> describe_it
Describe it
If nobody can write down the steps, the task is not ready. Every step must be a digital transformation you can name.
manifesto
The process comes before the AI
Most AI projects fail before the first prompt, because nobody could say exactly what the work was. We start there.
This is what Scale By Tech believes about putting AI agents to work in real companies, and how the AI Workforce Club teaches it.
we_believe
sec 01 / 03
- 01
A thorough process description beats any model.
- 02
AI-enable the employee before the organisation.
- 03
One task first. Expand when it works.
- 04
Adoption is the only result that counts.
- 05
Tools come after the outcome.
principles
sec 02 / 03
> keep_review
Keep a human in review
The agent prepares, a person checks, then it goes out. Outputs stay visible. Nothing is presented as unsupervised autonomy.
> schedule_it
Schedule it
Recurring work runs on a schedule, not on memory. A task that works once becomes a task that runs every day, week, or month.
> earn_the_interface
Earn the interface
When several people need the workflow, give it a microapp: one job, ships as a link, no secrets in the client, a backend only when it has earned one.
why the small tasks first
AI sticks when it is used daily. The fastest way to daily use is one person's own repetitive task: the inbox, the receipts, the weekly report. Those are the easiest to adopt, so that is where every implementation starts, whether inside the club or in a company Hans works with.
what_it_means_for_you
sec 03 / 03
Put AI agents to work.
Learn to build useful agents that handle the recurring work on your plate. From inbox and data entry to reports and content.
- → Your first useful agent running in week one
- → No coding experience needed
join
Get the recurring work off your plate.
Build your first useful agent in week one, then keep expanding what it can handle.
$8/month · Your founding price is locked for life. The price rises at 50 members. Start free. Cancel anytime.
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