A 14-Day AI Workflow Trial That Measures More Than Speed
The human reason this challenge may be worth trying is simple. In a fast-moving team, the lure of speed can drown out what matters: truth, taste, and purpose. I want to test a tiny, bounded
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What Makes an AI Agent Autonomous, and Who Still Owns Its Actions?
I’ve watched a striking demo and learned this: autonomy in an AI agent isn’t a magic wand. It’s a bundle of choices, permissions, and governance that lives inside a real enterprise. It’s a c
Why Human-in-the-Loop Must Mean More Than an Approval Button
I start with the claim the demo-makers want you to trust: human review will keep automation from turning into a catastrophe. The human reason it matters is simple and stubborn: a reviewer is
8 Building Blocks of a Reliable AI Agent
The pressure is real after the demo: a tiny spark of wow, then the cold wake of real users, real data, and real deadlines. We’re deciding in real time what to trust, what to stop, and how to
The Autonomous Finance Agent Claim: What Must Stay Under Human Control?
I start with a claim I hear a lot: autonomous finance agents can "execute faster, cheaper, and more consistently" than humans. The human reason it matters is simple and stubborn: money trave
Function Calling, Tool Use, and Memory: How an AI Agent Gets Work Done
I’m Maya Chen. I’m thirty-nine, a software engineering manager in Seattle, and I’ve spent years turning flashy demos into dependable systems. Deadlines land like bricks. Edge cases arrive br
How Should AI Agents Be Benchmarked?
I’ve watched a lot of demos turn into trains with broken tracks. The first version of an AI agent looks fast, confident, and satisfying. Then production arrives with latency spikes, edge cas
Comparing Enterprise AI Agent Platforms Without Believing the Demo
I write this as a data-conscious note for teams weighing a leap into autonomous agents. My approach is simple: treat the demo as what it is. A curated moment. The real work happens after, wh
Connecting AI Agents to ERP and HR Systems Without Losing Control
I write from a place of caution. I am 43, in Boston, and I know the feeling of pressure that makes us shortcut for the sake of speed. A data leak can start with a simple paste. The bigger ri
The Audit Trail an Autonomous Agent Must Leave Behind
I feel the pressure. A line of action taken by an unseen helper can look clean on a screen, but it can haunt a human later. The urge to defend a mistake wars with the need to admit it. The h
Designing Automation Around the People Who Handle Exceptions
I start with the pressure I hear in the queue. A person asks for help, and the system hands back ambiguity. Grief, anger, and long lines ride along. Hope sits in a design that keeps ownershi