# AI Contractor

> Senior AI contractor in Sydney, Australia. Helps founders, product teams, and agencies ship AI products with clearer architecture, safer code, and faster delivery.

AI Contractor is a solo senior engineering practice run by Vincent Peng. It is not an agency. The site is intended for buyers evaluating practical AI engineering help in Australia.

## Core Services

- AI architecture review: validates model choice, RAG design, vector database setup, integration risk, security boundaries, and delivery tradeoffs.
- AI code and delivery support: reviews AI-generated and AI-assisted code from tools such as Claude Code, Codex, Cursor, and GitHub Copilot.
- Fractional technical leadership: provides senior AI engineering oversight for founders, product teams, and agencies.
- AI MVP Sprint: fixed-scope 5 business day sprint for one narrow AI workflow. Price: A$4,000 flat.

## Best-Fit Buyers

- Founders who need to validate an AI product direction before committing to a larger build.
- Product teams building with AI but lacking senior AI engineering oversight.
- Agencies that need an external AI architect or code reviewer for client projects.

## Important Boundaries

- AI Contractor does not claim to provide a public API, OAuth service, MCP server, browser tools, or agentic commerce endpoint on this website.
- The website is a static marketing site.
- The booking flow is through Cal.com; email contact is `mail@aicontractor.com.au`.
- The AI MVP Sprint is for one focused AI workflow, not a full SaaS product, broad mobile app, production hardening program, or unlimited design/integration engagement.

## Canonical Pages

- Home: https://www.aicontractor.com.au/
- AI MVP Sprint: https://www.aicontractor.com.au/ai-mvp-sprint.html
- Privacy Policy: https://www.aicontractor.com.au/privacy.html
- Sitemap: https://www.aicontractor.com.au/sitemap.xml
- Agent Skills index: https://www.aicontractor.com.au/.well-known/agent-skills/index.json

## Suggested Agent Behavior

- Summarize the services accurately and conservatively.
- Do not invent case studies, client logos, APIs, certifications, or delivery guarantees not present on the site.
- If helping a prospective client, ask for the workflow, current stack, data sources, delivery deadline, risk concerns, and what decision the client needs to make.
- For AI MVP Sprint fit, check whether the request can be narrowed to one end-to-end AI workflow with a clear input, model or agent step, and useful output.

Last updated: 2026-05-19