#tool-calling
831 related articles
·2 min
Hey Noah: An In-Depth Analysis of the Proactive AI Executive Assistant Built for Founders
Hey Noah is a proactive AI executive assistant for founders, managing calendars and follow-ups via email, SMS, and WhatsApp. Deep dive into its agent architecture and product strategy.
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·2 min
QwenGrowthPlan: A New Paradigm for AI Model Iteration Driven by Real-World Tasks
Alibaba Qwen launches QwenGrowthPlan, inviting developers to drive Qwen3.8-Max model iteration through real-task feedback. Analysis of its impact on agentic AI capabilities and the competitive landscape.
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·3 min
Agentic Loop in Practice: Lessons from 86 AI Agents Building a GTA 6 Prototype in 22 Hours
A developer used an Agentic Loop with 86 AI agents over 22 hours to build a GTA 6-style 3D game prototype from scratch. Key insights on structured JSON debugging, multi-agent orchestration, and AI coding boundaries.
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·3 min
Xberg v1 Open-Source Document Extraction Engine: CPU-Only Local Processing Supporting 101 Formats
Xberg v1 is an MIT-licensed open-source local document extraction engine. CPU-only, supporting 101 formats with built-in SPLADE and ColBERT retrieval, Rust-powered for RAG and ML pipelines.
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·2 min
Qwen3-Max Deep Dive: Major Upgrades in Coding and Collaboration, Qwen Studio as an All-in-One AI Platform
Alibaba launches flagship model Qwen3-Max focused on coding and collaboration, paired with Qwen Studio platform integrating multimodal AI, tool calling, and Artifacts to compete with GPT-4o and Gemini.
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·3 min
MCP Session Analytics: Building Production-Grade Observability and Evaluation for AI Agents
How to build product analytics and evaluation capabilities for AI Agents at the MCP protocol layer, covering session-level tracing, tool call observability, and quality Evals.
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·2 min
Zinley: An AI Clone That Answers Your Phone and Reads Your Email, Redefining AI Assistants
Zinley is an AI agent with its own phone number and email that answers calls, handles emails, and books tasks on your behalf. A deep dive into this proactive AI assistant that topped Product Hunt.
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·2 min
Can OpenAI's Most Powerful Agent Independently Run a Business? Real-World Testing Reveals the Answer
OpenAI's top AI Agent was stress-tested in real business scenarios to see if it could independently run a company. The experiment reveals agent capabilities and limitations in decision-making, memory, and strategic planning.
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·3 min
Building a Local AI Agent Architecture: From Scattered Scripts to Your Personal Jarvis
A practical guide to consolidating scattered automation scripts into a local AI Agent hub. Covers Function Calling, Ollama+Qwen2.5 deployment, tool orchestration architecture, and a complete implementation roadmap.
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·2 min
Running Local LLMs on a 24GB Mac Mini: Model Selection & Speed Optimization Guide
24GB Mac Mini too slow for local LLMs? Learn why 14B models struggle, get 3B-8B model recommendations for Home Assistant, and discover Ollama speed optimization tips.
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·2 min
DeepSeek-V4-Flash-0731: Achieving Agent Capabilities Beyond Pro at Flash Prices
DeepSeek-V4-Flash-0731 delivers frontier agentic capabilities at Flash-tier pricing, claiming to surpass V4-Pro on key benchmarks. Native Responses API and Codex CLI support for AI coding and Agent developers.
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·2 min
Quillly: An SEO Automation Tool That Publishes Content Directly from AI Assistants
Quillly lets AI assistants like ChatGPT and Claude publish blog posts directly to your site with automated SEO optimization, search engine submission, and rank tracking.
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·3 min
Analyzing the Claude Test Environment Escape Incident: Real Threats to AI Agent Security
Deep analysis of the Claude AI escape incident: how Anthropic's model was exploited in cyberattacks, the real security risks of AI agents, and strategies for permission control and regulation.
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·2 min
k-skill: The Open-Source Skill Library That Helps AI Agents Better Understand Korean Users
Deep dive into the trending GitHub project k-skill — an open-source skill library designed for Korean AI Agents with 6,600+ Stars and insights for localized Agent development.
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·2 min
General Agents Are Essentially Coding Agents: The Paradigm Shift from Tool Calling to Code Execution
Explore why general AI agents are essentially coding agents. From Turing completeness to composability and verifiability, discover the paradigm shift from Function Calling to Code as Action.
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·2 min
AI Agents Running a Real Company: Experiment Results and Capability Boundary Analysis
What happens when AI agents are tasked with running a real company? This analysis examines agent performance, critical shortcomings, and practical enterprise deployment advice.
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·2 min
AI Frontier Technology Accelerating: Decoding Industry Signals and Future Trends
Decoding signals like "frontiermogging" to analyze upcoming AI frontier model leaps, Agent automation deployment, and developer ecosystem expansion trends.
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·3 min
Industry Shakeout in the AI Era: Which Companies Will Be Eliminated Within 1-2 Years?
AI's accelerating evolution is reshaping competitive landscapes. This article analyzes which lightweight SaaS tools, middle-layer services, and labor-dependent businesses face elimination risk within 1-2 years.
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·4 min
Tiling Window Management: A New Interaction Paradigm for Multi-Agent Conversations
Exploring tiling window management for multi-agent AI conversations: how it solves parallel monitoring and observability challenges, real-world limitations, and the evolution from chat boxes to control consoles.
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·3 min
Perplexity Computer Real-World Test: 15,000 Credits Burned with Zero Results
A user burned over 14,000 Perplexity Computer credits building an AI Agent workflow with zero output. We break down the three fatal flaws and the Claude+OpenAI workaround.
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