// ABOUT

What I Do

I build autonomous AI agents and physical security systems — two domains, one mission: infrastructure that works without you watching it.

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// AI Agent Development

I design, build, and deploy custom autonomous AI agents for businesses that have identified expensive manual workflows and want them gone. Not generic chatbots. Not off-the-shelf software. Purpose-built agents that understand your business context, operate your tools, and execute your processes — reliably, at scale, 24 hours a day.

Every agent engagement starts with a discovery phase: mapping your workflows, identifying where human time is being consumed by pattern-matching tasks, and calculating where automation delivers the sharpest ROI. Then we design the architecture, build the skills, integrate with your stack, test against real scenarios, and deploy to production.

Typical use cases: lead qualification and routing, email triage and response, document extraction and classification, customer support tier-1 automation, data pipeline management, scheduling and coordination workflows.

// The Tech Stack

I work with the frameworks and models that are production-proven, not just technically interesting. The stack evolves as the tools evolve — but the core principles don’t: deterministic workflows, testable skills, observable outputs.

OpenClaw Agent Zero Python 3.12 Claude (Anthropic) OpenRouter LangChain FastAPI PostgreSQL Redis Docker

LLM selection is model-agnostic — Claude, GPT-4o, Gemini, or open-source models via OpenRouter, depending on the task requirements, cost profile, and privacy constraints of the deployment.

// How Agents Are Deployed

Deployment isn’t an afterthought. Every agent ships with:

  • A SOUL.md — the agent’s identity file defining persona, constraints, and escalation rules
  • Observability hooks — logging, tracing, and anomaly alerting so you always know what the agent is doing
  • Safety guardrails — input validation, output filtering, and human-in-the-loop checkpoints for high-stakes decisions
  • Skill documentation — complete spec for every capability the agent can execute
  • Iteration protocol — a defined process for updating skills and retraining as your business evolves

// Physical Security Systems

The physical security practice covers residential and commercial installations — alarm systems, video surveillance, access control, and perimeter hardening. The same engineering mindset that goes into an AI agent deployment goes into a security system design: understand the threat model, layer the defenses, test against realistic scenarios, and build for reliability not just launch day.

Services include: home security system design and installation, HD video surveillance networks, commercial access control, system maintenance contracts, and strategic security consulting for sites undergoing expansion or threat assessment.

// How to Work Together

Engagements typically start with a discovery conversation — no commitment, just a clear-eyed look at your workflows and where automation makes the most sense. From there, we scope a pilot project with measurable outcomes, build it, deploy it, and measure results before committing to anything larger.

If you’re dealing with a high-volume manual process that your team finds tedious, expensive, or error-prone — that’s probably a good candidate. Let’s talk about it.

Got a workflow that’s costing you too much? Let’s fix it.

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