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.

See the routing benchmark

Better funnels and offers

Reworked customers' landing pages and offers to raise opt-in rates and sales per click. Customers kept buying from me for years.

About the email business
method

Multi-agent coordination over MCP.

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