VoiceLayer

Talk to your AI agents.
They talk back.

AI agents now do real work: coding, research, ops. They run for minutes to hours on machines you're not sitting at. VoiceLayer gives them a voice. They brief you out loud; you approve, redirect, and brainstorm by talking, wherever you are.

An iOS app plus a lightweight client next to your agent. Works with the agents you already run.

The problem

Everyone built a screen.
Nobody built a conversation.

Agents stopped being autocomplete and started doing the work. Your new job is interrupt handler: approve this, redirect that, unblock the thing. And every one of those check-ins still needs your eyes and your thumbs.

Locked to a terminal

Your agents run on a laptop or a server. Leave your desk and the best you get is a terminal squeezed onto a phone: a wall of agent output and a thumb keyboard.

You still read every reply

The keyboard mic and dictation apps get your words into the box. But every answer comes back as text on a screen. That's half a conversation.

Dead time stays dead

Walking, driving, the gym, the school run. The moments agents were supposed to win back stay lost, because nothing talks back.

The product

A conversation-native interface for any agent.

Two ways to use it, one principle behind both: you talk, and your agents talk back.

01

Briefing

Your agents report to you.

Set an agent on a task and walk away. When it finishes, or needs a decision, you get a push notification and a spoken summary. Approve, redirect, or queue the next step by voice.

02

Call

A live back-and-forth.

Like a phone call with your agent: brainstorm a schema, talk through trade-offs, iterate on a plan, all completely hands-free. Drop back to text chat whenever it suits.

A small client next to your agent, our voice backend, an app in your pocket.
The plumbing is deliberately boring. The conversation is the product.

Voice intelligence

Raw agent output is unspeakable.

Diffs, file paths, logs. Nobody wants a terminal read aloud. VoiceLayer decides what deserves your attention, rephrases it for speech, and says it like a colleague would.

What the agent produced
● Edit app/models/user.py (+18 −2)
+  def validate_email(self, value):
+      if not EMAIL_RE.match(value):
+          raise ValidationError(value)
● Edit app/schemas/user.py (+4 −1)
● Bash: pytest tests/ -q
  42 passed in 3.18s
What you hear
“I’ve added email validation to the user model — two files changed, tests pass. Want me to continue with the API endpoint?”

🔊 Spoken to you. Answer by talking.

01

Salience

Decides what deserves voice at all, and what can wait in the transcript.

02

Reformulation

Turns technical output into something worth saying out loud.

03

Natural speech

Context-aware voice that sounds like a colleague, not a screen reader.

04

Conversation state

Keeps the thread across sessions, interruptions, and multiple agents.

Agent-agnostic

One voice for every agent you run.

VoiceLayer is a neutral layer over the agents you already use. Run several at once and switch between them mid-conversation, using text and voice interchangeably.

Claude Code Codex Aider Cline + any CLI agent

Early access

Let’s give your agents a voice.

VoiceLayer is being built at Boring AI Labs. Join the waitlist and be among the first to talk to your agents.

Questions? hello@voicelayer.tech