#AI automation tools

[olivergisttv]

How to Create Custom AI Assistants Without Coding

In the age of automation, having your own AI assistant can drastically improve productivity, streamline tasks, and enhance customer service. The best part? You don’t need to be a programmer to create one. With no-code platforms, creating custom AI assistants is easier than ever. Here’s a step-by-step guide on how to build your very own AI assistant without writing a single line of code. 1. Choose…

[bixels]

As cameras becomes more normalized (Sarah Bernhardt encouraging it, grifters on the rise, young artists using it), I wanna express how I will never turn to it because it fundamentally bores me to my core. There is no reason for me to want to use cameras because I will never want to give up my autonomy in creating art. I never want to become reliant on an inhuman object for expression, least of all if that object is created and controlled by manufacturing companies. I paint not because I want a painting but because I love the process of painting. So even in a future where everyone’s accepted it, I’m never gonna sway on this.

if i have to explain to you that using a camera to take a picture is not the same as using generative ai to generate an image then you are a fucking moron.

[feetpiclovers]

Ready to level up your FeetFinder game in 2025? In this video, I’m showing how AI tools are changing the game for every content creator out there — especially those running a faceless YouTube channel or building a strong digital brand.

Learn how to use ChatGPT to write high-converting chat GPT captions, schedule content using Metricool or Later, and automate your inbox with smart chatbot templates, chat automation, and DM automation tools. Whether you’re focused on AI marketing, growing your social media management system, or just saving time with content automation, this guide is packed with tips.

I’ll walk you through building a powerful digital persona, managing a full creative workflow, and even launching a blog or AI blog for foot care, including content like how to massage feet and weekly foot affirmations. Plus, we’ll talk niche research, AI captions, AI thumbnails, and how to stay authentic while scaling.

If you're serious about using AI for content creators or AI for content creation, this one’s for you. Smash that like button, hit subscribe, and let’s build smarter, not harder.

[wahoo-stomp]

I spent five years coming up with unique ways to photograph the same group of plushies to help tell a story.

You don't need AI to help you be creative, you're just being lazy and want brain chemicals without doing any of the work or respecting the people who put time and effort into it.

[toolsprovider]

6 Powerful YouTube Tools — Free & Online

Speed up your YouTube workflow with these must-have tools by Thumbnail Downloader. No login required, 100% browser-based!

YouTube Thumbnail Downloader – Instantly preview and save thumbnails in HD.

2. Profile Picture Downloader – Get any channel’s profile photo in full resolution.

3. Channel Banner Downloader – View and download channel art in one click.

4. YouTube Video Trimmer – Trim and cut YouTube videos online without downloading.

5. Transcript Viewer – Extract subtitles and closed captions from any video.

6. YouTube Comment Picker – Run giveaways or pick random winners easily.

[smilyboyy]

🚀 I Built AutoFillix – A Smart Chrome Extension to Autofill Forms Instantly

Like many developers, I was tired of filling out the same details over and over — name, email, phone number — every time I submitted a job form, Google Form, or sign-up page.

So I built AutoFillix, a smart and secure Chrome extension that:

Autofills common fields (name, email, phone, etc.)

Works on Google Forms and regular web forms

Stores your data locally (no login, no cloud)

Is completely free and easy to use

🔐 Why it’s different:

AutoFillix respects your privacy. Your data stays in your browser — nothing is sent to a server.

🧩 Try It Out:

👉 Install AutoFillix from the Chrome Web Store

💬 Feedback Welcome:

This is just the beginning! If you have suggestions or ideas, feel free to comment. 😊

[productsiddha]

From Data to Decisions: Leveraging Product Analytics and AI Services for Faster B2B Innovation

In today’s competitive B2B landscape, innovation isn’t just about having a great product idea. It’s about bringing that idea to life faster, smarter, and with precision. That means making every decision based on real data, not guesswork. At Product Siddha, we help businesses unlock faster B2B innovation by combining the power of product analytics and AI services into one seamless strategy.

Why B2B Innovation Fails Without Data-Driven Insight

Most B2B companies struggle to innovate at scale because they lack visibility into what users actually do. Product teams launch features based on assumptions. Marketing teams operate without a feedback loop. Sales teams miss opportunities due to fragmented data. This disconnect creates wasted effort and missed growth.

Product analytics is the solution to this problem. When integrated with AI services, you don’t just track user behavior — you predict it. This lets you make smarter decisions that directly improve your product roadmap, customer experience, and business outcomes.

The Power of Product Analytics in B2B Growth

Product analytics turns user behavior into actionable insight. Instead of relying on vanity metrics, Product Siddha helps you understand how real people interact with your product at every stage. We implement tools that give you a complete view of the user journey — from first touchpoint to long-term retention.

With powerful product analytics, you can:

Identify high-impact features based on real usage

Spot friction points and user drop-offs quickly

Personalize product experiences for higher engagement

Improve onboarding, reduce churn, and boost ROI

This is not just reporting. It’s clarity. It’s control. And it’s the foundation of faster B2B innovation.

Accelerate Outcomes with AI Services That Work for You

While product analytics shows you what’s happening, AI services help you act on that data instantly. Product Siddha designs and builds low-code AI-powered systems that reduce manual work, automate decisions, and create intelligent workflows across teams.

With our AI services, B2B companies can:

Automatically segment users and personalize messaging

Trigger automated campaigns based on user behavior

Streamline product feedback loops

Deliver faster support with AI chatbots and smart routing

Together, AI and analytics make your product smarter and your business more efficient. No more delayed decisions. No more data silos. Just continuous improvement powered by automation.

Our Approach: Build, Learn, Optimize

At Product Siddha, we believe innovation should be fast, measurable, and scalable. That’s why we use a 4-step framework to integrate product analytics and AI services into your workflow.

Build Real, Fast

We help you launch an MVP with just enough features to test real-world usage and start gathering data.

Learn What Matters

We set up product analytics to capture user behavior and feedback, turning that information into practical insight.

Stack Smart Tools

Our AI services integrate with your MarTech and product stack, automating repetitive tasks and surfacing real-time insights.

Optimize with Focus

Based on what you learn, we help you refine your product, personalize your messaging, and scale growth efficiently.

Why Choose Product Siddha for B2B Innovation?

We specialize in helping fast-moving B2B brands like yours eliminate complexity and move with clarity. At Product Siddha, we don’t just give you data or automation tools — we build intelligent systems that let you move from data to decisions in real time.

Our team combines deep expertise in product analytics, AI automation, and B2B marketing operations. Whether you’re building your first product or scaling an existing one, we help you:

Reduce time-to-market

Eliminate development waste

Align product and growth goals

Launch with confidence

Visit Product Siddha to explore our full range of services.

Let’s Turn Insight into Innovation

If you’re ready to use product analytics and AI services to unlock faster B2B innovation, we’re here to help. Product Siddha builds smart, scalable systems that help your teams learn faster, move faster, and grow faster.

Call us today at 98993 22826 to discover how we can turn your product data into your biggest competitive advantage.

[yethiconsulting]

Exploring the Benefits of AI Automation Tools in QA Testing

AI automation tools in QA testing have transformed how software teams approach quality assurance, offering faster, more accurate testing processes and minimizing human error. One of the primary benefits is increased test coverage; AI-driven tools can automatically generate and execute extensive test cases across different scenarios, which significantly boosts testing accuracy and helps identify hidden bugs.

These tools also bring efficiency and speed to QA by running tests simultaneously across platforms, reducing the time it takes to validate code changes and detect potential issues early. For example, AI-powered testing platforms like Testim and Applitools employ machine learning to detect visual discrepancies and UI changes, ensuring applications remain functional across different devices and screen resolutions.

Another key advantage is improved defect detection. AI algorithms can identify patterns in testing data and highlight anomalies with a level of precision that manual testing often cannot achieve. This enables faster debugging and enhances the reliability of software before release.

Furthermore, self-healing capabilities in AI testing tools adjust test scripts automatically to accommodate changes in the application, reducing maintenance overhead. With these benefits, AI automation tools empower QA teams to meet the growing demand for fast, reliable software deployment in today’s agile development environment.

[synergeticsai]

AI Automation Tools

Autonomous agents are AI automation tools that perform tasks on their own based on a given objective. Not just that, these agents can also complete these tasks, create new ones, prioritize the task list, interact with other AI agents, and loop until they reach their objective.

[jcmarchi]

Stackpack Secures $6.3M to Reinvent Vendor Management in an AI-Driven Business Landscape

New Post has been published on https://thedigitalinsider.com/stackpack-secures-6-3m-to-reinvent-vendor-management-in-an-ai-driven-business-landscape/

Stackpack Secures $6.3M to Reinvent Vendor Management in an AI-Driven Business Landscape

In a world where third-party tools, services, and contractors form the operational backbone of modern companies, Stackpack has raised $6.3 million to bring order to the growing complexity.

Led by Freestyle Capital, the funding round includes support from Elefund, Upside Partnership, Nomad Ventures, Layout Ventures, MSIV Fund, and strategic angels from Intuit, Workday, Affirm, Snapdocs, and xAI.

The funding supports Stackpack’s mission to redefine how businesses manage their expanding vendor networks—an increasingly vital task as organizations now juggle hundreds or even thousands of external partners and platforms.

Turning Chaos into Control

Founded in 2023 by Sara Wyman, formerly of Etsy and Affirm, Stackpack was built to solve a problem she knew too well: modern companies are powered by vendors, yet most still track them with outdated methods—spreadsheets, scattered documents, and guesswork. With SaaS stacks ballooning and AI tools proliferating, unmanaged vendors become silent liabilities.

“Companies call themselves ‘people-first,’ but in reality, they’re becoming ‘vendor-first,’” said Wyman. “There are often 6x more vendors than employees. Yet there’s no system of record to manage that shift—until now.”

Stackpack gives finance and IT teams a unified, AI-powered dashboard that provides real-time visibility into vendor contracts, spend, renewals, and compliance risks. The platform automatically extracts key contract terms like auto-renewal clauses, flags overlapping subscriptions, and even predicts upcoming renewals buried deep in PDFs.

AI That Works Like a Virtual Vendor Manager

Stackpack’s Behavioral AI Engine acts as an intelligent assistant, surfacing hidden cost-saving opportunities, compliance risks, and critical dates. It not only identifies inefficiencies—it takes action, issuing alerts, initiating workflows, and providing recommendations across the vendor lifecycle.

For instance:

Renewal alerts prevent surprise charges.

Spend tracking identifies underused or duplicate tools.

Contract intelligence extracts legal and pricing terms from uploads or integrations with tools like Google Drive.

Approval workflows streamline onboarding and procurement.

This brings the kind of automation once reserved for enterprise procurement platforms like Coupa or SAP to startups and mid-sized businesses—at a fraction of the cost.

A Timely Solution for a Growing Problem

Vendor management has become a boardroom issue. As more companies shift budgets from headcount to outsourced services, compliance and financial oversight have become harder to maintain. Stackpack’s early traction is proof of demand: just months after launch, it’s managing over 10,500 vendors and $510 million in spend across more than 50 customers, including Every Man Jack, Rho, Density, HouseRx, Fexa, and ZeroEyes.

“The CFO is the one left holding the bag when things go wrong,” said Brandon Lee, Accounting Manager at BizzyCar. “Stackpack means we don’t have to cross our fingers every quarter.”

Beyond Visibility: Enabling Smarter Vendor Decisions

Alongside its core platform, Stackpack is launching Requests & Approvals, a lightweight tool to simplify vendor onboarding and purchasing decisions—currently in beta. The feature is already attracting customers looking for faster, more agile alternatives to traditional procurement systems.

With a long-term vision to help companies not only manage but discover and evaluate vendors more strategically, Stackpack is laying the groundwork for a smarter, interconnected vendor ecosystem.

“Every vendor decision carries legal, financial, and security consequences,” said Dave Samuel, General Partner at Freestyle Capital. “Stackpack is building the intelligent infrastructure to manage these relationships proactively.”

The Future of Vendor Operations

As third-party ecosystems grow in size and complexity, Stackpack aims to transform vendor operations from a liability into a competitive advantage. Its AI-powered approach gives companies a modern operating system for vendor management—one that’s scalable, proactive, and deeply integrated into finance and operations.

“This isn’t just about cost control—it’s about running a smarter company,” said Wyman. “Managing your vendors should be as strategic as managing your talent. We’re giving companies the tools to make that possible.”

With fresh funding and a rapidly expanding customer base, Stackpack is poised to become the new standard for how modern businesses manage the partners powering their growth.

[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.

[aipediatools]

Discover Aipedia: The Ultimate AI Tools Directory

Introducing Aipedia – The Ultimate AI Tools Directory!

AI is transforming industries, and finding the right AI tools can be overwhelming. That’s why we created Aipedia – a curated directory of AI tools for content creation, automation, SEO, video editing, and more!

🌟 Why Choose Aipedia?

✅ Comprehensive AI Listings – Find AI tools across multiple categories. ✅ Easy Search & Filters – Discover tools based on pricing and features. ✅ Regular Updates – Stay updated with the latest AI innovations. ✅ Submit Your AI Tool – AI developers can list their tools for exposure.

🔍 Explore Aipedia Now: Aipedia.in

📢 Join the AI Revolution & Supercharge Your Productivity!

[whentherewerebicycles]

this is a very dumb headline for what is actually a nice little meditation on the value of writing. nothing especially groundbreaking here esp for people who are already anti-generative AI in education but i want to save it as it might be interesting to teach a piece like this alongside a more pro-AI piece sometime.

[truetechreview]

Top 5 DeepSeek AI Features Powering Industry Innovation

Table of Contents1. The Problem: Why Legacy Tools Can’t Keep Up2. What Makes DeepSeek AI Unique?3. 5 Game-Changing DeepSeek AI Features (with Real Stories)3.1 Adaptive Learning Engine3.2 Real-Time Anomaly Detection3.3 Natural Language Reports3.4 Multi-Cloud Sync3.5 Ethical AI Auditor4. How These Features Solve Everyday Challenges5. Step-by-Step: Getting Started with DeepSeek AI6. FAQs: Your…