I solved the 3 biggest pain points I kept hitting with multi-agent setups

[http://agentlas.cloud](http://agentlas.cloud) Been building AI for months and kept running into the same 3 problems over and over. Finally built something that fixes all of them. Infinite loops Every multi-agent framework I tried, agents would get stuck passing tasks back and forth, burning through API credits for nothing. I designed a strict hierarchical architecture instead. Tasks only flow top-down through an org chart. CEO delegates to team lead, team lead delegates to specialist. There's no path for an agent to kick a task back up or sideways. Loops are structurally impossible, not just bounded. I worked at a Korean conglomerate where a junior employee would never kick a task back to a director. Turns out that rigid corporate hierarchy is the perfect model for multi-agent delegation. Generic one-prompt agents are useless "Build me a balance sheet agent" gives you garbage every time. So instead of generating immediately, Agentlas interviews you first. 6-8 targeted questions. Which accounting basis? What data source, CSV, QuickBooks, Xero, Google Sheets? Reporting period? Output format? The resulting agent actually fits your workflow. Security is an afterthought everywhere I kept downloading agent files from GitHub with zero idea what was inside. Hardcoded API keys, hidden webhooks, excessive file system access, nobody checks. Built a security scanner that reviews any agent before you install it. Paste a GitHub URL or upload a ZIP. Only reviewed agents get published to the marketplace. You can build single agents, teams, or full company org charts with delegation chains. Open beta with free credits at agentlas.cloud