However, when I bind it to the Text widget, FlutterFlow is treating the binding as a literal text token/placeholder instead of evaluating it to the actual rendered value from the API. From internet searches - This is a known FlutterFlow binding quirk with API responses (especially OpenAI-compatible chat completions like Grok). The editor sometimes "tokenizes" the reference instead of resolving it at runtime. Any guidance is appreciated.

I’m using App State to parse values into the initial values of the form fields. Each form includes the document list component. When a user taps on an item in the list, an API is called to fetch the document details, and the result is saved into the App State.

However, the form does not seem to re-render when the App State is updated. I also tried using Call back, Reload Page, App Events,..., but they didn’t work.

Could anyone please help me understand why the form is not re-rendering after the App State update? Any suggestions or guidance would be greatly appreciated.

Thank you in advance for your support!

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onTap: () async {

currentUserLocationValue =

await getCurrentUserLocation(

defaultLocation: LatLng(0.0, 0.0));

final selectedMedia =

await selectMediaWithSourceBottomSheet(

context: context,

imageQuality: 100,

allowPhoto: true,

);

if (selectedMedia != null &&

selectedMedia.every((m) =>

validateFileFormat(

m.storagePath,

context))) {

safeSetState(() => _model

.isDataUploading_tempMainPhotoFile =

true);

var selectedUploadedFiles =

<FFUploadedFile>[];

try {

selectedUploadedFiles =

selectedMedia

.map((m) => FFUploadedFile(

name: m.storagePath

.split('/')

.last,

bytes: m.bytes,

height: m.dimensions?.height,

width: m.dimensions?.width,

blurHash: m.blurHash,

originalFilename:

m.originalFilename,

))

.toList();

} finally {

model.isDataUploadingtempMainPhotoFile =

false;

}

if (selectedUploadedFiles.length ==

selectedMedia.length) {

safeSetState(() {

model.uploadedLocalFiletempMainPhotoFile =

selectedUploadedFiles.first;

});

} else {

safeSetState(() {});

return;

}

}

_model.mainPhotoUploadResult =

await actions.uploadPhotoAndGetExif(

model.uploadedLocalFiletempMainPhotoFile,

);

_model.memoryMainPhoto =

_model.mainPhotoUploadResult;

safeSetState(() {});

if (FFAppState().memoryMainPhotoLocation != null) {

var confirmDialogResponse =

await showDialog<bool>(

context: context,

builder: (alertDialogContext) {

return AlertDialog(

title: Text('Photo Location Found'),

content: Text(

'Your photo has a GPS location. Would you like to use it as the memory location?'),

actions: [

TextButton(

onPressed: () => Navigator.pop(

alertDialogContext, false),

child: Text('Cancel'),

),

TextButton(

onPressed: () => Navigator.pop(

alertDialogContext, true),

child: Text('Confirm'),

),

],

);

},

) ??

false;

if (confirmDialogResponse) {

FFAppState().draftMemoryLatLng =

FFAppState().memoryMainPhotoLocation;

await FFAppState()

.draftMemoryRef!

.update(createMemoryRecordData(

memoryMainPhoto: _model.mainPhotoUploadResult,

memoryLocation:

FFAppState().memoryMainPhotoLocation,

));

safeSetState(() {});

await Future.delayed(

Duration(milliseconds: 450),

);

_model.photoReverseGeocode =

await ReverseGeocodeCallCall.call(

latlng: functions.latLngToString(

FFAppState().memoryMainPhotoLocation!),

);

FFAppState().draftMemoryFormattedName =

getJsonField(

(_model.photoReverseGeocode?.jsonBody ?? ''),

r'''$.results[0].formatted_address''',

).toString();

FFAppState().draftMemoryFormattedAddress =

getJsonField(

(_model.photoReverseGeocode?.jsonBody ?? ''),

r'''$.results[0].formatted_address''',

).toString();

FFAppState().draftMemoryCountryName = functions

.getCountryNameFromPlaceDetails(

(_model.photoReverseGeocode?.jsonBody ?? ''))!;

FFAppState().draftMemoryCityName = functions

.getCityFromPlaceDetails(

(_model.photoReverseGeocode?.jsonBody ?? ''))!;

FFAppState().draftMemoryCountryCode = functions

.getCountryCodeFromPlaceDetails(

(_model.photoReverseGeocode?.jsonBody ?? ''))!;

await FFAppState()

.draftMemoryRef!

.update(createMemoryRecordData(

memoryFormattedAddress:

FFAppState().draftMemoryFormattedAddress,

memoryLocationName:

FFAppState().draftMemoryFormattedName,

memoryCountryCode:

FFAppState().draftMemoryCountryCode,

memoryCountryName:

FFAppState().draftMemoryCountryName,

memoryCityName:

FFAppState().draftMemoryCityName,

memoryLocation: FFAppState().draftMemoryLatLng,

));

await FFAppState()

.draftMemoryRef!

.update(createMemoryRecordData(

memoryLocation:

FFAppState().memoryMainPhotoLocation,

));

safeSetState(() {});

await Future.delayed(

Duration(milliseconds: 250),

);

await _model.googleMapsController.future.then(

(c) => c.animateCamera(

CameraUpdate.newLatLng(FFAppState()

.memoryMainPhotoLocation!

.toGoogleMaps()),

),

);

ScaffoldMessenger.of(context).showSnackBar(

SnackBar(

content: Text(

'✅ Location set from photo',

style: TextStyle(

color: FlutterFlowTheme.of(context).primaryText,

),

),

duration: Duration(milliseconds: 4000),

backgroundColor:

FlutterFlowTheme.of(context).secondary,

),

);

} else {

if (FFAppState().draftMemoryFormattedAddress ==

null ||

FFAppState().draftMemoryFormattedAddress == '') {

await FFAppState()

.draftMemoryRef!

.update(createMemoryRecordData(

memoryLocation: _model.currentUserLocation,

));

}

ScaffoldMessenger.of(context).showSnackBar(

SnackBar(

content: Text(

'"📷 No GPS found — keeping current location',

style: TextStyle(

color: FlutterFlowTheme.of(context).primaryText,

),

),

duration: Duration(milliseconds: 4000),

backgroundColor:

FlutterFlowTheme.of(context).secondary,

),

);

}

} else {

if (FFAppState().draftMemoryFormattedAddress ==

null ||

FFAppState().draftMemoryFormattedAddress == '') {

await FFAppState()

.draftMemoryRef!

.update(createMemoryRecordData(

memoryLocation: currentUserLocationValue,

memoryFormattedAddress:

FFAppState().draftMemoryFormattedAddress,

memoryLocationName:

FFAppState().draftMemoryFormattedName,

memoryCountryCode:

FFAppState().draftMemoryCountryCode,

memoryCountryName:

FFAppState().draftMemoryCountryName,

memoryCityName: FFAppState().draftMemoryCityName,

));

}

ScaffoldMessenger.of(context).showSnackBar(

SnackBar(

content: Text(

'📷 No GPS location found in photo — keeping current location',

style: TextStyle(

color: FlutterFlowTheme.of(context).primaryText,

),

),

duration: Duration(milliseconds: 3000),

backgroundColor:

FlutterFlowTheme.of(context).secondary,

),

);

}

safeSetState(() {});

},

This is a hands-on role for someone who can build clean, production-ready apps, integrate APIs, and ship features quickly.

What you’ll do:

• Build and maintain FlutterFlow applications

• Deliver clean, pixel-perfect UI/UX

• Integrate APIs (auth, data handling, error states)

• Collaborate with product and tech teams to ship features

• Use AI tools to improve speed and workflow

Requirements:

• Proven experience building FlutterFlow apps

• Strong UI/UX execution

• Experience with API integrations

• Ability to work independently and communicate clearly

• Comfortable using AI tools in development workflows

Nice to have:

• Experience with dynamic or scalable UI systems

• Experience building AI-powered applications

I’m currently working on a small academic tool in FlutterFlow and need some guidance on implementing a dynamic weighted grade calculator.

The goal is to allow users to:

• Add multiple subjects dynamically

• Input grades and corresponding unit values

• Automatically compute a weighted average based on total grade points and total units

The calculation itself is straightforward (weighted average), but I’m trying to figure out the best way to structure this inside FlutterFlow.

Specifically, I’m unsure about:

• Managing dynamic form inputs (adding/removing rows)

• Storing multiple values efficiently (lists vs app state)

• Performing real-time calculations without making the UI laggy

• Keeping the logic clean and scalable

I created a basic web version to test the calculation logic and flow: https://gwa-calculator-phi.vercel.app/

Now I’m trying to translate this into FlutterFlow’s visual builder and backend logic.

If anyone has worked on something similar (calculators, dynamic forms, or multi-field computations), I’d appreciate any advice, best practices, or recommended structure.

Thanks in advance!