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AI workflow

112 articles · Page 1 of 2
AI Architecture Hub
AI Architecture Hub
Jul 5, 2026 · Artificial Intelligence

How Anthropic Engineers Deploy Claude: A Practical AI Workflow Methodology

Anthropic engineer Felix Rieseberg explains how to move beyond single‑question chat interfaces by selecting appropriate Claude models, connecting diverse data sources, building layered micro‑workflows, and adopting asynchronous, permission‑aware automation to turn AI into a collaborative, production‑ready partner.

AI agentsAI workflowAnthropic
0 likes · 10 min read
How Anthropic Engineers Deploy Claude: A Practical AI Workflow Methodology
Linyb Geek Road
Linyb Geek Road
Jul 4, 2026 · Artificial Intelligence

Iterative Development of Agent Skills: A Hands‑On Guide

This article explains the concept of Agent Skill as a modular, file‑system‑based knowledge asset for AI agents, outlines its three‑layer progressive disclosure architecture, details suitable and unsuitable scenarios, and provides concrete iterative development practices—including decision‑tree design, dual verification, and tool‑supported workflows—to turn expert expertise into reusable, zero‑dependency SOPs.

AI workflowAgent SkillDecision Tree
0 likes · 16 min read
Iterative Development of Agent Skills: A Hands‑On Guide
Sohu Tech Products
Sohu Tech Products
Jul 1, 2026 · Artificial Intelligence

10 Must‑Copy Workflow Tricks from OpenAI’s Codex Whitepaper

The article breaks down the Codex‑maxxing whitepaper into ten concrete workflow tricks—pinned threads, voice input, steering, file‑based memory, tool selection, mobile remote handling, automations, verifiable goals, side‑panel collaboration, and a closed‑loop process—showing how to turn Codex from a one‑off chatbot into a long‑running work system.

AI workflowAutomationOpenAI Codex
0 likes · 15 min read
10 Must‑Copy Workflow Tricks from OpenAI’s Codex Whitepaper
Code Mala Tang
Code Mala Tang
Jun 30, 2026 · Operations

Turning Cross‑Project Prompts into a Structured AI Workflow with OpenSpec

The article analyzes the OpenSpec requirement‑pipeline workflow (v0.3.0), showing how a five‑step process—clarify, split, confirm, execute, wrap‑up—turns vague multi‑project requirements into a disciplined AI‑driven automation pipeline, while highlighting configuration details, suitable team contexts, common pitfalls, and practical improvements.

AI workflowAutomationOpenSpec
0 likes · 15 min read
Turning Cross‑Project Prompts into a Structured AI Workflow with OpenSpec
Shuge Unlimited
Shuge Unlimited
Jun 30, 2026 · Artificial Intelligence

Is gstack’s 118K Stars Earned by Real Engineering or Just Markdown? A Deep Source‑Code Dive

This article dissects the gstack open‑source project—its 117,967 GitHub stars, 170k+ lines of TypeScript, a persistent Chromium daemon, a dual‑engine architecture, six‑layer prompt‑injection defenses, and a sprint‑style workflow—to determine whether its popularity stems from solid engineering or merely a collection of Markdown files.

AI workflowPrompt engineeringbrowser automation
0 likes · 36 min read
Is gstack’s 118K Stars Earned by Real Engineering or Just Markdown? A Deep Source‑Code Dive
DeWu Technology
DeWu Technology
Jun 24, 2026 · Artificial Intelligence

From Forms to AI Agents: Redesigning Community Event Workflows with LLM‑Powered Agents

The article chronicles how a marketing activity that required ten system switches and over forty manual fields was transformed by replacing simple AI‑assisted form filling with a two‑stage Agent architecture and an aggregated workbench, detailing the architectural choices, trade‑offs, and practical lessons learned.

AI workflowAgentAutomation
0 likes · 20 min read
From Forms to AI Agents: Redesigning Community Event Workflows with LLM‑Powered Agents
Shuge Unlimited
Shuge Unlimited
Jun 22, 2026 · Artificial Intelligence

Superpowers 6.0: Not a Speed Tweak—158 Commits Turn the Reviewer into a Read‑Only Adjudicator

Superpowers 6.0 claims roughly double speed and up to 50% fewer tokens, but the real change is a structural rewrite of the reviewer role—merging two reviewers, making it read‑only, distrustful of implementer reports, switching to file‑based context, adding a progress ledger and explicit model selection—resulting in cheaper, stricter, harder‑to‑game reviews.

AI workflowSuperpowerscontext optimization
0 likes · 20 min read
Superpowers 6.0: Not a Speed Tweak—158 Commits Turn the Reviewer into a Read‑Only Adjudicator
James' Growth Diary
James' Growth Diary
Jun 21, 2026 · Artificial Intelligence

Why AI Needs a Structured Phase Workflow: From One‑Shot Prompts to the 5‑Stage Spec‑Kit Model

Dumping an entire task into an AI leads to misaligned requirements, hidden assumptions, and costly rework, while breaking the workflow into clear, gated phases—Discover, Define, Design, Develop, and Deliver—reduces error accumulation, enables independent verification, and keeps the AI on track.

AI workflowSpec-Kitphase-based development
0 likes · 17 min read
Why AI Needs a Structured Phase Workflow: From One‑Shot Prompts to the 5‑Stage Spec‑Kit Model
James' Growth Diary
James' Growth Diary
Jun 21, 2026 · Artificial Intelligence

Why YC CEO Garry Tan Claims 810× Productivity with GStack

The article dissects GStack, a prompt‑driven Claude Code workflow that structures AI assistance into virtual team roles, offers dozens of slash commands, and delivers claimed productivity gains of up to 810×, while detailing its technical design, safety layers, and tool compatibility.

AI workflowPrompt engineeringSoftware engineering
0 likes · 12 min read
Why YC CEO Garry Tan Claims 810× Productivity with GStack
Geek Labs
Geek Labs
Jun 21, 2026 · Industry Insights

5 Ground‑Up Developer Tools That Redefine Performance

This article reviews five innovative GitHub projects—a Rust‑based React framework, an AI‑agent pipeline tool, a lightweight Go database client, a highly configurable full‑stack scaffolder, and a Rust‑rewritten Vue toolchain—detailing their architectures, benchmark results, and unique features.

AI workflowFullstack scaffoldingReAct
0 likes · 7 min read
5 Ground‑Up Developer Tools That Redefine Performance
James' Growth Diary
James' Growth Diary
Jun 20, 2026 · Artificial Intelligence

Task Atomization: Isolating AI Tasks into Independent, Clean-Context Units

The article explains how LLM context windows are a scarce resource plagued by breadth‑vs‑depth, long‑task attention decay, and serial‑parallel trade‑offs, and proposes task atomization—splitting work into independently loadable, executable, and verifiable units with isolated contexts and parallel sub‑agents—to achieve clean context, local rollback, and scalable performance.

AI workflowLLM contextSoftware engineering
0 likes · 16 min read
Task Atomization: Isolating AI Tasks into Independent, Clean-Context Units
DataFunTalk
DataFunTalk
Jun 15, 2026 · Artificial Intelligence

Prompt Engineering Is Dead—Enter Loop Engineering: Is AI Coding Making Work Easier or Harder?

The article examines Loop Engineering, a new AI‑driven workflow that replaces manual prompt writing with self‑sustaining loops, explains its six essential components, discusses costs, boundaries, and suitable use cases, and argues that the real benefit lies in shifting human effort from repetitive tasks to higher‑level supervision.

AI agentsAI workflowAutomation
0 likes · 10 min read
Prompt Engineering Is Dead—Enter Loop Engineering: Is AI Coding Making Work Easier or Harder?
Smart Workplace Lab
Smart Workplace Lab
Jun 12, 2026 · Artificial Intelligence

Why More Agents Slow You Down and How a 3‑Step Orchestration Cleanup Protocol Restores Performance

When a surge of agents caused a looping approval flow and maxed‑out CPU, the author demonstrates a three‑step dependency‑graph pruning protocol that cuts cycles, removes redundant nodes, and reduces maintenance time from six hours to fifteen minutes while saving up to 40% of token budget.

AI workflowMermaid diagramsMulti-Agent Systems
0 likes · 7 min read
Why More Agents Slow You Down and How a 3‑Step Orchestration Cleanup Protocol Restores Performance
PMTalk Product Manager Community
PMTalk Product Manager Community
Jun 11, 2026 · Product Management

Three High‑Paying Skills Every AI Product Manager Needs

In the AI boom, product managers who can coordinate front‑end, back‑end, algorithm, data cleaning and compute resources and master reverse‑engineering, rapid execution, and patient problem‑solving command six‑figure salaries, as illustrated by refund‑strategy redesign, custom AI客服 deployment, and complex 3D point‑cloud labeling pipelines.

AI product managementAI workflowLLM
0 likes · 10 min read
Three High‑Paying Skills Every AI Product Manager Needs
AI Architecture Hub
AI Architecture Hub
Jun 9, 2026 · Artificial Intelligence

30 Ready‑to‑Use System Prompts to Turn Claude into an Expert in Any Domain

The article presents a method for distinguishing users who receive mediocre AI output from those who consistently get expert‑level answers by sharing 30 ready‑to‑copy system prompts that transform Claude into a specialized assistant across content creation, research, marketing, coding, and more, without paid courses or years of experience.

AI workflowClaudePrompt engineering
0 likes · 20 min read
30 Ready‑to‑Use System Prompts to Turn Claude into an Expert in Any Domain
Tech Architecture Stories
Tech Architecture Stories
Jun 8, 2026 · Artificial Intelligence

From Prompt Frenzy to Agent‑Driven AI Workflow: A 200k‑Line Real‑World Project Case Study

The article details a practical AI‑driven development workflow built on OpenSpec and SuperPowers for a 200,000‑line Flutter‑Node music app, explaining how dual documentation (AGENTS.md and START_HERE.md), sub‑agent review loops, and a single‑command execution model enforce strict engineering constraints, reduce hallucinations, and automate code delivery.

AI workflowAgentFlutter
0 likes · 12 min read
From Prompt Frenzy to Agent‑Driven AI Workflow: A 200k‑Line Real‑World Project Case Study
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jun 7, 2026 · Artificial Intelligence

22 Agentic Engineering Hacks to Turbocharge Your AI Projects

This guide walks through 22 practical Agentic Engineering techniques—from planning with /ce-plan and voice‑to‑LLM input to multi‑agent loops, remote session control, and turning everyday tasks into reusable skills—showing how to feed context, automate workflows, and avoid common pitfalls.

AI workflowAgentic EngineeringAutomation
0 likes · 15 min read
22 Agentic Engineering Hacks to Turbocharge Your AI Projects
SpringMeng
SpringMeng
Jun 5, 2026 · Artificial Intelligence

Complete 2026 Guide to Codex Best Practices

This comprehensive 2026 guide details Codex best‑practice strategies, covering AGENTS.md configuration, phased workflows, sub‑agent orchestration, memory management, security considerations, common pitfalls, installation steps, and real‑world usage scenarios to help developers maximize AI‑assisted coding efficiency.

AGENTS.mdAI workflowCodex
0 likes · 22 min read
Complete 2026 Guide to Codex Best Practices
Smart Workplace Lab
Smart Workplace Lab
Jun 4, 2026 · Artificial Intelligence

Three Steps to Safeguard Your Team’s AI Workflow from Competitor Copying

The article explains how a team’s AI workflow—combining customer segmentation, prompts, and automated routing—was duplicated by a competitor, and presents a three‑step anti‑piracy protocol that uses dynamic obfuscation, digital watermarking, and hierarchical permission controls to protect AI assets while preserving internal efficiency.

AI workflowasset protectiondigital watermarking
0 likes · 7 min read
Three Steps to Safeguard Your Team’s AI Workflow from Competitor Copying
Code Mala Tang
Code Mala Tang
Jun 3, 2026 · Artificial Intelligence

How Claude Projects and Skills Let AI Remember Your Work Style

The article explains how repeatedly rewriting prompts wastes time, then shows step‑by‑step how Claude Projects store shared context and Skills encapsulate reusable workflows, providing concrete examples and five ready‑made Skills that cut routine tasks from minutes to seconds and turn Claude into a personalized, memory‑enabled assistant.

AI workflowClaudeProjects
0 likes · 11 min read
How Claude Projects and Skills Let AI Remember Your Work Style
AI Explorer
AI Explorer
Jun 3, 2026 · Industry Insights

How OpenAI’s Codex Is Turning Into an AI Workbench for Every Role

OpenAI’s June 2026 Codex update expands the model from a developer‑centric code assistant to a role‑agnostic AI workbench, adding six specialized plugins, a Sites preview feature, document annotations, and integrations with dozens of apps, while highlighting new governance challenges around permissions.

AI GovernanceAI workflowOpenAI Codex
0 likes · 7 min read
How OpenAI’s Codex Is Turning Into an AI Workbench for Every Role
Zhuanzhuan Tech
Zhuanzhuan Tech
Jun 2, 2026 · Industry Insights

Building a Self‑Evolving End‑to‑End AI Workflow: XianKeHui’s AI‑Native Journey

The article details how XianKeHui transformed a three‑month membership‑upgrade project into a three‑week delivery by replacing manual hand‑offs with AI Agents, consolidating six roles into three, automating document creation, and continuously enriching an organizational knowledge base that makes each subsequent demand faster and smarter.

AI agentsAI workflowKnowledge Base
0 likes · 26 min read
Building a Self‑Evolving End‑to‑End AI Workflow: XianKeHui’s AI‑Native Journey
Yunqi AI+
Yunqi AI+
May 30, 2026 · Product Management

From Business Pain Points to AI Skills: How Product Managers Can Clearly Break Down Tasks

The article explains how AI product managers should first dissect business pain points into clearly defined, high‑frequency tasks, evaluate their suitability as AI Skills, and use the TCRT framework to design, scope, and validate these Skills before building reliable, feedback‑driven AI solutions.

AI product managementAI workflowCustomer service AI
0 likes · 20 min read
From Business Pain Points to AI Skills: How Product Managers Can Clearly Break Down Tasks
ShiZhen AI
ShiZhen AI
May 29, 2026 · Industry Insights

Why Not? Six Claude Projects Show How AI Lowers Prototype Barriers

Claude’s recent showcase of six user‑generated projects—from a digital flower‑press to a sunset‑predictor—illustrates how the “why not?” mindset and AI‑driven prototyping have collapsed the cost of turning fleeting ideas into interactive demos, while also exposing new workflow challenges such as model limits and stability.

AI prototypingAI workflowClaude
0 likes · 8 min read
Why Not? Six Claude Projects Show How AI Lowers Prototype Barriers
Architect
Architect
May 28, 2026 · R&D Management

Turning AI Prompts into Process Assets: 25 Skills Every Team Should Adopt

The article examines a curated list of 25 AI‑driven Skills, showing how they can be transformed from simple prompt templates into repeatable, governed workflow assets that boost team productivity, preserve institutional knowledge, and enable scalable process automation across learning, documentation, and decision‑making tasks.

AI workflowAgent RuntimeGovernance
0 likes · 32 min read
Turning AI Prompts into Process Assets: 25 Skills Every Team Should Adopt
ArcThink
ArcThink
May 27, 2026 · Artificial Intelligence

Stop Letting the Main Thread Do Dirty Work: Practical Subagents Workflow Guide

This guide explains how to isolate noisy, read‑heavy tasks into Subagents, when to employ them, how to craft effective delegation prompts, and how to integrate Subagents with Skills and rule files to keep the main AI thread focused on goals, decisions, and final artifacts.

AI workflowContext IsolationPrompt engineering
0 likes · 19 min read
Stop Letting the Main Thread Do Dirty Work: Practical Subagents Workflow Guide
Java Tech Enthusiast
Java Tech Enthusiast
May 26, 2026 · Artificial Intelligence

Why Interviewers Should Ask About Harness Engineering – Distinguishing It from Prompt and Context Engineering

The article explains how AI is evolving from simple chat interactions to production‑grade workflows by progressing through Prompt Engineering, Context Engineering, and finally Harness Engineering, detailing their distinct goals, practical examples, step‑by‑step processes, and why Harness is essential for building controllable, auditable AI systems.

AI workflowHarness EngineeringLLM engineering
0 likes · 21 min read
Why Interviewers Should Ask About Harness Engineering – Distinguishing It from Prompt and Context Engineering
ArcThink
ArcThink
May 26, 2026 · Artificial Intelligence

Stop Manually Prompting AI: A Codex Automations Workflow Guide

The article explains how to replace repetitive manual prompts with OpenAI Codex Automations by defining stable, rhythmic workflows, using a four‑layer model of Rules, Skills, Hooks, and Automations, and provides concrete criteria, task types, durable‑prompt guidelines, safety practices, and starter templates.

AI workflowAutomation typesCodex Automations
0 likes · 19 min read
Stop Manually Prompting AI: A Codex Automations Workflow Guide
Linyb Geek Road
Linyb Geek Road
May 23, 2026 · Artificial Intelligence

Why Most Claude Code Skills Fail and How to Rebuild Them Using the Official Specification

The article explains that many Claude Code skills are never invoked because their description fields are missing or too long, then walks through the official directory layout, three‑layer loading, description budgeting, fork vs. inline execution, frontmatter groups, and shell pre‑processing, providing concrete examples and best‑practice guidelines.

AI workflowClaude CodeContext
0 likes · 15 min read
Why Most Claude Code Skills Fail and How to Rebuild Them Using the Official Specification
ZhiKe AI
ZhiKe AI
May 19, 2026 · R&D Management

Why One‑Shot AI Prompts Fail and How 19 Iron Rules Build a Factory‑Style Workflow

The article explains that single‑turn AI chats cannot handle complex tasks, and introduces Harness—a six‑agent AI workflow that organizes AI roles, enforces 19 strict rules, and uses a five‑step setup to turn ad‑hoc prompts into a disciplined, self‑evolving production line for content and software development.

AI agentsAI workflowPrompt engineering
0 likes · 14 min read
Why One‑Shot AI Prompts Fail and How 19 Iron Rules Build a Factory‑Style Workflow
Architect
Architect
May 18, 2026 · Artificial Intelligence

18 Essential Actions to Build a Personal Claude AI Workbench

The article explains that effective use of Claude depends on establishing a stable personal work environment rather than merely crafting prompts, and it details 18 concrete actions organized into six layers—projects, personal instructions, fact sources, workflow cards, review loops, and boundaries—to create a reusable AI workbench.

AI workflowAgent HarnessClaude
0 likes · 31 min read
18 Essential Actions to Build a Personal Claude AI Workbench
Linyb Geek Road
Linyb Geek Road
May 17, 2026 · Artificial Intelligence

OpenSpec Customization Guide: Tailoring AI Development Workflows to Your Team

This article walks you through OpenSpec's three-tier customization—project config, custom schemas, and global overrides—showing how to quickly adapt AI‑driven development workflows to your team's stack, processes, and standards with concrete commands, YAML examples, and validation tips.

AI workflowCLIOpenSpec
0 likes · 14 min read
OpenSpec Customization Guide: Tailoring AI Development Workflows to Your Team
AI Engineering
AI Engineering
May 14, 2026 · Artificial Intelligence

How One Person, Claude, and Cloud Services Can Replace an Entire Engineering Team

This guide walks you through two free demos that show how a single developer can use Claude on Google Cloud to build fully automated AI agents, followed by a detailed 7‑day plan that transforms Claude from a chat tool into an AI employee capable of handling content creation, operations, code review, and more, all without requiring a computer science degree.

AI AutomationAI workflowClaude
0 likes · 12 min read
How One Person, Claude, and Cloud Services Can Replace an Entire Engineering Team
Frontend AI Walk
Frontend AI Walk
May 11, 2026 · Artificial Intelligence

From Personal Prompts to a Team Production Line: A 0‑to‑1 Guide for Skill Engineering

This article presents a step‑by‑step method for turning scattered personal prompt knowledge into versioned, testable, and shareable AI workflow assets, covering directory conventions, description design, test case creation, Bad Case feedback loops, Git management, team sharing mechanisms, and a 30‑day rollout plan.

AI workflowGitPrompt engineering
0 likes · 22 min read
From Personal Prompts to a Team Production Line: A 0‑to‑1 Guide for Skill Engineering
Smart Workplace Lab
Smart Workplace Lab
May 2, 2026 · Industry Insights

Prompt Engineer Layoffs: How to Re‑Engineer Your Career Path

As large language models mature, prompt‑writing roles are disappearing, prompting engineers to shift from crafting prompts to designing end‑to‑end AI workflows; this article outlines a three‑step system‑reconstruction protocol, common pitfalls, and practical guidelines for transitioning into workflow architecture.

AI workflowAutomationLLM
0 likes · 6 min read
Prompt Engineer Layoffs: How to Re‑Engineer Your Career Path
SuanNi
SuanNi
May 1, 2026 · Artificial Intelligence

Agent Skill Future Outlook: Trends, Challenges, and Opportunities

This analysis explores the seven openness challenges of Agent Skills, the evolution of capability and trust models, combination security, lifecycle management, autonomous skill generation, multi‑modal extensions, ecosystem growth, commercialization pathways, long‑term human‑AI collaboration, and security risks, concluding with actionable recommendations for developers, enterprises, and ecosystem builders.

AI agentsAI futureAI security
0 likes · 9 min read
Agent Skill Future Outlook: Trends, Challenges, and Opportunities
AI Explorer
AI Explorer
Apr 26, 2026 · Artificial Intelligence

A Lightweight Python Multi‑Agent Framework That Gained 25K+ Stars in 24 Hours

OpenAI’s newly open‑sourced openai‑agents‑python SDK is a lightweight, powerful Python framework for building multi‑agent AI workflows, quickly earning over 25,000 GitHub stars, supporting 100+ LLM providers, and offering sandbox agents, built‑in tracing, and human‑AI collaboration features.

AI workflowLLMOpenAI
0 likes · 7 min read
A Lightweight Python Multi‑Agent Framework That Gained 25K+ Stars in 24 Hours
AI Explorer
AI Explorer
Apr 23, 2026 · Artificial Intelligence

Why OpenAI’s Lightweight Multi‑Agent Python Framework Is Going Viral

The open‑source OpenAI Agents SDK provides a lightweight Python framework that enables multiple AI agents to collaborate like a team, offering features such as automatic handoff, sandboxed execution, safety guardrails, human‑in‑the‑loop control, full‑traceability, and support for over 100 LLM models, all with just a single pip install.

AI workflowLLMOpenAI Agents
0 likes · 5 min read
Why OpenAI’s Lightweight Multi‑Agent Python Framework Is Going Viral
PaperAgent
PaperAgent
Apr 22, 2026 · Artificial Intelligence

How SkillClaw Enables Collective Evolution of Agent Skills in Real-World Use

SkillClaw introduces a centralized evolution framework that transforms user interactions into structured evidence, allowing LLM agents to refine, create, or skip skills based on aggregated success and failure patterns, with nightly validation ensuring only proven improvements are deployed, resulting in consistent performance gains across diverse tasks.

AI workflowLLM AgentsSkill Evolution
0 likes · 13 min read
How SkillClaw Enables Collective Evolution of Agent Skills in Real-World Use
Frontend AI Walk
Frontend AI Walk
Apr 21, 2026 · Artificial Intelligence

How to Distill Any Expert into an AI Skill: Elon Musk SOP Guide

This article walks you through a complete knowledge‑distillation workflow that turns Elon Musk’s decision‑making logic into a reusable AI skill, covering source collection, Obsidian setup, a six‑step prompting chain, adding personal commentary, and packaging the result for manual or automated AI use.

AI workflowClaudeElon Musk
0 likes · 21 min read
How to Distill Any Expert into an AI Skill: Elon Musk SOP Guide
AI Era Action Guide
AI Era Action Guide
Apr 21, 2026 · Industry Insights

How to Use IBM Processing Mining to Uncover Complex Multi‑Agent Collaboration Workflows

The article explains how multi‑agent AI systems create hidden bottlenecks and abnormal paths in customer‑service workflows, demonstrates how IBM Processing Mining automatically discovers end‑to‑end processes, quantifies performance, identifies variants and root causes, and provides concrete optimization steps that deliver measurable business value.

AI workflowIBMMulti-Agent Systems
0 likes · 21 min read
How to Use IBM Processing Mining to Uncover Complex Multi‑Agent Collaboration Workflows
ArcThink
ArcThink
Apr 19, 2026 · Artificial Intelligence

From Repetitive Prompts to One‑Click Execution: A Complete Guide to Writing Claude Skills

Learn how to turn daily repetitive Claude Code prompts into reusable Skills by identifying repeatable workflows, extracting five key Skill traits, applying a four‑step creation process, and iterating through observation, refinement, structuring, validation, and continuous improvement, illustrated with a real code‑review case study.

AI workflowAutomationClaude
0 likes · 19 min read
From Repetitive Prompts to One‑Click Execution: A Complete Guide to Writing Claude Skills
AI Explorer
AI Explorer
Apr 16, 2026 · Artificial Intelligence

Is a Lightweight Multi‑Agent Workflow Framework the Next Paradigm for AI Application Development?

OpenAI’s newly open‑sourced Agents SDK for Python offers a lightweight, vendor‑neutral framework that lets developers define, orchestrate, and monitor multiple AI agents—each acting as a specialized tool or sandboxed worker—enabling rapid construction of complex, production‑grade AI collaboration workflows.

AI workflowAgents SDKPython
0 likes · 7 min read
Is a Lightweight Multi‑Agent Workflow Framework the Next Paradigm for AI Application Development?
AI Code to Success
AI Code to Success
Apr 16, 2026 · Artificial Intelligence

Master Claude Code’s 1M‑Token Context: Proven Strategies to Manage, Compact, and Rewind

Claude Code now supports a 1 million‑token context window, but effective use hinges on disciplined context management—choosing when to continue, rewind, clear, compact, or delegate to sub‑agents, and applying three core concepts of context windows, compaction, and context rot to avoid performance pitfalls.

AI workflowClaudeContext Management
0 likes · 10 min read
Master Claude Code’s 1M‑Token Context: Proven Strategies to Manage, Compact, and Rewind
AI Architecture Hub
AI Architecture Hub
Apr 15, 2026 · Operations

Boost Your Development Workflow with Claude Code: 10 Must‑Know Custom Commands

This article explains how Claude Code custom commands eliminate repetitive prompt typing and prompt drift by storing reusable markdown prompts in a version‑controlled .claude/commands directory, then demonstrates ten practical commands—ranging from environment checks to automated PR generation—applied to a real FastAPI ML inference service.

AI workflowClaude CodeCustom Commands
0 likes · 31 min read
Boost Your Development Workflow with Claude Code: 10 Must‑Know Custom Commands
DevOps Coach
DevOps Coach
Apr 13, 2026 · Industry Insights

How AI Workflow Automation and Agentic Systems Can Future‑Proof Your Career

This article examines the rapid rise of AI skills across industries, explains how workflow automation tools like Zapier and n8n, as well as emerging agentic systems, can transform routine tasks, enhance productivity, and become essential competencies for staying competitive in the 2026 job market.

AI safetyAI workflowAgentic Systems
0 likes · 10 min read
How AI Workflow Automation and Agentic Systems Can Future‑Proof Your Career
Smart Workplace Lab
Smart Workplace Lab
Apr 11, 2026 · Artificial Intelligence

How to Build a Human‑In‑The‑Loop Supervision SOP for AI Agent Workflows

The article outlines a practical SOP that transforms AI agents from passive responders to autonomous executors by introducing task decomposition, exception handling, and human‑in‑the‑loop audit checkpoints, enabling organizations to supervise multi‑model collaborations while avoiding chaos and ensuring alignment with business goals.

AI workflowTask Decompositionagent orchestration
0 likes · 6 min read
How to Build a Human‑In‑The‑Loop Supervision SOP for AI Agent Workflows
Architect's Journey
Architect's Journey
Apr 8, 2026 · Artificial Intelligence

From Colleague Skill to Platform Skill: How AI Can Turn Apps into Personal Agents

The article envisions AI‑driven “skill” agents that encapsulate the expertise of colleagues and the core capabilities of platforms, illustrating how everyday tasks like ordering food, booking rides, shopping, travel, job hunting, housing, and investing could be handled through proactive, personalized, continuously running skill services instead of isolated apps.

AI agentsAI workflowSkill Architecture
0 likes · 16 min read
From Colleague Skill to Platform Skill: How AI Can Turn Apps into Personal Agents
AgentGuide
AgentGuide
Apr 2, 2026 · Artificial Intelligence

Understanding ReAct: The Reason‑Act Loop Behind LLM Agents

The article explains ReAct—a Reason‑Act framework for large language model agents that observes, reasons, takes actions via tools, receives feedback, and iterates—highlighting its distinction from plain QA, its step‑by‑step workflow, practical importance, and a weather‑query example.

AI workflowLLM AgentsReAct
0 likes · 5 min read
Understanding ReAct: The Reason‑Act Loop Behind LLM Agents
AI Step-by-Step
AI Step-by-Step
Mar 31, 2026 · Artificial Intelligence

Designing Effective Human-in-the-Loop AI Workflows: When to Automate and When to Involve Humans

The article explains how to avoid the extremes of fully automated AI or no AI at all by defining clear Human-in-the-Loop patterns, identifying irreversible, high‑responsibility, and high‑exception steps, and applying tailored approval, edit, and escalation nodes in finance, contract, and other critical business processes.

AI assistanceAI workflowRisk Management
0 likes · 9 min read
Designing Effective Human-in-the-Loop AI Workflows: When to Automate and When to Involve Humans
Smart Workplace Lab
Smart Workplace Lab
Mar 31, 2026 · Artificial Intelligence

How to Prevent Hidden AI Workflow Crashes: 3 Critical Failure Points & Fixes

In 2026, a major company's automated campaign failed due to hidden AI workflow failures, and our lab identified three invisible crash points—context overflow, permission loop deadlock, and data pollution—explaining their symptoms, root causes, and practical remediation techniques to build robust, long‑running AI systems.

AI workflowRobustnessStability
0 likes · 5 min read
How to Prevent Hidden AI Workflow Crashes: 3 Critical Failure Points & Fixes
Senior Tony
Senior Tony
Mar 31, 2026 · Artificial Intelligence

Build and Debug LangGraph Workflows with Alibaba Qwen in Minutes

This article walks through creating a LangGraph workflow in Python, first using OpenAI’s GPT‑5‑nano model, then swapping to Alibaba’s Qwen 3.5‑plus model, showing how to suppress warnings, filter out thinking responses, visualize the graph, and troubleshoot common errors, all without any prior AI coding experience.

AI workflowAlibaba QwenLLM
0 likes · 8 min read
Build and Debug LangGraph Workflows with Alibaba Qwen in Minutes
AndroidPub
AndroidPub
Mar 30, 2026 · Artificial Intelligence

How Superpowers Transforms AI‑Assisted Development: A Step‑by‑Step Guide

Superpowers introduces a structured, Git‑worktree‑based AI development workflow that tackles plan deviation by combining brainstorming, automated planning, sub‑agent execution, mandatory TDD, and continuous back‑check, offering a practical alternative to simple plan modes and heavyweight frameworks.

AI workflowGit worktreeSuperpowers
0 likes · 13 min read
How Superpowers Transforms AI‑Assisted Development: A Step‑by‑Step Guide
Wuming AI
Wuming AI
Mar 29, 2026 · Industry Insights

Turning Docs into AI‑Callable Skills: A Practical Shift to AI‑First Workflows

The article argues that merely sharing AI prompts and tool lists is insufficient; instead, documentation and tools must be transformed into AI‑friendly, callable skills, illustrating the shift with concrete OpenClaw and CoPaw examples that enable self‑healing, redundancy, and truly automated workflows.

AI workflowAutomationKnowledge Management
0 likes · 8 min read
Turning Docs into AI‑Callable Skills: A Practical Shift to AI‑First Workflows
o-ai.tech
o-ai.tech
Mar 26, 2026 · Artificial Intelligence

Why Superpowers Forces Brainstorming Before Any Code Is Written

The article explains that the brainstorming skill in Superpowers acts as a gatekeeper, preventing agents from jumping into implementation before the problem is fully defined, by enforcing a structured design process that yields a reviewed spec ready for planning and execution.

AI workflowBrainstormingSuperpowers
0 likes · 11 min read
Why Superpowers Forces Brainstorming Before Any Code Is Written
AI Waka
AI Waka
Mar 26, 2026 · Artificial Intelligence

When to Use MCP vs. Skills with Claude: A Practical Decision Framework

This article analyzes the trade‑offs between Model Context Protocol (MCP) and Skills for Claude‑based AI workflows, offering a three‑question test, real‑world examples, and architectural diagrams to help engineers choose the most efficient approach for their tasks.

AI workflowAutomationClaude
0 likes · 10 min read
When to Use MCP vs. Skills with Claude: A Practical Decision Framework
AI Code to Success
AI Code to Success
Mar 25, 2026 · R&D Management

How to Build a Structured Memory System for Claude Code and Eliminate Re‑Explanation

This guide explains why Claude Code often forgets previous context, demonstrates the shortcomings of a flat CLAUDE.md file, and provides a step‑by‑step method to reorganize project knowledge into a .claude directory with rules, memory, skills, and templates, enabling seamless cross‑project reuse and faster AI‑assisted development.

AI workflowClaude Codebest practices
0 likes · 13 min read
How to Build a Structured Memory System for Claude Code and Eliminate Re‑Explanation
AgentGuide
AgentGuide
Mar 22, 2026 · Artificial Intelligence

How to Design Prompt Engineering in Your Project: A Complete Workflow

The article outlines a systematic Prompt Engineering process that starts with defining task goals and metrics, structures prompts into modular components, uses offline evaluation and bad‑case analysis, incorporates RAG or tools when needed, and continuously monitors accuracy, hallucination, latency and cost.

AI workflowEvaluationFew-shot
0 likes · 7 min read
How to Design Prompt Engineering in Your Project: A Complete Workflow
AI Explorer
AI Explorer
Mar 22, 2026 · Artificial Intelligence

Is gstack ‘God Mode’ or Just a Bunch of Prompts? Inside YC CEO’s 35K‑Star Claude Code Pack

YC CEO Garry Tan open‑sourced gstack, a Claude Code skill pack that turns an AI coding assistant into a virtual engineering team with defined roles, a linear workflow, and a one‑command install, sparking debate over its productivity claims, technical merits, and the broader shift toward AI‑driven workflow design.

AI programmingAI workflowClaude Code
0 likes · 10 min read
Is gstack ‘God Mode’ or Just a Bunch of Prompts? Inside YC CEO’s 35K‑Star Claude Code Pack
Black & White Path
Black & White Path
Mar 21, 2026 · Information Security

GhostClaw/GhostLoader Malware Deep Dive: GitHub Repo and AI Workflow Attacks on macOS

The report details how the GhostClaw/GhostLoader campaign leverages trusted GitHub repositories and AI‑assisted development workflows to deliver a multi‑stage macOS payload that steals credentials, contacts a single C2 domain, and establishes persistence, while providing blue‑team detection and mitigation guidance.

AI workflowCredential TheftGitHub
0 likes · 18 min read
GhostClaw/GhostLoader Malware Deep Dive: GitHub Repo and AI Workflow Attacks on macOS
AI Explorer
AI Explorer
Mar 20, 2026 · Artificial Intelligence

Agency Agents: A Multi‑Specialist AI Team for Development and Marketing

The Agency Agents project on GitHub showcases a lightweight, shell‑script‑driven collection of specialized AI agents that act as a virtual company, offering developers and creators a fast way to access front‑end, community, creative, and reality‑checking expertise.

AI multi‑agent systemAI workflowAgency Agents
0 likes · 7 min read
Agency Agents: A Multi‑Specialist AI Team for Development and Marketing
AI Explorer
AI Explorer
Mar 18, 2026 · Artificial Intelligence

How to Empower Claude with Professional Skills: The Complete Anthropic Skills Guide

Anthropic's 33‑page official guide explains the design philosophy, three‑layer progressive disclosure architecture, usage categories, five practical patterns, authoring tips, debugging methods, success metrics, and a step‑by‑step workflow for building Claude Skills that give AI agents reusable professional capabilities.

AI workflowAgent SkillsAnthropic
0 likes · 16 min read
How to Empower Claude with Professional Skills: The Complete Anthropic Skills Guide
Shuge Unlimited
Shuge Unlimited
Mar 14, 2026 · Artificial Intelligence

Free OpenClaw Guide: Building an Automated AI Content Creation Workflow (Worth 5000 ¥)

This step‑by‑step tutorial shows how to install and configure the self‑hosted OpenClaw AI gateway, set up essential skills, connect Feishu, and create two practical workflows—curtain image generation and viral content dissection—while covering API setup, budgeting, troubleshooting, and pricing considerations.

AI workflowFeishu botOpenClaw
0 likes · 22 min read
Free OpenClaw Guide: Building an Automated AI Content Creation Workflow (Worth 5000 ¥)
Fighter's World
Fighter's World
Mar 14, 2026 · Industry Insights

Can Industry AI Agents Compete with Claude’s Powerful Plugins?

The article examines how Anthropic’s Claude Cowork with plugins lets lawyers build custom AI workflows that cut operating costs dramatically, contrasts this DIY approach with vertical AI platforms like Harvey, and analyzes how these dynamics are reshaping the legal market and its competitive landscape.

AI agentsAI workflowClaude
0 likes · 16 min read
Can Industry AI Agents Compete with Claude’s Powerful Plugins?
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 9, 2026 · Artificial Intelligence

How a Half‑Hour Skill Pack Turned Claude Code into a One‑Click Book Translator

The author shows how a quick GitHub search uncovered LinguaGacha, which combined with Claude Code enabled fast, consistent translation of 130 k‑word books, and how packaging the workflow as a reusable Skill saved hours and turned the process into a single‑command operation.

AI workflowClaude CodeGitHub
0 likes · 15 min read
How a Half‑Hour Skill Pack Turned Claude Code into a One‑Click Book Translator
IT Services Circle
IT Services Circle
Mar 8, 2026 · Artificial Intelligence

Mastering LLM Skills: Modular Prompt Engineering for Scalable AI Workflows

The article explains how to replace monolithic prompts with reusable, lazy‑loaded Skill files, compares Skills with Prompt, MCP and Function Calling, shows concrete Skill structures and examples, and demonstrates a Spring Boot AI interview platform with open‑source repositories.

AI workflowFunction CallingLLM
0 likes · 12 min read
Mastering LLM Skills: Modular Prompt Engineering for Scalable AI Workflows
AI Architecture Hub
AI Architecture Hub
Mar 7, 2026 · Artificial Intelligence

How to Build a Scalable Multi‑Agent System with OpenClaw: From Single Agent to Secure, Isolated Teams

This guide explains why a single OpenClaw agent quickly hits limits, describes the internal isolation units of an agent, shows how to detect when to split agents, and provides step‑by‑step instructions for creating agents, configuring routing, applying three levels of isolation, and performing pre‑deployment security checks.

AI workflowAgent IsolationDocker sandbox
0 likes · 19 min read
How to Build a Scalable Multi‑Agent System with OpenClaw: From Single Agent to Secure, Isolated Teams
DaTaobao Tech
DaTaobao Tech
Mar 6, 2026 · Artificial Intelligence

How We Built an LLM‑Powered User Feedback Sentiment Monitoring System

The transaction terminal team created an AI‑driven workflow that automatically collects, cleans, classifies, alerts, distributes, attributes, and reviews user feedback, using a four‑step LLM model to ensure controllable, consistent, and explainable sentiment analysis while boosting efficiency and trust.

AI workflowAutomationLLM
0 likes · 12 min read
How We Built an LLM‑Powered User Feedback Sentiment Monitoring System
Qborfy AI
Qborfy AI
Mar 4, 2026 · Artificial Intelligence

Build a Personal AI Prompt That Saves You Time Every Session

The article explains how to create a personal AI prompt—called a Master Prompt or Personal OS—by documenting identity, goals, style preferences, and using it each session, with step‑by‑step guidance, examples, and tips for automating the creation and adapting it to multiple roles.

AI prompt engineeringAI workflowChatGPT
0 likes · 8 min read
Build a Personal AI Prompt That Saves You Time Every Session
Frontend AI Walk
Frontend AI Walk
Mar 4, 2026 · Artificial Intelligence

Choosing Between Kimi Claw and Self‑Hosted OpenClaw: A Hybrid Strategy for Knowledge‑Intensive Teams

The article proposes a hybrid architecture where Kimi Claw serves as the primary knowledge and search hub while a self‑hosted OpenClaw node supplements it for intranet security and multi‑model experiments, detailing scenarios, data boundaries, step‑by‑step implementation, and model‑tool selection.

AI workflowClawHubEnterprise Security
0 likes · 14 min read
Choosing Between Kimi Claw and Self‑Hosted OpenClaw: A Hybrid Strategy for Knowledge‑Intensive Teams
PMTalk Product Manager Community
PMTalk Product Manager Community
Feb 18, 2026 · Product Management

How Traditional Product Managers Can Find Their AI‑Era Role as Business‑AI Translators

The article examines the anxiety and hype surrounding AI, argues that product managers should shift from building AI‑native apps to embedding AI capabilities, defines the "business‑AI translator" role, and provides concrete frameworks, scenarios, and step‑by‑step methods for discovering and validating AI‑enabled opportunities in everyday product work.

AI product managementAI workflowbusiness AI translator
0 likes · 14 min read
How Traditional Product Managers Can Find Their AI‑Era Role as Business‑AI Translators
Tech Minimalism
Tech Minimalism
Feb 2, 2026 · Artificial Intelligence

Turning Markdown into Persistent Memory: Inside the planning-with-files Claude Code Plugin

planning-with-files is a Claude Code plugin that replaces volatile AI context with durable Markdown files—task_plan.md, findings.md, and progress.md—using hooks to automatically sync goals, record research, and log actions, enabling reliable task tracking, error persistence, and seamless session recovery for complex coding projects.

AI workflowClaude CodeHooks
0 likes · 14 min read
Turning Markdown into Persistent Memory: Inside the planning-with-files Claude Code Plugin
AI Software Product Manager
AI Software Product Manager
Jan 31, 2026 · Artificial Intelligence

Mastering Claude Code: Optimize Context and Subagents for High‑Value AI Output

This article explains how to maximize the efficiency of Claude Code by understanding context windows, selecting optimal tokens, using commands like /upgrade, /model, and /init, and leveraging subagents, MCP servers, and skills to reduce token consumption while maintaining high‑quality AI responses.

AI workflowClaude CodeLLM context
0 likes · 11 min read
Mastering Claude Code: Optimize Context and Subagents for High‑Value AI Output
TonyBai
TonyBai
Jan 29, 2026 · Artificial Intelligence

Why Overloading CLAUDE.md Makes Your AI Dumber

The article explains that stuffing too many instructions into CLAUDE.md or AGENTS.md overwhelms Claude Code’s stateless LLM, causing it to ignore crucial context, and offers concise, engineering‑focused best practices to keep AI prompts effective.

AI workflowClaude CodeLLM Context Management
0 likes · 9 min read
Why Overloading CLAUDE.md Makes Your AI Dumber
AI Insight Log
AI Insight Log
Jan 27, 2026 · Artificial Intelligence

Claude’s Epic Leap: Chat‑Driven Slack Replies and Live Figma Sketches Transform Workflows

Claude’s new Interactive Tools, powered by the Model Context Protocol, embed Slack, Figma, Asana and other SaaS UIs directly in the chat, letting users draft, preview, and send messages or generate FigJam diagrams without leaving the conversation, though the feature is limited to paid plans and raises trust and privacy concerns.

AI workflowClaudeFigma
0 likes · 5 min read
Claude’s Epic Leap: Chat‑Driven Slack Replies and Live Figma Sketches Transform Workflows
Frontend AI Walk
Frontend AI Walk
Jan 13, 2026 · Artificial Intelligence

Master the planning-with-files AI Skill: Persistent Thinking Like Manus

This tutorial explains the planning-with-files Claude Code skill, its three‑file architecture, installation steps, activation methods, real‑world use cases such as a 2025 front‑end framework research demo, and advanced tips for recovery, collaboration, and version control, showing how external file persistence transforms AI conversations into durable, multi‑step workflows.

AI workflowClaudePrompt engineering
0 likes · 17 min read
Master the planning-with-files AI Skill: Persistent Thinking Like Manus
FunTester
FunTester
Jan 4, 2026 · Artificial Intelligence

Turn AI Workflow Design into Drag‑and‑Drop Magic with Claude Code Workflow Studio

Claude Code Workflow Studio is a VSCode extension that lets you visually design, export, and run AI‑driven automation workflows without writing code, offering low cognitive load, AI‑assisted editing, Slack sharing, and Git‑friendly version control for test and data processing scenarios.

AI workflowAutomationClaude Code
0 likes · 13 min read
Turn AI Workflow Design into Drag‑and‑Drop Magic with Claude Code Workflow Studio
PMTalk Product Manager Community
PMTalk Product Manager Community
Nov 30, 2025 · Industry Insights

Why AirOps Is the New Gateway in the AI Search Era

The article analyzes how AI‑driven search is reshaping content strategy, introduces the concept of Answer Engine Optimization (AEO), and breaks down AirOps’s three‑layer architecture, product capabilities, and its role as a prototype for the next five years of vertical AI workflow startups.

AEOAI SearchAI workflow
0 likes · 9 min read
Why AirOps Is the New Gateway in the AI Search Era
DataFunTalk
DataFunTalk
Oct 6, 2025 · Artificial Intelligence

How OpenAI’s New Agent Builder Lets You Drag‑Drop Build AI Agents

OpenAI will unveil Agent Builder at DevDay, a visual drag‑and‑drop canvas that lets users assemble AI agents from templates, logic nodes, connectors and tools, aiming to lower the barrier for creating production‑grade AI solutions and compete with automation platforms like n8n and Zapier.

AI agentsAI workflowAgent Builder
0 likes · 6 min read
How OpenAI’s New Agent Builder Lets You Drag‑Drop Build AI Agents
AI Cyberspace
AI Cyberspace
Oct 5, 2025 · Artificial Intelligence

AI Agent vs AI Workflow: Which Approach Suits Your Projects?

The article explains the differences between AI Agents and AI Workflows, compares their characteristics, introduces the hybrid Agentic Workflow concept, and offers practical recommendations for building enhanced LLM applications using simple prompts or advanced frameworks.

AI workflowAgentic workflowLLM
0 likes · 10 min read
AI Agent vs AI Workflow: Which Approach Suits Your Projects?
BirdNest Tech Talk
BirdNest Tech Talk
Sep 29, 2025 · Artificial Intelligence

Mastering LangChain Serialization: Save, Load, and Share Your AI Workflows

Learn how to serialize LangChain components—including prompts, chains, and agents—using JSON and YAML, enabling reproducibility, collaboration, persistence, and decoupling, with step‑by‑step code examples for dumping objects to files and loading them back into executable LLM pipelines.

AI workflowLLMLangChain
0 likes · 8 min read
Mastering LangChain Serialization: Save, Load, and Share Your AI Workflows
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Sep 28, 2025 · Artificial Intelligence

Can AI Automate the Entire Research Cycle? From Paper Reading to Code Reproduction

The author builds an AI‑driven end‑to‑end assistant that transforms a research paper into a structured reading note, generates reproducible code, runs experiments, summarizes results, and creates a report, demonstrating how large language models like Kimi K2 can streamline the entire paper‑to‑implementation workflow.

AI workflowClaude CodeKimi
0 likes · 9 min read
Can AI Automate the Entire Research Cycle? From Paper Reading to Code Reproduction
Baidu Geek Talk
Baidu Geek Talk
Aug 6, 2025 · Artificial Intelligence

How AI Can Supercharge Your Development Workflow from Docs to Code

This article describes how a development team integrated a suite of AI‑driven workflows—including AI‑generated documentation, code scaffolding, rule‑based IDE guidance, MCP server connectivity, and memory banks—to reduce repetitive tasks, accelerate coding, improve code review, and streamline operations across the entire software lifecycle.

AI codingAI workflowMCP
0 likes · 18 min read
How AI Can Supercharge Your Development Workflow from Docs to Code
Full-Stack Cultivation Path
Full-Stack Cultivation Path
Aug 2, 2025 · Artificial Intelligence

Is There a Design Pattern for AI Workflows? Exploring Prompt Chaining

The article explains how breaking complex LLM tasks into sequential steps—known as prompt chaining—improves answer accuracy, debuggability, flexibility, and enables sophisticated AI workflows such as report generation, chatbots, and content creation using tools like n8n and Ollama.

AI workflowAutomationLarge Language Model
0 likes · 6 min read
Is There a Design Pattern for AI Workflows? Exploring Prompt Chaining
MaGe Linux Operations
MaGe Linux Operations
Jun 28, 2025 · Artificial Intelligence

Master Dify: From Local Deployment to Advanced AI Workflows in 2025

This guide walks you through installing and configuring Dify—a open‑source LLM application platform—on your local machine using Docker, integrating it with Ollama for custom models, and exploring its core features such as chat assistants, agents, workflows, and tool extensions, all illustrated with step‑by‑step screenshots and code snippets.

AI workflowDifyDocker
0 likes · 12 min read
Master Dify: From Local Deployment to Advanced AI Workflows in 2025
JavaEdge
JavaEdge
May 30, 2025 · Artificial Intelligence

How to Build a Deep Research Workflow in Dify Using AI Agents

This guide explains how to construct a deep research workflow in Dify that leverages AI agents, loop variables, and structured outputs to automatically explore complex topics, gather sources, and synthesize comprehensive reports with proper citations.

AI workflowAgentAutomation
0 likes · 9 min read
How to Build a Deep Research Workflow in Dify Using AI Agents
Alibaba Cloud Developer
Alibaba Cloud Developer
May 23, 2025 · Operations

How to Schedule Dify Workflows with GitHub Actions and XXL‑JOB

This article explains how to overcome Dify's lack of built‑in scheduling and monitoring by integrating it with external task‑scheduling systems such as GitHub Actions and XXL‑JOB, detailing setup steps, limitations, and the advantages of using XXL‑JOB for precise, enterprise‑grade workflow automation.

AI workflowDifyGitHub Actions
0 likes · 11 min read
How to Schedule Dify Workflows with GitHub Actions and XXL‑JOB