pre-execution

Deterministic execution authorization for AI agents and automation systems

What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks

Policy-Gated Governance for Operational AI Agents

Compiler-style pre-execution safety analysis for Harness shell actions.

Duc is a SQLite-based project-state format for physical-engineering work before execution.

Open AI Permit specification for pre-execution action authorization records

Deterministic pre-execution gate for AI agents (fail-closed, YAML policy)

Pre-execution safety gate for AI agents. Evaluates proposed actions and returns allow, require_approval, revise_action, or block before execution.

A production-grade pre-execution authority layer that binds AI agent identity to deterministic state. Standard IdPs (Entra ID, Okta, OIDC) issue passport to your Agent, predicate-authority issues/revokes "work permit" to your Agent based on intent & state

Core execution boundary engine (decision + proof + ledger)

Find blind spots before you build them. A multi-agent overnight research pattern for Claude Code that knows when not to run.

The effect layer for AI-agent firewalls — simulate an action, get a canonical effect delta. Zero-dep, deterministic, fail-closed. 5 domains (fs, sql, shell, http, solana).

AI Admissibility Boundary reference surface for the external admit authority model and its proof meaning.

AI Code Safety Gate demo showing ALLOW, REQUIRE_APPROVAL, and BLOCK decisions for AI-generated code changes.

Local deterministic CLI for detecting policy/source conflicts before proposed agent actions.

Implementation governed by the Aperture execution calculus

Deterministically bind authorization to the exact JSON-compatible action an agent is about to execute.

AI Execution Boundary Standard (AEBS) - Pre-incident reference for execution governance

AI Admissibility Action: external controlled negotiation protocol (CNP) for automated and AI-driven actions. This gate decides whether execution may continue.