Connect five screens
Service list → Details → Date and time → Confirmation → Result. When a user selects 2:00 PM, the confirmation screen should show that same service, date, and time.
Mockitt AI · Prototyping
AI Prototype GeneratorTurn ideas into
screens you can edit
Describe what your product needs and generate a multipage prototype. Refine it through conversation or select an area to edit, then bring it into Mockitt to develop the screens, interactions, and team review.
Start with a scenario
From requirements to screens
Describe the screens.
See the idea take shape.
Whether you are designing an admin dashboard, a mobile app, or a lightweight web app, start with the task your users need to complete. Mockitt AI generates screens from that brief so you can preview the flow and keep refining it.
Try this brief
Build a CRM for your sales team
Tell AI which screens you need and what happens between them. Give your team concrete screens and actions to discuss.
- 01Customer list
Browse customers and filter by owner and follow-up stage.
- 02Customer details
See contact information, review activity, and add follow-up notes.
- 03New customer
Enter customer information, validate required fields, and return to the list after saving.
Need another screen? Continue the conversation with its purpose, content, and navigation requirements to expand the prototype.
Need a clearer brief? Start with the screens and user tasksBring the first draft closer to your idea
Choose what to change.
Keep the rest in place.
Once the layout is in place, refine the details. Continue the conversation, or select a specific area in the editor and describe what you want to change.
Try a focused request“Group the appointment slots into morning and afternoon. Gray out fully booked slots and keep everything else unchanged.”Learn how to refine a prototype in stages
Refine one booking flow, one request at a time
Finish the booking flow in the same project
Practice the same booking pattern with a sample class reservation: create the complete path, adjust the time-slot grouping, then add recovery from a failed submission. Keep each request focused and return to the preview to check that earlier steps still work.
Change only the time slots
Group slots into morning and afternoon. Label 11:00 AM “Full” and gray it out. Keep the selected service and date without rebuilding the screen.
Handle a booking conflict
If the slot fills during submission, keep the user in the booking flow and ask them to choose another time. Do not send them home or clear every selection.
Walk through the flow again
Try a full slot, go back to edit, and check both failed and successful submissions. For each problem, name the screen, the action that triggered it, and the expected result.
Adapt these prompts and preview checks to your own service. Developers still need to implement live capacity, simultaneous bookings, and notifications. Sign in to generate a prototype using the credits and features available on your plan.
Open the three prompts and six preview checks
FIRST PROMPT Design a mobile prototype for a service that lets people book experience classes. Include a service list, service details, date and time selection, booking confirmation, and a booking result screen. Sample service: Pottery Workshop, 90 minutes. Sample date: November 6. Available times: 9:30 AM and 2:00 PM. The 11:00 AM slot is full. All information is sample data for the prototype. Users open a service from the list, choose a date and time, and see a confirmation screen showing that service, date, and time. Going back to make changes preserves the selected service. Full slots cannot be submitted. The success screen shows the selected details and a link back to the service list. ROUND TWO: FOCUSED EDIT Change only the time-selection area. Group 9:30 AM and 11:00 AM under Morning, and 2:00 PM under Afternoon. Label 11:00 AM "Full" and gray it out. Give the selected slot a clear visual state. Keep the rest of the screen, the selected service, and the date unchanged. ROUND THREE: RECOVER FROM A CONFLICT Add a state for a slot that fills while the booking is being submitted. Keep the current service and date. Show "This time just filled up. Choose another time." and return to the available slots. Do not send the user home or clear every selection. PREVIEW CHECKS 1. Open a service from the list, then continue to date and time selection. 2. The full 11:00 AM slot cannot proceed to confirmation. 3. After selecting 2:00 PM, confirmation shows the same service, date, and time. 4. Going back to change the date preserves the selected service. 5. After a submission conflict, the user can select a remaining time slot. 6. The success screen shows the selected details and provides a way back to the list. Live capacity, simultaneous bookings, and notifications need backend implementation. Use this material for prototype design and interaction discussions.
From AI output to prototype editing
Keep HTML interactions
or convert to native elements
Click Edit in the AI output preview to continue editing the HTML visually. After importing it into Mockitt, choose the editing format that suits your next step.
01 · AI componentEdit the HTML.
Edit the HTML.
Keep its dynamic behavior.
Imported HTML starts as an AI component in your prototype. This HTML container can display the dynamic interactions in the code, and you can continue editing the HTML visually.
Explore visual HTML editing
02 · Native editable elementsConvert to prototype elements.
Convert to prototype elements.
Fine-tune each one.
When you need to adjust text, layout, and element properties on the canvas, convert the page to Mockitt’s native prototype format and continue editing individual elements.
After conversion, check the original HTML’s scripted interactions and configure the corresponding prototype interactions.
See how HTML import and conversion work
Bring your team into the process
Discuss the prototype.
Agree on what comes next.
Generation is the starting point. Continue in Mockitt’s prototype editor to refine the screens and interactions, then share the design for your team to review and discuss.
Share and present
Send teammates a prototype link and walk them through the screens to explain the product flow.
Comment and refine
Collect feedback on specific screens so everyone can see what needs to change.
Prepare for handoff
Continue through the prototype workflow with annotations, asset exports, and developer handoff.
Start with your product’s use case
Different task.
The same way to begin.
Tell AI who the users are, which screens they need, and what they should be able to do. Choose a brief below, then adapt it to your business.
Connect the booking steps
Describe the service list, time selection, confirmation, and result screens, including what each step shows and how users go back.
From browsing to order confirmation
Include product details, options, the cart, and delivery information, along with the actions shoppers take throughout checkout.
Make questions and answers easy to follow
Include a new-chat entry, conversation history, answers, and cited sources. Account for follow-up questions and cases where no answer is available.
Before you get started
AI prototyping questions
From your first prompt to editing and collaborating on the result.
Visit the help centerCan I keep editing an AI-generated prototype?
Yes. Continue the conversation in the same task, or choose Edit in the output preview to edit the HTML visually. After importing it into Mockitt, you can keep it as an AI component or convert it to native editable elements.
Can I generate a prototype without writing code?
Yes. Start with a plain-language brief instead of writing HTML. Describe the product, the screens you need, and the key actions, then refine the result through previewing and editing.
How do AI components differ from native editable elements?
An AI component is an HTML container that preserves the HTML page and its dynamic interactions. Native editable elements use Mockitt’s prototype format, so you can adjust individual canvas elements and their properties. After conversion, check and configure the corresponding prototype interactions.
Can I turn an existing HTML file into a prototype?
Yes. Import an HTML file or paste HTML code into Mockitt, then choose how to edit it. The existing layout, styles, and available assets affect the import, so try one page first before processing the rest.
Can I share the generated prototype with my team?
Yes. Share the AI output directly, or bring it into Mockitt to share a prototype link, present the screens, and collect comments. The project and account settings control sharing and collaboration permissions.
How is AI prototype generation priced?
Generation credits and available features depend on your plan. Sign in to see your remaining credits, or visit Mockitt pricing to compare plans and choose the option that fits your work.
Keep developing your prototype
From a first draft to a team review
Review screens and interactions
AI Prototype Evaluation Checklist: Validate Generated Screens Before Handoff
Review screens, actions, and exception states to identify what still needs work before handoff.
Bring your team into the reviewHow to Run a Product Prototype Feedback Workshop
Plan a focused prototype review, gather feedback, and turn product, design, and engineering input into clear next steps.
Your next product idea
Put the idea into words.
Let the prototype take shape.
Start with a brief, then refine the screens one step at a time.
Create my prototype