Business teams track · In your company, on your real work

Real productivity with AI, not prompt tricks.

For the teams whose day is documents, data, and decisions: operations, marketing, finance, support. No code required.

Vero AIReal-time voice agents, built at CME Offshore and Siren Analytics alongside a great team
Strategy& / PwCAI systems for enterprise clients. Specifics under NDA
Viral AlchemyMy own build: a system that maps what is about to trend

What the training covers

What changes in your team's week.

01

Knowing when AI is lying

Where AI helps, where it fabricates, and how your team tells the difference. This skill alone changes how every report gets read.

02

Working with AI tools properly

Claude for the thinking work, Cowork for the doing work: used with judgment, not with prompts copied from the internet.

03

Automations without engineering

The repetitive parts of the week identified and automated with the tools your company already pays for. No developers needed.

04

Cost awareness

If a tool does not pay for itself, it does not survive the training.

How it runs

Your real work is the course material.

The training runs inside your company, on the documents, reports, and processes your team actually handles. Sessions end with working automations your team keeps.

One real receipt, from my own brand. I launched a webinar campaign for The Learning Engineer, my education brand, with AI doing the heavy lifting: scripts for three video ads, the slides, the funnel, the landing page, and a connector I built to Meta Ads before an official one existed, creating the campaigns and monitoring them every 12 to 24 hours. Cost per lead: 17 cents. 2,000+ registrations. Around 1,700 replay views on YouTube since. First attempt, two to three weeks, next to a full-time job. That workflow is what your team learns. The workshop is public on YouTube.

Three sessions, three hours each. Cohort sized to your team. Pricing follows cohort size: ten people is not priced like fifty.

How it starts

One call. Then you decide.

Most teams are not choosing between me and another vendor. They are choosing between doing this and doing nothing. Doing nothing has a price too. The other options are a hire you cannot fill for months, or a consultancy that leaves a deck. Neither leaves capability behind.

Step 1

A 20-minute call

You describe where AI is stuck in your team. If I am not the right person, I say so and point you toward what would actually help.

Step 2

The Tokenomics Audit (an AI spend review)

A paid, fixed-scope look at every AI tool your team pays for, and what each one returns. It ships as an interactive report: costs mapped, fixes ranked. You keep it whether or not we go further.

Priced on the call, scoped in writing before anything starts.

Step 3

Build and train together

We fix the workflow with your team in the room, so the capability stays when I leave. Your team's time is the real cost. Both numbers go on the table before we start. The goal is that you stop needing me.

The first step

Twenty minutes. You describe where AI is stuck.

You leave the call knowing whether I can help, roughly what it would take, and what it would cost to find out for sure. If I am not the right person, I will say so on the call.

The 20 minutes, in order

  1. You talk first. Where AI is stuck, what has been tried, what it costs today.
  2. I answer plainly. Whether I can help, and what I would look at first.
  3. You leave with a next step. An audit scope, a pointer elsewhere, or a clean no.

Before you book

  1. Your team does not need to be technical. Plain language is the standard, not the exception.
  2. Training that does not survive the week is the normal outcome. These sessions build on your real workflows and ship something your team keeps using.
  3. You do not need budget approved to take the call. You need it approved to start step two.

The build log

What I build, what it costs, and what stopped working. Plain language. Monthly, at minimum. Leaving takes one click.

[Email provider pending: Kit]