Category: AI
-
Dashboards Will Become the Consistency Layer. AI Will Become the Decision Layer.
Dashboards are not going away, but their role is changing. AI will increasingly become the layer for interpretation, exploration, and action while dashboards remain the consistency layer.
-
The Hidden Advantage of Personal Agents Is Not Automation
The real advantage of personal agents is not chore automation. It is training a system that learns your judgment, uses reliable skills, and becomes a better extension of how you think and work.
-
AI Coding Agents Created the AI Vampire
AI coding agents do not always reduce workload. They can expand ambition, compress execution, and create a new challenge for teams: turning AI speed into sustainable progress.
-
AI Is Not Coming for Your Job. It Is Coming for the Old Version of Your Job.
AI is not just a replacement engine. It is a role compression engine. The future of work is not only about jobs lost or saved, but jobs redesigned around judgment, context, trust, and accountability.
-
Forward Deployed Engineers Prove AI Adoption Is an Organizational Change Problem
Forward deployed engineers are a sign that AI products are not self-implementing. Real enterprise AI value requires technical depth, business strategy, workflow redesign, governance, adoption, and organizational change.
-
AI’s Biggest Fear Is Not Unemployment. It Is Irrelevance.
The deeper fear around AI is not only job loss. It is role absence: the loss of responsibility, usefulness, identity, and purpose as intelligence becomes abundant.
-
The PocketOS Database Deletion Was Not an AI Failure
The PocketOS incident is not a reason to stop using AI agents. It is a warning that agentic AI needs real governance: least-privilege access, approval gates, audit logs, rollback plans, and guardrails built into the operating model.
-
The Most Powerful AI Agents Won’t Have a UI
The next wave of AI is not just chatbots and sidebars. The most powerful agents will be headless systems operating at the logic layer: APIs, databases, events, workflows, and governance.
-
Most AI Strategy Is Expensive Theater
AI strategy fails when companies bolt tools onto broken workflows. Real AI advantage comes from changing one measurable workflow, defining the dollar outcome, building guardrails, and instrumenting the system.
-
AI Is a Skill, Not a Feature
Giving everyone AI tools is not enough. Real productivity gains come from training people how to use AI, redesigning workflows, and building organizational learning capability.