What I build.
What it costs.

A Claude-powered sales closer deployed on your website and messaging channels. Not a help-desk chatbot — a system that understands your inventory, builds carts, handles objections, and guides customers to purchase. Runs 24/7, never forgets a conversation.

• Live cart awareness — pulls real inventory, prices, and availability from your store
• Session memory — remembers what each customer browsed, asked about, and abandoned
• Hallucination guard — blocks fabricated prices and specs before they reach a customer
• Multi-channel — website widget + Facebook Messenger + SMS (Twilio)
• Analytics dashboard — conversation logs, conversion tracking, common questions

A real-time voice agent that answers your phone line. Deepgram speech-to-text, streaming LLM reasoning, ElevenLabs text-to-speech — low-latency, natural conversation. Books appointments, qualifies leads, and texts you a summary.

• Sub-second latency — real-time STT → LLM → TTS pipeline
• Caller memory — recognizes repeat callers by phone number
• Industry personas — custom personality, knowledge base, and tone for your business
• Missed-call text-back — auto-texts callers who hang up with a booking link
• Call transcripts — every conversation logged and searchable

A scheduled autonomous agent that runs your operations without a human trigger. Health-checks systems, identifies marketing opportunities, publishes content, sends alerts, and writes its own audit log. Runs daily or hourly.

• Multi-system monitoring — checks your site, APIs, inventory, competitors
• Autonomous content — generates and publishes social posts, product descriptions
• Alert pipeline — Slack/SMS/email notifications for anomalies and opportunities
• Full audit trail — every decision logged with reasoning, reversible

Private LLM inference on your own hardware or cloud GPUs. No per-token API costs, full data privacy, zero vendor lock-in. I handle model selection, CUDA optimization, deployment, and monitoring.

• Model selection — right model for your latency/quality/cost tradeoff
• GPU optimization — tensor splitting, quantization, KV cache tuning
• Production deployment — systemd services, health checks, auto-restart
• Monitoring — token throughput, GPU utilization, error rates

Don't see your exact use case above? I wire AI into whatever systems you already use — Shopify, Stripe, your CRM, phone system, Facebook, email, internal tools. End-to-end from API plumbing to production guardrails.

• RAG pipelines — your data, your models, production retrieval
• Workflow automation — multi-step agents with human-in-the-loop
• Data pipelines — scraping, transformation, enrichment, classification
• Full-stack builds — backend + frontend + deploy, from zero to production