 OpenAI just flipped the switch from “assistant” to 

. Developers can build fully interactive apps 

 running inline in ChatGPT—map, filters, tours—without leaving the conversation.

1) Apps inside ChatGPT (Apps SDK, preview)

ChatGPT is now a place where apps live and run. With the 

 Coursera (video + “talk to the app”), Canva (generate posters → pitch deck), Figma (turn sketch → diagram), 

 (interactive map, filters, request a tour).

—apps meet users at intent time, inside the conversation.

2) AgentKit: from idea to production agents

OpenAI bundled the hard parts of agents into one toolkit:

 Fewer glue layers, faster iteration, built-in measurement = higher odds your agent reaches production.

OpenAI’s coding agent is now generally available with team features:

Inside OpenAI, Codex reportedly reviews most PRs and shortens cycles; the pitch is 

 Voice becomes a default interface; video becomes product-ready output, not just marketing flair.

Distribution plus scale = a strong reason to build 

The Zillow moment: chat → browse → act

 map embedded in ChatGPT, filtered to “3-bed with a yard,” and asked, “How close is this to a dog park?” ChatGPT combined in-app context with search and kept everything 

, including the “request a tour” action.

 It’s a clean blueprint for conversational funnels: 

intent → result → refine → transact

What to build next (actionable checklist)

 where users can find, run, and pay for software in the flow of conversation. With AgentKit, Codex GA, and new models, the stack to 

 is more complete—and the path from idea to product is shorter than ever. CHeck agnostic 

OpenAI turned ChatGPT into an app platform, launched AgentKit for production agents, shipped Codex GA, and added GPT-5 Pro, Sora 2, and a cheaper realtime voice model.

OpenAI DevDay 2025: ChatGPT Becomes an App Platform

Technology has always shaped the way we present ourselves, but in recent years, artificial intelligence has begun to redefine fashion in ways we once thought impossible. Clothing is more than just fabric—it’s a statement of personality, creativity, and lifestyle. Yet, trying new outfits often comes with time, cost, and inconvenience. This is where the

 steps in, offering a digital solution that lets you experiment with endless wardrobe options virtually.

Instead of standing in long store fitting-room lines or hesitating before an online order, users can now rely on AI to show them how clothes would actually look before making a choice. It’s fast, fun, and surprisingly accurate—bringing together the creativity of fashion and the intelligence of technology.

Why the AI Clothes Changer Is a Game-Changer

Many fashion apps exist, but what sets this tool apart is its ability to make the clothing change look natural. Traditional editing tools often result in stiff images, poorly aligned outfits, or obvious filters that look fake. The AI clothes changer, however, uses advanced machine learning to understand body proportions, lighting, and fabric flow, which ensures the final image looks realistic.

 who want to explore new looks without buying everything.

 who need versatile outfits for photos and videos.

 who want confidence before committing to an online purchase.

By blending creativity with practicality, it saves time, reduces clothing returns, and boosts confidence in personal style.

The process is refreshingly simple, even for those with little technical knowledge. First, you upload a clear picture of yourself. Then, the AI analyzes your image, taking into account body shape, posture, and lighting. From there, you can try on different clothes—whether casual wear, formal attire, or even costumes for fun.

What’s remarkable is the speed. In just a few seconds, you see yourself in a brand-new outfit, adjusted seamlessly to look as though you were wearing it in real life. There’s no need for manual resizing or awkward cropping—the AI handles every detail with precision.

Imagine preparing for a big event and wanting to test ten different outfits. Instead of trying them all physically, you can preview them digitally and choose the one that truly fits your style and mood.

The tool is versatile and useful for a wide range of people:

E-commerce often comes with uncertainty. A shirt might look perfect on the model, but completely different on you. The AI clothes changer reduces this risk by helping you visualize before purchasing, ultimately saving time and money.

Content creators are constantly under pressure to produce fresh and engaging visuals. With this tool, one photoshoot can result in multiple unique looks, expanding creative possibilities without the need for an endless wardrobe.

Whether it’s a job interview, a wedding, or a special celebration, appearances matter. Instead of rushing to stores or second-guessing choices, individuals can digitally try different outfits to make the perfect impression.

Even outside special occasions, the tool is fun to use. Trying seasonal outfits, experimenting with trends, or just playing around with style ideas becomes an enjoyable experience, without cost or hassle.

At its core, the AI clothes changer relies on deep learning models that analyze thousands of images to understand how clothes naturally fit different body types. It studies textures, fabric folds, and shadows to make digital outfits look realistic. This technology continues to improve as more users engage, meaning the results become even sharper and more accurate over time.

The tool doesn’t just paste clothing on top of a body—it integrates it. Sleeves align with arms, dresses fall naturally, and jackets sit on shoulders the way they would in reality. That level of detail is what makes it so convincing.

This innovation is not just about convenience; it’s a glimpse into the future of fashion. Imagine virtual stores where customers never try on clothes physically but rely on digital tools to make selections. This has huge implications for sustainability too—fewer returns, less wasted shipping, and smarter shopping habits.

The AI clothes changer also paves the way for more personalized fashion. As AI learns individual preferences, it could eventually recommend styles, colors, and combinations tailored specifically to each user’s taste. It’s more than just trying on clothes—it’s about intelligently redefining personal style.

The AI clothes changer is more than a novelty app—it’s a practical solution for anyone interested in fashion, style, or convenience. By merging artificial intelligence with the universal need for self-expression, it opens doors to creativity while solving real-world problems like wasted purchases and styling challenges.

Whether you’re a blogger seeking fresh looks, a shopper wanting confidence before checkout, or someone curious about new styles, this tool delivers a smooth and enjoyable experience. In a world where technology continues to influence how we live and present ourselves, this innovation proves that fashion and AI are a perfect match.

With its blend of accuracy, accessibility, and creativity, the AI clothes changer is set to become a must-have tool for anyone who values both style and smart technology.

Discover how AI clothes changers let you try outfits virtually with realistic results, saving time, reducing returns, and redefining personal style.

Revolutionizing Fashion: An In-Depth Review of the AI Clothes Changer Tool

, the AI world reacted as if the next industrial revolution had arrived.

Headlines declared that “AI agents can finally act,” and early demos suggested that anyone could now build a personalized digital workforce without writing code.

But after the initial wave of excitement, the truth is becoming clear: 

Agent Builder is not the breakthrough many expected.

It’s a meaningful step forward, yes — but it’s not a revolution. Instead, it marks a shift toward something quieter, more foundational, and far more strategic.

The idea behind OpenAI’s Agent Builder is simple and seductive:

a visual, drag-and-drop interface that lets users build AI agents capable of performing actions, handling logic, and integrating with tools.

It sounds like the missing piece — the bridge between text-based conversations and real-world execution.

 accessible to everyone: creators, entrepreneurs, and teams who want to automate workflows without coding.

However, what many users are discovering is that 

Agent Builder automates structure, not intelligence

. It doesn’t create autonomous agents — it creates well-organized prompt sequences.

Why Agent Builder Isn’t a Cognitive Leap

At its core, the current version of Agent Builder focuses on workflow management, not reasoning or learning.

These agents can follow instructions and trigger tools, but they don’t 

They don’t have long-term memory, intrinsic goals, or a sense of context that extends beyond the current session.

In practical terms, that means they can execute a plan — but they can’t 

This distinction matters because it separates 

Agent Builder falls firmly in the first category: a productivity layer that simplifies repetitive tasks rather than a thinking system capable of autonomous decision-making.

OpenAI’s Strategic Play: Centralization, Not Autonomy

While much of the public discussion focuses on features, the real strategy behind Agent Builder is ecosystem control.

 together, OpenAI has effectively centralized the agent creation process within ChatGPT — from discovery to deployment to monetization.

For builders and startups, that means the path to creating an agent now runs through OpenAI’s platform, APIs, and payment systems.

This move mirrors the early days of mobile apps, when Apple turned the App Store into both an innovation hub and a gatekeeper.

Agent Builder does something similar for AI: it gives everyone a toolkit, but keeps the ecosystem tightly bound to OpenAI’s infrastructure.

 remain essential — they give developers and users a neutral ground to discover, compare, and test agents built across ecosystems.

If you want to see how the broader agent world looks beyond OpenAI’s walls, check out our 

 — an interactive view of hundreds of agentic startups, frameworks, and tools shaping the next wave of AI innovation.

What Agent Builder Reveals About the State of AI Agents

Agent Builder isn’t a failure — it’s a mirror.

It reflects where AI agents truly are in 2025: incredibly promising, but still early.

The hype surrounding “fully autonomous agents” overshadows the reality: most agents today are sophisticated assistants, not self-governing entities.

And that’s fine. Every major technology wave starts this way — infrastructure first, breakthroughs later.

Agent Builder is a milestone, but not the finish line.

It gives us a glimpse of what an agentic future could look like once we solve the harder problems — persistent memory, reasoning across long contexts, and safe autonomy.

The real progress will come from the open agent ecosystem:

independent builders, frameworks, and platforms experimenting outside centralized boundaries.

That’s where ideas will collide, evolve, and eventually redefine what an AI agent truly is.

Until then, Agent Builder remains a powerful prototype — not a paradigm shift.

OpenAI didn’t deliver the revolution people imagined.

Instead, it delivered something more subtle and arguably more important — 

By making agent creation easier, OpenAI brought more people into the conversation about what agents can be.

But the real breakthroughs will come from the builders, researchers, and marketplaces expanding beyond the platform.

If you want to see where the future of agentic AI is actually forming, explore the evolving 

 — a living snapshot of the companies, frameworks, and ecosystems pushing the boundaries of what agents can do.

Because the revolution isn’t happening inside a single tool.

It’s happening across the network of agents learning to work together.

OpenAI’s Agent Builder promised an AI revolution, but what it really delivered was a powerful reminder of where agentic AI truly stands today.

OpenAI Agent Builder: The Reality Behind the Hype

The convergence of artificial intelligence and blockchain technology has given rise to a new era in the crypto space: AI agents. These specialized tools and platforms are transforming the way markets operate, offering decentralized, intelligent solutions for trading, development, and interaction. Here, we explore the top 10 AI agents dominating this emerging sector, providing insights into their market performance and unique contributions.

AI agents have captured the attention of the crypto world, accounting for a rapidly growing share of the overall market. The top 10 AI agents alone represent 77% of the total AI agents market cap, showcasing their dominance and liquidity with a collective market cap of $13.3 billion and $2.1 billion in 24-hour trading volume.

The AI agents sector is rapidly evolving, and its integration with blockchain technology is unlocking unprecedented possibilities. As these top players continue to lead the way, they not only shape the crypto world but also redefine the potential of decentralized AI. The real question is: which of these agents will continue to thrive beyond 2025?

Discover the top 10 AI agents revolutionizing the crypto market in 2025, with insights on market cap, trading volume, and future trends.

Top 10 AI Agents Shaping the Crypto World in 2025 | Insights & Trends

Top 10 AI Agents Shaping the Crypto World | January 2025

As the development world increasingly embraces AI-driven solutions, 

 (Integrated Development Environments enhanced with artificial intelligence) have emerged as indispensable tools for developers. These platforms offer smart code suggestions, automated debugging, and privacy-first features to streamline coding workflows. In this article, we explore four leading Agentic IDEs: 

. Let’s dive into their features, pros, cons, and best use cases to help you decide which tool fits your needs.

: Fast, intelligent, and private AI Code Editor.

Cursor AI is an AI-powered code editor that prioritizes speed and privacy. For example, it is particularly advantageous for developers working on fast-paced projects like hackathons or time-sensitive prototypes where quick iterations are crucial. Its privacy features make it an excellent choice for coding healthcare or fintech applications, where compliance with strict data security regulations is necessary. Known for its streamlined interface, Cursor caters to developers looking for intelligent assistance without compromising data security.

 Developers who value speed and privacy and work on projects requiring minimal external dependencies.

 Building a healthcare application where compliance with HIPAA regulations is critical.

: AI-powered IDE that keeps developers in the flow state.

Windsurf Editor stands out for its unique focus on maintaining developer productivity by leveraging cutting-edge AI capabilities. For instance, its "Focus Mode" reduces context switching by offering intelligent, real-time code suggestions and hiding non-essential notifications. Additionally, its seamless integration with version control and project management tools ensures developers can stay organized without leaving the IDE. These features make Windsurf Editor a go-to solution for developers working on intricate, detail-oriented projects that require deep concentration and minimal interruptions. With AI features tailored to reduce interruptions, this IDE is perfect for seamless workflows.

 Teams or individual developers who prioritize uninterrupted focus and collaboration.

 Managing a large software team where seamless collaboration and reduced context-switching are key.

: An open-source AI-powered code editor alternative to Cursor.

Void is an open-source Agentic IDE, offering developers a community-driven alternative. Its highly customizable nature makes it particularly effective for projects requiring specialized tools, such as game development using custom plugins or large-scale data analysis workflows that benefit from tailored extensions. Popular plugins like linting tools, auto-formatters, or debugging integrations can be easily adapted to fit unique project needs, showcasing Void's strength in enabling developer creativity and adaptability. Its flexibility and cost-effectiveness make it a compelling option.

 Developers looking for a free, open-source solution with extensive customization options.

 Game developers building custom engines with unique toolchains.

: AI-native, privacy-first, open-source IDE for enhanced code development.

Aide is an open-source AI-powered IDE that combines advanced features with a strong commitment to privacy. It’s particularly valuable in industries like healthcare, legal tech, or government services, where data sensitivity is critical. For instance, a healthcare app developer can benefit from Aide’s state-of-the-art encryption to ensure patient data remains secure, while a legal tech firm can rely on its robust debugging tools to streamline compliance-driven software development. Additionally, being open-source allows developers to customize it to fit specific needs, offering flexibility for specialized projects.

 Professionals handling sensitive codebases or large-scale enterprise projects where privacy and functionality are paramount.

 Developing legal tech software requiring strict compliance with data protection laws.

Each Agentic IDE reviewed here excels in specific areas, making them suitable for different types of developers and projects:

Choosing the right Agentic IDE depends on your unique needs, budget, and project requirements. By leveraging these tools, developers can unlock new levels of productivity and efficiency.

Explore the top Agentic IDEs for developers. Compare Cursor AI, Windsurf, Void, and Aide to find the best fit for your coding needs. Privacy, focus, and customization—find your ideal AI-powered IDE today.

Top Agentic IDEs Reviewed: Cursor AI, Windsurf, Void, and Aide

Top Agentic IDEs: Comprehensive Reviews of AI-Powered Development Tools

As we enter 2025, the AI-powered cryptocurrency space is buzzing with activity. Here, we analyze the top AI agent coins by market cap as of January 2025, exploring trends, insights, and key developments since December 2024. Check on Web3 AI Agents in the 

The AI agent token space is rapidly evolving, with significant growth opportunities in various sectors. Tokens like Virtuals Protocol and ai16z show strong adoption, while niche players like Freysa AI and Delysium cater to specific market needs. As the field matures, understanding the technology and ecosystems behind these tokens will be key to making informed investment decisions.

Discover the leading AI agent tokens by market cap in January 2025. Explore trends, new leaders, and valuable insights into AI-powered cryptocurrencies.

Top 10 AI Agent Tokens by Market Cap (January 2025): Analysis & Insights

Top AI Agent Coins by Market Cap in January 2025: Insights and Trends

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