If humans can only be trusted within limits, and even then fail, why are we scared about AI and not the organizations and the people that are working with it?
ORACE is a five-question framework designed to fix this. It gives architects and engineers a structured way to document a system's architecture, not as a picture of the technology, but as a traceable chain from business goals to production evidence. The resulting artifact set is equally readable by a new engineer, a compliance officer, and an AI coding agent.
An examination of what Anthropic’s new cloud-first Cowork model means for local files, persistent Memory, retention, and the information users may want to keep out of AI workflows.
AI coding systems are becoming incredibly powerful, but they need real engineering for seeing the light of real production environments
It's been quite a while I wanted to build a system to store my knowledge base, process it and retrieve it when need it from wherever I need it
The internet can often feel overwhelming and, at times, intimidating. One significant reason for this is the sheer number of individuals who feel empowered to express themselves behind a screen, often without considering the impact of their words. This anonymity can foster a culture of negativity, misinformation, and even harassment.
A blog based on AI automations to allow seamless integration with my very busy life
How to not fall into the trap of easy PoCs and the idea that it is so easy to build AI systems or workflows