#Deep Research
23 related articles
·4 min
Deconstructing the Serenity Methodology: An Investment Research Framework from Market Leaders to Physical Bottlenecks
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.
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·3 min
Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
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.
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·2 min
Claude Code Dynamic Workflows: A Complete Guide to Six Patterns and Ten Scenarios
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.
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Claude Code Ultra Code in Practice: On…
·3 min
Claude Code Ultra Code in Practice: One Person Orchestrating 100+ Agents in Parallel Development
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.
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ROS2 Robot Development Beginner's Guid…
·2 min
ROS2 Robot Development Beginner's Guide: Career Paths & Salary Prospects
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.
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How Ordinary People Can Invest in Spac…
·3 min
How Ordinary People Can Invest in SpaceX and OpenAI with Zero Barriers
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.
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·3 min
Claude Opus 4.8 Released: Comprehensive Upgrades in Judgment, Honesty, and Autonomous Work Capabilities
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.
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Tutorials·4 min
Cursor + Codex Dual-IDE Collaboration: A Practical Methodology for Open-Source Project Customization
A 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.
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Product Reviews·2 min
GPT Image 2 Deep Dive: Chinese Text Rendering, Detail Quality, and Usage Guide
Deep 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.
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Tutorials·3 min
Building an Automated Money-Making System with AI Agents: A Multi-Agent Hands-On Tutorial
Learn 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.
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Product Reviews·3 min
OpenSwarm Hands-On: Open-Source Multi-Agent System Generates Complete Investment Package from a Single Prompt
Deep 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.
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Product Reviews·3 min
9 AI Search Tools Compared: Choosing the Right Search Solution for Your Agent
Hands-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.
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Tutorials·3 min
OpenClaw Advanced Guide: Model Selection, Memory Restructuring & Gateway Auto-Repair
Deep dive into OpenClaw advanced techniques: Claude Opus 4.6 vs GPT-5.2 model selection, topic-based memory splitting with LanceDB vectorization, Codex deep search integration, and systemd + Claude Code Gateway auto-repair.
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Tutorials
Build a Claude Code Agentic OS in 3 St…
·3 min
Build a Claude Code Agentic OS in 3 Steps — Stop Using AI Like a Slot Machine
Learn how to transform Claude Code from a random prompting tool into a systematic Agentic OS through three layers: architecture, Obsidian memory, and an observability dashboard.
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Product Reviews
Deep Comparison of o1, o1 pro, and o3-…
·3 min
Deep Comparison of o1, o1 pro, and o3-mini-high Coding Capabilities: A Deep Research Analysis
Deep Research comparison of OpenAI o1, o1 pro, and o3-mini-high coding capabilities, covering code quality, optimization, error rates, and debugging with benchmarks and real-world cases.
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Tutorials
AI Agent Practical Development: A Comp…
·3 min
AI Agent Practical Development: A Complete Guide from Concept to Building Production-Grade Intelligent Agents
A deep dive into AI Agent core principles and practical development paths, covering perception-decision-execution capabilities, MCP protocol tool integration, and analysis of Manus and AutoGLM.
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Product Reviews
How to Use Claude in China: Stable Acc…
·2 min
How to Use Claude in China: Stable Access Solutions & Full Risk Analysis
Users in China face bans, registration hurdles, and payment limits when using Claude. This guide covers third-party mirror sites, model comparisons, and risks.
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Tutorials·2 min
Gemini 3.0 Pro + Claude Opus 4.5: A Practical Guide to Dual-Model Programming Workflows
Compare Gemini 3.0 Pro and Claude 4.5 Opus in programming tasks, build a dual-model workflow with KiloCode for architecture planning and code execution.
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Product Reviews·2 min
Kimi K2.6 In-Depth Review: Comprehensive Evaluation of Coding, Multi-Agent, and Frontend Development Capabilities
In-depth review of Kimi K2.6 open-source model across frontend development, multi-agent collaboration, and long-horizon tasks, covering four professional modes, 3D/SVG generation, and pricing analysis.
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Product Reviews·3 min
AI Agent Investment Research Showdown: ChatGPT vs. Kimi vs. Manus — Who Delivers Better Financial Analysis?
Testing ChatGPT, Manus, and Kimi on the same investment analysis task reveals how multi-agent architecture, fault tolerance, and parallel workflows define the real capability boundaries of AI Agents in professional finance.
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