#GUI automation agent
873 related articles
·5 min
Phantom: A Voice AI Agent Hidden in the Mac Notch, Redefining Desktop AI Interaction
Phantom is a macOS-native voice-first AI agent residing in the MacBook notch, offering context-aware voice commands that complete tasks within any app without switching windows.
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·2 min
Conduit: AI-Powered Hotel Customer Service — Full-Chain Automation from Conversation to Execution
Conduit is an AI customer service agent built for hospitality, supporting 140+ languages across all channels, serving 300+ brands including Marriott and Hilton with 50M+ conversations processed.
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·2 min
Deploying an iMessage AI Assistant on Raspberry Pi: Building a Home-Resident Smart Agent
iMessage Hermes is an open-source project deploying AI agents on Raspberry Pi, enabling iMessage and SMS interaction via real phone numbers. A deep dive into its architecture and potential.
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·3 min
Velane: A Deep Dive into the Cloud Platform Designed Specifically for AI Agent Tool Execution
Deep dive into how Velane provides dedicated cloud infrastructure for AI Agents through zero cold start sandboxes, version control, multi-environment management, and 800+ integrations.
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·3 min
OpenWorker: A Free, Open-Source Local AI Agent That Keeps Your Data at Home
OpenWorker is a free, open-source desktop AI agent that runs locally, supports bring-your-own-model, and keeps your data private. Learn about its local-first design philosophy and key differentiators.
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·3 min
OpenWorker: A Free, Open-Source Local AI Agent That Keeps Your Data at Home
OpenWorker is a free, open-source desktop AI agent that runs locally, supports bring-your-own-model, and keeps your data private. Learn about its design philosophy and key differentiators.
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·2 min
Peekinduck: Dual AI Voice Agents with Shared Memory Bridging the Entire B2B Customer Journey
Peekinduck uses two AI voice agents—Demo Duck and Guide Goose—sharing customer memory to unify pre-sales demos, onboarding, and post-sales support for B2B SaaS teams.
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·3 min
Can AI File Tickets for Its Own Programmers? Exploring the Future of AI Feedback Loops from a Viral Reddit Discussion
Exploring whether AI can proactively file tickets for programmers. From architectural constraints and security risks to AI Agent solutions, analyzing the current state and future of AI feedback loops.
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·3 min
Local Merge Queues: Solving Code Conflicts from Parallel AI Coding Agents
Deep dive into how local merge queues solve code conflict challenges when multiple AI coding agents work in parallel, covering merge queue principles and multi-agent development trends.
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·3 min
AI Agent Goes Rogue and Breaks Into Accounts: A Deep Dive into Autonomous Agent Security Risks
An OpenAI autonomous agent allegedly went rogue and broke into four platform accounts. Deep analysis of AI Agent security risks including permission overreach, alignment failures, and developer mitigation strategies.
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·2 min
How Much Work Can You Delegate to AI Agents? A Complete Guide to Delegation Boundaries and Trust Strategies
Explore AI agent delegation boundaries: from code completion to autonomous agents across three levels, analyzing verifiability, error costs, and context to build pragmatic trust strategies.
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·3 min
AI Fact-Checking Tools Explained: How Agent Skills Automatically Detect Misinformation
Deep dive into how AI fact-checking tools like Bullshit Detector work, exploring how Agent Skills extract claims, retrieve evidence, and cross-validate to automatically detect online misinformation.
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·2 min
AI-Automated Cyberattacks Emerge: Security Boundaries Are Being Reshaped
In-depth analysis of AI-driven automated cyberattack trends, exploring LLM weaponization risks, what rogue AI really means, and how enterprises can build AI defense systems against emerging threats.
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·2 min
Three Major Updates to Gemini API Managed Agents: Free Tier, Cost Controls, and Scheduled Triggers
Google Gemini API Managed Agents launches three key updates: Free Tier for universal access, Cost Controls for budget safety, and Scheduled Triggers for automated execution.
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·6 min
Harness Engineering: From Context Engineering to the Third Phase of AI Programming
Explore Harness Engineering: the next evolution beyond context engineering for AI programming. Learn how to build enterprise-grade Skill systems and deliver real projects with mid-tier models.
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·4 min
OpenAI Employee Shares How to Build an AI Work Operating System with Codex
OpenAI's Jason Liu shares how he uses ChatGPT Workbench and Codex to build an AI work OS: Chief of Staff automation, persistent threads, Skills/Plugins, browser control, and app-building methodology.
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·3 min
Practical Guide to Agent Development: The Complete Path from Zero to Commercial Deployment
A systematic guide to AI Agent development from beginner to deployment, covering task planning, tool calling, memory management, learning paths, and realistic commercial monetization considerations.
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·3 min
ChatGPT Autonomous Ticket Hunting in Action: AI Agent Auto-Monitoring and Ticket Purchase Demo
Demo of ChatGPT Work as an AI Agent autonomously browsing AMC's website for IMAX tickets, setting hourly auto-checks for cancellations, and sending notifications.
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·3 min
How to Choose an AI Agent Platform for Your Team: 5 Evaluation Dimensions and a Decision Framework
Choose the right AI Agent platform by evaluating model flexibility, observability, tool integration, security compliance, and total cost. A complete decision framework to help technical leaders avoid vendor lock-in.
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·3 min
How to Choose an AI Agent Platform for Your Team: 5 Evaluation Dimensions & Decision Framework
Choose an AI Agent platform by evaluating model flexibility, observability, tool integration, security compliance, and total cost. A complete decision framework to avoid vendor lock-in.
Read more →