Technical deep-dives, AI strategy, and engineering perspectives from the team building autonomous systems.
PagedAttention is the memory management algorithm that separates production-grade LLM serving from everything else. For e-commerce teams running AI chatbots at scale, understanding how it works is not academic. It is what determines whether your infrastructure cost is sustainable or catastrophic.
AI agents are moving from demo to production, and open source models have caught up enough to power most of the agentic workflows mid market brands actually need. The architecture patterns are different from simple prompt and response. Here's how to build them right.
The assumption that proprietary models always win is expensive and increasingly wrong. For specific ecommerce workloads like product classification, review summarization, and search query understanding, fine tuned open source models deliver better results at a fraction of the cost.
Perplexity's new computer use feature controls your GUI. Claude Code works inside your codebase. These are fundamentally different approaches to AI-assisted development — and the difference matters more than most people think.
OpenClaw got everyone excited about AI agents. But the ecosystem it created, community MCP servers, third party plugins, unaudited code running on your own services, is a different conversation.
How agentic AI is transforming ERP from a system of record into a system of action and what that means for operations teams.
What your commerce infrastructure needs to look like when agents, not humans, are making operational decisions.
A practical framework for identifying where AI creates the most leverage in your operations, before you write a single line of code.
Why chatbots and agentic AI are fundamentally different and why the architectural difference determines what's possible.
Not all digital strategy advisors are created equal. Here's how to separate the genuinely valuable from the expensive noise.