NGIE-AI Frontend Validation Report
Validation date: July 7, 2026
Target: http://127.0.0.1:3000
Frontend: frontend/ Next.js local dashboard
Summary
The local NGIE-AI frontend dashboard passed the requested browser validation.
| Check | Status | Notes |
|---|---|---|
| Dashboard loads | Pass | Dashboard rendered with local platform metric cards. |
| Knowledge Explorer works | Pass | Search for SEO returned 4 results; top result was KN-000107 / SEO – GiNi.Tech. |
| Reports open correctly | Pass | Reports index loaded and reports/current-platform-architecture.md opened successfully in the frontend. |
| Assessment form submits | Pass | Sample business assessment submitted and rendered results on /assessment. |
| Assessment results display | Pass | Results showed capability score, capability assessment, recommendations, roadmap content, and supporting knowledge-object links. |
| Architecture page loads | Pass | Architecture page rendered the Markdown architecture overview. |
| Broken links | Pass | 200 discovered internal links were checked; 0 broken links found. |
| Console errors | Pass | No console warnings or errors were captured during validation. |
Browser Test Details
Dashboard
- URL tested:
/ - Page title:
NGIE-AI Admin - Main heading:
NGIE-AI Dashboard - Result: pass
Knowledge Explorer
- URL tested:
/knowledge - Search query:
SEO - Search field found by placeholder:
Search titles, summaries, tags, keywords... - Results returned: 4
- Top result:
- Object:
KN-000107 - Title:
SEO – GiNi.Tech - Category:
marketing - Website:
giniinc.tech
- Object:
- Result: pass
Reports
- URL tested:
/reports - Report links sampled: 20
- Report opened:
/reports/current-platform-architecture.md - Opened report heading:
NGIE-AI Current Platform Architecture - Result: pass
Business Assessment
- URL tested:
/assessment - Sample submitted:
- Business name:
Frontend Validation Bakery - Industry:
foodservice_supply - Location:
Ellijay, GA - Website:
https://example.com - Employees:
18
- Business name:
- Result view confirmed:
- Capability score displayed
- Capability assessment displayed
- Recommended services displayed
- Roadmap content displayed
- Supporting
KN-*evidence links displayed
- Result: pass
Architecture
- URL tested:
/architecture - Main heading:
Architecture - Embedded documentation heading found:
NGIE-AI Architecture Overview - Optional architecture image was not present, and the page displayed the expected placeholder message.
- Result: pass
Link and Console Validation
- Internal links checked: 200
- Broken internal links: 0
- Console warnings/errors captured: 0
Issues Found
1. Assessment result summary is not explicitly labeled Executive Summary
Severity: minor
The assessment result displays a strong business summary at the top of the result panel, but it does not explicitly label that section as Executive Summary.
Recommended fix:
Add an Executive Summary heading above the generated business summary in the frontend result view.
2. Architecture documentation is now slightly stale
Severity: minor
The architecture overview still says:
The platform is currently a collection of local command-line modules and generated files. It does not yet use autonomous agents, a database, vector search, or a dashboard.
That was accurate before the dashboard build, but the platform now has a local frontend dashboard.
Recommended fix:
Update:
docs/NGIE_AI_ARCHITECTURE_OVERVIEW.mdreports/current-platform-architecture.md
to include the new frontend dashboard layer.
3. Optional architecture image is missing
Severity: info
The Architecture page supports:
docs/images/ngie-ai-architecture-diagram-4x3.png
That image does not currently exist. The page handles this gracefully by showing a placeholder message.
Recommended fix:
Create docs/images/ngie-ai-architecture-diagram-4x3.png when a polished visual architecture diagram is ready.
Recommended Fixes Before Broader Use
- Add an explicit
Executive Summaryheading to the assessment result panel. - Update architecture documentation so it reflects the new frontend dashboard.
- Add the optional architecture diagram image.
- Consider adding accessible names or labels to Knowledge Explorer filters for stronger keyboard/screen-reader usability.
- Keep the dashboard local-only until authentication and deployment boundaries are intentionally designed.
Final Result
The first NGIE-AI frontend dashboard is functional and ready for local administrative use.