AI Agents
Agentic systems, orchestration, MCP and autonomous tooling.
Nscale's $900M Bet on Agentic AI Infrastructure: What It Means for Cloud Computing Services Worldwide
London-based AI infrastructure startup Nscale has secured $900 million in flexible liquidity to accelerate its data center buildout across Europe, the U.S., and the Asia Pacific — a move that reshapes how agentic AI infrastructure is being funded and deployed globally.
The Context Gap: Why Most Enterprise AI Agents Are Confidently Wrong
A VB Pulse survey of 101 enterprises reveals that 57% have watched AI agents deliver confidently incorrect answers due to poor context — yet only a quarter have deployed a governed agentic context layer to fix it.
Superhuman’s Agentic Labs AI Auto-Draft Is the First That Feels Like Me
Superhuman’s agentic labs AI auto-draft is the first that feels like me—40% of drafts sent same-day, 60% of those with zero edits. Here’s what changed.
Why Most Agentic AI Projects Will Fail — And How to Beat the Odds
Gartner predicts 40% of agentic AI initiatives will be canceled by 2027, while the EU AI Act's Article 14 human oversight requirements take effect August 2026. This article examines the three critical infrastructure layers—identity, observability, and cost optimization—that determine whether agentic AI deployments survive or stall.
MoEngage Swaps Rules for Agents—Buying Aampe to Scale Per-User Decisioning
Indian customer engagement platform MoEngage has acquired AI startup Aampe in an all-cash deal worth tens of millions, building per-user agents that run 200 billion decisions weekly and pushing back at Salesforce’s segment-based marketing clouds.
Gemini Spark Lands on macOS: An Agentic Assistant for Your Desktop, Not Just Your Calendar
Google’s Gemini Spark AI agent is rolling out to macOS as a desktop app, bringing file-aware tasks, Google Tasks & Keep integration, and third-party support for Canva, Dropbox, Instacart, OpenTable, and Zillow. Here’s how to use it — and why theMac launch matters now.
The Agentic Shift: How AI Agents Are Reshaping the Modern Office
As major tech players like Anthropic, Google, and OpenAI accelerate the development of autonomous agents, white-collar workers face a shifting landscape where productivity tools transition into active executors of work tasks.
Why the AI World Is Ditching Swiss Army Knives for Precision Tools
As enterprises mature, hyperscalers are pivoting from frontier models—big, powerful, and blunt—to lean, purpose-built AI tools that cost less, deliver the same results, and keep behavior in check.
Beyond Automated Traffic: Why Your Website’s Agent Strategy Needs More Than a Text File
Most websites are placing a blind bet on agent strategy. We compare the identity approach of llms.txt with WebMCP's capability standard, and show you how to audit and build your agent endpoints.
Microsoft’s Binlog MCP Server Empowers AI Assistants to Diagnose MSBuild Failures and Analyze Performance via Natural Language
A preview tool released June 17, the Microsoft Binlog MCP Server enables AI assistants like GitHub Copilot to investigate build failures, trace property origins, analyze bottlenecks, and compare builds using natural language queries on MSBuild .binlog files.
Self-Harness: When AI Agents Start Debugging Themselves—No Human Handholding Required
Self-Harness gives AI agents the tools to autonomously test, evaluate, and rewrite their own decision logic—shaving up to 60% off performance bottlenecks by removing the human bottleneck entirely.
For More Than Two Decades, the Smart Home Fought One Battle: Making Devices Easier to Control
Two decades of voice commands and mobile apps finally hit a wall. Now AI is shifting the smart home from remote control to proactive orchestration — and families are leading the change.