Hammad Abbasi | AI & Security Architect | Engineering Leader

Agent OrchestrationMar 13, 2026•15 min read

The Future of Agents Is Outcome Coordination (Part — II)

Why the next layer of the agent stack will be built on commitments, not orchestration. In the first article, I argued that the current agent stack is solving the wrong problem. We keep trying to make probabilistic systems behave like software operators: calling tools, clicking interfaces, stitching workflows, and carrying the full burden of execution.

BlockchainSoftware ArchitectureLarge Language ModelsAI AgentsDistributed Systems

Agent OrchestrationMar 11, 2026•12 min read

The Future of Agents Is Outcome Coordination

Why the next layer of the agent stack will be built on commitments, not orchestration. I've spent a lot of time looking at the current wave of agent infrastructure, and the same feeling keeps coming back: we are making real progress, but in a strangely sideways way.

Large Language ModelsSoftware EngineeringAI Agents

AI & IndustryFeb 24, 2026•10 min read

The Future of Work Isn't Extinction. It's a Shift Up the Ladder.

The AI conversation has split into camps. The hype camp is loud and simple: every new demo is the end. Engineers are done. SaaS is done. The denier camp is also loud, just in the opposite direction: it's a bubble, it hallucinates, it can't reason.

Future of WorkArtificial IntelligenceProductivityAutomationJobs

AI & SocietyFeb 11, 2026•7 min read

The Productivity Paradox: The Quiet Way AI Agents Make Your Life Less Yours

Everyone's racing to hand life over to agents. "Book my flights. Reorder my essentials. Find me the best version of X." And I get it. I love saving time as much as anyone. But here's the weird part: the closer we get to "perfect automation," the more I don't want an AI agent doing my online shopping.

Artificial IntelligencePsychologyProductivityAI Agents

Enterprise ArchitectureJan 24, 2026•14 min read

What Pulling Espresso Taught Me About Building Enterprise AI Agents

I got into espresso a while back, and the thing that struck me early on is that it's equal parts science and art. There's no single magic setting. It's a system of variables and they all interact. But the one variable that governs everything else? Grind size.

AI AgentsSoftware ArchitectureLarge Language Models

Agent OrchestrationJan 11, 2026•9 min read

You don't need an AI Agent

Build for Failure Before You Build for Intelligence. Most teams building agentic systems are working backwards. They start with a capability like agents, autonomy, or "AI that thinks," then go hunting for a problem big enough to justify it.