1493 related articles

Why AI research automation looks more like data cleaning than inventing the Transformer. Exploring the value of automating 60%-80% of repetitive research work and how human-AI collaboration reshapes the research paradigm.

AI research automation will look more like data cleaning than inventing the Transformer. Explore how automating 60%-80% of repetitive research work reshapes the AI research paradigm.

A systematic breakdown of the three mainstream test automation approaches in the AI era: AI-generated code scripts, DOM parsing driven, and LVM visual model driven. In-depth comparison of principles, pros/cons, and use cases.

Ego Lite is a browser built for AI collaboration. Based on Chromium, it uses login state reuse and isolated Spaces so AI Agents can autonomously handle web operations, form filling, and data scraping—solving the human-machine focus conflict. macOS only.

Ego Lite is a Chromium-based browser designed for AI collaboration. Through login state reuse and isolated Spaces, AI Agents autonomously handle web tasks, form filling, and data collection—ending the human-machine focus fight. Currently on macOS.

Learned Claude, n8n, or Coze but unsure how to monetize? This article breaks down the core logic of AI automation monetization: prove business value with data, build case studies, and develop a credible personal brand.

A beginner's guide to Jenkins: its role as the CI/CD and DevOps hub, JDK requirements, and the four plugin categories (source control, build, security scanning, deployment) that power automation pipelines.

Veta is an open source AI testing agent: just describe your test goal in natural language and it autonomously plans, executes, verifies, and reports Android test results — no scripts needed.

Learn how to combine Cursor AI with Appium in a 4-step workflow—environment check, test planning, project generation, and reporting—to build mobile automation fast.

A deep dive into AI testing workflows: API capture, test case generation, Agent orchestration, and automated execution. Learn the two core challenges — incomplete information and mandatory human review.
SendLang: Rethinking Email Automation …
SendLang is a DSL for email automation that uses declarative syntax to separate trigger conditions, content templates, and send timing — tackling logic coupling in traditional email systems.

No coding needed: master Claude Code workflows with folder structure, sub-agents, third-party connectors, and scheduled routines to build your own AI automation OS.

A deep dive into building verifiable, self-evolving Agent automation loops with Claude Code and Codex — covering Loop Contracts, four trigger types, three-phase execution architecture, and Evolve Loops.

A deep dive into OpenAI Codex: browser automation, Goal execution, plugins, Skills ecosystem, and coding power. Master 90% of Codex's features and transform your workflow.

A hands-on review of how OraAgent (AI assistant Aura) automates the entire foreign trade prospecting email workflow: auto-searching customers, prioritizing quality leads, batch-generating personalized emails, and one-click sending to cut acquisition costs.

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.

The Hermes Agent gets a major upgrade with eight new features: native iMessage, parallel background sub-agents, Unreal Engine MCP support, a self-evolving Skill Hub, and more. A hands-on breakdown of the core changes and their real impact on personal AI automation workflows.

BrowserWing is an open-source browser action recorder (1300+ GitHub stars) with 78 built-in scripts for GitHub, Bilibili, Zhihu, and more. Record once, run repeatedly, and let AI Agents reliably execute fixed web workflows.

A comprehensive look at n8n, the open-source workflow automation platform: core features, 500+ node ecosystem, AI Agent and RAG integration, plus a fast learning path.

Learn how to use AI Agents to link the entire research pipeline—from literature management, data analysis, and paper writing to scientific illustration and dissemination—building a reusable research automation workflow with NotebookLM, N8N, and Ollama.