#AI Agent
1116 related articles
Why Does Your AI Customer Service Keep Saying 'Please Be Patient'? Because It Never Checks Real-Time Status
Why does AI customer service always say 'please wait'? Because it only queries a knowledge base and never reads real-time status. Learn how financial AI agents should combine policy rules with live transaction data.
Plan-and-Patch: Agentic Planning and Local Repair with Diffusion Language Models
Plan-and-Patch uses diffusion language models for agentic planning and local repair. Diffusion planners hit 53.7% repair success rate — nearly 2x AR models — while cutting latency 39–46%.
Reviving HTTP 402: Letting AI Agents Pay for Data Autonomously with USDC
A developer revived the dormant HTTP 402 status code to build an MCP server where AI agents autonomously pay for data using USDC micropayments on Base L2 — an early glimpse of M2M economics.
Putting an AI Agent on a Nokia 110: An Experiment in Making Retro Feature Phones Smart
A developer deployed an AI Agent on a Nokia 110 feature phone, sparking Hacker News discussion. Explore the edge-cloud architecture, channel reuse, and what retro hardware tells us about AI accessibility.
Enterprise AI Agents in Practice: Using Agents for Incident Root Cause Enrichment
How do enterprises deploy AI Agents? This article breaks down an Incident Enrichment use case: a response agent coordinating multiple diagnostic agents to safely collect evidence and reason about root causes via MCP and an identity gateway.
MCP Explained: How AI Agents Connect to Tools via the Model Context Protocol
MCP (Model Context Protocol) is Anthropic's open standard for connecting AI models to external tools. Learn how it powers Agentic AI to execute real-world tasks.
You Don't Need to Start an AI Company: A Practical Path to Earning with AI Agents
YouTube creator Tim proposes a practical AI monetization path: skip the startup, find tasks businesses already pay for, build AI agent systems around them, and charge for implementation.
Building Reliable Data Analysis Agents: Lessons from NVIDIA KGMON at KDD Cup
NVIDIA KGMON placed 2nd at KDD Cup by simplifying the agent harness for reliability. Learn key engineering lessons for building production-ready data analysis agents.
AI Agent Security Layer in Practice: Cerbere AG Seeks Early Testers
A solo developer from Kinshasa built Cerbere AG, an AI Agent security control layer with SDK, runtime, dashboard, and detection system — now recruiting 5-10 free early testers.
Before Letting AI Agents Take Over Your Network, Set These 3 Safety Guardrails First
Before giving AI agents write access to real networks, you need 3 safety guardrails. Learn how MCP tool labels, permission rules, and approval gates work — and why defaults are risky.
Google Launches New Gemini Enterprise Agent: One Prompt Box to Handle Everything
Google unveils its new Gemini enterprise agent at NASA Hangar One, unifying Q&A, knowledge work, image generation, and code execution in one prompt box with persistent memory and multi-agent orchestration.
AI Agents Always Request Too Much Data? The Data Minimization Problem and How to Solve It
AI agents routinely request far more data than their tasks require, exposing sensitive fields like billing data. This article analyzes data minimization challenges in AI agent scenarios and offers practical solutions including dedicated endpoints, field filtering, scoped access control, and data masking.
Ana by Vertice: The AI Agent That Negotiates Software Procurement for You
Vertice's AI negotiation agent Ana executes software procurement negotiations end-to-end — trained on $75B in vendor spend and 2M+ price points, averaging 18% cost savings.
AI Agent Skill Script Development: When to Write and When to Never Write
When should you write a script for an AI Agent Skill — and when should you never? This guide covers the key scenarios and a simple decision framework for developers.
LangChain Callback Blind Spots: How to Audit Out-of-Chain API Calls in Agent Workflows
LangChain callbacks track in-chain tool calls but miss direct SDK calls, out-of-chain requests, and shared service accounts. Learn the gap between observability and auditability.
After ElevenLabs' Latest Update, Should You Pick It or Retell for Your Voice AI Agent?
After ElevenLabs updated its platform and voice models, is Retell still the better choice? This article analyzes key voice AI agent selection criteria — natural interruptions and call stability — with practical evaluation advice.
Grokbot Bioinformatics AI Agents: 11 Specialist Agents for Sequence Analysis
Grokbot uses MCP protocol and templated deployment to spin up an 11-agent bioinformatics expert team in five minutes, covering sequence analysis and data processing.
MCP in Practice: API, Server, and Permission Architecture for AI Agent Tool Calling
An architect's breakdown of how MCP lets AI Agents securely call tools — covering GitHub API auth chains, local vs. remote servers, registry policies, and blast radius control.
OpenAI DevDay Launches Codex Cloud: AI Coding Breaks Free from the Laptop
OpenAI DevDay 2026 launches Codex Cloud, Space, and dots — freeing AI coding agents from local laptops with cloud environments, private resource access, and proactive personal AI agents.
Andrew Ng's Agent Course Highlights: A Practical Path from Single Agents to Full Automation
Key insights from Andrew Ng's AI Agents in LangGraph course: 5 agentic workflow design patterns, building ReAct agents from scratch, LangGraph nodes and state, Agentic Search, persistence, human-in-the-loop, and multi-agent architectures.