# ControlStackAI

ControlStackAI builds AI systems that keep running after the demo: agent applications, harness and tool integration, and workflow automation with human review gates.

ControlStackAI is the engineering practice of Matthew Mangano, an aerospace engineer and AI systems builder. The work is for engineering teams and technical founders who need AI systems to hold real context, take actions inside real tools, survive interruptions, and leave a reviewable record.

Canonical page: https://controlstackai.com/

## Services

### AI application development

Design and implementation of production AI applications with real data, tools, permissions, user interfaces, and operational boundaries.

### Agent harness integration

Connect Codex, Claude Code, OpenClaw, local models, custom agents, and other harnesses behind one governed workflow instead of tying the system to a single vendor.

### Workflow implementation

Turn repeatable operational work into durable, observable workflows with approval gates, retries, resumability, and evidence.

## Engineering approach

- Start with the real workflow and a clear definition of done.
- Separate agent execution from independent verification.
- Put permissions, budgets, and policy controls at action boundaries.
- Keep humans in control where judgment or external effects matter.
- Leave evidence that makes completed work inspectable.

## Engagements

- Workflow audit: map the current process, identify the highest-leverage automation boundary, and produce an implementation plan.
- Implementation sprint: build and integrate a production workflow.
- Ongoing AI systems engineering: operate, evaluate, and improve systems after launch.

## Proof of work

- Agentic OS demonstration: a public film showing a working AI operating environment.
- [Agent Harness case study](https://controlstackai.com/agent-harness): contract-based execution, independent verification, durable resume, policy enforcement, and signed evidence.

## Contact

To discuss a workflow or project, use https://controlstackai.com/contact or email matthew@controlstackai.com.