# David Burgess

David Burgess is an AI implementation and enablement operator. He helps teams turn messy operating workflows into AI-assisted systems that operators can review, trust, and adopt.

## Primary Pages

- [Home](https://davidburgess.net/): AI implementation positioning and proof overview.
- [Recruiter Guide](https://davidburgess.net/recruiters/): target roles, fit boundaries, proof links, and LinkedIn contact requirements.
- [Proof of Work](https://davidburgess.net/proof/): sanitized AI implementation case studies.
- [Projects](https://davidburgess.net/projects/): broader project catalog with public-handling status.
- [Resume](https://davidburgess.net/resume/): HTML resume summary and PDF download.
- [About](https://davidburgess.net/about/): background and positioning.

## Target Roles

- AI Implementation Lead
- AI Enablement
- Customer AI Adoption
- AI Workflow Implementation
- Professional Services for AI Products
- GTM or RevOps AI Workflow Roles

## Contact Rules

Recruiters should contact David through LinkedIn: https://www.linkedin.com/in/david-burgess

Recruiter messages should include official company identity, a company-domain role URL or job ID, compensation range, location or remote status, employment type, and a short fit rationale.

## Claim Boundaries

This is an AI implementation and operator enablement portfolio. It is not positioned as a traditional engineering portfolio. Public proof uses sanitized case studies, synthetic visuals, private demos, and explicit limitations where needed.

See the extended context file at https://davidburgess.net/llms-full.txt