FAQ
BLEUN questions, answered.
Direct answers to the questions people ask most often about BLEUN, the Intent OS category, AI agents, execution, confidence and security.
Core concepts
- What is BLEUN?
- BLEUN is an AI-native Intent OS that turns stated objectives into coordinated AI agent execution.
- Instead of operating separate apps for each part of a goal, a user tells BLEUN what outcome they want. BLEUN decomposes that objective into domains, assigns specialist agents, executes approved actions and tracks confidence toward the outcome.
- What is an Intent OS?
- An Intent OS is software organized around a stated objective rather than a menu of screens and tasks.
- It interprets the objective, resolves missing inputs, decomposes the work into domains, orchestrates specialist AI agents, enforces permissions on their actions, and estimates confidence in reaching the outcome.
- What is an AI agent?
- An AI agent is a specialist worker assigned to one domain of an objective, with its own inputs, permissions and confidence score.
- Agents don't operate in isolation. BLEUN's orchestration layer sequences their work, reconciles overlapping information, and rolls up their individual progress into a single confidence estimate for the objective.
How BLEUN compares
- How is BLEUN different from ChatGPT?
- ChatGPT answers questions in a conversation. BLEUN holds a plan and coordinates agents to execute it.
- A general-purpose chat assistant responds message by message with no persistent plan. BLEUN keeps an objective as a standing unit of work, assigns domains to specialist agents, tracks progress and blockers over time, and can take permitted actions rather than only producing text.
- How is BLEUN different from a task manager?
- A task manager tracks tasks a person already defined. BLEUN determines the tasks from a stated objective.
- Task managers require the user to break a goal into a to-do list manually. BLEUN performs that decomposition itself, assigns the resulting work to agents, and reports progress against the original objective rather than against a checklist the user maintains.
Execution and permissions
- Can BLEUN execute actions?
- Yes, within the permissions granted to each agent for that objective.
- Agents can be limited to recommending, allowed to prepare drafts and materials for review, or authorized to execute certain actions directly. The permission level is set per agent and can be adjusted at any time.
- Does BLEUN require approval before taking actions?
- Consequential actions can require explicit human approval regardless of an agent's general permission level.
- BLEUN separates routine, low-risk actions from consequential ones such as sending a legal document, spending money, or contacting a third party. Users decide where that line sits for each agent and objective.
What BLEUN can manage
- Can BLEUN manage personal objectives?
- Yes. BLEUN supports personal objectives such as relocation, home search and job search.
- For a personal objective, BLEUN identifies the domains involved — for example immigration, housing and schooling in a relocation — and coordinates specialist agents across them under one plan.
- Can BLEUN manage business objectives?
- Yes. BLEUN supports business objectives such as hiring, revenue growth, market expansion and fundraising.
- Business objectives typically span multiple functions — outreach, research, scheduling, documentation — and BLEUN assigns and coordinates agents across those functions the same way it does for personal objectives.
Confidence, security and models
- How does BLEUN calculate confidence?
- Confidence is a bounded estimate based on clarity of the objective, available inputs, progress, blockers and time remaining.
- Each agent contributes a confidence score for its own domain. Those scores, combined with overall progress and outstanding blockers, roll up into a single estimate that is recalculated as the plan changes rather than fixed at the start.
- Is BLEUN secure?
- BLEUN applies permission controls, human approvals and access boundaries around agent actions and user data.
- Security practices, data handling and access control are documented in detail on the BLEUN security page rather than summarized here, so users can review the specifics that apply to their plan.
- Which AI models does BLEUN use?
- BLEUN uses a provider-agnostic AI architecture and may route tasks to different AI models depending on the work.
- Users interact with BLEUN rather than directly selecting underlying models. This lets BLEUN choose the most suitable model for a given reasoning or execution task without exposing that choice as a setting users need to manage.