#AI agent workflows
2686 related articles
·2 min
Deep Dive into the OpenClaw Multi-Agent Framework: From Dify Workflows to Autonomous AI Execution
An in-depth analysis of the OpenClaw multi-agent framework: its TypeScript single-process gateway design, inter-agent scheduling, advantages over Dify workflows, and the three evolutions of AI execution.
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·4 min
OpenAI Merges Codex and ChatGPT: Deep Dive into Three New Models + Agent Workflows
OpenAI merges Codex and ChatGPT into a unified platform while launching three new models: SOUL, TERRA, and LUNA. Deep dive into Computer Use, loop workflows, multi-threading, and the Agent Native strategy.
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Text-to-CAD: How AI Agents Are Reshapi…
·3 min
Text-to-CAD: How AI Agents Are Reshaping Hardware Design Workflows
Explore how the open-source text-to-cad project wraps CAD modeling as AI agent skills, letting engineers generate 3D models from natural language descriptions.
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·3 min
Agent Loop: A Design Guide for AI Autonomous Reasoning-Action-Verification Workflows
A deep dive into AI Agent Loops: from single loops to multi-agent collaboration. Master goal definition, validation mechanisms, and stop conditions to avoid blindly building agent fleets.
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·2 min
AI Agent Primer: The Core Differences Between Workflows and Intelligent Agents — and How to Build Them
Explore the key differences between AI Agents and workflows, and how LLMs evolve from reasoning to execution. Covers ReAct, task decomposition, enterprise value, and Python+LangChain development.
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·3 min
Skill Pack-Driven AI Agents: An Efficient Alternative to Complex Workflows
Ditch complex workflow nodes. Use Agent Skill packs to dynamically load AI capabilities, build stable intelligent automation, and understand RAG, LLM limits, and Scale Agent plugin setup.
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·6 min
GPT-5.6 Sol Hands-On: How Multi-Agent Parallelism Is Reshaping AI Coding Workflows
Based on Fireship's review, an in-depth look at GPT-5.6 Sol's Ultra Mode multi-agent parallelism, its 91.9% Terminal Bench score, and how it differs from Claude Fable in cost, speed, and precision.
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·5 min
Getting Started with LangGraph: Building AI Agent Workflows with Graph Structures
Master LangGraph core concepts: nodes, edges, and routing functions. Learn StateGraph, MemorySaver, and ToolNode through a weather-query Hello World example, and understand how LangGraph relates to LangChain and powers Agent workflows.
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·6 min
AI Agent Practical Guide: From Chatting to Directing — Building Fully Automated Workflows
AI use has three levels: Chat, Automation, and Agent. Learn how to use tools like Manus AI with a "director mindset" to build fully automated workflows — no technical background required.
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·5 min
The Attention Bottleneck in AI Coding: Hands-On Agent Workflows from the Father of Crayfish
OpenClaw author Peter shares his thinking on AI coding: when compute is no longer the bottleneck, developer attention becomes the new ceiling. Learn three practical skills—Agent Transcript, Auto-Review, and the Crapbox sandbox.
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·2 min
Getting Started with Claude Code: Reshaping Software Testing Workflows with AI Agents
Learn Claude Code from scratch: understand LLMs vs. AI agents, explore a 3-day onboarding path, and discover how testing engineers can use agents to automate test case and script generation.
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·2 min
MediaAgent: Building a Brain for ComfyUI in Rust to Fully Automate Workflows
MediaAgent is a Rust-based AI Agent system that gives ComfyUI a brain via PTCA loops and JSON-LD semantic workflows, enabling fully automated model selection, parameter tuning, and retries.
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·3 min
AI Agent vs. Automation Scripts: Goal-Driven vs. Fixed Workflows
AI Agents aren't advanced scripts. Scripts follow fixed instructions; Agents pursue goals, plan dynamically, call tools, and self-correct. A deep dive using Linux ops examples.
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·2 min
Getting Started with Loop Engineering: Making AI Agents Run Workflows Autonomously
A deep dive into Loop Engineering: core concepts and hands-on setup including Codebase Harness, shared file systems, triggers, and Loop Contracts to make AI agents run autonomously.
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·2 min
n8n from Beginner to Expert: A Complete Guide to Building AI Agent Workflows with Zero Code
Complete guide to n8n's AI capabilities covering AI Agent, Chain nodes, and Tool nodes. Learn to build enterprise-grade AI workflows with zero code, from setup to RAG systems.
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·2 min
Claude Code Dynamic Workflows Explained: How Multi-Agent Collaboration Is Changing AI Programming
Deep dive into Claude Code's Dynamic Workflows: how multi-agent parallel collaboration enables 750K-line code migrations, repo-wide bug hunts, and pre-launch red team validation.
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·2 min
Claude Code Dynamic Workflows Explained: A Hands-On Guide to Sub-Agent Orchestration and Reuse
Learn how Claude Code Dynamic Workflows orchestrate sub-agents for parallel tasks. Compare four collaboration modes, enable workflows, and save them for reuse.
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Industry Insights·3 min
Warp Bets on GPT-5.5: How AI Coding Agents Are Reshaping Open-Source Development Workflows
Warp deeply integrates GPT-5.5 to build cross-environment AI coding agents spanning local terminals, cloud deployment, and open-source collaboration. Explore its architecture, open-source strategy, and differentiation from GitHub Copilot.
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Tutorials·2 min
Multi-Agent Applications in Practice: Building AI Multi-Agent Collaborative Workflows from Scratch
A practical guide to building multi-agent collaboration systems, covering assistant creation, skill assignment, group chat mechanisms, and solutions for hallucination in AI workflows.
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Tutorials·2 min
AI Canvas Agent Is Here: How to Use Node-Based Creative Workflows
A deep dive into AI canvas node-based creative workflows, covering AI image generation, video generation, 4K output, and multi-model orchestration for visual AI content creation.
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