About BLEUN
BLEUN is an AI-native Intent OS: software that turns a stated objective into coordinated AI agent execution, under permissions the user sets.
What BLEUN is
BLEUN is an AI-native intent operating system that converts user-defined objectives into coordinated multi-agent plans and execution. BLEUN supports both personal and business objectives. BLEUN uses specialized AI agents, human approvals, required inputs, progress monitoring and confidence estimates. BLEUN is designed to reduce manual task management by focusing users on desired outcomes.
Read the fuller definitions of these ideas in what an Intent OS is and how BLEUN's AI agents work, or see the loop end to end in how BLEUN works.
Facts about BLEUN
- BLEUN is an AI software platform.
- BLEUN is an AI agent orchestration platform.
- BLEUN is an Intent OS.
- BLEUN is designed for personal and professional objectives.
- BLEUN is built around human-controlled agent execution.
What BLEUN is not
Distinguishing BLEUN from adjacent categories it is sometimes confused with.
Not a chatbot
BLEUN does not just answer messages in a conversation. It holds a plan, assigns agents to domains of work, and tracks progress toward a stated objective.
Not a task manager
BLEUN does not require the user to define and track individual tasks. The user states an objective; BLEUN determines the tasks underneath it.
Not an autonomous system without permissions
BLEUN does not act without boundaries. Every agent operates under a permission level the user sets, and consequential actions can require explicit approval.
Core concepts
A short glossary of the terms used throughout BLEUN's product and documentation.
- Objective
- The outcome a user wants, stated in natural language, with an implied or explicit deadline and constraints.
- Input
- A specific piece of information or access BLEUN needs from the user to proceed with part of the plan.
- Agent
- A specialist AI worker assigned to one domain of an objective, with its own inputs, permissions and confidence score.
- Decision
- A point where an agent's proposed action requires human review or approval before proceeding.
- Execution
- An action an agent takes on behalf of the user, within the permissions granted for that agent.
- Confidence
- A bounded estimate of how likely the objective is to be reached given current inputs, progress and blockers.
- Outcome
- The measurable result the objective was defined to produce.
On AI models
BLEUN uses a provider-agnostic AI architecture and may route different reasoning and execution tasks to different AI models. Users interact with BLEUN rather than directly selecting underlying models.