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 Hedy AskAi.
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 through Hedy AskAi. Tabs marked Capability stay in the broader toolkit and 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 Sonnet 4.6 — balanced reasoning and latency for agentic workloads
Claude Opus 4.6 — 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 2 Lite — next-generation Nova lineage, multimodal
Multimodal input across text, images, and documents
Cost-efficient inference at enterprise scale
Low-latency streaming for conversational UX
Meta Llama
Capability — not in this demo
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.
Strengths
Open weights with full deployment portability
On-premises and air-gapped options for regulated workloads
Custom fine-tuning for domain-specific tasks
Competitive cost profile at scale
DeepSeek
Capability — not in this demo
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.
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 is not wired into this live AskAi assistant, and it remains 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, and 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.