Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(21)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(6)

Manufacturing(4)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(33)

Technology Modernization(9)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(40)

Insurtech(67)

Product Innovation(59)

Solutions(22)

E-health(12)

HealthTech(25)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(154)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(8)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(48)

Natural Language Processing(14)

expand Menu Filters

6 Features that Make Adobe XD the Ultimate Tool to Achieve Precision in Designing

6 minutes read

“A good first impression can work wonders” ~ J. K. Rowling.

When a user interacts with any digital product, the first thing that hooks him to an application is user interface (UI). And how well a UI is designed can shape the user experience (UX). Designers have a huge responsibility of creating a design that is simple and appealing to the users. Which is why they need a tool that speeds up their process with precision. One of the most popular amongst the designers is undoubtedly – Adobe XD the ultimate tool that has been assisting them achieve excellency in designing.

First released in 2016, Adobe XD has become the primary tool for about 40% of designers in the last few years helping them achieve speed and accuracy in UI design, prototyping, and managing design systems. In addition to being one of the leading UX design tools, Adobe Experience Design (XD) is a top-notch interface design platform with a host of capabilities that enable designers to create, share, develop, and collaborate on their designs. Adobe XD also allows designers to create prototype interactions and transitions between art-boards with ease.

Here are 6 features that make Adobe XD the ultimate tool to achieve precision in designing:

Adobe XD the Ultimate Tool
  1. Repeat Grid

With the group or element selected, click on “Repeat Grid” (⌘ r) and drag the green handles horizontally or vertically to make a grid. You will be able to hover and drag over spaces between the elements to adjust the spacing. 

All  groups within the grid are going to be automatically updated when you make a change in one group.

💡 Tip: Ungroup the grid to make changes independent to main element or group

Adobe XD the Ultimate Tool

Repeat grid can produce different results based on grid attributes while the basic unit remains the same.

  1. Components & States

Right-click on the group or element and select “Make Component” (⌘ k). Every component has a main component with various instances which you can use across the design. When changing the main component, the changes propagate to all of its instances.

Components can also have multiple states that respond to different inputs – default state, hover state and new state. 

Features of Adobe XD

Creating a component is important for designers to identify the variations of an element

Adobe XD the Ultimate Tool

By using design components, we can avoid inconsistency in our designs

By editing main components, you can instantly update style changes to all elements within that component – a handy shortcut for making quick style changes. 

  1. Libraries

Using the new Libraries panel (⇧⌘Y), you can now save colors, character styles, and components from your art-boards as document assets.  When you’re ready to share, open the library manager by clicking the share icon in the top right corner of the panel. By clicking the blue publish button in the manager, you can publish your document assets as a library to share and use as a team.

💡 Tip: Documents must be saved as cloud documents to publish a library

Libraries

Give editors of your documents access to edit the library

After publishing a library, you can continue to make changes in your XD document, and update the changes once you’re ready. 

XD will notify you when you have new updates to share. You can publish immediately or later from the Library Manager. 

Adobe XD the Ultimate Tool

You can dismiss the message, if you are not ready to share

Adobe XD the Ultimate Tool

To incorporate multiple updates at once, click the update all button.

  1. 3D Transforms

Using the property-panel, we can enable 3D transformation to simulate the 3D effect on any individual element or a group 

After enabling 3D transformations, new object controls will appear in the transform section and Gizmo at the center of the selected object.

3D Transforms

Create perspective design easily with 3D transforms

  1. Content Aware Layout

With the elements selected, create a group. Tap the switches to enable Content-Aware Layout controls. Stacks will align and distribute objects vertically or horizontally while padding will adapt background layers and preserve values. This will automatically make layout changes as your designs change.

💡 Tip:  Using layout on component saves the most amount of time

Adobe XD the Ultimate Tool

Whatever padding values you choose will be retained even if the content inside changes.

  1. Video & Lottie Playback

When designing in XD, you can now include videos and Lottie animations that will play when you preview your XD prototypes and share a link to your prototype from XD. You can use the drag-and-drop feature from your computer to place files on the artboards or you can import videos from your design system into the Creative Cloud Libraries. After it is imported, you can customize the media’s behavior, such as setting animations to loop or configuring when a video or animation will play (automatically, on tap, etc.). 

Adobe XD the Ultimate Tool

Add .json files to create real time prototypes and designs

You can also upload unique thumbnail images and trim videos to the appropriate length using basic editing tools.

Features of Adobe XD

Control the playback of videos, adjust basic video settings, and import videos.

Now that you’ve come so far

Here’s an easter egg for you. Another simple feature that’s commonly overlooked is the built-in number functionality for adjusting the opacity of elements. Either press eg. 4 for 40%, or 6 followed by 7 for 67%.

Adobe XD the Ultimate Tool

Control the transparency of any object

That’s all for now.

Hope this article helps you and you have learned something useful!

About the Author:

Unnathi is a UI/UX designer, currently working at Mantra Labs. She is passionate about research and has expertise in building digital systems that provide engaging experiences.

Want to know more about designing?

Read our latest blog: How to Sell UX Research to Your Clients?

Cancel

Knowledge thats worth delivered in your inbox

The Rise of Domain-Specific AI Agents: How Enterprises Should Prepare

Generic AI is no longer enough. Domain-specific AI is the new enterprise advantage.

From hospitals to factories to insurance carriers, organizations are learning the hard way: horizontal AI platforms might be impressive, but they’re often blind to the realities of your industry.

Here’s the new playbook: intelligence that’s narrow, not general. Context-rich, not context-blind.
Welcome to the age of domain-specific AI agents— from underwriting co-pilots in insurance to care journey managers in hospitals.

Why Generalist LLMs Miss the Mark in Enterprise Use

Large language models (LLMs) like GPT or Claude are trained on the internet. That means they’re fluent in Wikipedia, Reddit, and research papers; basically, they are a jack-of-all-trades. But in high-stakes industries, that’s not good enough because they don’t speak insurance policy logic, ICD-10 coding, or assembly line telemetry.

This can lead to:

  • Hallucinations in compliance-heavy contexts
  • Poor integration with existing workflows
  • Generic insights instead of actionable outcomes

Generalist LLMs may misunderstand specific needs and lead to inefficiencies or even compliance risks. A generic co-pilot might just summarize emails or generate content. Whereas, a domain-trained AI agent can triage claims, recommend treatments, or optimize machine uptime. That’s a different league altogether.

What Makes an AI Agent “Domain-Specific”?

A domain-specific AI agent doesn’t just speak your language, it thinks in your logic—whether it’s insurance, healthcare, or manufacturing. 

Here’s how:

  • Context-awareness: It understands what “premium waiver rider”, “policy terms,” or “legal regulations” mean in your world—not just the internet’s.
  • Structured vocabularies: It’s trained on your industry’s specific terms—using taxonomies, ontologies, and glossaries that a generic model wouldn’t know.
  • Domain data models: Instead of just web data, it learns from your labeled, often proprietary datasets. It can reason over industry-specific schemas, codes (like ICD in healthcare), or even sensor data in manufacturing.
  • Reinforcement feedback: It improves over time using real feedback—fine-tuned with user corrections, and audit logs.

Think of it as moving from a generalist intern to a veteran team member—one who’s trained just for your business. 

Industry Examples: Domain Intelligence in Action

Insurance

AI agents are now co-pilots in underwriting, claims triage, and customer servicing. They:

  • Analyze complex policy documents
  • Apply rider logic across state-specific compliance rules
  • Highlight any inconsistencies or missing declarations

Healthcare

Clinical agents can:

  • Interpret clinical notes, ICD/CPT codes, and patient-specific test results.
  • Generate draft discharge summaries
  • Assist in care journey mapping or prior authorization

Manufacturing

Domain-trained models:

  • Translate sensor data into predictive maintenance alerts
  • Spot defects in supply chain inputs
  • Optimize plant floor workflows using real-time operational data

How to Build Domain Intelligence (And Not Just Buy It)

Domain-specific agents aren’t just “plug and play.” Here’s what it takes to build them right:

  1. Domain-focused training datasets: Clean, labeled, proprietary documents, case logs.
  1. Taxonomies & ontologies: Codify your internal knowledge systems and define relationships between domain concepts (e.g., policy → coverage → rider).
  2. Reinforcement loops: Capture feedback from users (engineers, doctors, underwriters) and reinforce learning to refine output.
  3. Control & Clarity: Ensure outputs are auditable and safe for decision-making

Choosing the Right Architecture: Wrapper or Ground-Up?

Not every use case needs to reinvent the wheel. Here’s how to evaluate your stack:

  • LLM Wrappers (e.g., LangChain, semantic RAG): Fast to prototype, good for lightweight tasks
  • Fine-tuned LLMs: Needed when the generic model misses nuance or accuracy
  • Custom-built frameworks: When performance, safety, and integration are mission-critical
Use CaseReasoning
Customer-facing chatbotOften low-stakes, fast-to-deploy use cases. Pre-trained LLMs with a wrapper (e.g., RAG, LangChain) usually suffice. No need for deep fine-tuning or custom infra.
Claims co-pilot (Insurance)Requires understanding domain-specific logic and terminology, so fine-tuning improves reliability. Wrappers can help with speed.
Treatment recommendation (Healthcare)High risk, domain-heavy use case. Needs fine-tuned clinical models and explainable custom frameworks (e.g., for FDA compliance).
Predictive maintenance (Manufacturing)Relies on structured telemetry data. Requires specialized data pipelines, model monitoring, and custom ML frameworks. Not text-heavy, so general LLMs don’t help much.

Strategic Roadmap: From Pilot to Platform

Enterprises typically start with a pilot project—usually an internal tool. But scaling requires more than a PoC. 

Here’s a simplified maturity model that most enterprises follow:

  1. Start Small (Pilot Agent): Use AI for a standalone, low-stakes use case—like summarizing documents or answering FAQs.
  1. Make It Useful (Departmental Agent): Integrate the agent into real team workflows. Example: triaging insurance claims or reviewing clinical notes.
  2. Scale It Up (Enterprise Platform): Connect AI to your key systems—like CRMs, EHRs, or ERPs—so it can automate across more processes. 
  1. Think Big (Federated Intelligence): Link agents across departments to share insights, reduce duplication, and make smarter decisions faster.

What to measure: Track how many tasks are completed with AI assistance versus manually. This shows real-world impact beyond just accuracy.

Closing Thoughts: Domain is the Differentiator

The next phase of AI isn’t about building smarter agents. It’s about building agents that know your world.

Whether you’re designing for underwriting or diagnostics, compliance or production—your agents need to understand your data, your language, and your context.

Ready to Build Your Domain-Native AI Agent? 

Talk to our platform engineering team about building custom-trained, domain-specific AI agents.

Further Reading: AI Code Assistants: Revolution Unveiled

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot