#AI Agent
1119 related articles
26 Real-World AI Agent Use Cases: A Power User's 60-Hour Retrospective
A Reddit power user shares 26 real AI agent use cases after 60 hours with Muse — covering news monitoring, calendar management, finance automation, bug fixing, and more.
The Trap of the All-in-One Agent: Why Multi-Agent Collaboration Is the Reliable Path Forward
A single all-powerful agent looks impressive but struggles with consistency. This article explores why multi-agent collaboration—with clear roles, handoffs, and oversight—is the reliable path to scalable Agentic AI.
AI Agents Explained: The Intelligence Revolution from Passive Q&A to Autonomous Action
What is an AI Agent? Learn how it differs from LLMs and Chatbots, how its perception–reasoning–action loop works, and why it's transforming education, finance, and more.
From RAG to Multi-Agent: How Developers Can Actually Ship Enterprise-Grade AI Agents
Why developers must level up from RAG to multi-Agent. Covers the technical boundaries between prompt engineering, RAG, and Agents, plus a clear progression path for building enterprise-grade AI agents.
Two AI Agents Negotiated a Used Hard Drive — and Suddenly Personal Agents Feel Real
Two AI agents spontaneously negotiated a used WD hard drive on EigenFlux in 18 minutes. This small Reddit moment makes the personal agent concept feel genuinely real for the first time.
Copilot Studio Deep Dive: GitHub Copilot Harness, MCP, Skills, and More
Deep dive into Microsoft Copilot Studio's new GitHub Copilot Harness: agentic loop mechanics, comparison with Standard Harness, and practical guidance on MCP servers, Skills, Memory, and Sandbox.
When an AI Agent Truly Controls Your Homelab: Lessons and Risks from a K3s Experiment
A developer connected a local Qwen Agent to a K3s homelab via MCP with full write permissions. This experiment log reveals the real risks and lessons of giving AI agents true system access.
OpenAI Launches Persistent Agent 'dots', Anthropic Commits $518B to Compute
Sept 30 AI news: OpenAI's persistent agent dots, Anthropic's $518B compute commitment, America.gov with Gemini, and Trump's 'morally binding' AI safety deal.
How Much Scaffolding Does a Capable Agent Actually Need for Autonomous ML Engineering?
Does autonomous MLE engineering really need complex multi-agent scaffolding? We examine whether strong coding agents using read/write/bash can do the job instead.
Cura: The AI Travel Agent That Plans, Books, and Adapts on Your Behalf
Cura is an AI travel agent (ranked #2 on Product Hunt) that autonomously plans itineraries, books flights and hotels, handles check-in, and adapts to changes — with human advisors as backup.
LangGraph + MCP + Medical RAG: A Practical Introduction to Enterprise-Grade Multi-Agent Systems
Turing College instructor Loulan breaks down enterprise-grade multi-agent development using LangGraph, LangChain, and MCP through a real medical RAG project.
The Delayed Label Dilemma: How to Evaluate a Buying Signal Agent That Reads Messy Web Text
When an AI Agent extracts buying signals from job posts and earnings calls but true labels take months to appear, how do you evaluate it? We break down delayed labels, sample bias, and LLM-as-judge pitfalls.
jev-ultrafast Tested: AI Searches Flights in 7 Seconds, But Crashes on 12306
jev-ultrafast by BrowserUse completes flight searches in 7 seconds, cuts protocol calls from 1092 to 101, supports GLM/DeepSeek, MIT licensed — but fails on 12306's custom Div dropdowns.
Tracing Agent Execution Paths with NVIDIA NeMo Relay: Making Efficiency Visible
NVIDIA NeMo Relay traces Agent Harness execution behavior, helping developers uncover inefficient paths behind task completion. Learn why process-level observability matters.
Agent Skills Architecture Deep Dive: From Description to Directory Structure — Clearing Up Common Misconceptions
A deep dive into Agent Skills architecture: official definitions, SKILL.md metadata, how description enables LLM tool calling, full directory structure, and why "Skills is just an md file" is misleading.
Agent Skills Architecture Deep Dive: From Skill.md to the Core Logic of Tool Calling
A deep dive into Agent Skills architecture: from the minimal SKILL.md structure and name/description metadata to tool calling mechanics and why description is critical for LLMs.
Ferndesk: The AI Documentation Assistant That Keeps Your Help Center Evergreen
Ferndesk is an AI-powered help center tool that uses an AI Agent to audit docs, catch product changes, and draft corrections automatically — keeping documentation perpetually up to date.
CrawlRaven MCP: Letting AI Agents Take Over Your SEO Workflow
CrawlRaven MCP integrates Search Console, GA4, keywords, and crawler data into an MCP server, letting Claude, ChatGPT, and Cursor directly handle your SEO workflow with impact-ranked action plans.
Flocker Agent Profiles: Give Every AI Agent a Dedicated Homepage and Collaboration Network
Flocker Agent Profiles gives every AI Agent a dedicated homepage, live feed, and personal storage to solve context loss. Supports Claude Code, Codex, and more.
AI Agent Permission Controls for SaaS Applications: A Practical Security Authorization Checklist
A practical AI Agent permission control checklist for SaaS apps, covering least privilege, short-lived credentials, intent verification, and audit logs to secure AI-authorized operations.