What have you already built, that you've never called building?

Loops & Falls is a peer space for women's AI literacy.

Abstract watercolour painting of three women's heads in profile overlapping
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Mission
Women trade real world judgment for less fear of new tools, across generations, as equals.
Online, open to every woman, no cost, no ID required.
84%

Australian workers use AI

7%

Have advanced literacy

49%

Are self-guided learners

3%

Get ongoing support

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Philosophy

What we stand for.

01

Rigorous kindness is the one rule.

We tell each other the truth. Then we stay with you to rebuild it. Honesty without harshness. No arseholes.

02

You bring something. I bring something.

We're not experts talking down. We're women figuring it out together. You bring your judgment. You don't replace it with the machine.

03

Simple language. Keen attention.

AI sounds certain even when it's wrong. Catching that part is yours to do. Curiosity, pattern-matching, judgment. You already speak the language the machine runs on.

04

Location shouldn't decide who gets in.

Neither should money, or time. We're online only. For women everywhere, wherever you're starting from.

Four women standing together in varied tones
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FAQ

Questions & Answers.

Two women seated in conversation with minimalist line work

Goodsomeday funds Loops & Falls, a free, open community where women build confidence directing AI tools. Membership is free and stays free. Member data is never sold or shared. Client work is delivered by small teams drawn from that community, paid collectively and split equally. Mel holds the ABN. Goodsomeday and Loops & Falls are branches of it. Two names, one accountable person.

Every woman, wherever you're starting from. Feminist allies too. Online only, no cost, no ID required. One rule about being decent to each other. Women trade what they already know for what they don't, across generations. When paid client work comes through, it goes to the women in the room.

RMIT Online and Deloitte Access Economics surveyed 2,025 Australian workers in January 2026. 84% use at least one AI tool at work. 7% reach advanced AI literacy. Advanced technical skill sits at 21%. Advanced judgement and evaluation sits at 11%. The scarce skill is knowing a good answer from a bad one. Women do that work constantly and rarely count it as a skill.

Builds, automations, and AI wired into the tools you already run. We scope the job, build it, and hand it over documented. Clients are funded startups and small teams.

A small team of three or more, formed for your job and dissolved when it's done. The team is paid collectively and the fee is split equally. Goodsomeday holds the contract and carries the liability. Two people sign off every delivery before it reaches you.

Anyone in the community who commits to a posted job inside the response window goes into a draw. The team is picked from that. No CV filter, no discretion, no seniority. CVs measure who's had access to paid work. That's a poor predictor of how a team performs. What predicts it is psychological safety and how a group communicates, which is what the community is built to produce.

Jobs start at $6,000. Most discrete builds land between $10,000 and $15,000. If the job's smaller than that, we'll tell you and point you somewhere better.

A team formed for one job has no shared working history at the start. Every newly assembled team carries that, in-house teams included. It's absorbed by tight scoping, a documented handover, two-person sign-off from job one, and Goodsomeday's contractual accountability. If something goes wrong, you're dealing with us.

Work better served by an in-house hire. Work under the price floor. We'll tell you which it is, and what to look for instead.

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Resources

What's coming.

coming-soon

The Disclosure Scripts

Building tools and resources together with our community.

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Join

Join the room.

You manage people's expectations. You figure out what nobody explained to you. You run households. You hold teams together. You know how to direct complexity. You already speak the language AI runs on.

There's no manual for this yet. Getting it wrong is part of how we write one.

Together.