Agents Ontology by TimelineOS

Build an AI workforce you can identify, govern and trust.

Agents Ontology gives each AI team member a role, purpose, authority, Agenda, history and relationship to the business it serves.

TimelineOS Agents workspace showing Max and the AI team
Explain yourself once
Know what changed
Stay in control
See the evidence
Grow deliberately

AI agents should feel like understandable team members

Business owners should not have to manage models, tools, prompts and software frameworks. They should understand who is helping, what their role is and what they are allowed to do.

Clear role

A job that can be explained in normal business language.

Clear responsibilities

The owner can see what work the agent performs.

Clear limits

The owner understands what the agent cannot do.

Clear authority

Important decisions remain subject to approval.

Clear history

The business can see what the agent has done over time.

Clear evidence

Actions and recommendations link back to relevant information.

Clear accountability

Every task, result or decision identifies the responsible agent.

Beyond the all-purpose chatbot.

General-purpose chatbots are hard to govern. They can do anything, which means you have to watch them do everything. TimelineOS uses a structured organization instead.

  • The Old WayOne massive prompt. Unpredictable outputs. No memory of past mistakes. Hard to trust with real work.
  • The TimelineOS WaySpecific agents for specific jobs. Narrow authority. Clear agendas. Verifiable action receipts.
M
Max
Lead Business Liaison
C
Creator
Workforce Builder
S
Specialist
Bookkeeper Agent

The Core AI Team

The foundational agents that come with your TimelineOS environment.

M

Max

Lead Business Liaison

Your single point of contact. Max reads your Story, understands your Time, and coordinates the rest of the AI team on your behalf.

C

Creator

Workforce Builder

When you need a new workflow or a new specialist agent, Creator builds it for you. It writes the code and defines the new agent's Resume.

Specialist Agents

Dedicated agents you hire for specific, narrow jobs like bookkeeping or outbound sales.

Meet Max

One central AI relationship for the whole business. Max provides one place to ask questions, understand the business and coordinate work.

Max Brain

The persistent memory and reasoning layer behind the conversation, drawing from Story, Time, connected accounts, decisions and agent actions.

Understands the owner
Understands the business
Understands time
Coordinates the team

Need another agent? Ask the Creator.

Creator turns a business need into a specialised AI role with visible access, limits and approval rules.

Booking Follow-up Agent
Draft-only permission
Customer list access
Booking status access
Human approval required
Reports through Max

Agent creation should feel like hiring and briefing a team member—not configuring a software framework.

AgentResume.dev

v1.0.0-draft
IdentityBookkeeper_Agt
ProviderFinOps_AI
CapabilitiesRead_Tx, Write_Ledger
Cost_ModelPer_Transaction
Data_Retention30_Days
DependenciesPlaid_API
VerificationSigned_Hash

Agent Resumes

Before you hire a human, you read their resume. AI should be no different.

We are developing an open standard for Agent Resumes. It defines exactly what an agent can do, what data it needs, how much it costs, and what its limits are. Max reads the resume and interviews the agent before proposing you hire it.

The resume keeps growing. Dates, role changes, new capabilities, completed tasks, approvals, corrections, failures and successful outcomes become a record of what the agent has actually done over time.

Developer direction only

Easier trust

Owners can see what the agent is meant to do.

Better selection

Businesses can compare agents using a common format.

Clearer permissions

Access and authority remain visible.

Work history

Past activity becomes part of the agent's record.

Better accountability

Actions connect to the responsible agent.

Easier handover

New owners, managers or developers can understand the existing AI team.

Lifecycle Governance

Agents are employees, not apps. You manage them through a predictable lifecycle.

Proposed
Interviewed
Introduced
Hired
Working
Paused
Reassigned
Deactivated
Retired