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In this brave new world, make rapid experimentation with AI your moat.

Minisodas turns emerging AI capabilities into measured experiments for real business workflows.

TEST

the latest
AI stack

MEASURE

against a
baseline

DEPLOY

only what
performs

Intelligence is abundant

Thanks to the latest AI models and the speed at which they're getting even better.

A new world is being shaped right before our eyes.

Speed is an advantage

Things are now changing within days instead of months.

Keeping the testing → deployment loop short is a way to stay ahead of the curve.

Outcomes over "it works!"

Making it work is the easy part.

Real outcomes are achieved by measuring AI workflows against baselines and beating them.

Humans stay in the loop

Human approval and auditability matters.

Intelligence inside a black-box cannot be harnessed efficiently.

Case studies

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All case studies

Our prediction about the future of work

We believe AI will reshape most human work around two roles. But before we get to these roles, a fair question:

Will humans even be needed?
Won't AI replace us?

“Imagination is more important than knowledge”
—This em dash was not generated by AI :) Albert Einstein

And AI is not the best at it.

Einstein's “jump”

In a 1952 letter, Einstein drew discovery as a loop.

What we observe cannot lead us straight to a new idea. Someone has to imagine it, that is, they have to make the “jump”. Then logic and experiments test it.

Einstein's discovery loopWhat we observe leads through an imaginative jump to a new idea. Logic produces predictions, and experiments test those predictions against what we observe.A NEW IDEAWHAT IT PREDICTSWHAT WE OBSERVEJUMPLOGICEXPERIMENTS
A simplified version of Einstein’s 1952 sketch

“LLMs can’t jump”

Google DeepMindRead the full paper

This position paper argues that current LLMs can easily find patterns and reason from ideas they are given.

What they still struggle with is forming a good-quality new idea itself, which requires the “jump”.

That's why, we believe human jumps will remain important for discovering new ways of harnessing the latest capabilities of AI.

OURBET

AI-powered work will increasingly
depend on two human roles
working together.

The rapid experimenter

A curious builder who finds new ways to use the latest AI tools and tests them quickly.

The evaluator

A domain expert who checks the work and decides what is good enough to use.

One explores what is possible.The other decides what is valuable.Businesses will need both.

Minisodas Labs is being built for this future.

Minisodas Labs

An invitation-based platform for people who like automating uncreative tasks and experimenting with AI.

  • For students & buildersAdd to your portfolio by publishing practical AI experiments in one standard format and get discovered by businesses.We call them experimenters.
  • For domain expertsIncrease your reach by rating published AI experiments within your domain, and put your name behind the ones that hold up.We call them evaluators.
  • For businessesDiscover the people behind AI experiments that delivered on workflows like yours.All experiments are laid out in one simple format so you can compare them at a glance.

All the ways a business could use AI

What is found on the internet
/ LLMs suggest doing

What's worth trying

What actually delivers
valuable outcomes

This is what makes it to the
Labs page

How do we ensure this?

By keeping the bar high.

That's it.

  1. Invite

    The top profiles are invited to submit their experiments.

  2. Shortlist

    The top submissions are shortlisted.

  3. Publish

    Only the most useful ones make it to the Labs page.

One place. Standard format.
Measured outcomes. Real people behind them.

Join the waitlist

Book a scoping call

Tell us a little about what you need, and we'll set up a time to talk it through.

What do you need help with?