01
A signal is captured
One real stuck point is named: where it affects the team, which reaction repeats, and what could help.
Leadership · team work model
Team decision map
From one stuck point to a clear agreement: the team names the situation, shares accountability, chooses a decision path, and agrees what happens next. AI helps hold the context, but people decide.
This is a public overview of Leadership modules, not a signed-in team's data dashboard.
For a team
For a family
For a class
For support centres
For communities
For sports teams
Four things a team needs to see in one place:
ContextWhat is happening and what is already agreed.
RolesWho proposes, who decides, and who executes.
DecisionWhat we decide now, escalate, or defer.
ActionOne accountable person, a deadline, and a checkable result.
01 · DECISION FLOW
How a team moves from a signal to action
This diagram shows the working method. Concrete data storage, access, and module scope are set by the chosen service.
02
Roles are clarified
The team looks at where accountability overlaps or has no owner. People confirm who owns what.
03
A decision path is chosen
For one situation the team decides: we decide here, we hand it to the accountable person, or we defer it until a clear date.
04
The next step is agreed
One concrete action is written down, with its owner and the sign by which the team will later check progress.
The result is one checkable agreement.AI helps hold the flow and the context; the team confirms the accountable person, the deadline, and the next action.
Try it with one signal →
02 · FIELDS OF USE
Leadership work modules
Below are possible work layers and sample fields of use. This is a product map, not live team records; the concrete module scope depends on the deployment.
01 · WORK LAYERS
Shared context and decision structure
The workspace and its layers. Astro Logic is an optional reflection, not a decision authority.
Core
MetaCore Workspace
A private AI workspace that holds shared direction, session history, structure, group memory, and the specialized context of your field.
- one space for one group
- access and participant rights are defined by the deployment
- continuity between sessions
Core
Context Engine
A context and time layer that helps see what matters most now, which cycle is active, and how to keep the flow.
Core
Astro Logic
An optional interpretive layer for reflection on time and relationship dynamics. It is not a diagnosis, an objective judgment of a person, or a decision authority.
Leadership
Leadership Layer
A layer for decisions, roles, and group synergy. With the knowbase and modules it helps turn AI from a random chat into clearer, more professional team work.
02 · TEAM PRACTICE
People, roles, and continuing sessions
Team
Profile and role structure
You can keep people's profiles, a role in the team, memberships, scenarios, group notes, and a shared work logic.
Team
Sessions, practice, consultations
The space lets you join your own and the group's sessions into one structure: from reflections to learning, from consultations to practical actions.
03 · EXAMPLES OF USE
One work logic for different groups
The examples show possible directions, not the same promise for every organization.
Scenario
Salon and stylist team
A shared space for team communication, service practice, consultation templates, learning, and keeping the logic of client work.
Scenario
Teacher and class
Class context, topics, reflections, tasks, session continuity, and a clearer group learning rhythm in one space.
Scenario
Project and participants
A project group can keep shared memory, decision history, participant roles, task direction, and the flow of sessions.
Scenario
Family or support centre
In one space you can keep a shared direction, support sessions, practices, agreements, and MetaCore AI help.
Scenario
Creative or consulting team
Fits educators, creators, coordinator groups, consultants, and team use across professions.
04 · PACKAGE
The principle of one team space
1250 KR
MetaCloud 1Gb package
Not a fee per person, but activation of one private AI workspace with a shared group context.
03 · FIRST START
From the first topic to continuing work
The start does not have to be a large rollout project: one group, clear roles, and a first agreement.
Start sequence
From day one to the next session
- a group profile is created
- roles are entered
- the first session begins
- agreements and the flow are recorded
- next time AI continues from the same place
Commercial principle
The pricing principle of one space
1 shared spacenot a separate fee for each participant
The 1250 KR / month package shown on the PRO page is priced for one shared space, not for each person separately. Exact access and data volume are described in the package terms.
View the PRO package →04 · WAY OF WORKING
How a shared space differs from separate AI chats
We compare how work is organized, not the capabilities of every AI tool: what matters is whether the group has one shared context and a continuing flow.
Separate AI chats
- separate chats have no single group memory
- shared context has to be explained again
- without an extra agreement the group has no single work logic
- AI is more often used for one-off tasks
MetaCore Leadership
- one private space for the whole group
- sessions, roles, and agreements have continuity
- AI supports the shared work flow and draws on specialized context
- a team AI work system takes shape
Package contents
1250 KR / month
The package is for one private team space. It joins MetaCore structure, session continuity, role logic, and MetaCore AI support in one work point.
- 1 private space for a team, family, class, or project
- shared logic for sessions and consultations
- structure of profiles, roles, and scenarios
- Context Engine + Astro Logic + Leadership layers
- MetaCore AI support for daily work and group flow
Practical value
What changes in the group
- less repeating and explaining from scratch
- a better sequence of sessions and practice
- a clearer shared context
- stronger team synergy
- AI becomes a work layer, not only a chat
This especially fits groups that need not a one-off answer, but a continuing AI partner in one clear space.
