What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks
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Updated
Apr 23, 2026 - Python
What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks
Deterministic pre-execution gate for AI agents (fail-closed, YAML policy)
Core execution boundary engine (decision + proof + ledger)
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
Implementation governed by the Aperture execution calculus
Transport-layer application profile for Execution Boundary Core Spec.
Find blind spots before you build them. A multi-agent overnight research pattern for Claude Code that knows when not to run.
Minimal reference model for separating proposal, authorization, and execution in side-effecting systems.
AI Execution Boundary Standard (AEBS) - Pre-incident reference for execution governance
Deterministic pre-execution gate for one credentialed tool request: explicit policy, allow/deny decision, and inspectable decision artifact.
Experiments showing where AI governance must physically stop execution.
Entry point and architectural map for execution boundary research.
AI Code Safety Gate demo showing ALLOW, REQUIRE_APPROVAL, and BLOCK decisions for AI-generated code changes.
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