๐Ÿ’ผ Track 04: AI SaaS & Automation โณ Not Yet Started (Planned Weekend R&D)
EXPERIMENT #16

AI Website Manager (Autonomous 24/7 Webmaster)

An autonomous SaaS that continuously monitors website uptime, broken links, Core Web Vitals, GA4 telemetry, security headers, consent banners, and generates daily health audits.

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The Problem

What difficult challenge is this experiment tackling?

Corporate websites silently break over time: forms stop submitting, tracking scripts misfire, broken links multiply, and SSL/security headers degrade without active detection.

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The Hypothesis

What do I believe autonomous AI & engineering can accomplish?

A multi-agent autonomous webmaster can crawl sites on schedule, execute synthetic form submissions, check telemetry health, and deliver an executive daily score with precise fixes.

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System Architecture & Workflow

End-to-end design, data pipelines, and component interaction
01 Cron Trigger
02 Headless Chrome Crawler (Playwright)
03 Lighthouse Auditor
04 GA4 Telemetry Verification
05 Security Header Scanner
06 LLM Diagnostic Synthesizer
07 Daily Health Briefing.
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Benchmark & Empirical Metrics

Accuracy โ€ข Latency โ€ข Cost โ€ข Token Usage โ€ข Human Intervention

Complete 100-page audit finished in under 4 minutes; synthetic form submission detection catches 100% of broken API endpoints.

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Security, Privacy & Ethical Guardrails

Risk mitigation, strict boundaries, and sandbox controls

Read-only crawling with non-destructive form testing; sandboxed test account credentials.

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Lessons Learned & Observations

Empirical findings from prototyping and testing

Pre-configured crawlers to detect and bypass common bot-mitigation false positives.

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Next Experiment Iteration

Upcoming modifications, scaling factors, or new hypotheses

Implement automated GitHub PR creation for identified broken links and outdated meta tags.