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computer-use-preview is OpenAI’s groundbreaking experimental model that enables AI agents to interact with computer interfaces—just like a human would. It combines GPT-4o’s vision and reasoning capabilities with reinforcement learning to perceive, navigate, and control graphical user interfaces (GUIs) using screenshots and natural language instructions . This model can perform tasks such as clicking buttons, typing text, filling out forms, and navigating multi-step workflows across web and desktop applications. It represents a significant step toward general-purpose AI agents capable of automating real-world digital tasks without relying on traditional APIs.


computer-use-preview is OpenAI’s groundbreaking experimental model that enables AI agents to interact with computer interfaces—just like a human would. It combines GPT-4o’s vision and reasoning capabilities with reinforcement learning to perceive, navigate, and control graphical user interfaces (GUIs) using screenshots and natural language instructions . This model can perform tasks such as clicking buttons, typing text, filling out forms, and navigating multi-step workflows across web and desktop applications. It represents a significant step toward general-purpose AI agents capable of automating real-world digital tasks without relying on traditional APIs.


computer-use-preview is OpenAI’s groundbreaking experimental model that enables AI agents to interact with computer interfaces—just like a human would. It combines GPT-4o’s vision and reasoning capabilities with reinforcement learning to perceive, navigate, and control graphical user interfaces (GUIs) using screenshots and natural language instructions . This model can perform tasks such as clicking buttons, typing text, filling out forms, and navigating multi-step workflows across web and desktop applications. It represents a significant step toward general-purpose AI agents capable of automating real-world digital tasks without relying on traditional APIs.


Kadoa.com is an AI-powered web scraping and data extraction platform that enables businesses and individuals to automatically extract, transform, and validate web data at scale, without writing code. Its core purpose is to eliminate the complexities of traditional web scraping, offering a "self-healing" system that adapts to website changes and ensures data accuracy and compliance. Kadoa aims to drastically cut down the time to insight by automating the entire data workflow, from extraction to integration.


Kadoa.com is an AI-powered web scraping and data extraction platform that enables businesses and individuals to automatically extract, transform, and validate web data at scale, without writing code. Its core purpose is to eliminate the complexities of traditional web scraping, offering a "self-healing" system that adapts to website changes and ensures data accuracy and compliance. Kadoa aims to drastically cut down the time to insight by automating the entire data workflow, from extraction to integration.


Kadoa.com is an AI-powered web scraping and data extraction platform that enables businesses and individuals to automatically extract, transform, and validate web data at scale, without writing code. Its core purpose is to eliminate the complexities of traditional web scraping, offering a "self-healing" system that adapts to website changes and ensures data accuracy and compliance. Kadoa aims to drastically cut down the time to insight by automating the entire data workflow, from extraction to integration.


Alumnium is an experimental, open-source AI test automation library designed to streamline the creation and execution of browser-based tests with high-level, human-readable instructions. Built by software and QA engineers, it enhances traditional testing frameworks by allowing code to be written in plain-language commands such as do, check, and get, which are then transformed into executable test actions by the AI. This tool bridges the gap between manual scripting and full event-driven automation, promoting flexibility with major frameworks like Selenium, Playwright, and Appium, and supporting Python today—with JavaScript and Ruby coming soon.


Alumnium is an experimental, open-source AI test automation library designed to streamline the creation and execution of browser-based tests with high-level, human-readable instructions. Built by software and QA engineers, it enhances traditional testing frameworks by allowing code to be written in plain-language commands such as do, check, and get, which are then transformed into executable test actions by the AI. This tool bridges the gap between manual scripting and full event-driven automation, promoting flexibility with major frameworks like Selenium, Playwright, and Appium, and supporting Python today—with JavaScript and Ruby coming soon.


Alumnium is an experimental, open-source AI test automation library designed to streamline the creation and execution of browser-based tests with high-level, human-readable instructions. Built by software and QA engineers, it enhances traditional testing frameworks by allowing code to be written in plain-language commands such as do, check, and get, which are then transformed into executable test actions by the AI. This tool bridges the gap between manual scripting and full event-driven automation, promoting flexibility with major frameworks like Selenium, Playwright, and Appium, and supporting Python today—with JavaScript and Ruby coming soon.


TestDriver.ai is an AI-powered quality assurance and end-to-end testing agent built to help engineering teams automate UI and functional tests without brittle selectors or heavy test script maintenance. It enables users to generate tests using natural language prompts, run them across web, desktop, or hybrid applications, and integrate them into CI/CD pipelines so tests validate Pull Requests, catch regressions, and ensure continuous app quality. By using vision-based “selectorless” testing and AI-driven adaptation, TestDriver.ai aims to reduce the time engineers spend writing, updating, and debugging tests, while improving coverage, test reliability, and feedback speed.


TestDriver.ai is an AI-powered quality assurance and end-to-end testing agent built to help engineering teams automate UI and functional tests without brittle selectors or heavy test script maintenance. It enables users to generate tests using natural language prompts, run them across web, desktop, or hybrid applications, and integrate them into CI/CD pipelines so tests validate Pull Requests, catch regressions, and ensure continuous app quality. By using vision-based “selectorless” testing and AI-driven adaptation, TestDriver.ai aims to reduce the time engineers spend writing, updating, and debugging tests, while improving coverage, test reliability, and feedback speed.


TestDriver.ai is an AI-powered quality assurance and end-to-end testing agent built to help engineering teams automate UI and functional tests without brittle selectors or heavy test script maintenance. It enables users to generate tests using natural language prompts, run them across web, desktop, or hybrid applications, and integrate them into CI/CD pipelines so tests validate Pull Requests, catch regressions, and ensure continuous app quality. By using vision-based “selectorless” testing and AI-driven adaptation, TestDriver.ai aims to reduce the time engineers spend writing, updating, and debugging tests, while improving coverage, test reliability, and feedback speed.

BrowserAct is an AI-powered automation and productivity platform that helps users perform web-based tasks efficiently. It enables marketers, developers, researchers, and professionals to automate repetitive online activities such as web scraping, data extraction, testing, and monitoring. BrowserAct combines AI-driven workflows with a user-friendly interface, allowing users to save time, reduce errors, and enhance productivity without extensive coding knowledge.

BrowserAct is an AI-powered automation and productivity platform that helps users perform web-based tasks efficiently. It enables marketers, developers, researchers, and professionals to automate repetitive online activities such as web scraping, data extraction, testing, and monitoring. BrowserAct combines AI-driven workflows with a user-friendly interface, allowing users to save time, reduce errors, and enhance productivity without extensive coding knowledge.

BrowserAct is an AI-powered automation and productivity platform that helps users perform web-based tasks efficiently. It enables marketers, developers, researchers, and professionals to automate repetitive online activities such as web scraping, data extraction, testing, and monitoring. BrowserAct combines AI-driven workflows with a user-friendly interface, allowing users to save time, reduce errors, and enhance productivity without extensive coding knowledge.

Blitzy is an AI-powered autonomous software development platform designed to accelerate enterprise-grade software creation. It automates over 80% of the development process, enabling teams to transform six-month projects into six-day turnarounds. Blitzy utilizes a multi-agent System 2 AI architecture to reason deeply across entire codebases, providing high-quality, production-ready code validated at both compile and runtime.

Blitzy is an AI-powered autonomous software development platform designed to accelerate enterprise-grade software creation. It automates over 80% of the development process, enabling teams to transform six-month projects into six-day turnarounds. Blitzy utilizes a multi-agent System 2 AI architecture to reason deeply across entire codebases, providing high-quality, production-ready code validated at both compile and runtime.

Blitzy is an AI-powered autonomous software development platform designed to accelerate enterprise-grade software creation. It automates over 80% of the development process, enabling teams to transform six-month projects into six-day turnarounds. Blitzy utilizes a multi-agent System 2 AI architecture to reason deeply across entire codebases, providing high-quality, production-ready code validated at both compile and runtime.


LinkedAPI.io is a powerful platform providing access to LinkedIn's API, enabling businesses and developers to automate various LinkedIn tasks, extract valuable data, and integrate LinkedIn functionality into their applications. It simplifies the process of interacting with LinkedIn's data, removing the complexities of direct API integration.


LinkedAPI.io is a powerful platform providing access to LinkedIn's API, enabling businesses and developers to automate various LinkedIn tasks, extract valuable data, and integrate LinkedIn functionality into their applications. It simplifies the process of interacting with LinkedIn's data, removing the complexities of direct API integration.


LinkedAPI.io is a powerful platform providing access to LinkedIn's API, enabling businesses and developers to automate various LinkedIn tasks, extract valuable data, and integrate LinkedIn functionality into their applications. It simplifies the process of interacting with LinkedIn's data, removing the complexities of direct API integration.


APIDNA is an AI-powered platform that transforms API integrations by using autonomous AI agents to automate complex tasks such as endpoint integration, client mapping, data handling, and response management. The platform allows developers to connect software systems seamlessly without writing manual code. It streamlines integration processes by analyzing APIs, mapping client requests, transforming data, and generating ready-to-use code automatically. With real-time monitoring, end-to-end testing, and robust security, APIDNA ensures integrations are efficient, reliable, and scalable. It caters to software developers, system integrators, IT managers, and automation engineers across multiple industries, including fintech, healthcare, and e-commerce. By reducing the manual effort involved in connecting APIs, APIDNA frees teams to focus on building innovative features and improving business operations.


APIDNA is an AI-powered platform that transforms API integrations by using autonomous AI agents to automate complex tasks such as endpoint integration, client mapping, data handling, and response management. The platform allows developers to connect software systems seamlessly without writing manual code. It streamlines integration processes by analyzing APIs, mapping client requests, transforming data, and generating ready-to-use code automatically. With real-time monitoring, end-to-end testing, and robust security, APIDNA ensures integrations are efficient, reliable, and scalable. It caters to software developers, system integrators, IT managers, and automation engineers across multiple industries, including fintech, healthcare, and e-commerce. By reducing the manual effort involved in connecting APIs, APIDNA frees teams to focus on building innovative features and improving business operations.


APIDNA is an AI-powered platform that transforms API integrations by using autonomous AI agents to automate complex tasks such as endpoint integration, client mapping, data handling, and response management. The platform allows developers to connect software systems seamlessly without writing manual code. It streamlines integration processes by analyzing APIs, mapping client requests, transforming data, and generating ready-to-use code automatically. With real-time monitoring, end-to-end testing, and robust security, APIDNA ensures integrations are efficient, reliable, and scalable. It caters to software developers, system integrators, IT managers, and automation engineers across multiple industries, including fintech, healthcare, and e-commerce. By reducing the manual effort involved in connecting APIs, APIDNA frees teams to focus on building innovative features and improving business operations.


TestGrid CoTester is an AI-driven software testing assistant embedded within the TestGrid platform, built to automate test generation, execution, bug detection, and workflow management. Pretrained on core software testing principles and frameworks, CoTester integrates with your stack to draft manual and automated test cases, run them across real browsers and devices, detect performance and functional issues, and even assign bugs and tasks to team members. Over time, it learns from your inputs to better align with your project’s architecture, tech stack, and team conventions.


TestGrid CoTester is an AI-driven software testing assistant embedded within the TestGrid platform, built to automate test generation, execution, bug detection, and workflow management. Pretrained on core software testing principles and frameworks, CoTester integrates with your stack to draft manual and automated test cases, run them across real browsers and devices, detect performance and functional issues, and even assign bugs and tasks to team members. Over time, it learns from your inputs to better align with your project’s architecture, tech stack, and team conventions.


TestGrid CoTester is an AI-driven software testing assistant embedded within the TestGrid platform, built to automate test generation, execution, bug detection, and workflow management. Pretrained on core software testing principles and frameworks, CoTester integrates with your stack to draft manual and automated test cases, run them across real browsers and devices, detect performance and functional issues, and even assign bugs and tasks to team members. Over time, it learns from your inputs to better align with your project’s architecture, tech stack, and team conventions.


Besimple AI specializes in building expert datasets to unblock AI production. From ground truth evaluation data to comprehensive safety data, the platform enables teams to confidently ship AI products. By providing high-quality, expert-curated datasets, Besimple ensures that AI models are trained, tested, and deployed with accuracy, reliability, and safety in mind. It is designed for AI developers, researchers, and enterprises who want to streamline data annotation, evaluation, and safety processes, accelerating AI production while maintaining high standards of quality.


Besimple AI specializes in building expert datasets to unblock AI production. From ground truth evaluation data to comprehensive safety data, the platform enables teams to confidently ship AI products. By providing high-quality, expert-curated datasets, Besimple ensures that AI models are trained, tested, and deployed with accuracy, reliability, and safety in mind. It is designed for AI developers, researchers, and enterprises who want to streamline data annotation, evaluation, and safety processes, accelerating AI production while maintaining high standards of quality.


Besimple AI specializes in building expert datasets to unblock AI production. From ground truth evaluation data to comprehensive safety data, the platform enables teams to confidently ship AI products. By providing high-quality, expert-curated datasets, Besimple ensures that AI models are trained, tested, and deployed with accuracy, reliability, and safety in mind. It is designed for AI developers, researchers, and enterprises who want to streamline data annotation, evaluation, and safety processes, accelerating AI production while maintaining high standards of quality.

GoVisible (through its framework VISIBLE™) is a strategic platform aimed at helping brands be discovered, cited, and recommended by AI tools such as ChatGPT, Gemini, and Bing Copilot. The core offering is Generative Engine Optimization (GEO), a method designed to make brands more visible and “answer-worthy” in AI-driven search environments. The platform offers a structured 7-pillar framework that addresses how AI models parse, interpret, and surface brand information, with tools and audits that test how your brand is seen across AI engines.

GoVisible (through its framework VISIBLE™) is a strategic platform aimed at helping brands be discovered, cited, and recommended by AI tools such as ChatGPT, Gemini, and Bing Copilot. The core offering is Generative Engine Optimization (GEO), a method designed to make brands more visible and “answer-worthy” in AI-driven search environments. The platform offers a structured 7-pillar framework that addresses how AI models parse, interpret, and surface brand information, with tools and audits that test how your brand is seen across AI engines.

GoVisible (through its framework VISIBLE™) is a strategic platform aimed at helping brands be discovered, cited, and recommended by AI tools such as ChatGPT, Gemini, and Bing Copilot. The core offering is Generative Engine Optimization (GEO), a method designed to make brands more visible and “answer-worthy” in AI-driven search environments. The platform offers a structured 7-pillar framework that addresses how AI models parse, interpret, and surface brand information, with tools and audits that test how your brand is seen across AI engines.

DeveloperToolkit.ai is an advanced AI-assisted development platform designed to help developers build production-grade, scalable, and maintainable software. It leverages powerful models like Claude Code and Cursor to generate production-ready code that’s secure, tested, and optimized for real-world deployment. Unlike tools that stop at quick prototypes, DeveloperToolkit.ai focuses on long-term code quality, maintainability, and best practices. Whether writing API endpoints, components, or full-fledged systems, it accelerates the entire development process while ensuring cleaner architectures and stable results fit for teams that ship with confidence.

DeveloperToolkit.ai is an advanced AI-assisted development platform designed to help developers build production-grade, scalable, and maintainable software. It leverages powerful models like Claude Code and Cursor to generate production-ready code that’s secure, tested, and optimized for real-world deployment. Unlike tools that stop at quick prototypes, DeveloperToolkit.ai focuses on long-term code quality, maintainability, and best practices. Whether writing API endpoints, components, or full-fledged systems, it accelerates the entire development process while ensuring cleaner architectures and stable results fit for teams that ship with confidence.

DeveloperToolkit.ai is an advanced AI-assisted development platform designed to help developers build production-grade, scalable, and maintainable software. It leverages powerful models like Claude Code and Cursor to generate production-ready code that’s secure, tested, and optimized for real-world deployment. Unlike tools that stop at quick prototypes, DeveloperToolkit.ai focuses on long-term code quality, maintainability, and best practices. Whether writing API endpoints, components, or full-fledged systems, it accelerates the entire development process while ensuring cleaner architectures and stable results fit for teams that ship with confidence.
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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