Karthik RameshContact
All workPublic open-source release

LaneOrchestrator

A policy-aware orchestration layer that routes Codex work across model lanes, specialist agents, approval gates and verification workflows.

For
Developers and teams coordinating complex AI-assisted software work.
Ownership
Product concept, Routing architecture, Policy design, Skill packaging, Security and evaluation
System
Python, Codex skills, Agent orchestration, Policy engines
LaneOrchestrator system map showing context inspection, three model lanes, specialist execution and independent review
Code-native system map of the public LaneOrchestrator routing contract.Recorded product interface
The workflow problem

What had to change

Developers should not need to reason about an entire model and agent stack before every task, yet blind routing wastes capability and weakens review.

The product response

How the product behaves

LaneOrchestrator analyses task and repository context, classifies complexity and risk, then emits an auditable route with bounded execution and independent review.

User journey

From first signal to inspectable outcome

  1. 01Inspect context
  2. 02Classify complexity
  3. 03Select model lane
  4. 04Route specialist work
  5. 05Verify the handoff
Architecture

The control path

The model participates inside a product boundary. Typed software, policy and human review retain authority where consequences matter.

  1. Context

    Task, repository and instruction discovery

  2. Router

    Complexity, risk and uncertainty classification

  3. Lanes

    Luna, Terra and Sol execution policies

  4. Specialists

    Bounded domain agents and skills

  5. Evidence

    Route cards, checks and final verification

Product decisions

Choices that shape the system

01

Routing is separate from execution

The implementer does not self-select or self-approve its lane.

02

Risk determines review depth

High-impact changes receive stronger independent verification.

03

Every handoff is bounded

Ownership, scope and acceptance evidence remain explicit.

Evaluation and reliability

What keeps the product inspectable

Controls

  • Policy-driven routing
  • Bounded task packets
  • Specialist isolation
  • Independent review paths

Verified evidence

  • Installable Codex skill
  • Multiple model lanes
  • 172 bundled specialist definitions

Current limitations

  • The package orchestrates Codex workflows and does not replace the underlying model runtime.
  • Specialist availability depends on the installed Codex environment.
Recorded walkthrough of the public v0.2.4 release.Recorded product interface
Karthik’s ownership

Product concept · Routing architecture · Policy design · Skill packaging · Security and evaluation

GitHub repository View all work