Blog

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?

Open-sourcing my childhood dream — an AI agent that understands context, makes decisions, and controls connected devices just like JARVIS.

Best practices and strategies to optimize React's useEffect hook — minimizing dependencies, cleaning up side effects, custom hooks, useMemo, debouncing, and more.