What is ChatGPT?
Tools, assistants and prompting
ChatGPT is OpenAI's conversational AI assistant. People use it on the web and in apps to ask questions, draft and revise content, analyse files and images, search the web, and work through tasks in natural language. It follows user instructions in a conversation, but outputs can still be wrong, incomplete or out of date.
Reviewed by Jackie, Head of Learning & Development, Levellers · Last reviewed 8 June 2026
What this means
ChatGPT is a product from OpenAI that presents AI through a conversation interface. OpenAI's own documentation describes it as an AI assistant for everyday tasks such as brainstorming, writing, planning, coding, analysing images and files, and asking follow-up questions in the same chat.
For a business reader, the simplest way to think about ChatGPT is as a general-purpose assistant interface. You give it a task in plain language, optionally add files or other context, and it returns a response that you can review, refine or reject. Depending on the feature set available, it can also search the web, analyse uploaded material, work with voice and support more extended task flows.
Why it matters
ChatGPT matters because it gives non-technical users a low-friction way to test practical AI support against real work: drafting, summarising, explanation, file analysis, light research and structured first passes. That makes it a common entry point for teams exploring where AI can help before they invest in a more tailored setup.
What matters commercially is not whether ChatGPT can produce a fluent answer. It is whether the task is appropriate, the context is good enough, and the data handling fits the environment. NIST and the ICO both point back to governance, risk, accuracy and data protection rather than treating fluent output as proof of trustworthiness.
How it works
OpenAI explains that the models behind ChatGPT learn patterns from large amounts of information and generate responses by predicting the most likely next word, one step at a time. In the product itself, that base model is wrapped in a chat interface that keeps conversation context and can add capabilities such as file analysis, web search and voice.
In practice, that means your result depends on the prompt, the context in the chat, any files or images you provide, and whether the relevant features are enabled in your plan or workspace. It also means variation is normal: the same request can return different answers, and confident wording is not the same as verified fact.
Examples
Drafting and rewriting: prepare a first pass of an email, briefing note, FAQ answer or summary for human review.
File analysis: upload a spreadsheet or document and ask ChatGPT to summarise, inspect or chart the contents where the feature is available.
Current-information support: use web search when the task depends on fresh information and linked sources.
Image and multimodal support: upload an image and ask questions about what it contains or how it should be described.
Common misunderstandings
ChatGPT is the same thing as GPT. Not exactly. ChatGPT is the user-facing product or service; the underlying GPT models are part of what powers it.
ChatGPT always knows the latest facts. No. Current information depends on whether web search is available and used. Otherwise, it is still a model response, not a live database lookup.
ChatGPT is private by default in every context. No. Data handling differs between consumer and business offerings, and settings matter.
If the answer is fluent, it is reliable. No. NIST identifies inaccurate and misleading outputs as a core generative AI risk.
Risks and boundaries
The main boundary is answer quality. OpenAI explains that ChatGPT responds by learning patterns and generating new outputs, not by functioning as a guaranteed fact system. NIST separately warns that generative AI can produce factually inaccurate or internally inconsistent content, and that users may over-trust these responses because they sound confident.
The second boundary is data handling. OpenAI states that signed-in users can control whether consumer conversations are used to improve models, and that business data is not used for training by default. OpenAI also provides Temporary Chat for more private one-off conversations, although that is still not a substitute for formal data-governance decisions.
The third boundary is workflow fit. ChatGPT can be useful for drafts, explanations and analysis support, but tasks with legal, contractual, financial or people-impacting consequences still need a defined checking process. The ICO's guidance on AI and data protection reinforces that accountability, transparency, accuracy and security remain the organisation's responsibility.
What to do next
Test ChatGPT on one low-risk workflow that already exists, such as summarising documents, drafting first replies or turning rough notes into a standard format. Write a short prompt template, define what a good output looks like, and review a small sample for accuracy and usefulness. If sensitive business data is involved, use the most appropriate business setup and retention controls rather than relying on consumer defaults.
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FAQs
Is ChatGPT the same as generative AI?
No. ChatGPT is one product or service. Generative AI is the broader category of systems that generate text, images, audio or other outputs.
Can ChatGPT search the web?
Yes, OpenAI documents web search in ChatGPT for timely answers with linked sources where the feature is available.
Does ChatGPT use my chats for training?
For consumer use, OpenAI provides data controls so users can choose whether conversations help improve models. For business offerings, OpenAI states that business data is not used for training by default.
Can ChatGPT analyse files and images?
Yes. OpenAI documents file and image handling for supported experiences, including analysis, summarisation and chart creation.