01Lived insightSee what generic tools miss.02Working systemBuild around the real workflow.03Independent productOperate, learn, and prepare to grow.
Products in the labHealthcareCulinary systemsFamily coordinationBuilt in Vermont
Work from the lab
Proof, not pitch decks.
Each product starts with knowledge that is hard to capture in a generic tool. The work is to turn that knowledge into a system people can actually use.
Live · 7-day trialExpert partnership
Case study 01
GelatoLab
Built with gelato expert Morgan Morano on the Recipi platform.
Professional formulation and production software that turns decades of gelato knowledge into practical tools for makers and kitchens.
Formulate and balance recipes with real-time feedback
Scale batches without breaking ratios
Keep recipes, changes, and production work connected
A private workspace for families and nannies to coordinate schedules, daily plans, care notes, hours, and payments.
FamilySpace began with a practical need close to home: shared childcare was spread across messages, calendars, and payment math. The prototype brings the working day into one calm, role-aware place.
With Golisano Children's Hospital at UVM Medical Center.
A secure, offline-first platform connecting providers and young people through personalized well-being action plans.
Plans can move across hospitals, schools, community settings, and personal devices while keeping crisis resources and next steps available—even without a connection.
This is not a handoff to a distant delivery team. The product takes shape through direct decisions with the people who understand the workflow and the edge cases.
01
Observe
Start with the work as it really happens.
Map the decisions, exceptions, and workarounds that generic software flattens or ignores.
02
Build
Make the smallest system worth relying on.
Ship a focused product, test it in the real workflow, and keep technical choices ready for production.
03
Operate
Learn until the product can stand on its own.
Stay with the product through real use, refine what matters, and prepare it for independent growth.
Focused by designOnly a small number of active products at a time.
Aligned for the long termEngineering decisions serve the product, not a statement of work.
Independence built inEach product is structured to grow beyond the lab.
AI-native engineering
The final 10% carries the risk.
AI can accelerate research, prototyping, and implementation. That makes experienced engineering judgment more important—not less.
Fast output is only valuable when the whole system holds.
AI can get software most of the way to a working result. The difficult part is closing the gap: fitting changes into the architecture, protecting data boundaries, finding real failure modes, and knowing what is safe to release.
That critical final stretch is not a review added at the end. It is experienced judgment applied throughout—directing the tools, constraining the implementation, validating the details, and remaining accountable for the result.
AI expands what can be built.Experience determines what can be trusted.
Jordan MoranoFounder · Product engineer
The person behind the lab
Senior attention, close to the problem.
Jordan builds and operates the products in the lab, working directly with the people whose expertise shapes them.
Turnstone stays intentionally small so product decisions do not disappear into layers of account management. The work moves from conversation to prototype to production with the same engineering partner in the room.
Based in Richmond, Vermont, Turnstone is interested in ideas grounded in real practice—especially where an expert has already found a better way to work and needs the right product to carry it further.