NLNexius Labsinnexiuslabs.hashnode.dev·Aug 13 · 8 min readControlled Execution: A Security Model for AI AgentsEvery agent deployment has an authority boundary, whether the team designed it or inherited it by accident. The practical security work is to make that boundary narrow, visible and reversible. Reading10
NLNexius Labsinnexiuslabs.hashnode.dev·Aug 10 · 5 min readDesigning a One-Person AI Company as a Human-Agent SystemThe smallest useful org chart for an AI-native company may contain one human and several specialised agents. The human still owns the company’s promises, permissions, review standards, and response to00
NLNexius Labsinnexiuslabs.hashnode.dev·Aug 9 · 7 min readHow to Package Work So AI Agents Can Execute It ReliablyCompanies are adding AI agents faster than they are redesigning work for them. Giving an agent access to email, documents, a CRM, and a task manager may create the appearance of capability. It does no00
NLNexius Labsinnexiuslabs.hashnode.dev·Aug 9 · 6 min readDesign Applications That AI Agents Can Operate SafelyIf your software cannot be used by your agents, it is not ready for the next operating model. Most companies still build software for one user: a human sitting in front of a screen. That made sense fo00
NLNexius Labsinnexiuslabs.hashnode.dev·Aug 9 · 7 min readWhy Undefined Agent Jobs Burn Tokens and BudgetModel prices matter, but the largest waste often starts before the first token is billed. Undefined jobs make agents read too much, retain stale context, retry without a new strategy and call expensiv00
