presentations.

Deep breakdown of anonymous trader Serenity's methodology: drilling from market leaders along supply chains, using four hard conditions to identify physical chokepoints, and building a repeatable pipeline with Claude Code.

Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.

Deep dive into Claude Code's dynamic workflow mechanism covering Agent, Parallel, and Pipeline functions, six orchestration patterns, and ten real-world scenarios with cost control tips.

Learn how to use Claude Code's Ultra Code and Dynamic Workflow to orchestrate 100+ Agents in parallel, with Deep Research demos, token-saving tips, and workflow reuse methods.

A deep dive into ROS2's nature, applications, learning paths, and career prospects. Covers autonomous driving, robotic arms, and mobile robots with salary data and core technical requirements.

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.

Anthropic releases Claude Opus 4.8 with three core upgrades: sharper judgment, more honest self-awareness, and longer independent work duration — all at the same price.
TutorialsA complete methodology for open-source project customization based on real-world experience, detailing the Cursor+Codex dual-IDE workflow, seven-stage process, MVP validation, and AI source code reading techniques.
Product ReviewsDeep dive into OpenAI's GPT Image 2 covering precise Chinese text rendering, enhanced detail quality, and how to identify official vs. wrapper products for efficient AI image generation.
TutorialsLearn how to build a full-pipeline automated money-making system using Multi-Agent architecture, covering Customer Service Agent, Cashier Agent, Delivery Agent setup, workflow orchestration, RAG knowledge bases, and MCP tool calling.
Product ReviewsDeep dive into OpenSwarm, an open-source multi-agent system where 8 specialized agents collaborate to generate complete deliverables—research, charts, slides—from a single prompt.
Product ReviewsHands-on comparison of 9 AI search tools including Tavily, Exa, XCrawl, and Firecrawl across search accuracy, web crawling, SERP aggregation, and special features to help developers choose the right search solution for AI Agents.