Insights
Writing and research on agentic AI, voice technology, MCP integration, and the future of intelligent automation.
Agentic CLIs Can Do So Much More Than Code-Gen
Why agentic command-line interfaces are the most underrated tool in modern AI—and how they're transforming system administration, documentation, and workflow automation far beyond writing code.
Whisper Hebrish: Fine-Tuning ASR for Code-Switching
How I fine-tuned OpenAI's Whisper Large V3 Turbo to handle English-Hebrew code-switching—and built a model that outperforms every commercial ASR solution tested, including OpenAI's own API.
Why MCP Is the Missing Piece for AI Agents
The Model Context Protocol is quietly becoming the standard for connecting AI systems to real-world tools and data. Here's why it matters for enterprise automation and what it means for agentic pipelines.
Building Multi-Agent Orchestration Systems
From single-purpose chatbots to coordinated agent networks—practical lessons from designing and deploying 70+ AI agent projects across research automation, competitive intelligence, and content production.
Voice Tech and the Future of Human-AI Interaction
Speech recognition, voice cloning, and TTS are converging to create entirely new interaction paradigms. A look at what's working now and where voice-first AI workflows are headed.
The Case for Personal Context in RAG Pipelines
Standard RAG retrieves from documents. But what if the most valuable context is personal—preferences, history, working patterns? Exploring proactive context generation for hyper-personalized AI.
Published Elsewhere
Daniel writes regularly about AI, automation, and technology across multiple platforms
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