Phil Springer · AI Automation Engineer, Growth and Email
Phoenix · Open to roles
AI Automation Engineer, Growth and Email
I build AI systems that run email, publishing and growth work for businesses.
AI that routes its own work
A live router picks the cheapest capable model for every AI helper task. It runs daily: in one week it handled 701 tasks and moved more than 3.5 million tokens of work from Opus to the cheaper Haiku model.
four frontier model families, plus three self-hosted models
Provider
Tool or model
Hosting
System
Anthropic
Claude Code
Frontier
MCP coordination
OpenAI
OpenAI Codex
Frontier
MCP coordination
Google
Gemini
Frontier
MCP coordination
xAI
Grok (xAI) · Grok Bot
Frontier
MCP coordination
Open-weight
Three models
Self-hosted
MCP coordination
stack
What I actually run.
Orchestration
Multi-agent systems
Four frontier model families, coordinated over MCP.
Claude Code
OpenAI Codex
Gemini
Grok (xAI)
Grok Bot
Local inference
Three self-hosted open-weight models
Local inference for three self-hosted models.
Mac Studio
self-hosted inference
GLM-5.3heavy reasoning
Qwen3.8-27Btriage
Nemotron 3.5 Lightning 30B-A3Bverification
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 pipeline; scheduled email.
A daily pipeline pulls about 6,100 job postings from public hiring APIs, screens them with rules,
and has LLMs read the survivors. The LLM's key claims must quote the posting word for word or they are rejected automatically.
A second pipeline writes persona-specific email copy. Its false-premise checker was tested on 5,487 real emails.
toolwitness.ai is a public directory of AI-agent tools. A scheduled pipeline starts each new MCP server in a no-network Docker lab
and publishes only records that pass deterministic checks plus independent Codex and Grok review.
It also runs 56 automated newsletter sites, each emailed Monday, Wednesday and Friday.
Read the case study.
model routing
Routing tasks by cost.
A live router picks the cheapest capable Claude model, Haiku, Sonnet or Opus, for every AI helper task,
from a one-line title. It runs daily: in one week it handled 701 tasks across 53 sessions and moved more than 3.5 million tokens of work
from Opus to the cheaper Haiku model.
It was benchmarked blind on 100 real tasks, graded by two AI judges.
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.
For 15 years I ran my own email and traffic business, selling traffic and solo ads to customers and ad networks.
Reworked customers' landing pages and offers to raise opt-in rates and sales per click.
Owned paid media, list building, deliverability, offers and back-end resale.
closing
Open to roles
AI Automation Engineer, Growth and Email. Remote preferred, Phoenix hybrid welcome.