SoAZCloud
Nick Martinez — AI Infrastructure Consultant
soazcloud.com  |  linkedin.com/in/nzenitram
Production AI Agent Infrastructure

I build AI agent systems
that run in production.

Multi-agent platforms with persistent memory, security hardening, cost controls, and self-healing infrastructure — serving real customers and internal teams at scale. Not proofs of concept.

$400K+
Annual Savings in Salaries & Benefits
16x
Return on Investment
89%
Token Cost Reduction
1,600+
Cross-Agent Memories
Production Agents
  • Conversational Chat Agent — External
    Serves a large external customer base from one instance. Three-layer data isolation. 89% token cost reduction achieved through prompt caching and model selection.
  • Technical Reference Agent — External
    4,052 manual sections, 3,241 verified facts. FTS5 search. Zero-fabrication policy.
  • Support Operations — Internal
    Automated ticket triage with GitHub code context. 1,600+ memories from months of operation.
  • Security Operations — Internal
    CrowdStrike monitoring, SOC 2 automation, daily compliance verification.
  • Data Acquisition / Provisioning / Sales / Account Mgmt — Internal
    Scraping, onboarding automation, sales enablement, and account support — multiple agents replacing headcount across internal teams.
Shared Semantic Memory

A fleet of agents shares a persistent memory system built on PostgreSQL + pgvector with local embeddings (768-dim, zero API cost). When one agent solves a problem, every other agent benefits. Memory types: architectural decisions, discovered patterns, and verified references. Accessible via API and MCP server for IDE integration.

Capabilities

Multi-Agent Orchestration

Unified gateway across Slack, HTTP, WebSocket, cron

Multi-Tenant Architecture

Many customers from one instance with full data isolation

Cost Engineering

89% token reduction, prompt caching, model selection

Security Hardening

40 capabilities dropped, env filtering, sandboxed exec

Self-Healing Ops

Nightly updates with smoke tests, auto-fix, rollback

Hybrid Cloud + Edge

EC2 + edge nodes via encrypted mesh networking

Architecture Philosophy
  • One agent per function Persistent identity, memory, tools, and security boundaries. They learn over time.
  • Workspace files as behavioral contracts Agent behavior in versioned markdown — not application code. Hot-reloadable.
  • Local embeddings, not API calls 300MB model on-instance. Zero per-query cost, lower latency, no external dependency.
  • Docker sandboxing as security boundary Session-scoped containers. Credentials injected, never in agent-readable files.
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