Inbox Copilot
This case study covers work at Brex and is password protected.
Don't have the password? Email myrto.grigori@gmail.com and I'll send it over.
I grew up in Greece, trained as an architect in Rome and Milan, and have spent fifteen years designing across physical space, digital products, and objects in four countries.
After leading design teams at Gensler and WeWork, I moved deliberately into product design, working on trust-sensitive platforms at Brex, Alfred, and Blueground. I also run Noiro Studio, an award-winning sculptural lighting practice where AI supports concept development and visualization throughout my process.
I'm a mother, a founder, and a designer who knows what it means to make hard decisions.
Every project below deals with the same problem: helping someone act with confidence when they are delegating control, working with incomplete information, or making a decision that compounds over time.
When a system acts on your behalf, scope, consequence, and control need to be visible, not assumed.
The moments that matter most in high-stakes products are the ones just before someone decides to let go.
AI doesn't eliminate ambiguity. The designer's job is to make that ambiguity navigable.
Two shipped products, in fintech and home services, and one speculative AI product with a working prototype. Open any case study for the full story.
This case study covers work at Brex and is password protected.
Don't have the password? Email myrto.grigori@gmail.com and I'll send it over.
This case study covers work at Alfred and is password protected.
Don't have the password? Email myrto.grigori@gmail.com and I'll send it over.
A career companion for working mothers that gets more useful the longer she uses it, because it remembers what happened across pregnancies, re-entries, and pivots.
Every year, hundreds of thousands of ambitious women face the same question: what do I do about work now that I'm a mother? It arrives in the worst possible conditions: physical recovery, a newborn, an identity under reconstruction.
These conditions don't resolve cleanly. The median gap between a first and second child in the US is about 2.5 years, so many women face the decision again before recovering from the first time, with more financial pressure and a toddler in the picture. Each pregnancy is a new chapter in an ongoing story, not a reset.
This isn't hypothetical for me. I am the user, and the absence of a tool like this has already cost me clarity and time.
of mothers report subjective cognitive decline postpartum (JAMA Neurology, 2023)
brain structure remains altered postpartum (Nature Neuroscience, 2017)
median gap between first and second child (US Census Bureau)
reduction in female earnings after children (NBER Child Penalty Atlas, 2023)
Most women decide at 6 to 8 weeks postpartum, at the peak of the fog. The tool has to meet them before that and hold their thinking until they're ready.
Women on their second leave described starting from zero. The path they chose, what it cost, what they learned: none of it carried over.
Women underestimated the cost of two leaves. The surprise wasn't the salary gap but the lost negotiating leverage and network access.
Compare take-home pay with childcare cost. Miss career trajectory, seniority loss, and re-entry penalty.
Built for compliance, not decisions. Used once per leave, with no memory between them.
Validates feelings without the financial reality. Treats each postpartum period as isolated.
Frameworks that assume continuity. Not fluent in postpartum economics or multiple leaves.
Every tool treats each pregnancy as a new user. The value is in what the tool remembers between decisions.
Return meets her at five moments per child, from the third trimester, when she is clearest-headed, through the fog peak at 6 to 8 weeks, the end of leave, the 12-month check-in, and the re-entry window. Each moment carries a different cognitive load, so the tool asks different questions at each.
Current role, full hours.
Fewer hours or lighter role.
Own schedule.
Step back, return later.
New employer on re-entry.
Any path can be modeled with or without a job change, including what a 15 to 20% salary uplift on re-entry does to the 36-month projection. Paths are hypotheses: Return tracks what was chosen against what actually happened.
A recurring conversation with memory. She describes where she is now, picks up to three paths to model, and sees a 36-month projection of net income after childcare, career trajectory, and wellbeing, with AI insight on demand.
The second pregnancy, when Return already knows her story. This is the interaction no other tool can have.
It opens with her history, not a blank form."Last time you chose reduced hours. You described the mental load as manageable by month 8."
It names what has changed."Your salary is 12% higher. Your first child starts pre-K at month 6, which changes the cost model."
It asks the question she couldn't answer last time."You weren't sure about your employer's flexibility. You now have 12 months of real data. What did you learn?"
Return hasn't shipped commercially. Every woman I spoke to recognized the decision immediately, and none had modeled paths side by side. I also ran my own decision through the framework before designing the product: modeling both children, naming the mental load, and having context from my first return produced more clarity in 20 minutes than months of thinking alone.
If it shipped, I'd measure: whether she returns for her second leave (the core signal), whether she uses it in the third trimester or at the fog peak, how closely her 12-month results match the model, and whether employers see lower postpartum attrition.
Copilot asked how you delegate without losing control. Price Transparency asked how you act on incomplete information. Return asks both, and adds a third question: how do you design for a decision that repeats, compounds, and gets harder to undo the longer it goes unsupported?
A one-time tool serves a moment. A companion earns a relationship that gets more intelligent over time.
If that's the kind of work you're building, let's talk.