Good fit
- You can name up to five priority screens.
- The repository builds and has an accountable owner.
- You want implementation, not mockups alone.
- You can review one consolidated revision cycle.
FIXED SCOPE · IMPLEMENTED IN YOUR REPOSITORY
In 7–10 business days, SaveX audits the journey, compares 2–3 design directions, implements the selected direction in your existing frontend and attaches evidence for every quality claim.
Pilot: €1,900 for the first three approved engagements that allow an anonymised case study. Applicable taxes are excluded. Merge and production deployment require separate approval.
A CLEAR YES OR NO
WHAT YOU RECEIVE
Audit the current journey and compare two or three distinct AI Studio/Stitch directions.
Record the selected direction, rejected alternatives, trade-offs and measurable success criteria.
Translate the decision into vendor-neutral tokens, responsive states and production-oriented frontend code.
Attach visual, accessibility, performance and applicable GEO/SEO evidence to a Draft Merge Request.
CONTROLLED DELIVERY
FIXED COMMERCIAL BOUNDARY
One fixed engagement covers up to five agreed screens, one consolidated revision cycle and the complete evidence package. Work outside that boundary starts only after a written change request.
BEFORE YOU BOOK
Both, but the repository implementation is the delivery source of truth. Variants and the design decision exist to support the implemented result.
No. Backend, API and database work is excluded unless separately scoped. Production deployment is not included.
No unsupported guarantee is made. Conversion claims require a verified baseline and comparable post-release measurement.
The intake is reviewed for scope fit. A proposal must confirm the repository, five-screen boundary, commercial terms, contact channel and legal entity before booking.
START WITH FACTS
The local intake builder prepares a structured brief on your device. It does not transmit data and deliberately excludes passwords, API keys, unnecessary personal data and production datasets.