Gale-Force Contact Jim

Stop doing the same thing twice.

Most businesses lose hours every week to work a computer could do. I find those hours, set up the help, and leave you owning it.

New to AI?

You don't need to learn it. Tell me what's slow, and I'll show you what can be done, in plain English.

  • The phone questions you answer ten times a day, answered for you, the way you'd answer them.
  • Orders and forms that fill in your other systems by themselves.
  • Invoice reminders that go out on time without you remembering.

Prefer to learn it yourself first? Start free at AI University: the day's AI news in plain English, read aloud in a few minutes.

Already using AI?

Then you know the hard part is making it reliable.

  • Agent teams that plan, build, test and review, with the handoffs designed
  • Evals and quality gates, scored so a chatty agent can't beat a good one
  • Voice: speech to text and text to speech
  • Customer-feedback triage at scale
  • Workflow automation across the tools you already have
  • Cost control: where the tokens really go, and how to stop paying twice
  • Showing up when people ask AI: listings and pages that ChatGPT and Google can read and cite

AI University is researched, written and published daily by an AI agent team I built: the same kind of system I'd build for you.

Where does your week go?

Five questions, two minutes. Put in your own hours; the estimate shows its assumptions.

Hours per week, your best guess.

Fill in a line or two to see an estimate.
The assumptions behind the estimate

These are my working ranges for how much of each kind of work can usually be handed off, not a promise. On a call we check them against how you actually work.

  • Answering the same questions (calls, texts, messages): 40–70%
  • Typing the same information into more than one place: 50–80%
  • Invoices, reminders and follow-ups: 30–60%
  • Scheduling and rescheduling: 40–70%
  • Email you write from scratch: 20–40%
Talk it through with Jim, free

Real work, not slides

Feedback triage at Microsoft scale

About 7 million pieces of user feedback a year, put through automated triage instead of waiting for someone to read them.

A newsroom run by agents

AI University: the day's AI news researched, written and read aloud by a team of AI agents, published daily on Spotify, Apple Podcasts and YouTube.

aiuniversity.com

alerts.city, around the clock

Duvall's local alerts, checked against their sources all day and night since 2013. The City, police, schools and Chamber point residents to it.

alerts.city

Start with the two-minute check

Larger team? Your first project: you set the fee after you see the result.

Already on alerts.city? Neighbors can find you by what you sell.See your listing as a website