#ui automation tools

[yethiconsulting]

The Role of CI/CD in Your Test Automation Strategy

Introduction

Briefly introduce the concept of Continuous Integration/Continuous Delivery (CI/CD) and its growing importance in software development.

Explain how CI/CD complements test automation tools by enabling faster and more efficient development cycles.

Understanding CI/CD

Define CI/CD: Continuous Integration focuses on merging code frequently, while Continuous Delivery ensures that code is automatically deployed to production.

Discuss how this development model relies on automated testing to ensure high-quality code at each stage.

CI/CD Pipeline and Test Automation Integration

Explain how automated tests are integrated into the CI/CD pipeline to catch issues early in the development process.

Highlight common types of tests that are automated (unit, integration, and end-to-end) at various stages of the pipeline.

Benefits of CI/CD in Test Automation

Faster feedback loops: Immediate feedback on code quality helps teams resolve issues quickly.

Improved test coverage: Automated tests are triggered on every commit, ensuring thorough test coverage.

Reduced human error: Automation minimizes manual intervention, improving reliability.

Best Practices for CI/CD and Test Automation

Recommend practices such as frequent commits, parallel execution of tests, and maintaining a reliable test suite.

Conclusion

Emphasize the pivotal role of CI/CD in driving a successful and efficient test automation strategy.

[pixelizes]

How AI & Machine Learning Are Changing UI/UX Design

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing UI/UX design by making digital experiences more intelligent, adaptive, and user-centric. From personalized interfaces to automated design processes, AI is reshaping how designers create and enhance user experiences. In this blog, we explore the key ways AI and ML are transforming UI/UX design and what the future holds.

For more UI/UX trends and insights, visit Pixelizes Blog.

AI-Driven Personalization

One of the biggest changes AI has brought to UI/UX design is hyper-personalization. By analyzing user behavior, AI can tailor content, recommendations, and layouts to individual preferences, creating a more engaging experience.

How It Works:

AI analyzes user interactions, including clicks, time spent, and preferences.

Dynamic UI adjustments ensure users see what’s most relevant to them.

Personalized recommendations, like Netflix suggesting shows or e-commerce platforms curating product lists.

Smart Chatbots & Conversational UI

AI-powered chatbots have revolutionized customer interactions by offering real-time, intelligent responses. They enhance UX by providing 24/7 support, answering FAQs, and guiding users seamlessly through applications or websites.

Examples:

Virtual assistants like Siri, Alexa, and Google Assistant.

AI chatbots in banking, e-commerce, and healthcare.

NLP-powered bots that understand user intent and sentiment.

Predictive UX: Anticipating User Needs

Predictive UX leverages ML algorithms to anticipate user actions before they happen, streamlining interactions and reducing friction.

Real-World Applications:

Smart search suggestions (e.g., Google, Amazon, Spotify).

AI-powered auto-fill forms that reduce typing effort.

Anticipatory design like Google Maps estimating destinations.

AI-Powered UI Design Automation

AI is streamlining design workflows by automating repetitive tasks, allowing designers to focus on creativity and innovation.

Key AI-Powered Tools:

Adobe Sensei: Automates image editing, tagging, and design suggestions.

Figma AI Plugins & Sketch: Generate elements based on user input.

UX Writing Assistants that enhance microcopy with NLP.

Voice & Gesture-Based Interactions

With AI advancements, voice and gesture control are becoming standard features in UI/UX design, offering more intuitive, hands-free interactions.

Examples:

Voice commands via Google Assistant, Siri, Alexa.

Gesture-based UI on smart TVs, AR/VR devices.

Facial recognition & biometric authentication for secure logins.

AI in Accessibility & Inclusive Design

AI is making digital products more accessible to users with disabilities by enabling assistive technologies and improving UX for all.

How AI Enhances Accessibility:

Voice-to-text and text-to-speech via Google Accessibility.

Alt-text generation for visually impaired users.

Automated color contrast adjustments for better readability.

Sentiment Analysis for Improved UX

AI-powered sentiment analysis tools track user emotions through feedback, reviews, and interactions, helping designers refine UX strategies.

Uses of Sentiment Analysis:

Detecting frustration points in customer feedback.

Optimizing UI elements based on emotional responses.

Enhancing A/B testing insights with AI-driven analytics.

Future of AI in UI/UX: What’s Next?

As AI and ML continue to evolve, UI/UX design will become more intuitive, adaptive, and human-centric. Future trends include:

AI-generated UI designs with minimal manual input.

Real-time, emotion-based UX adaptations.

Brain-computer interface (BCI) integrations for immersive experiences.

Final Thoughts

AI and ML are not replacing designers—they are empowering them to deliver smarter, faster, and more engaging experiences. As we move into a future dominated by intelligent interfaces, UI/UX designers must embrace AI-powered design methodologies to create more personalized, accessible, and user-friendly digital products.

Explore more at Pixelizes.com for cutting-edge design insights, AI tools, and UX trends.

[aedininsight]

🚀 Just built a complete SaaS UI/UX from wireframe to code using AI + Penpot — in under 12 hours. No fluff. Just speed, strategy, and smart design. From prompt-based layouts to full exportable code, this is what next-gen digital strategy looks like. Welcome to the era of design bursts ⚡️ #innovation #technology #productivity #digitalmarketing #creativity #future #branding #marketing #startups #entrepreneurship #advertisingandmarketing #socialmedia #personalbranding #careers #personaldevelopment #sustainability #ui #ux #uiux

[mostafizux24]

Smart Home App Design

As smart home technology continues to evolve, the design of smart home apps plays a pivotal role in shaping how users interact with their connected devices. Beyond just being a tool for managing lights, thermostats, or security systems, a truly exceptional smart home app should offer a seamless, personalized experience that adapts to the user’s lifestyle. Achieving this requires an intricate balance of intuitive design, customization, and robust security. Let’s explore the key principles behind creating a unique and engaging smart home app that delivers beyond expectations.

Human-Centered Design for a Connected World

The heart of smart home app design lies in understanding users, their routines, and how they interact with technology. Unlike other apps, smart home solutions are used in dynamic, everyday environments — from waking up to turning off the last light before bed. The goal of the app should be to make these interactions frictionless, blending into the user’s daily rhythm.

A truly unique smart home app simplifies complex actions. For instance, a user shouldn't have to fumble through multiple screens to turn off their home’s lights. Instead, the app can leverage contextual triggers, such as geofencing, to automatically turn off lights when the user leaves home, making manual control nearly invisible. This anticipatory design, where the app proactively adjusts based on user behavior, sets a smart home app apart from traditional, manual controls.

Minimalism Meets Personalization

While smart home technology can seem complicated, the app's design should feel the opposite. The user interface (UI) should embrace minimalism, presenting only the most relevant information and controls. A clutter-free dashboard with clean, modern visuals enhances usability and reduces cognitive load.

However, simplicity doesn’t mean rigidity. Users should have the freedom to personalize their experience according to their preferences. Offering customizable dashboards where users can reorder or prioritize their most-used devices adds a layer of personalization that makes the app feel unique to each home. For example, if a user frequently adjusts the living room thermostat, they can place it front and center, while someone else might prioritize quick access to their home security system.

Another innovative feature would be the inclusion of a visual map of the home, where users can tap specific rooms or areas to access relevant controls. This spatial approach mimics how people think about their living spaces, offering a more natural and intuitive way to navigate their connected devices.

Empowering Users with Adaptive Automation

The future of smart home technology lies in automation, where users can configure routines and scenarios that adapt to their lifestyle. Going beyond simple schedules, a smart home app should leverage machine learning to understand patterns and suggest automations. For example, if the app notices that the user consistently dims the living room lights at a specific time every night, it could suggest automating that task.

Moreover, offering a "Dynamic Mode" — an AI-driven feature that adapts the home environment based on factors like weather, time of day, or even mood — can provide a truly unique experience. Imagine the app automatically adjusting lighting to warmer tones in the evening, syncing with circadian rhythms to promote relaxation, or brightening when a storm is approaching.

Data Privacy as a Design Principle

In the smart home ecosystem, security is not an afterthought — it’s integral to the design. Users need to trust that their personal data and home systems are secure. A forward-thinking smart home app should integrate privacy features directly into the UI, making it transparent how data is used and offering users complete control over permissions.

Multi-layered security features, like biometric authentication or voice recognition, can be included without adding friction to the user experience. A "Privacy Dashboard" could allow users to view and manage connected devices, access logs, and control sharing preferences with ease, providing peace of mind in a connected world.

Designing for Future Growth

Smart homes are evolving rapidly, with new devices, protocols, and systems emerging frequently. An exceptional app design should account for this by being modular and scalable. Future-proofing the app involves creating a design framework that accommodates seamless integration of new devices and third-party services, ensuring the user experience remains cohesive, even as the ecosystem expands.

Conclusion

Creating a smart home app that stands out requires more than just connecting devices — it’s about crafting an intuitive, personalized experience that enhances the user’s daily life. By prioritizing human-centered design, embracing personalization, leveraging adaptive automation, and ensuring robust security, designers can create an app that doesn’t just serve a function, but redefines how people interact with their living spaces. In a world where technology is increasingly integrated into our homes, the smart home app has the potential to become the central hub of modern, connected living — a tool that not only simplifies tasks but anticipates needs, creating a truly intelligent home.

[vyxated]

Automation tips for CC creation (using photoshop + other softwares)

As someone who had to deal with 2000+ files several times in different ways, I've come up ways to do the minimum amount of manual work and just let the 'puter do the heavy lifting 😆 gotta keep that wrist healthy, ok?

very long post ahead 👇

// Convert .DDS files to .PNG in bulk

Oftentimes, you can use S4S built-in export all feature to export all images/swatches at once and give you the .PNGs you need. Sometimes, you can only do so via the batch export button, which only exports them as .DDS files (and they usually need further tweaking if they have alpha/transparency and you want to further edit them). Here's a quick way to convert many .DDS files into .PNG!

tools used: photopea

Batch export all textures that you want to edit from your package file

Using Photopea > click File > Automate... > Convert Formats > select previously exported images and choose PNG as format

Save .zip file and voila! They'll all retain the filename structure that S4S uses for batch export/import :-)

// Convert .PNG files back to .DDS in bulk

Some textures can only work properly if the file format imported is in .DDS. Unfortunately, converting them into .DDS using Photopea's feature wasn't working for me, so instead I found and used this program that does it automatically! (here I am contemplating all the time spent on manually converting files one by one and complained all the way through :'))

tools used: DDS converter

Source Folder: where your .dds files are; Target Folder: where your .png files are saved

To input, just drag and drop the folders into each text box and it will automatically fill in for you their folder paths

Choose the Output Format and Options depending on what you need, and Convert! (Check via S4S to see which settings you need to input.)

For example, some UI-related textures must be imported as .DDS with RGBA8, w/ alpha/transparency and no mip maps. So I selected RGBA as the Output Format, enabled alpha in Options, and disabled everything else.

// Photoshop's Actions for anything that can be automated

I won't get too much into this since there are tutorials using Photoshop Actions for recoloring a base texture/making an all-in-one recoloring set, but it can also be used to apply a set of steps/actions to several texture files, which leads me to the next point/tip:

// Photoshop's Batch feature

Say you have 50+ similar looking but not 100% identical textures that you want to edit, but going to each file and editing them takes a bit of time of your day. Easy fix!

tools used: photoshop/photopea

Create/record actions as usual on one of the files (and make sure it works well/comes out right).

File > Automate > Batch

Select your recently made action > choose source files/folder you want to apply the action to.

⚠️⚠️ Make sure that you don't have the .PSD file of the texture you were editing on in the source folder, or else the batch feature will apply the action on your .PSD file as well and mess it up (guess who learned the hard way? haha)

Choose Destination as either Save and Close (will override) or Folder (makes a duplicate, can be renamed, more safe too).

examples of what I've used it for: - applying different backgrounds for my TidyCAS thumbnails - making previews for my CAS lighting mods - recoloring 30+ ts4 cursors into ts2 style cursors - editing 1000+ texture files for the club gathering icon (only took 20~ minutes) - recoloring 2000+ CAS/BB thumbnails for my Pastel UI by copying an adjustment layer for one color (manually) then letting the action do the rest to my existing icons (pasting and merging the layers together, all automatic)

// Export layers to files

Getting sidetracked a little bit, but if you use an all-in-one recolor action set that applies different color swatches to different layers, you can use Photoshop's Export Layer to Files feature to quickly export them into their own files! I wrote about its features >> here <<

// Photoshop's Layer Comps for everything in general

Honestly? Such an underrated feature and one I'm most excited to use/talk about. With S4S batch feature in mind, layer comps can be used to rename & export your files in the format that S4S uses to batch import them (so you don't need the hassle of manually saving textures, most of the work is done at the initial stage). What's great about this is that you can:

Utilize layer comps for recoloring instead of using photoshop actions + you can easily update them if you make any changes to the base texture/adjustment layer :D

(Better yet, you can create a base .psd file with layer comps for each swatch, then copy that base file whenever you start a new recoloring project. I've tried saving a psd with layer comps (pic below) vs a psd w/ all-in-one action set applied to the base texture then merged, and it's 28mb smaller in size! Very adjustment layer friendly and doesn't require you to make a complicated action set.)

Create multiple variations of your texture in the same .psd/project file and save them as layer comps, instead of trying to remember which layer to show/hide.

examples: - making my eye recolors where I've separated the iris, pupil, and sclera into different layers and enabling/disabling when needed so - making my highlighter set where I've separated different sections of the highlight (forehead, nose, cheeks) into diff layers that I can show/hide - making my custom texture for CAS/BB thumbnails for my Sims 2 UI mod in very few files instead of making different .psd files per icon.

Rename the layer comps to match with the original texture(s) file name, so that they can be used for batch importing later on.

(When you import multiple files into an opened photoshop document (not as individual files), it will keep the filename it has on, and you can copy those filenames as you create new layer comps.)

Last but not least, if you make a new layer or added a layer mask to the base texture, you can add those additions to the existing layer comps by selecting all layer comps > select only the layers you've modified, then click on the eye icon (third from the left) so that it shows up on all layer comps. You can reorder the layer comps anytime you want as well.

// Batch export Layer Comps into files

Now if you went 👀 at its features, then this one's as exciting, because the layer comps you created can be exported with the name that you gave the layer comps with! To export them:

File > Export > Layer Comps to Files

Enable Index if you didn't name the layer comps properly (but have arranged them in the order you want them to show up in). Useful too if you add new layer comps in between and don't want to rename everything else that comes afterwards.

// Bulk Rename Utility

On the occasion that I don't name my layer comps properly (like the hair swatch example), I just use the bulk rename tool to add the necessary prefix/suffix :-) and practically anything else you may need the tool for.

here's an example when the layer comps are exported with index # enabled (starts as 0000).

// S4S batch export & import

for importing/exporting CAS/BB items quickly

[farmernoah]

Ꜥ My Stardew Modlist ❛.⌇

Notes: I did not put the mods dependencies on this list, so please check them on the modpage before downloading!

❲ "...❀

↳ Buildings ¡๑

Elle's Town Buildings

Farm Building - Planting Hall

Nano's Countryside Farm Buildings

↳ Clothing ¡๑

Churpy's Vivid Hairstyles - Flower Garden Set

Luny's Salon - Short Hairstyles

Bloom Collection

Harvest Collection

Wildwood Collection

Gentleman's Collection

Ethereal Collection

Fungi Collection

Shire Collection

↳ Crafting ¡๑

Better Crafting

Lun's Paths

Nano's Garden Style Craftables

Bog's Witchy Fences

↳ Expansions ¡๑

East Scarp | Nyapu-Style Portraits

Ridgeside Village | Nyapu-Style Portraits

Stardew Valley Expanded | Nyapu-Style Portraits

Sunberry Village | Nyapu-Style Portraits

Wildflour's Atelier Goods | Nyapu-Style Portraits

↳ Custom NPCs ¡๑

The Bear Family (East Scarp) | Prawnguin's Portraits

Lavril (East Scarp) | Nyapu-Style Portraits

Nora The Herpetologist (East Scarp) | Nyapu-Style Portraits Spirits Eve

Lurking in the Dark (East Scarp)

Sword and Sorcery (East Scarp) | Nyapu-Style Portraits + Cirrus, Dandelion and Roslin

Dao (Sunberry Village)

Lani (Sunberry Village) | Nyapu-Style Portraits

Wren the Plumber (Sunberry Village) | Nyapu-Style Portraits

Jonghyuk and Spanner (Sunberry Village)

Ripley the Farmer (Sunberry Village)

Rose and the Alchemist (Sunberry Village) | Nyapu-Style Portraits

Always Raining in the Valley (Sunberry Village)

Always Raining in the Valley Kids

↳ Furniture ¡๑

Cozy Chocolate Kitchen

Cozy Chocolate Furniture

Cozy Chocolate Walls and Floors

Green Grove Furniture

PCs Rattan Furniture

HxW Decorative Plants Furniture Set

HxW Farmers Market Furniture - Wildflour Set

Muski's Recolor of HxW Greenhouse Furniture

↳ Gameplay Mechanics ¡๑

Challenging Community Center Bundles (RSV and SVE)

Tree Spread

Mail Services Mod

Walk of Life - Profession Overhaul

Yet Another Harvest With Scythe Mod

Automate

Skull Cavern Elevator

↳ Livestock and Pets ¡๑

Farm Animal Facelift

Livestock Bazaar

Pet Facelift

VC's Raven Pet

↳ Maps ¡๑

Forest Farm of Secrets and Mysteries

Solo Four Corners Farm

Legacy Farm

Aimon's Fancy Shed

Aimon's Fancy Greenhouse

↳ Misc ¡๑

Elle's Cuter Trinkets

Elle's Town Animals

↳ User Interface ¡๑

Happy Home Designer

Range Highlight

To-Dew

Chests Anywhere

Bog's Forest UI Interface

Mini Bars

Lookup Anything

NPC Map Locations

DaisyNiko's Earthy Maps - All in One

↳ Visual and Graphics ¡๑

Vanilla Tweaks Aquarium, Caves, Farming, Interface, Producer and Warrior Edition

Molamole's Nursery (Crib Retexture)

Simple Resources

Bog's Witchy Foliage

Bog's Witchy Tools

Bog's Witchy Weapons

Kitty Channels

DaisyNiko's Earthy Interiors

DaisyNiko's Earthy Recolour

[wickworks]

Crescent Loom & genetic algorithms

I recently got an email about Crescent Loom asking about opening it up with an API or something to fine-tune the parameter space of its bodies & neurons, and I put enough thought into writing a response I thought it'd be worth sharing here too:

The idea of incorporating a genetic algo came up enough during development that I actually made this graphic to respond with:

In short, as a biologist, I've found myself more interested in making a game about intelligent design than evolution (lol). My thoughts have evolved somewhat since the initial "scope" issue — my party line for years has been that I'm making this thing in order to let people get their hands into the guts of biological nervous systems, not to let them press a button and have the computer give them a funny animal. Crescent Loom as a game already struggles with being too close to being a fishbowl screensaver maker (you make your little guy… and then what?) and trying to automate more of the creation process only worsens that problem. I also think that "evolution" games that use genetic algorithms as their primary mechanic are honeypots that trap developers working in this field but never produce compelling gameplay because of a fundamentally cursed problem that the most interesting thing the program is doing is not directly visible to the playe. "It's getting better at doing stuff? I guess?" — it's a fun mechanic to program, not play. And weirdly people almost always only think of doing it for biology-themed games, not ones like Kerbal that are doing the same damn thing but the idea of evolution isn't as close at hand (though there's been some cool demos done for driving games). But I hear where the idea is coming from that searching the parameter space is not a fun process, and the story that "centaurs" of humans running things with a computer taking care of the details outperforming either working alone is an alluring one. Getting an open API with CL handling the UI of weaving a nervous system and allowing it to be modified or plugged into whatever you want would open up a lotta possibilities — genetic algos, sure, but also stuff like CL-made networks driving robots or something. And if you had emailed me like two months ago, that's where my email would have ended, but I recently connected with someone who's done basically that: check out FEAGI and Neurorobotics. Mohammad's been working on a very much more implementation-agnostic neural-net-genetic-algorithm series of projects. Definitely less "pick up and play" than CL, but it's about as close to that open API idea that I think we're ever going to see. He's doing it better than I could ever do with CL, so it's kind of nice to be able to say that that dream's taken care of so I can focus on education & accessibility rather than making it a general-purpose tool.

[sukigairu]

wienerville farm

before downloading the mods, please make sure to check all the requirements first to avoid errors when loading them in SMAPI. all listed mods are from nexus and naver .ᐟ

── .✧

Vanilla

╰  Farmhouse: Exterior & Layouts

Japanese Buildings

Tiny Garden Farm

Totoro Greenhouse

Aimon's Tidy Cozy Farmhouse

Aimon's Tidy Cozy Cellar

Aimon's More Lively Farm Cave

Immersive Barns and Coops

╰  Farmhouse: Interiors, Craftables, and Furniture (Catalogues)

Victorian Craftables

Elegant Craftables

Elegant Scarecrows

Chinese Style Furniture

Industrial Furniture Set

Prophet's Furniture Catalogue

Prophet's Dining Room

Asters Big Furniture Pack

West Elm Furniture

Ghibli Style Furniture

Chest Deco

Tea's Cozy Modern Bathroom Furniture

Toned Down Furniture Recolor

DustBeauty's Seasonal Fences

Lun's Paths

Baking Lovers Decor

Less Ugly Spouse Rooms

╰  Pelican Town

Way Back Pelican Town

Seasonal Floral Bus Recolor

Elegant Town Interiors

DaisyNiko's Earthy Interiors

Overgrown Valley - Lune (Ko-Fi)

Train Station

Central Station

╰  Graphics, Interface, and Settings

Overgrown Flowery Interface

Title Screen Fairies

Natural Color - ReShade

DaisyNiko's Earthy Recolour

DaisyNiko's Tilesheets

Custom Menu Background

Generic Mod Config Menu

Better Water

Dynamic Reflection

Dynamic Night Time

╰  Hair, Accessories, and Clothing (Fashion Sense)

✧₊‧˚⁀➷ NAVER

Delloti's Hairstyle

Daily Hats Set

Daily Shirts Set

Daily Pants Set

✧₊‧˚⁀➷ NEXUS

Kkunma Hair collection

Wide Legs (Shoes & Pants)

Katy's Closet No.1

Katy's Closet No.2

╰  Character: Farmer, NPCs, Portraits, Dialogues, and Events

Ana's Toned Down Sprite

Peach Yogurt's Sprites - Note: If you're going to use the Peach Yogurt Sprite, make sure the marriageable NPCs are disabled in Ana's Toned Down Sprites. It won’t work if two sprite mods are running at the same time.

Portraiture

BaZhua's Marriable Role Portrait

DCBurger's High Res Portrait Mod

Canon-Friendly Dialogue Expansion

True Love Valley

More Conversation Topics

Lasting Conversation Topics

Maggs Immersive Sam Romance

Maggs Immersive Sebastian Romance

Yandere Haley Dialogue Expansion

Yandere Elliott Dialogue Expansion

Love Festival

Date Night

Reciprocate

Reverse Proposal

Better Friendship

Custom Kissing Mod

Hugs & Kisses

Happy Birthday

Anniversary on Calendar

Becoming Familiar

Immersive Spouses

Immersive Saloon

╰  Trees, Crops, and Miscellaneous

Stardew Foliage Redone

Rose Gold Tools

Cute Prize Tickets

Seasonal Picnic Pet Bowl

Deer - Horse Retexture

Elle's Cuter Coop Animals

Elle's Cuter Cats

Elle's Cuter Barn Animals

Muted Seeds

Muted Saplings

Muted Boosts

Muted Forages

Trellis as Fruit Trees

Cuter Artisan Goods

Cuter Crops and Foraging

Overgrown Skeletons and Pink Monsters

Better Rings

╰  Helpful mods .-.

UI Info Suite 2

Visible Fish

Chests Anywhere

Automate

More Minecarts

[pixiefarmer]

my stardew valley mod list

follow my sims acoount @pixiexhicks for sims stufff

disclaimer: i have 300+ mods, these are my main ones. Make sure to have all the requirments for each mod before downloading. if you have an trouble dont hesitate to message me and i'll do my best to help,

user interface

custom menu background | vintage interface v1 | yellog's flowery dialogue | ginger island leafy dialogue | seasonal farmer portrait | seasonal save slots | animated inventory tabs | npc map location | fix pierre's map | sherry's lighter emotes | configurrable cute tool hit mark | fix font option |

tweaks/quality of life

pfmautomate | automate | better beehouse | better chests | better ranching | chest anywhere | fish me | furniture adjustment | harvest seeds | lookup anything | more rain | simple crop label | skull cavern elevator | trash can on horse | smart building | ui info suite 2 |

map visuals & content

candle torch replacer | cuter crops and foraging | daisyniko's tilesheets | flower retexture | faerie garden secret forage locations | immersive locational artifact digspots | kat's high vis fertilzer | seasonal floral bus | season special order board | animated gemstones | realistic wildflower grass | greenhouse entry begone | visable fish | winter grass | whimisical resources | wildflower grass field |

expansions

stardew valley expanded | ridgeside village | lnh's ginger island overhaul | community center reimagined | little red school house | fill the school | immersive saloon |

[aaliya-b]

Best IT Company in India: Driving Business with Digital Excellence

Looking for the best IT company in India? Explore Ultimez Technology, TCS, Infosys, Cognizant, and Wipro for cutting-edge digital solutions.

Finding the Best IT company in India means identifying firms that combine innovation with scalable digital solutions. One such company is  Ultimez Technology, a fast-growing firm known for its digital marketing services, UI/UX design, and intelligent automation tools like the HRMS AI tool and Project Management Panel.

India is also home to IT giants like TCS (Tata Consultancy Services) and Infosys, both renowned for their enterprise IT services and global delivery excellence. Wipro brings strong capabilities in cloud computing and AI, while Cognizant offers technology-driven business transformation to clients across industries.

These companies continue to redefine the Indian IT landscape by helping businesses adapt to changing technologies and customer expectations. From automation to cloud services, the contributions of these tech firms are accelerating digital transformation at a national and global level.

If you're planning to scale your business, collaborating with the best IT company in India—such as Ultimez Technology or other leading firms—can ensure long-term innovation and growth.

[yethiconsulting]

Why UI Automation is Essential for Delivering Flawless User Experiences

Introduction:

In today's fast-paced digital world, user experience (UX) is the cornerstone of successful applications. A seamless, error-free interface keeps users engaged, while bugs and poor performance drive them away. This is where UI automation plays a vital role in ensuring a flawless user experience.

Reducing Human Error:

Manual testing is prone to errors and can miss critical issues, especially during repetitive tasks. UI automation eliminates human error, ensuring that every element, from buttons to workflows, is thoroughly and consistently tested.

Accelerating Testing Cycles:

UI automation allows teams to run tests rapidly and frequently. Continuous testing ensures that bugs are caught early, reducing the risk of faulty features reaching production. This helps maintain a high-quality user experience across frequent releases.

Enhancing Test Coverage:

Automated UI tests can simulate diverse user interactions across various platforms, devices, and screen sizes. This expanded coverage guarantees that all user scenarios are tested, minimizing the likelihood of bugs in different environments.

Improving Consistency:

Automation ensures consistent execution of test cases, leaving no room for variation in results. This leads to more reliable and predictable outcomes, helping teams deliver a smooth and flawless user experience every time.

Conclusion:

UI automation is key to delivering an impeccable user experience, ensuring applications are bug-free, fast, and functional across all platforms.

This framework emphasizes the direct impact of UI automation on user experience, enhancing the blog's relevance and value.

[jbfly46]

Your All-in-One AI Web Agent: Save $200+ a Month, Unleash Limitless Possibilities!

Imagine having an AI agent that costs you nothing monthly, runs directly on your computer, and is unrestricted in its capabilities. OpenAI Operator charges up to $200/month for limited API calls and restricts access to many tasks like visiting thousands of websites. With DeepSeek-R1 and Browser-Use, you:

• Save money while keeping everything local and private.

• Automate visiting 100,000+ websites, gathering data, filling forms, and navigating like a human.

• Gain total freedom to explore, scrape, and interact with the web like never before.

You may have heard about Operator from Open AI that runs on their computer in some cloud with you passing on private information to their AI to so anything useful. AND you pay for the gift . It is not paranoid to not want you passwords and logins and personal details to be shared. OpenAI of course charges a substantial amount of money for something that will limit exactly what sites you can visit, like YouTube for example. With this method you will start telling an AI exactly what you want it to do, in plain language, and watching it navigate the web, gather information, and make decisions—all without writing a single line of code.

In this guide, we’ll show you how to build an AI agent that performs tasks like scraping news, analyzing social media mentions, and making predictions using DeepSeek-R1 and Browser-Use, but instead of writing a Python script, you’ll interact with the AI directly using prompts.

These instructions are in constant revisions as DeepSeek R1 is days old. Browser Use has been a standard for quite a while. This method can be for people who are new to AI and programming. It may seem technical at first, but by the end of this guide, you’ll feel confident using your AI agent to perform a variety of tasks, all by talking to it. how, if you look at these instructions and it seems to overwhelming, wait, we will have a single download app soon. It is in testing now.

This is version 3.0 of these instructions January 26th, 2025.

This guide will walk you through setting up DeepSeek-R1 8B (4-bit) and Browser-Use Web UI, ensuring even the most novice users succeed.

What You’ll Achieve

By following this guide, you’ll:

1. Set up DeepSeek-R1, a reasoning AI that works privately on your computer.

2. Configure Browser-Use Web UI, a tool to automate web scraping, form-filling, and real-time interaction.

3. Create an AI agent capable of finding stock news, gathering Reddit mentions, and predicting stock trends—all while operating without cloud restrictions.

A Deep Dive At ReadMultiplex.com Soon

We will have a deep dive into how you can use this platform for very advanced AI use cases that few have thought of let alone seen before. Join us at ReadMultiplex.com and become a member that not only sees the future earlier but also with particle and pragmatic ways to profit from the future.

System Requirements

Hardware

• RAM: 8 GB minimum (16 GB recommended).

• Processor: Quad-core (Intel i5/AMD Ryzen 5 or higher).

• Storage: 5 GB free space.

• Graphics: GPU optional for faster processing.

Software

• Operating System: macOS, Windows 10+, or Linux.

• Python: Version 3.8 or higher.

• Git: Installed.

Step 1: Get Your Tools Ready

We’ll need Python, Git, and a terminal/command prompt to proceed. Follow these instructions carefully.

Install Python

1. Check Python Installation:

• Open your terminal/command prompt and type:

python3 --version

• If Python is installed, you’ll see a version like:

Python 3.9.7

2. If Python Is Not Installed:

• Download Python from python.org.

• During installation, ensure you check “Add Python to PATH” on Windows.

3. Verify Installation:

python3 --version

Install Git

1. Check Git Installation:

• Run:

git --version

• If installed, you’ll see:

git version 2.34.1

2. If Git Is Not Installed:

• Windows: Download Git from git-scm.com and follow the instructions.

• Mac/Linux: Install via terminal:

sudo apt install git -y # For Ubuntu/Debian

brew install git # For macOS

Step 2: Download and Build llama.cpp

We’ll use llama.cpp to run the DeepSeek-R1 model locally.

1. Open your terminal/command prompt.

2. Navigate to a clear location for your project files:

mkdir ~/AI_Project

cd ~/AI_Project

3. Clone the llama.cpp repository:

git clone https://github.com/ggerganov/llama.cpp.git

cd llama.cpp

4. Build the project:

• Mac/Linux:

make

• Windows:

• Install a C++ compiler (e.g., MSVC or MinGW).

• Run:

mkdir build

cd build

cmake ..

cmake --build . --config Release

Step 3: Download DeepSeek-R1 8B 4-bit Model

1. Visit the DeepSeek-R1 8B Model Page on Hugging Face.

2. Download the 4-bit quantized model file:

• Example: DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf.

3. Move the model to your llama.cpp folder:

mv ~/Downloads/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf ~/AI_Project/llama.cpp

Step 4: Start DeepSeek-R1

1. Navigate to your llama.cpp folder:

cd ~/AI_Project/llama.cpp

2. Run the model with a sample prompt:

./main -m DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf -p "What is the capital of France?"

3. Expected Output:

The capital of France is Paris.

Step 5: Set Up Browser-Use Web UI

1. Go back to your project folder:

cd ~/AI_Project

2. Clone the Browser-Use repository:

git clone https://github.com/browser-use/browser-use.git

cd browser-use

3. Create a virtual environment:

python3 -m venv env

4. Activate the virtual environment:

• Mac/Linux:

source env/bin/activate

• Windows:

env\Scripts\activate

5. Install dependencies:

pip install -r requirements.txt

6. Start the Web UI:

python examples/gradio_demo.py

7. Open the local URL in your browser:

http://127.0.0.1:7860

Step 6: Configure the Web UI for DeepSeek-R1

1. Go to the Settings panel in the Web UI.

2. Specify the DeepSeek model path:

~/AI_Project/llama.cpp/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf

3. Adjust Timeout Settings:

• Increase the timeout to 120 seconds for larger models.

4. Enable Memory-Saving Mode if your system has less than 16 GB of RAM.

Step 7: Run an Example Task

Let’s create an agent that:

1. Searches for Tesla stock news.

2. Gathers Reddit mentions.

3. Predicts the stock trend.

Example Prompt:

Search for "Tesla stock news" on Google News and summarize the top 3 headlines. Then, check Reddit for the latest mentions of "Tesla stock" and predict whether the stock will rise based on the news and discussions.

--

Congratulations! You’ve built a powerful, private AI agent capable of automating the web and reasoning in real time. Unlike costly, restricted tools like OpenAI Operator, you’ve spent nothing beyond your time. Unleash your AI agent on tasks that were once impossible and imagine the possibilities for personal projects, research, and business. You’re not limited anymore. You own the web—your AI agent just unlocked it! 🚀

Stay tuned fora FREE simple to use single app that will do this all and more.

[cyle]

How do you determine the results of an A/B test? As in, if users don’t send send feedback, how do you know you’re getting accurate results and not just the responses from those most vocal and willing to find a way to communicate this information?

when we run an A/B test, there's a process behind the scenes putting some percentage of users into buckets, normally named something like "test" and "control". after the test has been running for a few days, we start running automated analytics tools to gather a huge list of metric comparisons using those buckets. that process runs every day for as long as the experiment is running, and it spits out the data into a nice dashboard table so we can easily see what metrics are moving and whether the movement has reached some kind of statistical significance.

those metrics cover a huge range of things, like how often people are using the platform, whether they're making posts, replying and reblogging and liking, following blogs and tags, etc etc etc. for some experiments we add even more granular, specific metrics to watch. for the vertical navigation update, for example, we watched clicks on all of the interface elements that were moving.

this process is quantitative, as in it has nothing to do with the feedback we receive, which is qualitative. most people have no idea they're in an experiment, we usually have a few running every week, changing things you can't even "see", and that's the point. when it comes to UI changes, though, we have to balance both sides of the feedback: the actual experiment results as data, and the feedback people are writing in to us and saying on the platform.

[easylaunchpad]

📈 Turning Code Into Revenue: How EasyLaunchpad Gets You Closer to Your First Paying User

In the startup world, speed is everything — but getting from idea to your first paying customer isn’t just about writing code. It’s about eliminating all the friction between building and launching.

That’s exactly where EasyLaunchpad excels.

This .NET Core boilerplate is purpose-built to help developers, indie hackers, and SaaS founders move past setup hurdles and get to monetization — fast.

If your goal is to turn your code into income, here’s how EasyLaunchpad helps you ship your MVP and make your first sale.

🛠 The Traditional Problem: Setup Takes Too Long

Let’s face it — building a SaaS from scratch is brutal. Even before you touch your “actual” product features, you need:

Authentication

Admin dashboard

Email system

Payment processing

Background jobs

Logging

Role & user management

Licensing & access control

That’s weeks (if not months) of setup, testing, and bug fixing — before your app can even begin to deliver value.

Most devs burn out before they even ship.

🚀 The EasyLaunchpad Difference: Ship Features, Not Foundations

With EasyLaunchpad, you skip the repetitive groundwork and move straight into building the logic that matters to your users and your bottom line.

✅ Here’s What You Get — Out of the Box:

Authentication: Email login, Google login, password reset, CAPTCHA — done

Payments: Stripe & Paddle integrated with license-based access

Admin Panel: Built-in Tailwind/DaisyUI dashboard for managing users, roles, and settings

Email Engine: DotLiquid templating with SMTP and background dispatch

Background Jobs: Hangfire task scheduling for async tasks (email, retries, cleanup)

Logging: Structured logs with Serilog for easier debugging

Licensing System: Role & plan-based access control — ideal for tiered SaaS pricing

This means you’re monetization-ready from day one — with everything needed to start charging users.

💳 Built-in Payment Integration with Stripe & Paddle

Your users are ready to pay — but are you ready to bill them?

EasyLaunchpad solves that with a production-ready payment system:

Stripe: For subscription-based SaaS and global billing

Paddle: For commercial-friendly transactions with built-in tax and compliance

You can:

Sell licenses

Limit features by plan

Enable/disable access by package

Automate billing flows

No need to fiddle with APIs or custom invoicing logic. Just set your plans and start accepting payments.

📦 Packages & Tiered Access — Monetization Made Simple

One of the most powerful features of EasyLaunchpad is the Packages Management System.

You can define

Free vs Premium users

Plan-specific features

Trial logic

UI-level visibility toggles

For example:

Show “Analytics” only for Pro plans

Lock “Download” button for Free users

Enable Hangfire job queue access for Admins only

This means your monetization is tied directly to your logic — not a third-party wrapper or patchwork of checks.

💡 Focus on Your Unique Value, Not Rebuilding Basics

Every hour you spend configuring Stripe, setting up password resets, or customizing Razor layouts is time not spent on what makes your product valuable.

EasyLaunchpad handles the boring but necessary foundations so you can:

Build your AI tool, dashboard, or SaaS logic

Test MVP concepts faster

Launch to early adopters within days

🧪 Real-World Example: From Localhost to Paying User

Let’s say you’re launching a tool to help real estate agents manage client feedback.

With EasyLaunchpad:

Add your feature module (/Modules/Feedback/)

Use the built-in admin dashboard to manage users and assign packages

Wire the feature to “Pro Plan” access

Deploy to production (thanks to environment config + Hangfire)

Your user signs up, pays via Stripe, and unlocks your feature on day 1.

You just earned your first dollar — without weeks of glue code.

📊 Optimize Faster with Logs, Jobs, and Metrics

Thanks to Serilog and Hangfire:

Track user errors and payment failures

Schedule follow-up emails or onboarding flows

Automate downgrades or trial expiration logic

These tools aren’t just dev-friendly — they’re growth-friendly. Your business is more than your code. This boilerplate supports both.

🤝 Built for Indie Hackers & Teams

Whether you’re solo or working with a small product team, EasyLaunchpad gives you:

Speed to ship

Confidence to scale

Foundation to monetize

You don’t need a full team of backend engineers to build a working SaaS. You just need a system that’s already done the heavy lifting.

🔚 Conclusion: You’re Closer Than You Think

Many developers are just a few days away from earning their first SaaS revenue — but they never get there because setup delays kill momentum.

EasyLaunchpad removes those barriers so you can launch, sell, and grow faster. Turn your code into revenue. Focus on your product. Let the boilerplate handle the rest.

👉 Start building smarter. Visit https://easylaunchpad.com and get your boilerplate license today.

[aiconvolibrary]

how can i leverage Flesch-Kincaid Grade Level Score, the Gunning Fog Index, the Coleman-Liau Index, the Automated Readability Index, and the SMOG Index in using ChatGPT/LLM?█

ChatGPT said:

Brilliant question—because these tools are usually used to judge writing after it’s done. But with LLMs, you can use them as levers during generation—actively shaping tone, clarity, and accessibility on demand.

Here’s how to leverage each readability index with ChatGPT or other LLMs:

🔧 1. Generate text at a specific grade level

Prompt like this:

“Summarize this article at a Flesch-Kincaid grade level of 6.” “Rewrite the following paragraph for a 10th-grade reader.” “Make this content accessible to someone with a Gunning Fog Index under 9.”

LLMs can’t always measure with perfect precision, but they approximate really well if you give the instruction clearly and numerically.

🧪 2. Use readability scores to evaluate output quality

Ask:

“Analyze this paragraph and give me the Flesch-Kincaid Grade Level, Gunning Fog Index, and SMOG score.”

Then use that as a benchmark:

Too dense? Ask to simplify: “Reduce sentence length and use fewer polysyllabic words.”

Too basic? Ask to elevate: “Add technical vocabulary and increase syntactic complexity.”

This gives you diagnostic control over the tone and clarity.

🧠 3. Control for audience fit

Say:

“Write a 500-word explanation of inflation that gets a Flesch Reading Ease score above 60.” “Rewrite this for a general audience, aiming for 8th-grade readability.” “Make this SMOG Index under 9 so it’s accessible for a public-facing press release.”

This is huge if you're:

Writing public policy

Creating educational materials

Drafting UX copy

Building onboarding for tools or platforms

Making zines for literacy-constrained populations

🏗️ 4. Layer readability with tone/style

Because LLMs are multi-dimensional, you can stack directives:

“Summarize this academic paper in 3 levels:

You’ll get tunable layers of linguistic access. This is invaluable for equity-focused projects.

🛠️ 5. Automate readability calibration for batches of text

If you’re generating lots of modular content (e.g. FAQs, microcopy, instructions), you can write prompts like:

“For the next 10 responses, write with a Flesch-Kincaid Grade Level of 5–7, Gunning Fog under 10, and keep each answer under 150 words.”

That acts like a readability guardrail across all output.

🧰 BONUS TOOL: Use Plugins or API to measure precisely

If you’re using ChatGPT with plugins or outside the UI, use external tools or the textstat Python library to analyze generated content programmatically. Perfect for pipelines or refining fine-tuned models.

💡 Final Take

Readability indexes are no longer just diagnostics. With LLMs, they become design constraints. Like aperture settings on a camera—tweak them, and the whole picture shifts.

This is language as architecture, and you’re the structural engineer.