AI features that feel disconnected from the product
Bolted-on AI that does not fit the workflow, the data, or the user experience.
AI Integrations for Bubble Apps
We help SaaS founders and businesses add practical AI features to Bubble apps, internal tools, marketplaces, and custom platforms, from AI assistants and document generation to smart search, scoring, summaries, and automation workflows.
120+ projects delivered · 70+ five-star reviews on Upwork · 4.9 on Clutch · 9+ years in software development
The problem
Adding AI is easy. Adding AI properly is the hard part.
Many teams want to add AI to their app, but the feature becomes messy when the workflow, database, API logic, privacy rules, prompts, and user experience are not planned properly. A simple AI call is not enough for a reliable product feature.
Weak prompts and inconsistent AI outputs
Prompts written once and never refined, leading to unreliable answers and broken UX.
Poor database structure for storing AI results
No clean schema for prompts, responses, versions, costs, or audit history.
No human review or approval flow
AI output sent straight to users with no validation, no review, and no fallback.
API errors and unreliable workflows
Timeouts, rate limits, and silent failures that break the feature in production.
Privacy and sensitive data concerns
Personal or business data sent to AI providers without proper rules or controls.
No clear user experience around AI
Confusing inputs, unclear loading states, and no way for users to refine results.
AI costs that are not controlled properly
Token usage, retries, and abuse adding up fast without visibility or limits.
The solution
We design and build AI features that fit your product.
At EdonyDev, we first understand your product, users, business logic, and data. Then we design the right AI workflow and implement it with custom code, Lovable or Bubble, plus APIs, automations, prompt logic, database structure, and a clean user interface.
OpenAI and Gemini integrations
AI assistants and copilots
AI-powered search
AI document generation
AI image generation
AI summaries and insights
AI lead scoring
AI recommendations
Prompt engineering and structured outputs
Human-in-the-loop approval flows
AI cost control and usage limits
AI workflow automation
Use cases
AI features we can add to your product.
Practical AI features we have shipped inside Bubble apps, SaaS platforms, internal tools, and marketplaces.
AI assistants
Add a smart assistant inside your app to help users complete tasks, answer questions, or guide them through workflows.
Document generation
Generate letters, proposals, contracts, reports, summaries, or structured documents based on user inputs and database data.
AI search
Let users search across your platform using natural language instead of filters only.
AI summaries
Summarize messages, documents, customer conversations, reports, or long text content.
AI scoring
Score leads, applications, listings, users, risks, opportunities, or internal tasks based on custom logic.
AI recommendations
Recommend products, services, next steps, matches, actions, or content based on user data.
AI image generation
Generate images, mockups, design previews, or visual concepts based on user prompts and uploaded images.
Workflow automation
Use AI to classify, route, generate, approve, notify, and update records automatically.
Our process
See our full processHow we implement AI features.
A senior, structured approach, from the first use case conversation to launch and ongoing optimization.
01
Use case discovery
We understand your product, workflow, users, and where AI can create real value.
02
AI workflow design
We define what AI should do, what data it needs, what should be automated, and where humans should stay in control.
03
Prompt and output structure
We design prompts, response formats, validation rules, and structured outputs so the feature is more reliable.
04
App and API implementation
We connect AI APIs, build backend workflows, store results, manage errors, and create the user interface.
05
Testing and edge cases
We test different inputs, errors, sensitive data, bad prompts, empty results, and unexpected AI responses.
06
Launch and optimization
We monitor usage, improve prompts, control costs, and refine the feature based on real user behavior.
Why AI fails
Why many AI features fail after launch.
AI features often fail because they are treated like a simple API call instead of a real product feature. A good AI integration needs strong product logic, database planning, user experience, privacy rules, and clear fallback handling.
No clear use case
Bad prompt structure
No output validation
No cost control
Weak error handling
Poor data privacy
No user feedback loop
AI added without improving the workflow
Why EdonyDev
Why choose EdonyDev for AI integrations?
EdonyDev has built 120+ projects across marketplaces, internal tools, dashboards, AI-powered apps, CRMs, and workflow systems. We combine custom code, Lovable and Bubble development, API expertise, product thinking, automation, AI implementation, and UI/UX design.
9+ years
In software development
120+
Projects delivered
70+
5-star Upwork reviews
$400k+
Earned on Upwork
AI · APIs · Stripe
Strong integration experience
SaaS · Marketplaces · Tools
Product breadth
UI/UX in Figma
In-house design support
US · UK · EU · APAC
International client experience
Relevant work
View full portfolioRelevant AI and product work.
A selection of AI-powered and product builds our team has shipped for international clients.
Who it is for
This is for you if...
The founders and teams who get the most value from working with us as their AI integration partner.
You already have a Bubble app and want to add AI features
You want to integrate OpenAI, Gemini, or another AI API
You need AI document generation, search, scoring, summaries, or recommendations
You want to automate manual workflows with AI
You need a reliable backend workflow, not just a basic AI call
You are worried about AI costs, privacy, or inconsistent outputs
You want a product-focused team that can design and build the full feature
FAQ
AI Integration FAQ.
Quick answers to the questions founders ask most often before starting an AI integration project.
Can you add OpenAI or Gemini to an existing Bubble app?
Yes. We can integrate OpenAI, Gemini, and other AI APIs into existing Bubble apps, including backend workflows, prompts, structured outputs, storage, and user interface.
Can you help us decide what AI feature makes sense?
Yes. We can review your product and workflow, then suggest AI features that create real value instead of adding AI just for the sake of it.
Can you build AI document generation?
Yes. We can build workflows that generate letters, reports, proposals, summaries, contracts, and structured documents based on user input and database data.
Can you build AI search inside Bubble?
Yes. We can implement AI-powered search or natural language search depending on the product, data structure, and technical requirements.
Can you control AI usage and costs?
Yes. We can add credit systems, usage limits, logging, cost tracking, prompt optimization, and backend workflows to help manage AI usage.
Can you handle privacy and sensitive data?
Yes. We help structure AI workflows with proper privacy rules, data handling, permissions, and human approval steps where needed.
Do you only work with Bubble apps?
Bubble is our main platform, but we also work with APIs, automation tools, AI services, external databases, and third-party platforms depending on the project.
Want to add AI to your Bubble app?
Tell us what you want AI to do inside your product, and we will help you define the right workflow, technical approach, and implementation plan.