Pre-workshop signal

AI readiness for real people, not imagined users.

This assessment helps us understand how you already use AI, how technically confident you are, what speed you work at, and what kind of support will actually help you. We use it to shape workshop delivery, follow-up resources, and the right next step inside Melbourne AI Hub.

Measures
AI habits

Frequency, tools, prompting, verification, and practical use.

Measures
Technical fluency

Files, spreadsheets, automations, APIs, and build confidence.

Measures
Execution pace

Desktop typing test when available, plus checklist and time capacity.

What you get back

You will get placed into a clearer content track instead of being treated like a generic attendee. That lets us pace the room better, spot potential builders and facilitators, and route people toward the right offers after the workshop.

Foundation
For cautious beginnersNeeds calm setup, language support, and early wins.
Operator
For practical implementersNeeds templates, workflows, and operational automation.
Builder
For independent moversNeeds more depth, systems thinking, and project reps.
Facilitator
For future contributorsNeeds rehearsal, visibility, and a lane to help others.

How we use it

Results are stored to help shape content, follow-up, and membership/product pathways. We are measuring readiness so we can support people more intelligently, not to exclude them.

What this assessment is designed to do

It is a signal layer for the workshop, member pipeline, and follow-up services. The same structure can be used for attendees, member applicants, and future facilitators such as Olu and Stephan.

Workshop pacing

We can tell whether the room needs more basics, more implementation detail, or more hands-on support.

Follow-up offers

We can segment who needs replay resources, who wants done-with-you help, and who is ready for membership or pilot work.

Facilitator development

The same scoring helps us identify who can support future sessions, build in public, or own a vertical such as energy and environment.

AI Readiness Assessment

Take five to eight minutes. The more honestly you answer, the better we can shape support.

Step 1 of 6

Identity and context

Step 1

Current AI habits

Step 2
Prompting confidenceCan you usually get a useful first answer?
Verification habitsDo you check claims, numbers, and assumptions before trusting outputs?
Workflow confidenceCan you turn AI output into an actual repeatable process?

Technical fluency

Step 3
Files and foldersFinding, renaming, saving, organising, and attaching files.
SpreadsheetsFiltering data, formulas, organising rows, basic dashboards.
Forms and admin flowsCan you build or manage a form-based workflow without getting lost?
No-code automationZapier, Make, n8n, rule-based automations, or similar.
Domains and web setupDNS, hosting, website setup, or connecting a live page.
APIs or integrationsConnecting services, webhooks, tokens, or platform integrations.
Terminal or command lineRunning commands, reading output, and staying calm when something errors.
Databases or structured dataTables, rows, fields, filtering, and basic data thinking.
Version control (git)Commits, branches, pulling updates, basic merge flow.
AI-assisted codingUsing Claude Code, Cursor, GitHub Copilot, or similar to build.
APIs with auth keysReading API docs, setting bearer tokens, handling JSON responses.

Execution speed and capacity

Step 4
Optional desktop typing check
We only show this when a keyboard-friendly device is detected. It helps estimate how fast you can move through live build exercises.
45s ready
AI becomes useful when you can move from idea to action clearly, document what changed, and keep refining until the workflow works in the real world.
WPM: --
Accuracy: --
Status: idle

Goals, blockers, and pathway fit

Step 5

Deeper fit — partner, member, or co-founder signal

Step 6

These questions help us see if the Hub's cooperative model fits what you're looking for. You'll only see this step when you've self-identified as a member, partner, or facilitator candidate — or when you're applying via the Partner form.

1 = strongly disagree · 5 = strongly agree. Be honest; a mismatch isn't a rejection.
Community outcomes over individual gain
Transparency over competitive secrecy
At-cost pricing over markup
Data cooperative over proprietary control
Long-term stewardship over short-term return

Your current fit and recommended track

Step 7

AI fluency

--

How comfortable you already are using AI tools and structuring output.

Technical fluency

--

How likely you are to survive a hands-on build without getting lost.

Execution readiness

--

How much pace, capacity, and independent follow-through you currently show.

Overall readiness

--

This score helps us shape pacing and follow-up, not gatekeep people.

Recommended track: --
Finish the previous steps and we will generate your current best-fit track here.