#multi-agent voice AI
111 related articles
·7 min
Getting Started with AI Agents: A Deep Dive into the Perception-Decision-Action Loop
A clear, in-depth guide to how AI Agents work: the paradigm shift from traditional programs, the perception-decision-action loop, and the four pillars—LLMs, tool calling, memory, and RAG.
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·4 min
AI Agent Learning Path for Beginners: From Theory to Real-World Practice
A complete AI Agent learning roadmap covering BDI theory, core components (Perception/Planning/Execution), AutoGen multi-agent frameworks, and DeepSeek RAG projects for beginners.
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·4 min
Switching Careers to LLM Development: The Four Core Competency Layers Companies Actually Need
Want to break into LLM development but not sure where to start? This guide breaks the core skills into four progressive layers — from basic knowledge to RAG, fine-tuning, Agents, and multimodal — so you can align with real enterprise needs and land the job.
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·4 min
Agent Draw: An AI Whiteboard That Draws While You Talk
Agent Draw is an AI whiteboard built on TLDraw that lets you speak or type to have an AI agent draw flowcharts and diagrams in real time. A deep dive into its tech, design, and use cases.
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·4 min
Career Switch to LLM Development: A Four-Level Skill Progression Roadmap
Want to switch careers into LLM development but don't know where to start? This guide breaks down a four-level skill roadmap — from basics and API calls to RAG, fine-tuning, Agent development, and multimodal — to help you build real AI career value.
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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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·6 min
A Beginner's Guide to AI Agents: How Large Models Are Driving a New Computing Revolution
What is an AI Agent? This article systematically explains the core architecture of AI agents (LLM + Planning + Memory + Tools), how they differ from ChatGPT, their combination with robots, and why developers must master Agent development skills.
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·3 min
Zhipu GLM-5.2 Officially Launches | Full Breakdown of Anthropic's U.S. Export Control
Zhipu GLM-5.2 launches with tiered thinking and long-context support, while Anthropic faces rare U.S. export controls over AI security vulnerabilities. Full breakdown.
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·4 min
Enterprise AI Agent Development Guide: Multi-Task Recognition and Dynamic Tool Calling in Practice
A deep dive into AI Agent architecture and enterprise deployment. From LangChain and ReAct design to dynamic tool calling and multi-task recognition — build autonomous enterprise AI assistants.
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·6 min
Vibecoding in Practice: Architecture Trade-offs and Implementation of a Dual-Engine TTS Router
Alibaba Cloud vs Volcano Engine TTS: why "I want both" is the mature engineering decision. Dual-engine routing design, priority trap debugging, and vibecoding-powered implementation.
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Three Role Shifts for Engineers in the…
·4 min
Three Role Shifts for Engineers in the AI Agent Era: From Coders to System Designers
As AI Agents handle long-horizon autonomous tasks, engineers are shifting from writing code to setting direction, reviewing output, and designing systems around models.
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·2 min
Marketing Skills: An Analysis of the Open-Source Project Injecting Marketing Expertise into Claude Code
Explore how the open-source project marketingskills injects CRO, SEO, and copywriting expertise into Claude Code and AI Agents, and how the Skills paradigm transforms AI into domain specialists.
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The Rise of Autonomous AI Research: Ef…
·2 min
The Rise of Autonomous AI Research: Efficiency Gains vs. the Battle for Human Control
At AIEWF, the vision of autonomous AI research sparked fierce debate. Can AI complete a full research loop independently? Experts defend human understanding and control, revealing the core tension between automation efficiency and human agency.
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·3 min
Short Drama Agent Tested: Is AI One-Click Video Production Actually Feasible?
Full hands-on test of Short Drama Agent: from scriptwriting and character three-view sheets to AI video generation. We break down the workflow for cute-style and xianxia dramas and analyze three key pain points: cost, rigidity, and visual inconsistency.
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·4 min
Claude Code New Features Deep Dive: Remote Control, Multi-Agent Parallelism, and Auto Memory
Deep dive into Claude Code's major new updates: Remote Control for session takeover, Auto Mode to reduce interruptions, multi-agent code review, Auto Memory, and Routines for cloud automation workflows.
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Tech Frontiers·2 min
A Rare Quiet Day in AI: Thinking Clearly in an Age of Information Overload
When the AI industry hits a rare quiet day, what should practitioners do? Exploring information fatigue, signal vs. noise, and how to use calm periods for deeper technical and strategic work.
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·4 min
LangGraph.js Practical Guide: A Frontend Engineer's Path to AI Agent Development
A practical LangGraph.js guide for frontend engineers covering LangGraph vs LangChain comparison, workflow vs general-purpose agent types, and layered Agent architecture design.
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·3 min
Getting Started with AI Agent Development: Core Concepts, Architecture, and Practical Essentials
A comprehensive guide to AI Agent development covering core concepts, the Perception-Brain-Action architecture, key differences from chatbots, four essential components, and mainstream framework selection.
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·4 min
Deep Dive into Pi Coding Agent: Why One Developer Abandoned Mainstream AI Tools to Build from Scratch
Veteran developer Mario Zechner dissects flaws in Cloud Code, OpenCode, and Cursor, then builds Pi — a minimalist coding Agent with just four tools and deep extensibility.
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·3 min
Andrew Ng's Advanced AI Prompting Guide: Core Methods for Going from Beginner to Expert
Based on Andrew Ng's latest AI prompting tutorial, learn the core gaps between beginners and experts: providing context, overcoming sycophancy, iterative workflows, and four key principles.
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