Restaurant decision loop
From delivery to the next informed action.
gastrotech workbench
GastroFlow
A focused build space for exploring how food, context, and software can become one product experience.
Open repositoryOperational model
Restaurant decisions, made observable.
Product and event infrastructure
The console, domain model, and live operational updates.
Legend
Synchronous requestAsynchronous eventInternal flowProcess or serviceState store
What this is
The work stays close to the table.
GastroFlow is the project route for the Gastrotech Pioneer thread: a place to develop the product language, flows, and technical experiments behind Munch. It is intentionally allowed to evolve as the idea becomes more concrete.
How it moves
The useful part is the sequence, not just the ingredients.
- 01
A food or hospitality question becomes a product hypothesis.
- 02
The hypothesis becomes a small, testable interaction.
- 03
The system records context without flattening the human signal.
- 04
Live feedback shapes the next experiment.
Practices in view
Patterns that keep the system understandable as it grows.
Start with domain language
Keep taste, context, hospitality, and participation visible in the product model before choosing technical abstractions.
Make experiments reversible
Small boundaries and observable workflows make it easier to learn without locking an emerging category into one early shape.
Keep AI in context
Use intelligence to extend discovery and personalization while keeping consent, provenance, and human judgment in the loop.
Possible next connections
Where this foundation could connect next.
WebSockets
Useful for shared tasting notes, kitchen state, availability, and other experiences where the interface should feel alive.
Temporal
A fit for reservations, preparation windows, fulfillment steps, and other journeys that unfold over time.
Kubernetes
A possible foundation when product experiments become independent services with different traffic and operating needs.
Why it is here
Some projects prove a pattern; this one gives the pattern a domain. The point is to keep the technical exploration visible while the category itself is still being defined.