ai agents
Most teams evaluating AI agents in 2026 are not short on options but short on a framework that matches platforms to actual work shapes. The AI agent market has fractured fast, and what's being called "AI agents" now spans five distinct categories, and treating them as
comparisons
Key Takeaways * One AI agent for a whole team works the same way as one printer for a whole office, fine until two people need it at the same time, which happens on day one * Pazi is the only tool that makes team-wide AI genuinely parallel. Each function gets
ai agents
Most teams I talk to describe their AI setup as "running multiple agents" when they're actually running one agent with a long list of tools. The distinction sounds semantic until the operation gets complex enough that the single context window starts dropping things: wrong context, missed
education
Operations teams have 12 core workflows where AI agents replace manual coordination, triage, and reporting, from incident response to compliance prep. If you haven't automated at least half of these, you're spending engineering time on work that should run itself. TL;DR - AI agents handle incident