# Launch Candidate 1 Audit

> Public release boundary: this repository documents engineering methodology, sanitized evidence references, benchmark interpretation, and executive reporting. GPUValidator is proprietary software. No source code, product internals, API contracts, database schemas, authentication/RBAC design, agent protocol, customer data, private URLs, secrets, or production screenshots are included.

## Review Perspectives

This LC1 pass reviewed the repository as:

1. An NVIDIA Senior AI Compute Engineering hiring manager.
2. An enterprise customer evaluating technical capability.
3. A potential investor or acquirer evaluating the commercial value of GPUValidator.

## IP Review Findings and Actions

| Risk area | Finding | LC1 action |
| :--- | :--- | :--- |
| Production screenshots | Existing images exposed proprietary UI surfaces, user names, cluster labels, status panels, product navigation, and implementation-adjacent workflows | Removed tracked production PNG screenshots and replaced docs with public-safe conceptual SVG visuals |
| GPUValidator implementation | Several docs referenced product areas too closely | Reframed GPUValidator as proprietary software and removed implementation-facing descriptions |
| Benchmark claims | Some wording could imply the fixture was raw customer evidence | Clarified that the NCCL text artifact is a redacted real-format fixture and not customer evidence |
| Messaging | Story centered on benchmarking only | Reframed around enterprise GPU benchmarking and validation environment engineering |
| Recruiter readability | Skills were present but not optimized for 90-second review | Added recruiter snapshot, skills matrix, resume bullets, and interview guide updates |
| Enterprise readability | Reports existed but needed stronger audience framing | Standardized report templates around evidence, limitations, recommendations, and boundaries |
| Commercial positioning | GPUValidator needed a dedicated public-safe overview | Added [GPUValidator overview](GPUVALIDATOR_OVERVIEW.md) |
| Personal brand | No dedicated public biography | Added [About Sabion](ABOUT_SABION.md) |
| Portfolio landing | No GitHub Pages case-study landing page | Added `index.html`, `style.css`, and public visual assets |
| Video guide | No walkthrough script | Added [Video walkthrough script](VIDEO_SCRIPT.md) |

## Sensitive Information Removed or Avoided

- Production product screenshots.
- Visible user names from screenshots.
- Cluster labels from screenshots.
- Product navigation and implementation-adjacent UI flows from screenshots.
- Raw GPU UUID-style values from public docs.
- Any description of private API endpoints, schemas, authentication, RBAC, agent protocols, message formats, source tree, deployment secrets, private URLs, tokens, or customer identifiers.

## Documentation Improvements

- Unified title and story: Engineering an Enterprise GPU Benchmarking and Validation Environment.
- Added audience-specific navigation for recruiters, AI compute interviewers, customers, and investors/acquirers.
- Strengthened evidence limitations and methodology-only labels.
- Added public/private boundary diagrams and policy language.
- Added publication readiness and remaining blocker guidance.

## Validation Checklist

Run before publication:

```bash
python3 scripts/validate_docs.py
```

The script checks internal links, image references, Mermaid fence balance, heading progression, and sensitive text patterns.

## Publication Readiness Notes

LC1 is suitable for final human review. Remaining publication questions are whether to regenerate PDFs from the updated Markdown and whether to add any newly approved raw evidence.