Jeremiah CargillEnterprise Architect · Identity · Infrastructure · Platform Engineering
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AI Agent / Live Demonstration

A modern AI Agent experience visitors can actually interact with.

This page is designed to showcase how an AI assistant can help with architecture conversations, recruiter interactions, certification planning, technical summaries, and workflow guidance. It now includes a client-side agent engine with intent detection, memory, and contextual playbooks.

Interactive Demo Promptable Experience Intent Detection Session Memory
Live Demo
AI AgentHi — I’m the AI Agent demo. Ask me about certifications, architecture strategy, recruiter replies, resume selection, or enterprise modernization ideas.
Tip: type /reset to clear conversation memory.
Agent state

Session memory

This in-browser agent tracks the current topic, last action, and user goals to produce context-aware responses.

Current topicGeneral guidance
Last intentnone
Conversation turns0

What this demonstrates

  • Lightweight intent routing without a backend dependency
  • Structured playbooks for recruiter, certification, resume, and modernization prompts
  • Memory-aware responses that reference prior conversation context
  • Safe default handling for open-ended visitor questions
Architecture Pattern

Phase 1: Browser-native agent

Runs 100% client-side so the demo works in GitHub Pages without secrets, API keys, or backend hosting.

Future Upgrade

Phase 2: Hosted LLM + workflows

Keep the same UI, but replace the local agent engine with a secure API endpoint for richer retrieval, lead capture, and analytics.

Portfolio Value

Shows product thinking

This implementation demonstrates design, architecture communication, and practical agent logic rather than static canned-only replies.