The Engineering Control Plane for AI Coding Agents.
Build software with AI under explicit architecture, policy, execution, evidence, and verification controls.
Set the boundary before the agent acts.
Policy and authorization determine which capabilities are available and under what conditions they may execute.
Do not confuse execution with success.
NAEOS separates runtime execution from durable evidence and independent verification.
AI must be governed, not just prompted.
NAEOS turns AI coding from an unbounded assistant into a controlled engineering workflow.
Architecture
Define engineering constraints and system boundaries.
Policy
Determine which actions are allowed, restricted, or prohibited.
Evidence
Preserve decisions, observations, artifacts, and receipts.
Verification
Evaluate outcomes independently from execution.
Test the control plane on your engineering workflow.
Start with a scoped 30-Day AI Engineering Governance Pilot.
AI can generate code, but the engineering workflow remains hard to control.
- Context drift across agents and repositories
- Inconsistent validation and policy enforcement
- Weak traceability from intent to artifact
Intent, execution, governance and evidence become one system.
NAEOS sits between the engineering system and AI agents, adding structure and boundaries at every stage.
Authorization is separated from execution.
A production action can be proposed by an agent, evaluated by policy, blocked before side effect, and linked to evidence.
request: agent.prod.delete_database
policy: production-safety/v2
decision: DENY
execution: blocked
evidence: decision_id → receiptNEIR is the engineering model at the center
One canonical representation connects specifications to validation, context, agents and execution.
Specification
Engineering state remains explicit and machine-readable.
intent → architecture → constraintsNEIR
Engineering state remains explicit and machine-readable.
modules → services → dependencies → graphPolicy
Engineering state remains explicit and machine-readable.
validate → allow / blockGovernance before execution
AI does not get an unbounded path into the engineering workflow.
Policy
Define what is allowed, required and forbidden.
Context
Give agents structured, relevant engineering context.
Evidence
Keep decisions, artifacts and results traceable.
NAEOS between your engineering stack and AI
GitHub · CI/CD · repositories ↔ NAEOS ↔ Copilot · Claude · Codex · agents
From intent to evidence
Every stage remains traceable back to the original engineering intent.
Start with a specification.
Build with control, policy and evidence.
naeos init
naeos validate --input-file spec.yaml
naeos run --config naeos.yaml --input-file spec.yaml