What is ChatGPT?
ChatGPT is OpenAI’s flagship conversational AI assistant — a large-language-model interface that turns natural-language prompts into text, code, summaries, plans, translations, analyses and creative work. It launched in November 2022 and reached 100 million weekly users faster than any consumer product in history. Today it sits somewhere between an autocomplete engine and a generalist research analyst, depending entirely on how you talk to it.
Under the hood it’s powered by a family of transformer models — GPT-4o, GPT-4 Turbo, and o-series reasoning models — accessible through a clean chat interface, a desktop app, mobile apps, voice mode, and an API. The product wraps these models with memory, custom instructions, file uploads, web browsing, image generation (DALL·E), and a tool-calling system that lets the model run code, analyse data, and call third-party services. It is, in practice, the closest thing the industry has shipped to a universal interface for knowledge work.
Editor’s note
Editor’s note
ChatGPT is the benchmark every other conversational AI gets measured against — both the feature set and the user expectations it set. Even tools that beat it in narrow domains still describe themselves as “ChatGPT for X”.
Key Features
The product covers an unusual amount of ground for a single chat window. Among the features that matter most for daily work:
- Multi-modal input. Drop in PDFs, spreadsheets, images, audio, or paste raw text — the model reads, analyses and responds in the same thread.
- Code Interpreter (Advanced Data Analysis). A sandboxed Python environment that lets the model run code, manipulate data and generate charts on the fly.
- Custom GPTs. Build a specialist version of ChatGPT for a workflow — feed it instructions, files and tool access, then call it like an app.
- Memory. Persistent context across sessions; the model remembers your projects, preferences, and writing voice between chats.
- Voice mode. Conversational voice with sub-second latency, available on mobile and desktop.
- Image generation. Native DALL·E integration for inline image creation and editing without leaving the chat.
- API access. Production-grade endpoints for streaming, function-calling, structured outputs and embeddings.
Why people use it
The honest answer is breadth. Most AI tools optimise for one job — copywriting, image generation, code completion, meeting notes — and do it slightly better than ChatGPT in that single lane. ChatGPT wins because it handles twenty jobs adequately in one place, and the cost of context-switching between specialist tools usually exceeds the quality gap.
Sarah K.
“It’s not the best tool for any single thing I do. It’s the only tool I never close. That’s a different kind of best.”
