Generic examples
The workshop shows how to write a poem or plan a trip. Nobody in the room writes poems. The tools look impressive and stay unused.
AI training that changes how the work gets done, not just what people know.
A good workshop gets people excited for a week. Then the old routine wins. My training is built on your team's real tasks, backed by written playbooks, and followed up until working with AI is simply how the work gets done.
Where it stalls
Why most AI training doesn't stick.
One day, no follow-up
People leave with ideas and return to a full inbox. Without a second session and a written guide, the first real obstacle ends the experiment.
No rules
Nobody said which data may go into which tool. The careful people stop using AI, and the others use it in ways that create risk.
What the team gets
Training built on the work itself.
Training is planned around the tasks your people do every week, in the tools you already pay for.
- Hands-on workshops where each person works on their own tasks, not on demos.
- Written playbooks: short, step-by-step guides for your recurring tasks, in Hebrew or English.
- Tool setup: workspaces, shared prompts and settings arranged so the right way is also the easy way.
- Usage rules: which data may go into which tool, and what needs a second look.
- Follow-up sessions that solve the problems showing up in real use.
- Office hours for questions between sessions.
Example, for illustration
A customer service team learns to answer recurring questions with a shared assistant that knows the company's policies. The workshop builds it together, the playbook explains when to trust it and when to pass a case on, and the follow-up session fixes what didn't work in the first week.
How it runs
From first session to daily habit.
Training is the second stage of the Leverage‑to‑Ownership Method, and it comes back in every later stage.
Choose the tasks Leverage
A short call with the team lead and a few people from the team, to choose the tasks worth training on.
Workshop Learn
Hands-on, on real tasks, in your tools. Everyone leaves with something that already works in their own job.
Playbooks and setup Learn
What was done in the workshop becomes written guides and shared settings, so nobody depends on memory.
Follow-up Lock In
After the team has used the tools for a while, we meet again, fix what's stuck and add what's missing.
Training can run as a single workshop with a follow-up, or as a program over a few months for teams that want to build the habit step by step.
Who brings what
What you provide, and what you own.
What you provide
- A list of the team's recurring tasks.
- Access to the AI tools you use, or a decision on which to adopt.
- Protected time for the sessions, with laptops.
- A team lead who follows up between sessions.
What you own at the end
- The playbooks, as documents you can edit.
- The shared prompts, assistants and settings, in your accounts.
- The usage rules for tools and data.
- A team that can teach the next person who joins.
Proof
What this looks like in practice.
A digital analytics firm: three AI systems at work
One mapping session, then three systems built on the firm's own Claude account: email triage with replies drafted in the owner's writing style and a folder opened automatically for every new client, meeting summaries with decisions and tasks, and client-branded reports built from analytics data.
All three were running within two weeks of the first working session. Anything that goes to a client stays a draft until the owner sends it. The client's name stays private until they agree to be named.
My own business runs the same way
Agents prepare my meeting summaries, follow-ups, client records and draft replies. I read, correct and approve what goes out. I use what I recommend.
The AI Daily Brief
Every morning a pipeline I built reads about 30 sources, checks each item against its source and publishes up to three updates in Hebrew and English. It runs on its own, within written rules on what it may publish.
Five stages, written down
Every engagement follows the Leverage‑to‑Ownership Method: map, train, build, lock in the rules, hand over. You always know which stage you are in and what you own at the end of it.
Questions
Straight answers, before the first call.
Workshop, lecture or implementation: which one?
A lecture gives a whole room a shared picture in a single session. A workshop gets a team using the tools on its own tasks. Implementation builds systems into the work itself. Many organizations start with one and decide on the next after it.
How long is a workshop?
A typical workshop is about 3 hours, with a follow-up session after the team has used the tools. Longer programs add sessions over a few months.
Which tools do you teach?
The ones you already use or are about to adopt, such as Claude, ChatGPT, Gemini or Microsoft Copilot, plus the automation tools that fit your work. The method matters more than the brand.
What drives the cost?
The number of people and groups, the number of sessions, how much preparation the playbooks need, and whether it is a single workshop or a program. You get a scoped proposal after the first call; there are no prices on this site.
Is the training in Hebrew?
Yes. Sessions and playbooks are in Hebrew or English. I also show where the tools are weaker in Hebrew and how to work around it.
What about data and privacy?
Every workshop includes the rules: which data may go into which tool, and which plans keep your data out of model training. If you already have a policy, the training follows it.
Can the training happen at our offices?
Yes, in person in Israel, or online for teams that work remotely.
What needs a person's approval?
That is part of the training itself: people learn to treat AI output as a draft, and to check facts, numbers and anything sent outside the business.
Not a fit
When this is not the right call.
- A one-off inspiration day with no follow-up. A lecture fits that better.
- A team that can't set aside time to practice.
- A list of ChatGPT tips to forward around.
- Training, when the real need is a system that does the work.
Next step
Start with a 20-minute call.
There are no prices on this site. After the first conversation you get a scoped proposal in writing. On WhatsApp, the message opens with a few short questions, so the first reply can already be useful.
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