Every vendor on Earth just discovered AI agents. Huawei launched AgentArts. Google Cloud published "AI Agent Trends 2026." Salesforce has "Agentforce." ServiceNow has "AI Agents." Microsoft has "Copilot Agents." The word "agent" has been drained of all meaning, like "cloud" in 2012 or "blockchain" in 2018. I build AI agent infrastructure. I'm working on Sigil Protocol -- an open protocol for agent identity, ownership verification, and reputation. I use Claude Code daily. I orchestrate real autonomous workflows across multiple projects. So when Huawei's AgentArts "cuts agent delivery time by 60%," I have one question: delivery time of WHAT, exactly? THE IF-ELSE TEST If your "AI agent" can be described as: classify input, then route to predetermined workflow -- it's not an agent. It's a router. A switch statement with an LLM doing the case matching. Calling it an "agent" is like calling a thermostat "intelligent" because it makes decisions based on temperature. AN ACTUAL AGENT has goals, makes plans, takes actions, observes results, and adjusts. It can fail at step 3 of 7 and figure out an alternative. It can decide it needs information it wasn't given and go get it. It has a LOOP, not a pipeline. Most enterprise "agents" are pipelines with LLM nodes. They're selling WORKFLOWS and calling them AGENTS because the word tests better in buyer surveys. WHAT REAL AGENT ARCHITECTURE LOOKS LIKE A real agent has a core loop: Observe, Think, Act, repeat. It doesn't know ahead of time how many iterations it needs. Claude Code does this -- you give it a task, it reads files, runs commands, hits errors, adjusts, tries again. That's an agent. Your enterprise "agent" that routes support tickets to the right department? That's a two-step pipeline with a marketing budget. Real agents use tool selection WITH JUDGMENT -- deciding which tools to use, when to use them, and whether results are good enough. Workflows are O(n). Agents are O(who knows). The unpredictability IS the feature. THE MEMORY PROBLEM Most "agents" are stateless functions. They have the memory of a goldfish on a serverless function -- born, execute, die, repeat. No context across interactions. No learning from previous runs. No accumulated knowledge. A real agent remembers what it tried, what worked, what failed. It builds a model of its environment over time. These enterprise "agents" can't remember what they did five minutes ago because they weren't designed to. They were designed to process a request and return a response. That's a function, not an agent. THE IDENTITY PROBLEM NO ONE TALKS ABOUT When agents become real -- actually autonomous, actually taking actions -- how do you know who's responsible? Who built this agent? Who deployed it? What has it done before? Can I trust it? Nobody in the "agents eating the world" discourse talks about this. They're too busy writing press releases. Sigil Protocol solves this. Cryptographic identity for agents. Verifiable ownership chains. Reputation based on actual behavior, not marketing claims. Because when your "agent" makes a decision that costs money or affects people, someone needs to be accountable. And "the AI did it" isn't an answer. WHY ENTERPRISE LOVES THE WORD "AGENT" Because "workflow automation" is a 30 dollar per month product and "AI agent" is a 30,000 dollar per year platform. Same functionality. Different PowerPoint deck. This is the same thing that was sold as RPA in 2020, "intelligent automation" in 2022, "AI-powered workflows" in 2024, and now "AI agents" in 2026. The architecture barely changed. The pricing tripled. THE REAL AGENTS ARE QUIET Claude Code and coding assistants that autonomously navigate codebases, run tests, fix bugs, iterate. Research assistants that formulate queries, read papers, synthesize findings, identify gaps, search again. Trading systems that observe markets, form hypotheses, test strategies, adapt. These are real agents. They're hard to build. They fail a lot. They're expensive to run. They don't have catchy names or enterprise pricing tiers. Enterprise vendors don't want hard, expensive, and failure-prone. They want easy, scalable, and transformative. So they took the word "agent" and bolted it onto the same workflow engines they've been selling for a decade. 2026 is NOT "the year of agents." It's the year the word "agent" becomes completely meaningless. Build real agents or build real workflows. Just pick one and be honest about which one you chose.