Conway AI Agent: Anthropic’s Always-On AI for Claude on iOS
Anthropic unveils Conway, an always-on AI agent for iOS that combines Claude’s language model with proactive assistance, privacy-first design, and advanced automation capabilities.
The “Agentic SOC”: How AI Agents Are Replacing Traditional Security Operations in 2026
A practical guide to the Agentic SOC, covering AI agents in security operations, analyst workflows, detection engineering, response automation, and governance.
ERNIE 5.1: What Baidu’s New AI Model Means for Search, Agents, and Enterprise AI
A practical guide to ERNIE 5.1, covering Baidu’s release, search ranking claims, cost story, Qianfan access, agent use cases, and enterprise risks.
Minor edits to AI skills can make agents go rogue
A deep technical analysis of how small semantic edits in SKILL.md files can steer autonomous agents toward unsafe tools and how to harden the full skill supply chain.
Alibaba AI Chips: 5 Critical Shifts Reshaping the Agent-Era AI Race
Alibaba AI chips are now built around agent workloads, not raw model scale. Discover 5 critical shifts this pivot delivers to the global AI race and what enterprise leaders should do in response.
AI Agent Harnesses: The Powerful New Way to Build and Run AI Models
AI agent harnesses — frameworks like OpenClaw, LangGraph, CrewAI, and AutoGen — are rewriting how AI models are built, orchestrated, and governed in production. Here is what every leader needs to know.
Multimodal AI: 9 Powerful Industry Use Cases
Multimodal AI is transforming industries by combining text, images, audio, video, documents, and sensor data. Here are 9 use cases SMEs need to know.
Perplexity Computer: 7 Powerful AI Workflow Uses
Perplexity Computer guide for SMEs covering 7 workflow uses, Comet browser, pricing, credits, Enterprise controls, security, and governance.
XCrawl: 7 Powerful AI Web Scraping API Uses
XCrawl guide for SMEs evaluating AI-ready web scraping, crawl, search, map, Markdown, JSON, pricing, integrations, and governance controls.
Intent-Based Chaos Testing: Critical AI Tests for Confidently Wrong Systems
Intent-Based Chaos Testing helps teams test whether AI assistants and agents preserve real user intent when prompts, context, tools, policies, and handoffs become messy.