Product news and engineering notes from the team building endue.
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 good model is half of an agent. The other half is the harness: the machine it runs on, what it may touch, and where its work goes. Four conditions to check before agents do real work, and a checklist to start with.
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 practical permissions checklist for AI agents: separate reading from sending, review sensitive actions, and learn how to stop scheduled work.
Compare October 2026 subscription prices and working styles, then use a simple task trial to choose an AI for writing, research, spreadsheets, or coding.
A beginner’s guide to dots and Muse: access conditions, useful first tasks, permission settings, and a practical way to evaluate your first week.
Evaluate coding agents with the same task, acceptance criteria, review time, and cost per successful result. Includes a reusable task prompt and recording table.
Collect recent news, remove duplicates, retrieve original sources, and save a reviewable blog draft. A practical guide with prompts, failure handling, and cost controls.