Create with context
Turn a product brief into an image, an approved scene into a clip, or a lesson script into narration. Your app decides which inputs and choices its users see.
The Wise Bubbler · Managed AI for Bubble
Build a useful AI tool around your customers’ work. Connect generation to their projects, files and approval steps, with one managed account for your app.
Demos start with prepared briefs and shot suggestions. You choose when to generate; preparing a plan does not spend AI credits.
A model call is only one part of an AI app. Your customers also need a place to supply inputs, check progress, review a result and find it again. The managed connector gives your Bubble workflows a shared way to submit and track generation. The included building skill helps you wire those steps into the app you already have.
Turn a product brief into an image, an approved scene into a clip, or a lesson script into narration. Your app decides which inputs and choices its users see.
Associate each generation with its user and project. Save the job reference so a page reload does not force the customer to start a paid generation again.
The app’s customers share its monthly managed credits. Provider credentials stay on the server; your app connects with its private managed credential.
Start with one useful job: make a product visual, create a short scene, or narrate a lesson. Decide what a good result looks like before adding model options.
Use the building skill with your supported AI coding assistant to inspect the app, choose the inputs, and wire submission, progress, result review and saving. Review changes in development first.
Submit a job from Bubble, retrieve its result, and save the file your product needs. A provider URL is not a permanent asset library.
The skill is a set of instructions and reference material for an AI coding assistant. It helps the assistant understand the plugin and adapt workflows to an existing Bubble app. It is included with the managed service. Your assistant still needs access to your app and suitable editing tools; installing the plugin alone does not build the interface or grant that access.
Search the fal catalog and connect compatible queue inference endpoints through a model ID and model-specific JSON inputs. Running a request requires schema validation, provider access and verified pricing. A catalog listing is not a guarantee that the model can run: models without a supported usage quantity stay unavailable until configured. The service does not promise that every catalog model has been tested.
Realtime sessions, streaming generation and training are separate integrations. A new model may need different input fields and result handling; choosing its name alone does not adapt your interface.
Technical references: fal queue and result documentation · Bubble server-side plugin actions.
One managed plan
$30 in AI credits included.
Plan details & account →Subscription availability is shown on the account page.
Credits reset monthly with no rollover. Your app’s users share its allowance. Eligible requests use verified fal unit prices and supported usage quantities. Credits are reserved before generation and reconciled to actual provider costs afterward, which can take over an hour. Different models and settings use different amounts. There are no automatic overage charges.
Bubble hosting, your AI assistant and any other services your app uses are separate. Review the selected model’s terms for your intended use.
The managed service uses The Wise Bubbler’s provider account. Connect your Bubble app using its private managed credential. The separate free plugin is for builders who want to use their own fal account.
It includes the integration and building skill. The demos are examples of workflows you can adapt. Your pages, data model, permissions, saved media and customer experience belong to your app.
Model inputs and outputs differ. When you switch models, check the endpoint’s fields, required files, output format and cost, then test the same workflow before making it available to customers.