Create websites with Bubble AI Website Generator

AI App Generator

Bubble’s AI app generator translates a short prompt into a full application scaffold, producing pages, elements, database types, and common workflows. The output supplies a working prototype that you can refine with the visual editor, cutting setup time and lowering technical overhead. Designers can modify layout, developers can adjust logic, and collaborators can iterate on live previews. Generated structures are exportable inside the Bubble environment, letting teams iterate rapidly while keeping control of architecture, permissions, and deployment pipelines and governance.

AI Page Designer

Bubble’s AI page designer crafts layouts from simple instructions, arranging headers, content blocks, images, and calls-to-action with visual hierarchy in mind. It suggests color palettes and font pairings consistent with accessibility guidelines, and produces responsive arrangements for desktop and mobile breakpoints. Generated pages become editable components inside the visual editor, so teams can tweak spacing, interactions, and microcopy without rebuilding. This workflow accelerates prototype iterations and preserves design consistency across multiple pages, saving time during launch planning and user testing.

External AI Integrations

Bubble provides connectors for external AI services, enabling integration with models for chat and summarization tasks. Developers can plug in APIs like OpenAI or alternative providers to power chatbots and content generation inside workflows. Those connections are scriptable through standard API calls and secure key management, allowing rate control and error handling. By combining Bubble’s visual logic with third-party models, teams can implement conversational interfaces, automated content pipelines, and custom ML-powered features without rewriting backend services or managing plugins externally.

AI Copy Assistant

An integrated copy assistant generates headlines, section text, product descriptions, and microcopy tailored to tone and audience. Users provide brief direction, then the assistant proposes multiple variants that fit layout constraints and character limits. Generated text is editable and can trigger workflows for A/B testing or programmatic localization. With inline previews, teams can compare alternatives, measure engagement through analytics hooks, and push favored versions live. This tooling speeds content production while preserving brand voice and reducing repetitive writing tasks quickly.

AI Automation & Workflows

AI features can augment workflows by routing tasks, classifying inputs, and making conditional suggestions based on user behavior signals. Predictive rules integrate with existing workflow actions so automation can trigger emails, adjust user permissions, or launch background jobs when certain patterns emerge. Administrators configure thresholds and logging to retain auditability while models handle repetitive decisions. This reduces manual overhead for operations, shortens feedback loops for product teams, and supports scalable rule sets that adapt as usage patterns shift with growth.

Data Schema Generation

AI can suggest a database schema based on app intent, proposing data types, relationships, and initial record structures that match planned features. Generated models include common fields for users, content, and transactional records, plus indices for query performance. Teams receive a draft schema that plugs into Bubble’s managed database, where migrations and permission layers are configurable through the editor. This scaffolding reduces early architecture mistakes, accelerates prototype stability, and gives nontechnical founders a clear data model to validate product assumptions.

Visual Editor & No-Code Logic

The visual editor combines drag-and-drop composition with AI suggestions for element placement, responsive behavior, and workflow triggers. Users adjust properties, set visibility rules, and tie UI events to backend actions without writing code. AI recommendations help align spacing, suggest accessible contrast, and propose interaction patterns that reduce friction for end users. Since pages and workflows live in the same environment, testing and iteration happen immediately. Teams can assign roles, track changes, and revert states to protect production stability during updates.

Deployment & Cross-platform

Bubble supports publishing web apps with built-in hosting and offers paths for native mobile packaging using wrappers, enabling distribution through app stores when required. A single backend and database serve web and mobile frontends, reducing duplication and simplifying user session handling. Deployment controls include custom domains, SSL, and environment separation between development and live instances. Teams can monitor app performance, scale resources with subscription tiers, and roll back releases if regressions appear, making operational management approachable for small teams consistently.

amer on Bubble Forum described repeated support silence that stalled a production issue, noting multiple ticket submissions with no acknowledgement. Weeks passed without replies, leaving critical problems unresolved and causing disruption. The poster warned other builders about slow response times and urged Bubble staff to fix triage and communication so live projects would not be left without assistance. — amer, Bubble Forum, 'Bubble Support Not Responding' and support response concerns.

Jhon Fay on Trustpilot described a billing and data loss nightmare, claiming unexpected charges during free trials and an app deletion that support could not restore. The review painted a picture of repeated automated responses and unresolved escalations that drained time. It warned prospective users to be wary of unclear billing flows and limited refund handling while questioning Bubble's ability to protect project work. — Jhon Fay, Trustpilot, 'Bubble.io reviews'

redditor reported that the Bubble AI builder was briefly opened then moved to a waitlist, leaving testers confused and frustrated. The post described limited access, unclear rollout rules, and inconsistent availability. Commenters noted generated images and incomplete integrations, adding to frustration. The thread questioned rollout communication and access controls while urging clearer messaging from Bubble about availability and quotas. — redditor, Reddit, 'Did anyone try the Bubble AI builder yesterday?'

poster on Reddit described slow responses when integrating OpenAI via Bubble, noting complex workflows and rejected prompts. The account conveyed frustration over streaming limitations and difficulty debugging assistant API calls. Commenters suggested using external APIs or chat completion workarounds and warned about token truncation. The thread emphasized integration complexity and shaky performance for real-time assistants now publicly. — poster, Reddit, 'Building AI assistant app with bubble, is this a mistake?'

redditor reported a workflow bug where dynamic data failed to reach AI prompts, producing nonsensical responses. The post traced the issue to JSON formatting and noted that silent failures corrupted prompts without halting workflows. The writer warned that debugging is time consuming and Bubble's signals were limited, which can give false confidence. The account cautioned builders about passing structured data to AI through Bubble. — redditor, Reddit, 'Got stuck building'

commenter on Reddit praised Bubble AI's UI but criticized output naming and empty plugin claims, saying generated pages had poorly named elements and missing plugins despite documentation implying integration. The remark asked for clearer accuracy about what the builder actually creates and how integrations are applied, warning against assuming generated projects include working plugins or complete connections and follow up validation needed urgently. — commenter, Reddit, 'Bubble AI looks insane'

developer posted on Reddit that an AI-powered template was rejected during Bubble's review because OpenAI API tests failed, despite the template instructing users to supply their own keys. The author described the decision as inconsistent and harmful to contributors, claiming unclear review rules had cost resources. Commenters echoed concerns about a hit-or-miss review process, poor communication that undermined trust among template creators. — developer, Reddit, 'Reject submission for unacceptable reasons'

user on Reddit recounted payment failures, long support delays that stalled project work, describing debit card declines and no actionable resolution. The poster said the support queue left urgent issues unattended, increasing project risk and prompting reconsideration of Bubble in production. Community replies suggested the problem was not unique and raised concerns about support availability and responsiveness during critical incidents. — user, Reddit, 'Worst-Support Team is nowhere, only at bubble.io...'

poster on r/nocode reported runaway workload unit charges, saying searches and API calls consumed WU budgets and threatened viability. The post cited high WU per user for searches and warned integrating chatbots would add steep per-call costs. Commenters recommended offloading heavy storage to external services and cautioned that Bubble may be appropriate only for prototypes rather than data-intensive production apps. — poster, Reddit, 'Is Bubble's pricing model making no-code unsustainable?'

arthuribeiro on Reddit recounted an outage where a single NSFW keyword triggered a false positive that blocked his AI image app and returned a 'NOT FOUND' message to thousands of users. The post criticized automated moderation that blocked an entire production app without granular review and warned builders maintain backups and duplicates after describing recovery via a cloned app. — arthuribeiro, Reddit, 'Imagine waking up to find your app blocked'