ChatGPT

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Conversational AI platform that combines large language models, multimodal inputs/outputs, app integrations and developer APIs to act as a general-purpose assistant.

See https://openai.com/chatgpt

Features

  • Multimodal inputs and outputs: text, images, voice, and file uploads (PDFs, slides, code files).
  • Advanced models and reasoning: model family includes GPT-4o and subsequent reasoning-focused models (o3, o4-mini, etc.) that can call tools and chain reasoning steps.
  • Apps ecosystem: in-chat apps and an Apps SDK (preview) that let developers embed interactive experiences inside conversations.
  • Custom GPTs: end-user creatable GPTs with configurable behavior, tool access (Custom Actions), and selectable models.
  • Memory and personalization: optional memory to remember user preferences and project context across sessions.
  • Projects & Canvas: organizational workspaces for multi-session tasks, file collaboration, and visual co-editing.
  • Web & research tools: integrated web search and deep research modes to retrieve and synthesize current information with citations.
  • Agentic capabilities & developer tools: AgentKit and MCP-based integrations allow building agents that use tools, APIs, and external data.
  • Code execution & data analysis: secure runtime to run Python-like code for data analysis, visualization, and file-processing tasks.
  • Image generation & video (Sora): image generation models and video-generation capabilities exposed via API (Sora integrations announced).
  • Scheduling & automation: scheduled tasks and proactive reminders for Plus/Pro/Business tiers in some releases.

Superpowers

ChatGPT is useful for people and teams who need a conversational assistant that can:

  • Turn vague goals into concrete deliverables (e.g., research reports, slide decks, email campaigns).
  • Blend conversational guidance with direct tool use (running code, searching the web, editing files) without switching contexts.
  • Rapidly prototype assistant-driven workflows using Custom GPTs and the Apps SDK.
  • Provide multimodal help (explain a screenshot, summarize a PDF, walk through data visualizations).

Who benefits most:

  • Product teams and PMs who want instant prototypes and research summaries.
  • Knowledge workers who need long-form synthesis and follow-up automation.
  • Developers building conversational experiences or embedding AI-driven features in apps.

Practical usage examples

  • Research brief: upload a set of papers (PDFs) and ask ChatGPT to synthesize key findings, produce an executive summary, and output a slide outline.
  • Data task: upload a CSV, ask ChatGPT to run analyses (trend detection, simple ML model guidance), and return charts + annotated code snippets.
  • Custom assistant: build a Custom GPT for customer support that includes a knowledge base, a set of canned actions (ticket creation), and a recommended model.

Pricing

  • Free tier: basic access to ChatGPT with some model and feature limitations.
  • Plus / Pro / Business tiers: paid subscriptions that unlock better models, higher usage limits, faster response times, and access to Custom GPTs/Projects/Apps features.
  • API / enterprise pricing: separate metered API billing for developers and enterprise plans with SLAs, advanced controls, and privacy options.

Privacy & safety notes

  • Apps and integrations must disclose what user data they access; user consent is required when connecting third-party apps.
  • Memory is optional and user-controllable; users can view/edit/delete saved memories.
  • Enterprise offerings include additional administrative controls, data retention and privacy assurances.
  • Developers must follow OpenAI usage policies when building apps or Custom GPTs.

Notable timeline & changes (2024–2025)

  • Continued rollout of multimodal features, voice and image understanding across platforms.
  • Introduction of Apps SDK and expanded App ecosystem (2025), enabling richer in-chat experiences.
  • New reasoning-focused models (o3, o4-mini) and ongoing improvements to GPT-4o family.
  • Expanded developer tooling (AgentKit, Codex updates) and API model options for cost/latency tradeoffs.

Sources & further reading