Five hours a week back, per person, starting the day we train them.

Hands-on Claude training for teams, and AI assistants for founders. Inbox, follow-ups, reporting, running inside a week.

Metric_01 5+ hrs/wk Back, per person

Metric_02 90+ Projects shipped behind the work

Metric_03 ≤7 days From yes to up and running

[SEC_01] Services

Svc_A // Flagship

Claude Team Training

Half-day or full-day · teams of all sizes

One working session, everyone hands-on at a keyboard, on your team's real work. No slides-only sections.

Pre-call to pick three to five real workflows
Half-day or full-day, remote or on-site
Playbook and prompt library your team keeps
Follow-up at two weeks to unstick anyone who stalled

Svc_B // For founders

Founder AI Assistant

Built for you · maintained monthly

An assistant that does the work rather than reporting on it. Nothing for you to set up, running inside a week.

Morning brief: the few things that need you, replies drafted
Stale leads found and chased, sent on your approval
One page for pipeline, support and socials
Maintained monthly: monitoring, fixes, one improvement

Svc_C // Start here

AI Opportunity Audit

Credits 100% toward a training or build within 30 days

A costed picture of where AI pays off in your business, whether or not you hire us.

Top 5 opportunities ranked by hours saved × ease
A fluency score for the team, and the fastest way up one level
A "do not automate" list: what looks automatable but isn't worth it
Written report in five business days, plus a readout call

[SEC_02] How a training works

Pre-call

30 minutes to learn how the team works and pick the workflows worth changing.

Training day

Everyone hands-on, on their real work. Guardrails included: what not to paste in, where a human checks.

The playbook

Every workflow written down, with the prompt library and a 30-day checklist. Yours to keep.

Follow-up

Two weeks later we measure hours saved and unstick anyone who stalled.

[SEC_03] Principal

Joe Waine

One Brooklyn engineer, 90+ shipped projects: agents, automations, internal tools. Whoever trains your team is the person who builds this for a living. Live demos on request.

Entity type	Solo consultancy
Base of operations	Brooklyn, New York
Track record	90+ shipped projects: agents, automations, internal tools
Focus areas	Claude training, founder AI assistants, workflow automation

[SEC_04] Fair questions

We already use ChatGPT. Why would we need this?

Good, your team already believes. The gap is between typing prompts and having AI carry a whole workflow. Most teams who say they use ChatGPT are getting minutes, not hours.

Can't we just watch YouTube tutorials?

You can. Nobody does. A training day gets everyone over the hump at once, on your own work, with someone there to unstick them.

What tools do you use for the assistant builds?

Whatever fits the job, and you'll never touch them. You get outcomes and a one-click approval, not more logins to babysit.

Is our data safe?

We walk through access scopes before anything connects: what's read, what's stored where, and the kill switch. Nothing gets write access until you've watched it work on drafts.

We're too small for AI.

Smaller means fewer people doing more jobs, so the hours-saved maths is better for you. That's what the audit is for. If the numbers don't work the report says so.