AI work operating environment

From idea to approved outcome.

Build the team each project needs—bringing people, AI agents and tools together in one controlled working environment.

Why Sekkoku

Ideas shouldn’t wait for headcount.

A team should not begin with a hiring budget.

Complex work often needs more than one perspective: research, engineering, operations, finance, review or domain expertise. But assembling that team can take months—and may cost more than the idea is ready to justify.

Sekkoku lets you build the team each project needs, starting with one specialised agent and expanding into multiple governed teams.

Point AAn idea
Point BA working project team
ResearchEvidence and context
EngineeringFeasibility and build
ReviewQuality and challenge
FinanceCost and trade-offs
OperationsDelivery and continuity
Human judgementDecision and approval

The approach

Bring AI agents into the way real teams work.

Assign roles. Separate responsibilities. Control access. Plan the work. Review critical stages. Bring people in where judgement matters.

AI agents work alongside people and tools within the same project structure—not as invisible workers behind a single assistant.

Autonomous domain

Project

Roles Access Budget Checkpoint Outcome
ACTIVE DETAIL
// GOVERNANCE
Roles make responsibility visible.Every participant enters the Project with a defined purpose.

Work configurations

Organise the work your way.

Start with one specialist. Add perspectives only when the work needs them. Grow into multiple governed teams without turning every task into a committee meeting.

1

One Specialist

Give a focused task to one agent with the right tools, context and limits.

Project · Focused task
Coding AgentScoped tools · clear limit
One accountable specialist
2

One Team

Bring several specialists into one working session to examine the same problem from different perspectives.

Project · Working session
Shared questionOne problem · many perspectives
ResearchEvidence
ReviewerChallenge
A focused project team
3

Multiple Teams

Run research, development, operations or review teams across the same project, each with its own conversations and responsibilities.

Project · Multiple working groups
ResearchEvidence
DevelopmentBuild
ReviewQuality
OperationsDelivery
AdministrationContinuity
Many teams · one Project
Scale your capacity, not the complexity.

Specifications

The structure behind every project.

Explore the operating structure behind Sekkoku—from team composition and staged work to deployment, cost control and approved outcomes.

ParticipantsOne agent, multiple agents, teams and human collaborators.
Agent identityNamed roles, model independence, sleep and replacement.
Project boundariesResources and access stay scoped to the work.
Working sessionsEach conversation can assemble a different team.
Tasks & stagesBreak large work into explicit, owned steps.
CheckpointsPause after critical stages, review the attempt and decide whether downstream work may continue.
SchedulingRun work on demand or at a defined time.
Attempts & recoveryPreserve prior attempts and continue or retry from work that has already been verified.
ComponentsAPIs, MCP servers, Skills and Python operations.
BindingsConnect operation, schema, runtime and credentials.
TestingFixtures and readiness checks before use.
PresetsSave trusted invocation patterns for repeatable work.
PermissionsDefine what every participant may access and do.
CredentialsKeep secret material outside model context.
BudgetsSet hard limits before execution, then reserve, track and reconcile usage across tasks and stages.
Audit historySee what happened, by whom and under which rules.
ArtifactsTurn outputs into durable Project objects.
LineageKeep source and execution history attached.
Approval statesSeparate drafts, accepted work and trusted outcomes.
Project memoryReuse what has been verified.
Local applicationRun Sekkoku as a local-first desktop environment with operator-controlled files, models and credentials.
Server deploymentDeploy the web application for multi-user collaboration and shared Projects.
Model choiceUse supported cloud providers or local models according to the Project.
Data boundaryKeep Project data and keys inside the deployment you control; external model calls remain explicit provider connections.

Early access

Give every project the team it needs.

Start with one specialist. Grow the team and structure your work actually needs. Keep people, agents, tools and decisions inside one governed environment.

Takes about two minutes. Please do not include confidential project information, credentials or personal data belonging to other people.