Build on the ontology.
Twelve lessons. From first principles to running agents on your company graph.
The Ontology
01Dominir Platform Overview
An introduction to the Dominir platform — what it is, why it exists, and how it differs from existing enterprise tools.
02Search & Navigation
Master navigation in Dominir — the knowledge graph workspace where AI agents automate your world.
03Ontology Traversal & Algorithms
Master the control strip — depth sliders, BFS vs DFS, and formation presets that reshape your entire graph view.
04Data Model Overview
Everything in Dominir is an Instance with a Type from the ontology and schema-defined fields called petioles.
05Relations & The Knowledge Graph
Every link between instances is an edge in Dominir's live knowledge graph.
06Clearance Levels & Immutable History
Switch contexts without losing data. Clearance gates what you and agents can see.
07Practical Data Visualization
Dominir's connected views: Calendar (month/week/day), Timeline (chronological), Maps (geopoints), Monetary (in/out/net))
The Agents
08Agents App
Create Agent instances like any other data. Chat with them to query graph, run code, connect MCP servers for custom tools, fill AcroForm PDF templates with live data, manage artifacts/deliverables
09Automating Agents Using Pulse
Turn agents into always-on workers. Create CronTrigger or WebhookTrigger instances, assign agents, set schedule or public endpoint.
10Document Automation Using Agents
Live Python kernel connected to your graph. Execute code, charts, hydra queries. Vault organizes Artifacts + promoted Deliverables with previews. Versioned, clearance-gated.
The Access
