GPT Realtime 2 Introduction

GPT Realtime 2 is a browser‑based workspace that lets teams prototype and evaluate speech‑to‑speech agents with low‑latency audio. Users define persona, boundaries, and escalation rules in a single prompt, then run live voice sessions to test greetings, pacing, interruptions, and pronunciation. The platform supports multimodal context—including text notes, visual references, and scorecards—so each test can be reviewed with transcripts and downloadable recordings. Built‑in tooling enables planning of function calls, app actions, and human handoffs, while export features capture session logs for launch documentation. Ideal for developers, support engineers, educators, and product managers, GPT Realtime 2 accelerates the iteration cycle for voice‑first applications such as support bots, tutoring assistants, sales demos, and internal training simulations.

GPT Realtime 2 operates as a browser‑based workspace that converts spoken input into contextual spoken replies in real time. Users enter a prompt that defines persona, boundaries and tool‑call rules, then the platform streams audio through a low‑latency speech‑to‑speech model, preserving pauses, interruptions and pacing for accurate evaluation. During the session the system can invoke functions, collect fields or defer to a human, while simultaneously logging transcripts, notes and scorecards. After the exchange, recordings and session data are downloadable, enabling teams to compare prompt versions, refine tool handoffs and prepare launch‑ready voice AI flows.

GPT Realtime 2 provides a browser‑based workspace for designing, testing, and reviewing real‑time speech‑to‑speech agents. Its low‑latency audio engine lets teams evaluate greetings, pacing, interruptions, and pronunciation while preserving contextual information such as visual references and scorecards. Prompt control consolidates persona, boundaries, and escalation rules, and the tool‑ready flow supports function calls, confirmations, and human handoffs within a single session. Transcripts, notes, and downloadable recordings enable systematic comparison of prompt variants and generate launch‑ready documentation. The platform is suited for support bots, tutoring apps, sales assistants, and internal training simulations before committing to production code.

Pros

• Low‑latency speech‑to‑speech testing.
• Browser‑based workspace, no local setup.
• Integrated prompt control and tool handoffs.
• Exportable transcripts and session recordings.
• Supports multimodal context (text, visuals, notes).

Cons

• Requires credits; cost may rise with longer sessions.
• No native mobile app, limited to browsers.
• Advanced analytics not included out‑of‑the‑box.
• Dependency on internet connectivity for real‑time audio.
• Limited customer support information on site.