Announcing Deepgram Saga: The Voice OS for Developers

• Saga is Deepgram’s new Voice OS for developers—a universal voice interface that lets you control your dev workflow with natural speech.
• Eliminate context switching, tab juggling, and manual navigation across tools.
• Speak vague ideas, structured tasks, or simple commands—and Saga turns them into code, prompts, commits, or tickets.
• Works with tools you already use (Cursor, MCP, Slack, etc.) so you stay in flow.

There’s a quiet tax on building software today. You feel it every time you alt-tab, hunt for the right window, or bounce between tools just to commit a line of code, run a test, or update your team. The modern developer stack is fragmented—8+ tools spread across monitors, with no universal interface tying it together.

And so, we do the translation ourselves.

• From thought → into clicks
• From rough idea → into overly specific prompt
• From context → into command

Saga ends that.

Deepgram Saga is a voice-native interface for your entire workflow. It sits on top of your tools—not beside them—and lets you speak what you want to do. Saga interprets your intent and executes across your tech stack, freeing you from the tyranny of keyboard-bound workflows.

It’s not another assistant. It’s your new operating system.

Here’s what Saga already handles in the wild:

Say this: “Build a Voice AI app” Saga does: Writes a one-shot Cursor prompt to scaffold the code

No more “vibe coding” into a wall of retries. Saga sharpens your fuzzy ideas into crystal-clear agent instructions.

So if you’re an early-stage builder or an AI-native developer, Deepgram Saga can undoubtedly boost your productivity by transforming your voice into another UI.

Say this: “Send an email to Timmy, run tests, commit changes, deploy, and update the team” Saga does: Executes across your stack—no tabs, no commands, no clicks

If you’ve used MCP or productivity command palettes, you already get the idea. Saga just makes it seamless—and hands-free.

Say this: “Okay, so this feature needs two new endpoints. First we hit the DB…” Saga does: Transforms your thinking into structured docs, tickets, or PR descriptions

Rubber-duck your way to clean documentation—without ever breaking your train of thought. 🦆

Say this: “Move this Asana ticket to In Progress” Saga does: Surfaces answers inline, layered over your dev tools—without switching apps

Saga doesn’t ask you to visit another chat tab or AI window. It rides alongside whatever you’re already using.

Say this: “Get me the top 10 users who signed up in the last week” Saga does: Writes the SQL or JS snippet instantly—no Googling syntax, no boilerplate

Great for quick tasks that aren’t worth context switching for—but still eat up time.

Voice tools aren’t new. But they’ve all been built like assistants—floating above your work, siloed in their own sandbox.

Saga isn’t an assistant. It’s your new interface.

• Embeds in your flow instead of pulling you out of it
• Understands vague language and turns it into clean, executable actions
• Talks to your actual stack instead of giving you generic answers
• No commands to memorize—just speak naturally and keep building

Saga leverages Deepgram’s world-class speech recognition, real-time audio intelligence, and enterprise-grade voice modeling to turn voice from novelty… into interface.

Saga was built for the new wave of technical users who:

• Use Cursor, Windsurf, and AI agents daily
• Jump between coding, testing, and shipping in fast loops
• Want fewer clicks and more execution
• Believe voice should be faster than typing, not slower
• Treat their workflow like a programmable OS—and want to script it with speech

If you’ve ever written code while rubber-ducking aloud, repeat yourself to an AI that didn’t “get it,” or thought, “I wish I could just say this and have it done”—Saga is for you.

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• Try Saga for yourself at this link!
• For some guidance, tips, and tricks on using Saga, check out our quickstart page.

Deepgram is the leading voice AI platform for enterprise use cases, offering speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) capabilities–all powered by our enterprise-grade runtime. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through cloud APIs or as self-hosted / on-premises APIs – due to our unmatched accuracy, low latency, and pricing.  Customers include technology ISVs building voice products or platforms, co-sell partners working with large enterprises, and enterprises solving internal use cases. Having processed over 50,000 years of audio and transcribed over 1 trillion words, there is no organization in the world that understands voice better than Deepgram. To learn more, visit www.deepgram.com, read our developer docs, or follow @DeepgramAI on X and LinkedIn.