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.
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
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
Automation
Turning product photos into tags for online listings
E-commerce · Multi-brand fashion retailer
~80% less time spent tagging new products
Product tags across 6 categories, ready for review
Tagged product photos in bulk, let staff correct mistakes and exported the results for Shopify.
READPoC
Planning where to open next
Retail store expansion · Hypermarket retailer
A ranked shortlist of new store locations
Potential to cut hours of initial location research
Ranked areas for new stores using local demand, costs, existing stores and nearby competitors.
READAutomation
Mapping how the world's media covers a story
Media research · News aggregator
Less collecting. More analysis.
Relevant articles and structured findings in one place
Collected articles and organised their analysis around a research framework, with source links for human review.
READOur 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.
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.
SO...
When anyone can build anything with AI, two human roles become more valuable, and harder to find.When anyone can build anything with AI,
two human roles become more valuable, and harder to find.
The rapid experimenter
A curious builder who keeps finding new things worth building with the latest AI tools.
The evaluator
A domain expert who can quickly tell what’s worth using from what’s AI slop, and can explain why.
One explores what is possible.The other decides what is valuable.Businesses will need both.One explores what is possible. The other decides what is valuable.
Businesses will need both.
Minisodas Labs
A free, invitation-based platform for publishing and finding AI experiments that solve real business problems.
- For students & buildersAdd to your portfolio by publishing practical AI experiments under your name, in one standard format, and get discovered by businesses.We call you an experimenter.
- For domain expertsBuild your standing as someone who knows what AI can really do in your field by publishing your verdicts on the latest AI experiments.We call you an evaluator.
- For businessesCompare AI experiments in your industry at a glance.Discover new ways of using the latest AI capabilities and connect with the people shaping them.
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 .
That's it.
- Invite
The top profiles are invited to submit their experiments.
- Shortlist
The top submissions are shortlisted.
- Publish
Only the most useful ones make it to the Labs page.
One place. Standard format.
Measured outcomes. Real people behind them.