Flieber Studio is the AI layer for commerce operations. Type what you need in plain text — Studio builds the app, workflow, or agent that does the work. It speaks commerce: the use cases, the math, the way ops actually runs.
The work doesn’t just slow you down. It hideswhat needs attention.
The Monday reorder review. The reconciliation between your sales channels. The spreadsheet nobody else can rebuild. The supplier confirmation that triggers four downstream tasks. The follow-up with your supply chain operators.
Studio builds agents that don’t just automate the work — they detect risks, surface opportunities, and recommend what to do next, so your team can act before problems hit the numbers.
Less busywork. Fewer missed signals. Faster action.
Every example here is something Studio does today.
Apps
Workflows
Agents
A live app, built once.
Every Monday, send a report of the products with stockout risk to my #operations and #marketing channels on Slack.
→A live dashboard tailored to your operation, used every day.
Shipped today: ask → app, ask → workflow, and basic agents. More advanced inbound-monitoring agents in development .
From prompt to running ops.
Describe what you need. Studio builds it — then keeps it running, on its own.
Build itRun it
Describe → ship, in four steps.
01
Describe it.
Plain language. Reference your SKUs, channels, suppliers, margins, lead times — Studio already speaks commerce.
02
Studio drafts it.
You see exactly what Studio built and the logic behind it before anything ships.
03
Review, refine, ship.
Adjust the rules, change the thresholds, edit the output format. Then turn it on.
04
Edit anytime.
Studio remembers what you built. Change the prompt; it rebuilds.
Onboarding is free. Our team gets you live.
Agents act.You define the boundaries.
Autonomous — not unaccountable.
01
Explicit approval steps.
Every action surfaces exactly what will happen before you approve — the data it touches, the systems it writes to, the message it sends. Nothing irreversible happens without your sign-off.
02
Traceable decisions.
Every recommendation shows its reasoning: the data it used, the rules it followed, the alternatives it considered. You always know why Studio did what it did.
03
Full audit trail.
Every action is logged — what ran, when, who approved it, on what data. The complete record, always.
Why not a generic AI?
Generic tools build whatever you describe. That works — until the work depends on commerce- specific calculations, jargon, and processes that need to be understood, not just executed.
Generic AI
Builds whatever you describe — fine for general apps
Doesn’t know what cover days or lead times mean
Treats reorder logic as something to execute, not understand
Breaks on commerce-specific math and jargon
Flieber Studio
Knows what cover days and lead times mean
Understands what FBA fees do to margin
Knows how reorder logic actually works
Knows why a stockout costs more than the missed sale
You describe ops the way you’d describe them to a very knowledgeable colleague who already knows commerce — because that’s what Studio is.
Better together
Pair it with Flieber Inventory.
Inventory is the planning depth Studio works on top of. Its forecasts and recommendations feed Studio’s workflows and agents — so the automation is grounded in real planning, not guesswork.
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