Industry News

ChatGPT Projects are dedicated spaces that let you organize chats, files, instructions, and background information for ongoing work in one place, so you don't have to repeat context or search through old conversations. Projects are most useful for work that continues over time, like research, writing with multiple drafts, or shared collaboration, while quick single tasks may not need a project. On some plans, you can invite other people to collaborate and use project-only memory to keep one area of work separate from others.

Large language models (LLMs, AI systems trained on vast amounts of text to predict and generate human-like language) like ChatGPT can help with tasks like drafting and summarizing, but they may produce incorrect information or outdated answers since they rely on patterns in their training data rather than real-time information. To use these tools safely, you should verify important facts with trusted sources, check for bias in outputs, seek advice from qualified professionals for legal or medical decisions, and be transparent about your AI use in work or school settings.

OpenAI has released features that let you customize how ChatGPT behaves by using custom instructions (settings that tell ChatGPT about your role and preferred communication style) and memory (which stores information you want ChatGPT to remember across conversations). These personalization tools help ChatGPT work more like a reliable teammate by building context over time, so you don't have to repeat the same information every time you chat.

This article describes how ChatGPT can help with brainstorming by quickly generating ideas, organizing them into clear themes, and turning rough directions into executable plans. The AI acts as a thought partner to overcome common brainstorming obstacles (too few or too many unstructured ideas) by expanding options, adding structure through frameworks, and helping test plans for weaknesses.

Custom GPTs are tailored versions of ChatGPT built for specific, repeatable tasks, where you define how the GPT behaves through instructions and can add knowledge (uploaded documents) and tools like web search or data analysis. They work best when you find yourself reusing the same prompts or instructions across multiple tasks, reducing repetition and keeping context consistent. You create a custom GPT by opening the GPT builder in ChatGPT, naming it, writing clear instructions for how it should behave, and optionally uploading files or enabling features like image generation or code analysis.

ChatGPT can analyze data files (like CSV or Excel spreadsheets) by letting you upload them and ask questions in plain language, helping you explore raw data and find insights without building formulas or dashboards manually. The tool is most useful early in analysis, when you're discovering patterns and anomalies, and it can generate visualizations and summaries to share with others. To get reliable results, you should frame your decision clearly, provide context about your data, ask for structured approaches rather than just answers, and verify key numbers before acting on the findings.

This document describes how marketing teams can use ChatGPT, an AI language model, to speed up their work across campaigns, content creation, and performance analysis. ChatGPT helps teams move from initial ideas through drafting and launch by organizing scattered inputs into clear messaging, generating content variations, and summarizing performance data. The tool is most effective when treated as a thinking partner for iterative refinement rather than a one-time solution, with human judgment applied for final decisions.

This is a guide from OpenAI about using ChatGPT to help operations teams organize and streamline their work. ChatGPT acts like an automated assistant that takes messy information from many sources (notes, messages, trackers) and turns it into clear summaries, decision lists, and standardized documents, so teams spend less time gathering information and more time executing tasks.

This is a guide from OpenAI on using ChatGPT as a research tool to help answer questions and make decisions faster. ChatGPT can gather information from multiple sources, organize findings with citations, and produce structured reports like briefs or comparison tables. The tool offers two approaches: a quick 'Search' mode for fast answers, and a 'Deep research' mode for complex questions that need multiple investigation steps.

This content is a reference guide showing how ChatGPT can assist managers across ten different job areas, from strategy planning to crisis management. For each area (like hiring, performance reviews, or decision-making), it lists example scenarios and the types of documents or frameworks ChatGPT can help produce. This is a tool overview, not a discussion of AI risks or technical issues.

ChatGPT can generate original images from text descriptions, allowing users to quickly create and iterate on visual concepts. To get good results, write clear prompts (1-3 sentences) that specify the image's purpose, main subject, setting, and visual style, using direct language like 'soft natural light from the left' rather than vague phrases. The best way to improve images is through small, targeted revisions focusing on one element at a time, with clear spatial language and specific instructions for text or layout details.

This document is not about an AI/LLM security issue, vulnerability, or technical problem. Instead, it is a list of business process skills (reusable AI-assisted workflows) organized by department, such as marketing campaign builders, sales call summarizers, and financial report drafters. Each skill is designed to automate routine business tasks by converting input data into standardized outputs.

ChatGPT offers two web search features for research: search retrieves current facts and recent information quickly, while deep research (agentic research, meaning the AI actively plans and executes multi-step exploration) conducts thorough analysis of complex questions by searching, evaluating sources, and synthesizing findings across multiple web sources. Both features provide citations to original sources and help users explore topics more efficiently than traditional browsing.

OpenAI offers AI capabilities through two main channels: direct consumer products like ChatGPT (a conversational tool for writing, learning, and problem-solving) and Codex (a code-focused assistant), plus APIs (interfaces that let developers integrate AI into their own applications). OpenAI's goal is to make these powerful AI tools useful, safe, and accessible to individuals, teams, and organizations.

OpenAI has launched a new $100 per month ChatGPT Pro subscription tier that provides 5x more access to Codex (a tool that helps write code) compared to the $20 Plus plan, designed for intensive coding work. This new tier directly competes with Anthropic's Claude Max subscription at the same price point as OpenAI tries to attract users from rival AI services.

OpenAI announced a new $100 per month Pro subscription tier for ChatGPT that offers five times more usage of Codex (an AI-powered coding assistant that automates tasks and bug fixes for developers) compared to its $20 per month Plus plan. This move is designed to compete with Anthropic's Claude Code, which offers similar high-usage tiers at comparable price points, as coding assistants have become increasingly popular tools for software development.

Google has upgraded Gemini, its AI chatbot, to generate interactive 3D models and simulations in response to user questions. Users can rotate these models, adjust sliders to change parameters, and input different values to see real-time changes in the simulation.