- 21 JUL
The Illusion of Autonomy: Why Real AI Agents Are Not Digital Employees, but a Coordination Layer
A successful AI agent in production is not an autonomous digital employee, but a coordination layer between people, systems, and rules.
#ai-agents#coordination#enterprise#automation#production - 1 JUL
Specification and simple architecture are more important than codeNote
#architecture#specification#metrics - 29 APR
Building an AI Agent Team: Roles, Feedback, and Collaboration
A detailed look at how to build an AI agent team with distributed roles and resilient feedback loops.
#ai-agents#architecture - 25 APR
The Most Important Skill
Professionalism is defined not by stack or certificates but by the ability to take a real problem and bring it to a working solution.
#career#growth - 20 APR
7 Key Skills for Building Reliable AI Agents
A practical breakdown of skills that turn ordinary prompting into an engineering approach to building resilient agentic systems.
#ai#agents#engineering - 31 MAR
A Human Strategy in the Age of AINote
#ai#notes - 3 MAR
Levels of Responsibility in a Team—Who Is Your Real Asset
Leadership is not control. It is the ability to grow people who can act without you.
#manage#teams - 28 FEB
Do We Still Need RAG?
Choosing the best approach for large language models.
#llm#rag#context - 22 FEB
Context Engineering in LLMs
A breakdown of what context engineering is and how it works.
#ai-coding#llm#context - 15 FEB
EVERY — 15 People. 6 Businesses. 99% AI-Written Code
How 15 people run six businesses with AI agents writing 99% of the code.
#every#ai-coding#people - 1 FEB
Five Key Components of Product Teams
How to turn execution-focused engineers into proactive product co-creators.
#teams#manage#people - 11 JAN
How AI Agents Will Change in 2026
Three key shifts that are already underway.
#agents#future#ai