Coding operating environments (execution OS)
Codex-like and Claude Code-like systems give LLMs repositories, shells, tests, worktrees, pull requests, and review loops. They help AI modify and execute code.
Execution plane vs Responsibility plane
Coding environments and agent runtimes expand execution. E2C is the Responsibility Operating System that governs what generated state may become operational reality.
Agent runtimes (execution OS)
Workflow agents and tool-connected runtimes turn intent into action across connectors and systems.
E2C Responsibility OS
E2C gives AI-native systems the operating environment after execution and before reality. It does not only evaluate outcomes. It runs responsibility state transitions: source-bounded state, runtime-governed capability, ledger-admitted transitions, validation / authorization, feedback / resume routing, and release / hold / block readiness.
Execution environments make AI do work. E2C decides what AI work can enter reality — and runs the state machine that proves it.
Latest operating model
- Execution OS — helps AI do work
- Admission OS — decides whether work may enter reality
- Responsibility OS — runs the state transitions that make admission operational
E2C is evolving from admission OS language into responsibility OS runtime: models propose, agents execute, E2C admits and runs responsibility state.
Boundary
Cursor / Claude Code / Codex can act as bounded implementation workers. They may start a runner or generate candidates. They cannot be runtime authority, ledger authority, resume authority, release authority, or dispatch authority.