AI app for it and development · no coding needed
Voice-driven coding agent console
Let developers talk to AI coding agents by voice and hear the agents' replies out loud.
Made for: Developers and small engineering teams working with AI coding agents
What it does for you
The problem
Typing to coding agents is slow and keeps hands off the keyboard, and agent replies are easy to miss during long runs.
What it gives you
Reviewed voice-and-text session linked to the agent's actual output
What you give it
Agent session logsvoice command mappingsIDE contextrun signals
Build your own version of SKI, Vox and more
One app with what these 5 AI tools do, yours to keep and change: SKI, Vox, Claude Code Voice Mode, Voqal, Heard.
Everything these tools do, in one app
- Voice input to agent Lets the user speak prompts to the coding agent instead of typing them.Found in SKI, Vox, Claude Code Voice Mode and 1 more
- Spoken agent replies Plays the agent's response as audio so the user can hear it.Found in SKI, Vox, Claude Code Voice Mode
- Local on-device processing Runs speech recognition and speech synthesis on the user's machine without sending audio to the cloud.Found in SKI
- Push-to-talk activation Starts listening only while a key is held, giving precise control over when the agent hears you.Found in SKI, Claude Code Voice Mode
- Continuous listening mode Keeps the microphone active and reacts to natural pauses for hands-free conversation.Found in Claude Code Voice Mode
- Transcript review before send Shows the recognized text so the user can inspect and edit it before it reaches the agent.Found in SKI
- Live captions and transcript Displays the ongoing conversation as text on screen and keeps it available during the session.Found in Vox, Claude Code Voice Mode
- Typed fallback Allows typing a turn instead of speaking while still hearing the agent's reply aloud.Found in Vox
- Interruption and barge-in Lets the user cut in mid-reply to stop the agent's speech and restate or correct the request.Found in Vox
- Context preserved across modes Keeps the chat context when switching between voice and text input.Found in Claude Code Voice Mode
- Automatic transcript saving Saves voice chats as text transcripts in chat history for later review or search.Found in Claude Code Voice Mode
- Voice and pace selection Offers preset voices and adjustable speaking pace for the agent's audible replies.Found in Claude Code Voice Mode
- IDE integration Connects to integrated development environments so voice commands can generate code, navigate, and switch modes.Found in Voqal
- No wake words Lets the user speak commands instantly without saying a trigger phrase first.Found in Voqal
- Customizable commands and tools Allows tailoring voice commands and adding custom tools for specific workflows.Found in Voqal
- Contextual understanding Uses context to improve the accuracy of interpreting spoken commands.Found in Voqal
- Intelligent speech summaries Produces concise, natural narration of agent output rather than reading everything verbatim.Found in Heard
- Hard signal detection Speaks permission prompts, tool-call failures, and run exits immediately so they are not missed.Found in Heard
- Multi-agent swarm summaries Gives each parallel agent its own voice and summarizes the group into one status update.Found in Heard
- Phone pairing Streams audio narrations to a paired phone and lets the user answer by voice and approve next steps with a tap.Found in Heard
- Screenshot sharing Lets the agent see the user's screen via a hotkey when describing a visual issue.Found in SKI
- Meeting call participation Allows the agent to join a call as a separate voice and speak on the user's behalf.Found in SKI
How it works, step by step
- Capture spoken prompts to the coding agent
- Play agent replies as audio
- Run speech recognition and synthesis on the local machine
- Support push-to-talk activation
- Support continuous listening with pause detection
- Show the transcript for review before sending
- Display live captions and keep the session transcript
- Allow typed fallback while replies stay spoken
- Allow interruption and barge-in mid-reply
- Preserve context when switching between voice and text
- Save voice chats as searchable transcripts
- Offer preset voices and adjustable pace
- Connect to the IDE for code generation and navigation
- Accept commands without wake words
- Allow custom commands and tools
- Use session context to improve command interpretation
- Produce concise spoken summaries of agent output
- Speak permission prompts, tool failures and run exits immediately
- Give each parallel agent a voice and summarize the group
- Stream audio to a paired phone and approve next steps by tap
- Share a screenshot by hotkey when describing a visual issue
- Let the agent join a call as a separate voice
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed voice-and-text session linked to the agent's actual output with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Voice-driven coding agent console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Voice-driven coding agent console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Let developers talk to AI coding agents by voice and hear the agents' replies out loud. For developers and small engineering teams working with AI coding agents, convert spoken prompts, agent replies, transcripts and run signals into a reviewed voice-and-text session linked to the agent's actual output. The benefit is a testable hypothesis, measured through accepted agent turns per session and corrections after voice input; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect agent session logs, voice command mappings, IDE context and run signals, then follow this sequence: 1. Capture spoken prompts to the coding agent. 2. Play agent replies as audio. 3. Show the transcript for review before sending. Resolve uncertain cases with qualified reviewers, approve reviewed voice-and-text session linked to the agent's actual output, and measure accepted agent turns per session and corrections after voice input against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One supported IDE and one agent protocol; final code review and merge decisions remain with the developer. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve developer intent, source attribution, code accuracy and usage permissions. Developers approve substantive changes and deployment scope. One supported IDE and one agent protocol; final code review and merge decisions remain with the developer. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One supported IDE and one agent protocol; final code review and merge decisions remain with the developer. Implement one approved input format, a bounded representative case set and the first two task modules: capture spoken prompts to the coding agent; play agent replies as audio. Support the third module with operator review: show the transcript for review before sending. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Developer-owned repositories, authorized agent session logs and permitted IDE context. Cloud asset storage, IDE import/export and phone audio destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Session setup and voice controls, Live transcript and captions, Admin console for commands and tools. Use a session list, a large central transcript canvas, and a right-hand panel for voice settings, command mappings and run signals. Let users compare voice and typed turns side by side. Display listening, transcribing, awaiting review and sent states. Provide a phone pairing view with tap-to-approve. Make the task-specific outcome reviewed voice-and-text session linked to the agent's actual output visible beside its evidence, review state and value baseline.
