Blog

Skill cards, self-hosted sandboxes, MCP tunnels, computer-use verifiers, and a Five Eyes warning all landed in twenty-one days. The boring perimeter around capable agents finally has shape.

Twenty minutes of tabs vs. five minutes of prompt. The traditional web wasn't designed for humans — it was designed for mice. The agent-native web is quietly dismantling the parts that never made sense.

Anthropic just shipped 10 financial services agent templates. The interesting part isn't the templates — it's the three-layer architecture quietly becoming the standard for enterprise agents.

Deep dive into voice agent architectures. Why cascaded models give you control and fused models trade complexity for naturalness. What we're learning from shipping production agents at scale.

Why your cascaded voice agent sounds robotic — and how to fix it with concrete examples, SSML pause patterns, emotion tags, and personality-as-behavior prompting techniques.

A deep dive into context engineering — the techniques that separate toy demos from production AI agents. Covers compaction, offloading, isolation, caching, and prioritization with real examples from Manus, Claude Code, and Devin.

How exploring LLM fine-tuning led to building a Gymnasium-compatible RL environment where 7 LLM-powered agents run a company — trained with GRPO + LoRA on Qwen 2.5 14B — and what we learned about reward design, emergent collaboration, and the future of agentic AI.

AI agents are drowning in tools. The more APIs you connect via MCP, the worse your agent performs. Here's why, and what Code Mode changes.

We've been so obsessed with what AI can do that we forgot about how it feels to use it. The AI experience layer is the next frontier — not the model, not the capabilities.

A comprehensive hands-on comparison of seven open-source AI agent frameworks — which one should you actually use?