# Time Machine

> Time Machine is Organizational Learning Infrastructure: adaptive AI learning systems combined with
> hands-on enablement experts that continuously train teams, replicate top performers, and operationalize
> company expertise across an entire organization. Time Machine builds and operates the learning system for
> the customer - software, services, and operator expertise combined.

Time Machine exposes a public REST API and an MCP (Model Context Protocol) server so AI agents and
automations can drive the learning loop programmatically. Human capital and token capital compound inside a
learning system the company owns - you can swap the underlying model without losing the "company-veteran"
expertise encoded in your learning system.

## API & MCP

- [Training API & MCP for AI Agents](https://www.timeml.ai/ai-agent-training-api-mcp.html): How AI agents connect to Time Machine over REST and MCP to provision learners, build courses, run role-plays, certify skills, and read readiness/insights.
- [Interactive API docs (OpenAPI 3.1 / Swagger UI)](https://api.timeml.ai/api/v1/swagger-ui/index.html): Full request/response schemas for every endpoint.

### API facts
- Base URL: https://api.timeml.ai
- Endpoints under: /api/v1
- Spec: OpenAPI 3.1 at https://api.timeml.ai/api/v1/openapi.json
- Auth: HTTP bearer token. Issue a key in Company Settings → Integrations. Keys are prefixed `tml_live_`. Send header `Authorization: Bearer tml_live_<token>`.
- Access: REST API and MCP server (Claude, Claude Code, ChatGPT, Gemini, Cursor, and custom agent frameworks).

### Endpoint groups (18)
- Users: create, read, update, deactivate and reactivate team members.
- Departments: manage departments, create roles, assign users to roles.
- Courses: create, update, publish and role-assign company courses.
- Course Versions: read published version snapshots and their content.
- Course Modules: create, edit, reorder and delete modules inside a course.
- Course Topics: create, edit, reorder, move and delete topics inside modules.
- Learning Bytes: group lessons into learning bytes inside a topic.
- Lessons: create, edit and delete lessons inside a learning byte.
- Intros: short narrative shown before a module or topic.
- Exercises: AI role-play exercises - ILE_TEXT, RPE_VOICE and RPE_VIDEO.
- Quiz Questions: quiz questions attached to a module or topic.
- Lesson Questions: in-lesson knowledge checks (MULTIPLE_CHOICE or OPEN_ENDED).
- Demo Trainings: demo and application training videos, availability and reprocessing.
- Experts: list company AI experts, assign documents/roles, and ask synchronous questions.
- Documents: upload, replace, update and delete company documents.
- Media: manage company images and videos.
- Topic Documents: link and unlink documents to/from a topic.
- Certificates: read earned certificates and download their PDFs.
- Insights: company- and student-level learning insights, scorecards and activity events.

### Example use cases
- Headless onboarding: an automation (e.g. orchestrated by Claude Code) wires Time Machine into HRIS (NetSuite),
  CRM (Microsoft Dynamics), Office 365 and Power Automate. New hires are provisioned and enrolled automatically;
  weekly learning stats sync back to HRIS; new product docs trigger course and expert regeneration.
- AI-powered sales onboarding & coaching: a company's own AI agent connects over MCP/API to build personalized
  onboarding paths, monitor progress, assign remediation, certify readiness, and report time-to-productivity,
  certification progress, skill gaps and coaching priorities to managers.

## Company

- [Home](https://www.timeml.ai/): Organizational Learning Infrastructure for modern teams.
- [How It Works](https://www.timeml.ai/how-it-works.html): Software + operator expertise; the science (Bloom + DARPA) and how it is deployed.
- [Solutions](https://www.timeml.ai/solutions.html): For customer-facing teams, partner enablement and internal teams.
- [Customers](https://www.timeml.ai/customers.html): Customer stories and outcomes.
- [About](https://www.timeml.ai/about.html): Founders, investors and mission.
- [Trust & Security](https://www.timeml.ai/trust.html): SOC 2 Type II and security posture.
- [Contact](https://www.timeml.ai/contact.html): Get in touch. Sales: 949-416-5055.

## Optional
- [Privacy Policy](https://www.timeml.ai/privacy-policy.html)
- [Terms of Service](https://www.timeml.ai/terms-of-service.html)