A colleague is an AI teammate. You give them a name, a role, and access to the tools you use. They do work for you across all of those tools — drafting emails, updating CRMs, building reports, watching for things you care about. Each colleague owns one role. Sofia might run sales operations. Max might handle customer support. Aria might do meeting intelligence. The same way you’d hire a person for a function, you create a colleague for it.Documentation Index
Fetch the complete documentation index at: https://docs.eluu.ai/llms.txt
Use this file to discover all available pages before exploring further.
How tightly to scope them
How focused a colleague should be depends on the size of the work. There’s no rule — just pick what makes sense:- Small team or solo: one colleague does a whole function. A “sales colleague” handles prospecting, outreach, pipeline, and reporting.
- Bigger teams: split functions into focused colleagues. One does outbound prospecting. Another does renewals. Another does meeting notes.
What each colleague replaces
A single Eluu colleague can replace what you’d otherwise buy as a focused AI SaaS product:- A sales colleague does what specialised sales-AI products do.
- A customer support colleague does what an AI inbox-triage product does.
- A meeting-intelligence colleague does what a meeting-notes product does.
- A research colleague does what a research-AI product does.
What you can give them
When you create a colleague, you set:- Identity — name, role, photo, who can use them (just you, or your whole team).
- Personality — how they talk and how they refuse.
- Skills — packaged workflows you import or write.
- Custom commands — slash commands like
/morning-briefthey run on demand. - Integrations — which tools they can use, and whether each tool runs automatically or asks you first.
- Memory — files and notes that build up over time. They get sharper the longer you work with them.
Personal or Shared
Each colleague is either yours alone or Shared with your team. Personal colleagues are good for experiments and individual workflows. Shared colleagues are how the team gets value at scale — once Sofia is good at running pipeline reviews, everyone benefits.Where to next
The hard disk
Where each colleague’s memory lives.
Build a colleague
Step through the configuration.