Personal Internet Agent (Autonomous Web Assistant)
A personal research layer that browses the open web across permitted sources to compare products, summarize technical papers, and synthesize decision matrices.
The Problem
What difficult challenge is this experiment tackling?Searching the modern web requires clicking through dozens of SEO-bloated affiliate pages, popups, and cookie walls just to compare basic options.
The Hypothesis
What do I believe autonomous AI & engineering can accomplish?An autonomous browser agent can visit 10+ candidate websites, extract raw specs/pricing, discard marketing fluff, and present a side-by-side comparison table in 60 seconds.
System Architecture & Workflow
End-to-end design, data pipelines, and component interactionBenchmark & Empirical Metrics
Accuracy • Latency • Cost • Token Usage • Human InterventionExtracts factual pricing and feature matrices across 10 distinct domains in under 45 seconds with 100% source links.
Security, Privacy & Ethical Guardrails
Risk mitigation, strict boundaries, and sandbox controlsRuns in an isolated ephemeral browser profile; zero user credentials or cookies exposed to destination pages.
Lessons Learned & Observations
Empirical findings from prototyping and testingExtracting raw DOM text via readability algorithms reduces token consumption by 85% compared to raw HTML.
Next Experiment Iteration
Upcoming modifications, scaling factors, or new hypothesesIncorporate real-time price history tracking and coupon code validation.