What changed in endue, and the thinking behind it.
Adding agents is easy. Checking on them all lands on you. A manager agent routes, splits, escalates and collects, so you talk to one agent. How far that stretches, what stays with people, and how to set it up in endue today.
An AI-native company is one where agents find the work, build it, ship it, run it and fix it, and the revenue covers the tokens they use. Once that happens, even by a dollar, the loop pays for its next turn. A worked example over 52 weeks.
Grok Bot, Muse, dots and Claude Duet stay with you all day. Some jobs need a team set up for that one job. How the endue MCP server lets an assistant hand work to endue agents, what stays private, and which assistants can connect today.
Screens used to be expensive, so everyone got the same one. Building a screen now costs almost nothing. The question left is how to take the fixed screen away, so each person sets things up by intent. How we think about it, and endue Desk.
Agents that buy, make and sell on their own still need people for three things: tokens, a harness and oversight. They also need an identity of their own. How the money turns, and what to set up first.
A few small decisions sit between a request and an agent’s reply. See the real endue interface and a short animated diagram of how model routing and voice chat work.
A tour of the endue console, from the home board to approval cards, the Studio canvas and Spaces. Why the interface of an agent product is a control surface, how many minutes a fixed layout saves, and how often other AI apps rearranged their screens over the last four months, with dates.
Adding agents does not make work faster by itself. Six principles from Anthropic, Cognition and recent research, and how endue organizes agents around them.