Agentic AI with tool use, multi-model orchestration, and enterprise-grade AWS architecture — demonstrated live below.
Live Demo
AI-Powered Resume Assistant
Ask anything about John’s career, technical depth, leadership experience, or AI expertise. Responses are streamed in real time through a production multi-model pipeline.
Resume Assistant
Hello! I’m John White’s AI resume assistant. I can answer any questions about John’s experience, skills, achievements, and background. What would you like to know?
Press Enter to send
Providers
Multi-Model AI Expertise
Tabs marked Live are selectable from the assistant above; tabs marked Capability are part of the broader toolkit but are not wired into this public demo.
Anthropic
Live in assistant
Claude brings extended thinking, agentic tool use, and long-context reasoning to production workloads where nuance and safety matter as much as raw throughput.
Available in the assistant above:
Claude Haiku 4.5 — fast, low-cost default for conversational flows
Claude Sonnet 4.6 — balanced reasoning and latency for agentic workloads
Claude Opus 4.7 — frontier reasoning for complex analysis and planning
Strengths
Extended thinking and chain-of-thought reasoning
Computer use, tool integration, and agentic coding
Long-context document understanding
Strong safety posture for enterprise deployments
Amazon Nova
Live in assistant
Nova covers the full price/performance spectrum inside AWS Bedrock, with Nova 2 introducing the next generation of frontier capability tightly integrated with AWS identity, networking, and observability.
Available in the assistant above:
Nova Micro — ultra low-cost, low-latency text model (default)
Nova Lite — multimodal at a friendly price point
Nova Pro — balanced frontier capability for production workloads
Nova 2 Lite — next-generation Nova lineage, multimodal
Nova Premier — top-tier Nova reasoning and context
Multimodal input across text, images, and documents
Cost-efficient inference at enterprise scale
Low-latency streaming for conversational UX
Meta Llama
Live in assistant
Meta’s open-weight Llama family gives teams a path from hosted inference on Bedrock to fully on-premises or custom fine-tuned deployments — the same architecture, dialed to the constraint that matters most.
On-premises and air-gapped options for regulated workloads
Custom fine-tuning for domain-specific tasks
Competitive cost profile at scale
DeepSeek
Live in assistant
DeepSeek’s reasoning-first models deliver frontier-grade chain-of-thought performance at a fraction of the cost, which makes them a strong fit for structured analysis and open-weight reasoning pipelines.
Available in the assistant above:
DeepSeek R1 — reasoning-optimized, open-weight frontier model
Strengths
Reasoning-optimized architecture with strong benchmarks
Open weights for custom deployment and fine-tuning
Excellent performance on structured and mathematical tasks
Highly cost-effective for reasoning-heavy workloads
OpenAI
Capability — not in this demo
OpenAI’s GPT family is the reference point for general-purpose reasoning, function calling, and multimodal output. It’s not wired into this live Bedrock-backed assistant, but it’s a day-one citizen in production engagements.
Strengths
Deep reasoning and chain-of-thought analysis
Mature function calling, tool use, and structured output
Multimodal input and output including voice and vision
Strong ecosystem and rapid iteration cadence
Google Gemini
Capability — not in this demo
Gemini offers long-context multimodal processing and first-party search grounding. Not routed through this public assistant, but part of the multi-cloud toolkit when Google Cloud is the target platform.
Strengths
Multimodal input across text, images, audio, and video
Very long-context processing for document workflows
Search grounding and real-time retrieval
Deep Google Cloud and Workspace integration
Case Studies
Real-world AI workflows that shipped.
Featured shipped product
Pillar — Property Operations SaaS
A modern property management platform for landlords and small operators with practical, production AI woven throughout the daily workflow — not a chatbot bolted onto a CRUD app, but real agentic features that remove real work from the user’s plate.
Designed, architected, and shipped end-to-end — product, marketing site, multi-account AWS, IaC, and CI/CD — using an AI-native development workflow with production-grade engineering discipline.
AI features built into the product
MultimodalMultilingual messaging & real-time voice translation:
AI translates inbound and outbound tenant text messages on the fly and provides live voice translation during phone conversations — landlords and tenants speak their preferred language without skipping a beat.
AgenticMulti-agent lease generation:
A coordinated multi-agent system gathers property, tenant, and term context, drafts the lease, applies jurisdiction-aware clauses, reviews itself, and surfaces a clean, signature-ready document — collapsing what was hours of manual work into minutes.
VisionReceipt-to-expense assistant:
Snap a photo of any receipt and the assistant extracts vendor, date, line items, and amounts, auto-categorizes the expense against the right property and chart-of-accounts bucket, and writes it directly into the books — ready for review.
Real-Time Conversation Intelligence
Real-time system that listens to sales conversations using multimodal AI (speech recognition and language processing), extracting key information and providing immediate diagnostic insights.
Key Benefits
35% faster deal closure
Improved customer satisfaction
Reduced manual data entry
Multi-Model Document Processing
Workflow that combines multiple AI models to extract, analyze, and summarize information from complex business documents.
Key Benefits
90% reduction in processing time
Higher accuracy than single-model approaches
Scalable to various document types
AI Agent Orchestration
Multi-agent systems using MCP, tool use, and autonomous workflows to solve complex enterprise problems without manual intervention.