How We Built LivingNest: An AI Senior Living Consultation Website Using Lovable, Calendly, and Google Sheets
Building a website with an interactive chatbot, appointment scheduling, and lead management traditionally requires several development steps. You may need a frontend developer, backend logic, third-party integrations, and a database or CRM to manage incoming enquiries.
AI-powered app builders are changing how quickly teams can turn these ideas into working prototypes.
In this project, we created LivingNest, a senior living consultation website, using Lovable. The website includes a conversational chatbot that helps visitors explore senior living options, a scheduling workflow using Calendly, and a Google Sheets workflow for managing enquiries.
This article explains how we approached the project, the prompts used to guide the build, how the tools fit together, and what we learned while developing the experience.
What Is LivingNest?
LivingNest is a web-based senior living consultation concept designed to help individuals and families begin exploring care and accommodation options for older adults.
Choosing senior living can involve many questions. Families may want to understand the differences between independent living, assisted living, and memory care. They may also need to speak with someone, ask follow-up questions, or arrange a consultation.
Instead of presenting visitors with a static information page alone, LivingNest provides a more interactive starting point.
The website combines three main functions:
Information: Introduces visitors to common senior living options.
Conversation: Uses a chatbot to guide visitors through initial questions.
Follow-up: Provides a pathway to scheduling and collecting enquiry information.
The goal is not to replace professional care advice or a detailed consultation. It is to make the first step easier for someone who may not know where to begin.
What Is Lovable?
Lovable is an AI-powered application builder that turns natural-language instructions into web applications. Instead of writing every component manually, users can describe the product they want, review the generated interface, and refine it through additional prompts.
For example, you can ask Lovable to build a landing page, add a form, create a dashboard, improve the mobile layout, or modify how a chatbot behaves.
Lovable generates and edits application code behind the scenes. Depending on the project configuration, the resulting application may include frontend components, backend functionality, and integrations with external services.
This makes Lovable useful for founders, designers, developers, marketers, and teams that want to prototype an idea before investing in a larger software project.
Its main advantages include:
Natural-language development: Describe features in everyday language.
Rapid prototyping: Create a working starting point without building every component from scratch.
Iterative editing: Improve the application through follow-up instructions.
Code access: Download or work with the generated codebase.
Publishing: Make a project accessible through a live website.
However, an AI-generated application still needs testing. A polished interface does not automatically guarantee that forms, scheduling, integrations, privacy controls, or backend workflows work correctly.
For LivingNest, we used Lovable as the primary environment for creating and refining the website.
What Is Calendly?
Calendly is an online scheduling platform that lets people share their availability and allow others to book meetings.
Rather than exchanging several emails to find a suitable time, a host can configure an event type, set available hours, define a meeting duration, and share a booking link.
Visitors can then select an available time according to the host’s scheduling settings.
Calendly supports several useful scheduling features, including:
Custom event types and meeting durations
Configurable availability
Booking links that can be shared directly
Website embedding options
Meeting management, rescheduling, and cancellation features
Calendly’s official documentation explains how to create an event type, configure its details, and share or embed the resulting booking link. Read the Calendly event-type guide.
For LivingNest, Calendly serves as the scheduling component. Lovable creates the website experience, while Calendly provides the dedicated booking page and availability management.
This distinction matters: displaying a scheduling button on a website is not the same as successfully creating a confirmed appointment. The booking needs to be completed through the configured scheduling workflow.
Why We Built LivingNest With Lovable
We wanted to create a demonstration website that brought together a clear user interface, a conversational experience, and a practical follow-up process.
Building every element manually would have required more time spent on layout, component development, interaction logic, and integration setup.
Lovable gave us a faster way to establish the initial application and then refine it as the requirements became clearer.
The project had five primary objectives:
Build a professional website around the LivingNest brand.
Create a chatbot that explains senior living options in simple language.
Help visitors express their needs through conversation.
Provide a path toward scheduling a consultation through Calendly.
Organize submitted enquiries in Google Sheets for follow-up.
We approached the build in stages rather than expecting one prompt to produce the entire application perfectly.
Step 1: Planning the Website Before Writing Prompts
Before using an AI app builder, it helps to define the website’s purpose, target audience, essential features, and desired user journey.
For LivingNest, the intended audience included older adults researching their living options and family members exploring care arrangements for a loved one.
We also identified the essential journey:
Visit the website → Explore senior living options → Interact with the chatbot → Request a consultation → Schedule a meeting or submit an enquiry → Review the lead information.
This flow gave Lovable a clear direction.
Without a defined journey, an AI builder may generate a visually attractive website that does not help users complete the task the website was created for.
Step 2: The Initial Lovable Prompt
We began with a high-level description of the product. The purpose of this prompt was to establish the website structure, visual direction, audience, and main functionality.
Prompt 1: Build the LivingNest website
The following is a reusable prompt based on the project requirements. It illustrates how to direct Lovable; it should not be treated as a verbatim record of every instruction used during the original build.
Build a modern, responsive senior living consultation website called LivingNest.
The website should help older adults and their families explore senior living options and understand how to take the next step.
Create a professional homepage with a clear headline, an introductory section, helpful content about independent living, assisted living, and memory care, and a prominent call to action.
Include an interactive chatbot that welcomes visitors, answers basic questions about senior living, and asks whether they are exploring options for themselves or for a loved one.
Include a consultation section with a clear path to schedule a meeting. Design the interface to support a Calendly booking link and a lead enquiry form.
Use a calm, welcoming, trustworthy visual style. Prioritize readability, accessible color contrast, intuitive navigation, responsive layouts, and a mobile-friendly experience.
Build reusable components and maintain a consistent design system. Make buttons, forms, and chatbot controls functional rather than decorative. Do not invent senior living prices, medical advice, or specific community availability.
The prompt establishes the product’s purpose while leaving the builder room to implement the design.
After Lovable generates the first version, review the page rather than assuming the initial output is final.
Check the headline, page hierarchy, navigation, chatbot visibility, call-to-action placement, and mobile layout. Then use more specific prompts to improve individual areas.
Step 3: Refining the Website Design
The next step was to focus on usability and presentation.
A senior living website should feel reassuring rather than overwhelming. Visitors may be researching a major life decision, so clear language, readable text, and straightforward navigation are particularly important.
Prompt 2: Improve the user experience
Refine the LivingNest website to make it feel more professional, welcoming, and trustworthy.
Improve spacing, typography, section hierarchy, button placement, and visual consistency. Make the main call to action easy to find.
Ensure the layout adapts properly to mobile phones, tablets, and desktop screens. Use readable font sizes, accessible contrast, visible focus states, and clear labels for interactive elements.
Keep the content simple and helpful. Avoid clutter, unnecessary animations, exaggerated claims, and unsupported promises about care services.
This type of prompt works best when it focuses on specific outcomes instead of vague instructions such as “make the website better.”
If one section is already working well, tell Lovable to preserve it while editing another section. This reduces the risk of unnecessary changes to completed work.
Step 4: Creating the Senior Living Chatbot
The chatbot is one of the most important elements of LivingNest because it gives visitors a conversational way to begin their research.
Instead of requiring users to read every section of a website, a chatbot can introduce the main categories and ask a simple follow-up question.
The chatbot’s initial explanation covers three broad senior living options:
Independent living: A community lifestyle for people who generally manage their everyday activities independently.
Assisted living: A residential option that provides help with daily activities, depending on the services offered.
Memory care: Specialized support for people living with Alzheimer’s disease or other forms of dementia.
The precise services, eligibility requirements, and costs vary by provider and individual needs. A general chatbot should not present these details as universal facts.
Prompt 3: Define the chatbot’s behavior
Create a conversational assistant for LivingNest that helps visitors understand senior living options.
Begin with a friendly greeting. Explain independent living, assisted living, and memory care in simple language when relevant.
Ask one clear question at a time. Start by asking whether the visitor is exploring senior living for themselves or for a loved one.
Use a warm, respectful, patient tone. Keep responses concise and easy to understand.
If the visitor asks an unrelated casual question, respond politely and then guide the conversation back to the senior living topic without sounding repetitive.
Do not invent community availability, prices, medical diagnoses, or guarantees. Explain when a question requires confirmation from a qualified person or the relevant community.
When the visitor is ready to take the next step, offer the appropriate consultation or enquiry option.
Do not claim that an appointment has been booked unless the scheduling system confirms it.
This prompt defines the chatbot’s role, conversation style, boundaries, and next-step behavior.
How does the chatbot generate answers?
A chatbot can be built in several ways. Some use a predefined set of questions and responses, while others use a large language model (LLM) to generate answers dynamically. A third approach combines scripted flows with an LLM.
An LLM is an AI model trained to process and generate language. When integrated into a website chatbot, it can interpret a user’s message and produce a response based on its instructions and available context.
For example, when a visitor asks, “How are you?”, the chatbot might respond:
“I’m doing well, thanks for asking! Are you exploring senior living for yourself or for a loved one?”
That response is consistent with a conversational assistant that acknowledges the message and returns to its primary purpose.
However, the visible response alone does not prove that an LLM generated it. The same behavior could be implemented with a predefined fallback or conditional logic. To determine the exact architecture used in LivingNest, the chatbot’s source code and any configured AI service would need to be inspected.
This distinction is important when documenting an AI project. We should describe verified behavior separately from assumptions about the underlying model.
Step 5: Adding Calendly for Consultation Scheduling
Once a visitor has explored the available options, the next step is to make it easy to arrange a conversation.
Calendly provides a dedicated scheduling page where visitors can choose from the available appointment times.
The general workflow is straightforward:
Create or open a Calendly account.
Create an event type for the consultation.
Configure the meeting duration, availability, location, and other relevant details.
Copy the event’s scheduling link.
Add the link to the relevant button or scheduling section in LivingNest.
Test the link and complete a sample booking.
Calendly’s event-type settings determine which appointment slots visitors can see. Its website options can also support embedding the booking experience instead of simply linking to an external page. Calendly scheduling instructions.
Prompt 4: Add the Calendly scheduling pathway
Add a consultation scheduling section to LivingNest.
Include a clear button labeled “Schedule a Consultation.” Connect it to the Calendly event link supplied by the project owner.
Make the button work on desktop and mobile. Open the booking page in an appropriate, accessible way and explain that visitors will select an available appointment time on Calendly.
Do not display a fake calendar or invent available time slots. Do not tell the visitor that a booking is confirmed simply because they clicked the button.
Keep the scheduling experience consistent with the LivingNest design.
Replace the placeholder concept in this prompt with the actual Calendly event URL before using it in the project.
If you want the booking calendar to appear directly inside the page, ask Lovable to embed the appropriate Calendly widget and follow Calendly’s current embedding instructions.
What happens after a visitor clicks the button?
The intended experience is:
A visitor selects “Schedule a Consultation.”
The visitor opens the configured Calendly booking page or embedded calendar.
Calendly displays the availability defined by the host.
The visitor selects a suitable time and completes the booking form.
Calendly processes the booking according to the event configuration.
The website should distinguish between someone who opened the booking page and someone who completed the appointment booking.
A link click alone is not evidence of a confirmed meeting.
Step 6: Using Google Sheets to Manage Enquiries
Scheduling and lead management solve two different problems.
Calendly helps people arrange meetings. Google Sheets provides a convenient place to organize enquiry details so a team can review and follow up with prospective clients.
Google Sheets is an online spreadsheet application that supports structured data, collaboration, sorting, filtering, and shared access. It can be useful for a small demonstration project because the lead information is easy to inspect without building a custom dashboard.
For LivingNest, a spreadsheet can organize the information submitted through an enquiry form and help a team keep track of the next action.
Suggested Google Sheets columns
A useful starting structure is:
Column
Purpose
Submitted At
Date and time the enquiry was received
Name
Visitor’s name
Email
Contact email
Phone
Optional contact number, if needed
Exploring For
Self or loved one
Living Option
Independent living, assisted living, memory care, or undecided
Enquiry Message
Visitor’s question or request
Scheduling Status
Not started, awaiting scheduling, or confirmed
Follow-up Status
New, contacted, or resolved
These are recommended fields, not a claim that every column is already present in the existing LivingNest spreadsheet.
Collect only the information needed for the intended follow-up. Because senior living enquiries can involve sensitive personal circumstances, avoid collecting unnecessary medical details in a general-purpose spreadsheet.
Prompt 5: Connect the enquiry form to Google Sheets
Connect the LivingNest enquiry form to the Google Sheets workflow configured for this project.
When a visitor submits the form, validate the required fields and send the submitted information to the configured destination.
Map each form field to the correct spreadsheet column. Include a submission timestamp and a clear status field.
Display a success message only after the submission has been accepted. If the request fails, show a helpful error message and allow the visitor to try again.
Prevent duplicate submissions where practical. Never expose Google credentials, private integration tokens, or service-account secrets in client-side code.
Keep the spreadsheet private and accessible only to authorized team members.
This prompt communicates the desired behavior. It does not, by itself, authorize Google Sheets access or create a working connection.
How the connection can work
The exact implementation depends on the integration method used in the Lovable project. Common approaches include:
A supported integration or connector
A backend endpoint that validates and writes the submitted data
An automation platform that passes form submissions into Sheets
The important point is that the website must have a working, authorized path for writing the data. Adding a spreadsheet URL to a prompt is not sufficient to create that connection.
If an integration requires authorization, complete the authorization process and test it with sample data.
Setting up the spreadsheet
Before testing, create a Google Sheet with clear column headers in the first row.
Keep the sheet’s access restricted to the people who need it. Google provides sharing permissions and controls for deciding who can view or edit a spreadsheet. Google Sheets sharing and collaboration guide.
Next, verify that the configured integration points to the correct spreadsheet and worksheet. Check the field mapping carefully. A form may submit successfully while placing values in the wrong columns if the mapping is incorrect.
Finally, submit a test enquiry and confirm that the expected row appears.
Step 7: Connecting the Chatbot, Calendly, and Google Sheets
The main benefit comes from coordinating these tools rather than treating them as three unrelated features.
A typical intended workflow looks like this:
Visitor → LivingNest website → Chatbot → Enquiry or scheduling → Google Sheets lead tracking
The chatbot introduces the topic and helps visitors decide what they want to do next. The website offers an enquiry form or a scheduling link. Google Sheets records the enquiry when the configured submission workflow is triggered, while Calendly manages the appointment itself.
There is one important technical detail: submitting a form and booking a meeting are separate events.
A visitor may submit their details without choosing a time. In that situation, the spreadsheet could correctly show “Awaiting scheduling.”
Likewise, someone may book directly through Calendly without completing the LivingNest enquiry form. That booking will not automatically appear in Google Sheets unless the Calendly-to-Sheets workflow is separately configured.
If the goal is to synchronize booking confirmations, use a supported Calendly integration, webhook, or automation that captures confirmed booking events and updates the relevant lead record.
A reliable production workflow should distinguish at least these states:
New enquiry: The form has been submitted.
Awaiting scheduling: The visitor has expressed interest but has not completed a booking.
Confirmed: A booking confirmation has been received from the scheduling system.
Cancelled or rescheduled: The booking has changed and the record needs updating.
Do not mark a meeting as confirmed based solely on a chatbot message or button click.
Step 8: Testing the Website Before Publishing
A website is not ready simply because its preview looks correct. Every important interaction needs to be tested.
For LivingNest, we recommend testing the following areas before sharing the site with a client.
Website and responsive layout
Open the published website on desktop and mobile.
Check navigation, spacing, text readability, and button placement.
Confirm that the chatbot opens, accepts input, and displays responses correctly.
Check for broken links, overflowing content, and inaccessible controls.
Chatbot behavior
Ask about independent living, assisted living, and memory care.
Try a casual question such as “How are you?”
Ask an unrelated question and confirm that the bot responds politely.
Check whether it avoids unsupported pricing or care claims.
Verify that its next-step suggestions work as intended.
Calendly scheduling
Click the scheduling button.
Confirm that it opens the correct event type.
Check that the displayed availability matches the configured event.
Complete a test booking if appropriate.
Verify the booking in Calendly before treating it as confirmed.
Google Sheets submission
Submit a sample enquiry.
Confirm that the row appears in the intended worksheet.
Check each field against its column header.
Test missing or invalid required fields.
Test the error path if the connection is unavailable.
Verify that visitors do not see a false success message when the submission fails.
End-to-end workflow
Finally, test the full journey from the first website visit through enquiry submission and appointment booking.
A successful end-to-end test should confirm which event creates the spreadsheet record, which system owns the appointment status, and how the two are reconciled.
Step 9: Publishing LivingNest
After reviewing the design and testing the important interactions, publish the project through Lovable.
A published URL makes it easy to demonstrate the website to a client, gather feedback, and test the visitor experience without requiring the viewer to open the development editor.
It is important to distinguish the live application from the development environment. Editing a downloaded codebase locally does not automatically update the Lovable-hosted website. Changes must be synchronized or deployed through the relevant publishing workflow.
For a demonstration, use sample data and clearly identify any simulated features. Before using the website with real visitors, verify its integrations, privacy controls, error handling, and operational reliability.
Step 10: Downloading and Editing the Source Code
Another useful part of this workflow is that the codebase can be downloaded for further development.
After downloading the project ZIP, extract it and open the folder in a code editor such as Visual Studio Code.
Look for package.json to understand the project’s dependencies and available commands. In a typical Node.js frontend project, the local setup may involve installing dependencies and running the development server, but the exact commands depend on the scripts provided by the project.
Once the project runs locally, developers can inspect the components responsible for the website layout, chatbot, forms, and scheduling links.
They can also review the submission logic to determine whether the chatbot uses an LLM, predefined responses, or a combination of approaches.
Downloading the code offers more control, but it does not automatically synchronize local changes with the hosted website. A publishing or deployment step is still required.
What We Learned From Building LivingNest
This project highlights several practical lessons for anyone creating an AI-assisted website.
1. Specific prompts lead to clearer results
A broad prompt can establish the initial application, but detailed follow-up prompts are useful for refining individual components.
Defining the audience, user journey, visual style, and functional requirements gives the builder better direction.
2. A chatbot needs clear boundaries
A conversational interface can make a website more approachable, but it must be designed around the task it is meant to support.
For a senior living website, that means using respectful language, avoiding unsupported claims, and directing visitors to a qualified person when a question requires confirmation.
3. Scheduling and lead collection are different workflows
Calendly manages appointments, while Google Sheets organizes enquiry data.
The two tools complement each other, but synchronization requires a deliberate integration. A spreadsheet row should not be treated as proof that an appointment was booked.
4. Test the integration, not just the interface
A button may look correct while its destination is wrong. A form may display a success message while the data never reaches the spreadsheet.
Testing the actual results is essential.
5. Prototypes need additional work before production
An AI-generated website is a starting point, not a substitute for technical review. Production systems need appropriate data protection, reliable integrations, accessible design, error handling, and clear ownership of operational tasks.
Limitations and Improvements for a Production Version
LivingNest demonstrates a useful workflow, but a real senior living consultation service would require further validation and development.
Potential improvements include:
Verified AI responses: Connect the chatbot to an approved knowledge base containing accurate service information.
Booking synchronization: Update the lead record when Calendly confirms, cancels, or reschedules a meeting.
Secure data handling: Limit access to enquiry information and establish appropriate retention practices.
Human follow-up: Provide a clear path to a real consultation for questions the chatbot cannot answer.
Accessibility testing: Review keyboard navigation, screen-reader support, color contrast, and readable text.
Monitoring and error handling: Track failed submissions and integration errors without exposing sensitive information.
Privacy and consent: Explain what information is collected, why it is collected, and how it will be used.
These improvements would help move the concept from a demonstration toward a dependable service.
FAQs
1. What is LivingNest?
LivingNest is a senior living consultation website concept built to help visitors explore independent living, assisted living, and memory care, interact with a chatbot, and find a path toward an enquiry or consultation.
2. Was LivingNest built using Lovable?
Yes. Lovable was used as the AI-powered application-building environment for creating and refining the website. The project is published at https://livingnest.lovable.app/.
3. What is Lovable used for?
Lovable turns natural-language prompts into web applications and allows users to refine the generated application through additional instructions. It can help teams prototype and develop websites without writing every component manually.
4. What is Calendly used for in LivingNest?
Calendly provides the appointment-scheduling experience. Visitors can open the configured booking page, review available times, and book a consultation according to the event settings.
5. Why use Google Sheets for leads?
Google Sheets provides a straightforward way to organize submitted enquiries, review contact information, track follow-up status, and coordinate work with authorized team members.
6. Does Google Sheets automatically know when a Calendly meeting is booked?
Not necessarily. The systems need a configured integration or automation that sends booking events to the spreadsheet. A form submission and a confirmed appointment should be tracked separately.
7. Does LivingNest use an LLM to power its chatbot?
The chatbot’s visible behavior does not establish which technology generates its responses. Confirming whether it uses an LLM, scripted responses, or a hybrid implementation requires inspecting the project’s source code and configured services.
8. Can Lovable generate a complete website from a prompt?
Lovable can generate a working application from natural-language instructions, but the result should be reviewed and tested. External integrations, data handling, and production requirements may require additional configuration and development.
9. Can the Lovable codebase be downloaded and edited?
Yes. A downloaded codebase can be opened in a compatible development environment and modified. Local changes do not automatically update the published site; they must be deployed or synchronized through the appropriate workflow.
10. Is LivingNest ready for use with real senior living enquiries?
The live demo demonstrates the website concept. Before collecting real visitor data or relying on it for operational scheduling, the chatbot behavior, integrations, privacy protections, and booking-confirmation workflow should be verified.
Conclusion
LivingNest shows how an AI-powered app builder can bring a website, a conversational assistant, appointment scheduling, and lead management together in one project.
Lovable provides the environment for creating the application. Calendly handles appointment scheduling, while Google Sheets offers a convenient way to organize enquiry data.
The most important lesson is that these tools solve different problems. Their value comes from designing a clear user journey and making sure the underlying integrations behave as expected.
For teams exploring AI-assisted development, a project like LivingNest is a practical way to experiment, gather feedback, and identify what needs to be improved before moving toward a production application.
Sandeep Kumar is the Founder & CEO of Aitude, a leading AI tools, research, and tutorial platform dedicated to empowering learners, researchers, and innovators. Under his leadership, Aitude has become a go-to resource for those seeking the latest in artificial intelligence, machine learning, computer vision, and development strategies.
Sandeep Kumar is the Founder & CEO of Aitude, a leading AI tools, research, and tutorial platform dedicated to empowering learners, researchers, and innovators. Under his leadership, Aitude has become a go-to resource for those seeking the latest in artificial intelligence, machine learning, computer vision, and development strategies.
