Agents.
Demystifying Auto-Mode: Intent Classifiers, Kernel Sandboxing, and the Frontier of Autonomous Agent Guardrails.
Automating agent permissions solves "permission fatigue" but risks security. This analysis explores decoupled intent classifiers like Auto Mode, defense-in-depth via sandboxing, and emerging local guardrails like Shieldstral and AgentWorld.
Zero-G, Zero-Prompts: Lifting the Heavy Burden of Permission Fatigue in Google Antigravity
How a decoupled security gate brings auto-mode intelligence and static policy control to Google Antigravity 2.0 without sacrificing user agency.
Bringing your (k)nowledge to Antigravity
How we built a resilient and developer-centric integration between Nowledge Mem and Google Antigravity 2.0.
From Monolith to Mosaic: How Composable AI is Redefining Enterprise Value
Enterprise AI is shifting from giant, costly models to efficient, specialized Small Language Models (SLMs) working in teams. This composable approach boosts accuracy, cuts costs, enhances privacy, and enables on-premise deployment—transforming AI into a competitive advantage for 2026 and beyond.
The Unseen Revolution: Why Small Models could be the True Engine of Agentic AI
Agentic AI is transforming the field, enabling fast, efficient, and affordable automation far beyond chatbots through small, specialized models. These Small Language Models (SLMs) can outperform large models in real-world tasks, powering the next generation of enterprise and on-device AI.
Are We Building AI Agents Inside-Out?
In the race to build powerful AI systems, are we focused on the wrong thing? New research suggests success lies not in agent skill alone, but in the architecture of their prompts and collaboration. This piece explores how to think less like a trainer and more like a system architect.
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