Phil Springer · AI Infrastructure Engineer
AI Engineer / Phoenix / Founder since 2010

I build and run agent systems.

A production multi-agent system with 19,000+ commits since March 2026. Automated evaluation gates every change.

1 · build
Four frontier model families over MCP
Claude Code OpenAI Codex Gemini Grok (xAI)
2 · local inference
Four self-hosted open-weight models
3 · live browser
Grok Bot: six agents, jobs by email automatically, replies read by API
66 batches387 story fact checks55 site reviews
before ship
Evaluation and guardrails
4frontier model families, plus four self-hosted models
reviewing
LLM useLLMs in the business since late 2022.
AI codingAI coding tools in hands-on use since 2024.
AI systemsThe systems described here were built from 2026 onward.
Shared contextShared rules and 30+ on-demand skills.
MCP developmentI built the MCP server for the task tracker.
Router benchmark100 real tasks graded blind by two AI judges.
method

Multi-agent coordination over MCP.

four frontier model families, plus four self-hosted models
ProviderTool or modelHostingSystem
AnthropicClaude CodeFrontierMCP coordination
OpenAIOpenAI CodexFrontierMCP coordination
GoogleGeminiFrontierMCP coordination
xAIGrok (xAI) · Grok BotFrontierMCP coordination
Open-weightFour modelsSelf-hostedMCP coordination
stack

What I actually run.

Orchestration

Multi-agent systems

Gemini 3.1 Pro Preview and Gemini 3.8 Flash for the bulk of the work; testing Gemini 4 Argon via API.

Claude Code
OpenAI Codex
Gemini
Grok (xAI)
Grok Bot

New models go to work the week they ship. Latest: Gemini 4 Argon, in API testing since October 2026.

Local inference

Four self-hosted open-weight models

Local inference on a 512 GB Mac Studio.

Mac Studio
self-hosted inference
GLM 5.3heavy reasoning
Qwen 3.8 27Btriage
Nemotron 3.5 Lightning 30B-A3Bverification
Ornith 1.5-397Bstandby

Languages

Languages and web development

Python, PHP, TypeScript, JavaScript, SQL and Bash, with Laravel and Next.js for web development.

languages and web
Python
PHP
Laravel
Next.js
Bash
languages
JavaScript
TypeScript
SQL

Infrastructure

Self-hosted infrastructure

Self-hosted Git and mail relay, backups with restore drills.

Linux
Forgejo
Tailscale
Caddy
nginx
Docker
Cloudflare
MariaDB

Model work

Evaluation and guardrails

Prompt and context engineering, LLM evaluation, guardrails and mutation testing.

Guardrails
Context engineering
Evaluation
Mutation testing
production

Daily data and email pipelines.

A daily pipeline pulls about 6,100 records from public APIs, screens them with rules, and has LLMs read the survivors. Answers must quote their source word for word or they are rejected automatically.

A second pipeline writes persona-specific email copy and checks every draft for false claims, proven across 5,487 emails. Daily sends to a list of about 10,000 run on my own browser automation.

A six-agent team on xAI's Grok Bot is the live-browser layer. It is fed jobs by email automatically, and its replies are read back by API. One feed queued 66 batches: 387 story fact checks and 55 site reviews.

model routing

Routing tasks by cost.

A router sends each sub-agent task to the cheapest Claude tier, Haiku, Sonnet or Opus, by five-vote consensus. It uses a one-line title so prompts and code never leave the machine.

On a 30-task scorecard, the aggressive setting cut list-price cost from $129.30 to $53.22.

standards

How I ship.

Checks are proven before they are trusted.

Every automated check is tested by planting a known bug and confirming the check catches it.

Mutation testing

Mutation testing runs in development and overnight.

Code review

Code is reviewed by a different model family than the one that wrote it.

who

Founder and engineer for 16 years.

B.S. Computer Science, Business Administration minor, Southern Oregon University, 2010. Founder and Principal Engineer at IM-Empowered Inc. since 2010.

I ran my own email marketing business for 15 years, from 2010 to 2025. I bought paid media, built and monetized niche email lists, and managed acquisition, deliverability and offers.

closing

Open to roles

Senior/staff AI engineering, agent platform and LLM evaluation roles; agent systems, growth and email automation. Remote preferred, Phoenix hybrid welcome.