A shared language.
A solid place to start.
Understand the model behind Entergenie, then build a workflow with clear ownership, scoped access, and a result you can verify.
Getting started
Start with one useful task, one accountable owner, and a clearly defined boundary.
Explore guideUI, CLI & Terraform
Choose guided setup, terminal workflows, or configuration as code while using the same workspace and permissions.
Explore guideCore model
The building blocks of work in Entergenie, from agents and tasks to policies and guardrails.
Explore guideIdentity & authority
Understand who grants authority, what an agent may do, and how access applies to a session.
Explore guideResponsibility & ownership
Explicit human accountability for agents, tasks, the platform, and shared capabilities.
Explore guideDeployment & data ownership
Keep ownership of your data. Run your own agent VMs and connections in your VPC, with a cloud platform for coordination.
Explore guideSSH into sessions & VMs
Connect to an authorized session VM over SSH, verify host identity, and reconnect within the session’s access boundary.
Explore guideCustom agent images
Build and supply your own VM or container images with the tools your agents need, while preserving the runtime contract.
Explore guideBuild connections
Give agents useful tools while keeping authentication and access controls outside the model.
Explore guideBring your own LLM
Use your own provider credentials, choose models by workload, and set clear cost boundaries.
Explore guidePolicies & guardrails
Bound autonomy with enforceable rules, then verify the quality of the work.
Explore guideStandards & portability
How shared industry protocols and foundation-governed specifications help keep components replaceable.
Explore guidePlatform principles
Ten principles for building an AI platform that fits how businesses actually work.
Explore guide