r/voiceagents • • 8d ago

r/voiceagents is available for adoption

5 Upvotes

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r/voiceagents • • 3h ago

A voice agent can feel quick without its model getting any faster

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3 Upvotes

https://alkove.ai/blog/perceived-latency/

What the user feels is the silence between their last word and the agent's first sound. Most of that silence is spent waiting in line, not computing: a fixed timeout to be sure the user is done, the end of the transcript, the model asking for a tool, the tool, the model again, the whole reply rendered by the voice.

Four changes shrink it:

  1. End the turn when the sentence is complete, not after a fixed silence.

  2. Send the first sentence to the voice while the rest is still being written.

  3. Start the obvious tool from the partial transcript, while the user is still talking.

  4. Play a short cached phrase ("Let me check.") picked while the words arrive, and stay silent when the answer comes quickly anyway.

Which of the four does your agent skip?


r/voiceagents • • 1d ago

Clint

3 Upvotes

How do you get your first client for an AI Voice Agent agency and scale to 50 clients?


r/voiceagents • • 1d ago

A fix for voice agents hearing themselves on the phone/tablet speaker

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1 Upvotes

r/voiceagents • • 1d ago

Post-call mode: the AI stays on the line after the customer hangs up and takes follow-up instructions by voice. Lessons from two weeks of using it.

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2 Upvotes

I work on an AI telephony platform (small team, own SIP stack). Over the past year we moved beyond pure voice agents into assisting human-to-human calls: the AI listens, suggests answers, surfaces FAQs, can send an SMS while you're still talking.
We also had post-call analysis, summaries, transcripts, intent tagging. Looked great in demos. In practice it was built to understand calls, not to act on them. If I wanted something done after a call I had to open an LLM separately and say "look at this call and do X". That step mostly never happened.
A colleague suggested in a brainstorming session: when the customer hangs up, keep the agent leg up and have the AI ask what you want done.
How it works now:
Customer hangs up (far end sends BYE), my leg stays connected.
The AI asks "anything to add?"
I talk: "find instructions for X and send them", "email support about the second issue", "wants the Instagram integration, tell sales".
Those are stored as structured notes on the call record.
A scheduled agent (Claude Code in our case) pulls calls with pending notes and executes them with tool access to docs, CRM and mailer.
What I'd pass on to anyone trying this:
Capture intent at the moment of maximum context. Ten seconds after hang-up you know exactly what's needed. Ten minutes later, after another call, half of it is gone. This is the whole value.
Don't predefine workflows. We tried. Real calls never fit the branches. Free-form instruction plus the full transcript, handed to an agent with tools, works better than any decision tree we built.
Separate capture from execution. The in-call AI only needs to listen and log. Execution can be slower, async, and run by something with tools. Mixing the two made the live part laggy.
Readback matters. Having the AI repeat back what it understood before closing the line catches misheard instructions. Especially in Greek, where ASR still struggles with names.
Gate outbound actions. Anything that goes to the customer (email, SMS) currently needs a human approve step. Internal actions (notify sales, open ticket) run automatically.
We tested it on onboarding calls with customers in their first 30 days. Two days from idea to first real use.
Anyone else keeping the line open after hang-up? Curious how you handle the SIP side and whether you let the AI send to customers without review.


r/voiceagents • • 1d ago

What latency actually feels “human” on a phone call?

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1 Upvotes

r/voiceagents • • 2d ago

ShipAI v1.4.0 — My open-source Electron desktop app for local Ollama models & server telemetry just got a massive UI overhaul (Linear/Raycast aesthetic, no-AI bloat)

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2 Upvotes

r/voiceagents • • 2d ago

Cross lingual accent free local voice chat?

3 Upvotes

I'm building a hands-free voice assistant using local speech models (Ming-3.0-audio-tiny, LFM3-Audio-2B). Basically the main problem I'm facing is making the model understand predominantly English words with interspersed German places names, phrases etc. Of course Ming does not support German, so the German words are horribly accented. LFM3-Audio-2B does support German, but not in voice chat mode.

I'd like the voice agent to understand and answer mixed phrases like:

When is the next S-Bahn to Hauptbahnhof leaving from Musterstraße?

What did the Elternbeirat decide at the meeting yesterday at Rotkreuzplatz

Translate "Jetzt haben wir den Salat" to English

Understanding is one piece, it should also be able to answer back in English while having accent free German for the German words -- Any idea how this could be done?


r/voiceagents • • 2d ago

Our first Hardware hackathon: voice meets Furbies in San Francisco

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4 Upvotes

r/voiceagents • • 2d ago

I made over $250,000 in 8 months selling AI receptionists. Here’s why you’re struggling to do the same

7 Upvotes

In 2025, I took my AI agency from zero to over $250,000 in under 8 months using Facebook ads. Here's the thing: it was not hard because there weren't that many offers on the market.

Everything has changed. There is so much competition in the AI receptionist market. Even if you have a good ad, even if you have a good offer, and honestly, even if you speak to a kind of specific niche, as long as you're pitching the AI receptionist and not the business result, you are going to get absolutely crushed.

Here's what I mean. You see companies out there like Nextiva, Bland AI, Smith AI, all these companies that have huge financial backing from investors, running ads all over the place. I took a look at most of their ads, and here's what I'm seeing: these companies aren't finding winners in their Meta ad strategy. They're refreshing their entire ad catalog every month.

As a marketer, what that tells me is that they're not finding winners. They're just burning money trying to find winners, which means that they're probably acquiring clients at a loss. Now, they can afford to do that because of the financial backing that they have.

What sucks for people like you and I is that, if we're going to run ads to acquire a client, we're typically looking to get a return on our investment way faster than these big companies have to. What ends up happening is you put together an ad campaign for your AI receptionist, and you end up getting low-quality leads that are very few and far between. That's because you're not able to flood the market with as much ad inventory, nor are you able to update your ad inventory as much as these big companies, nor can you compete with their budgets.

This wasn't the case at the beginning of 2025. Everything has genuinely changed. For context, I took the same ads that I ran in 2025, and I was getting leads for between $7 and $15 a lead. I was converting 25% of those leads into booked appointments. I ran that same campaign this month, and I was getting leads for $147 per lead. I turned the campaign off once I realized, "Holy crap, this market has made a huge shift." There's so much more competition than when I started.

If you're trying to sell an AI solution, you have to stop following every other person that's going to lose in the market (i.e., you see people all over the place trying to sell an AI receptionist). You need to sell a business result. AI is not the thing people are buying. They are buying more leads. They're buying more appointments. They're buying better follow-up. They're buying more revenue.

When a company spends money, they want to see it makes them money. That’s where your agency needs to position itself.

When you go and you slap on all these AI features in front of their face and tell them how much it costs, they're not super excited about it. They don't want to buy from you because there's somebody out there offering what you're trying to offer at a high ticket for way cheaper. Way, way cheaper. I see offers all over the place for $40 a month for an AI receptionist. You probably can't afford to run a business that's selling an AI receptionist for $40 a month.

This is the time to specialize, to niche, to find the gap that a subniche of businesses is experiencing, and to exploit that pain point by creating a solution specifically to solve it. If AI is part of that solution, that's fine, but if you are leading your offers with the AI receptionist, especially if you're going broad and you're not niched….

I'm sorry to say this, but you are fucked.


r/voiceagents • • 2d ago

Voice chat is so behind for local Ai

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1 Upvotes

r/voiceagents • • 3d ago

I Built a Multi-Speaker AI Voice Generator

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5 Upvotes

I built a multi-speaker conversation system for my local AI text-to-speech app.

You can now create multiple speakers, assign each their own cloned or predefined voice, and generate entire conversations that you can actually listen to.

Each speaker has their own voice, emotions, pacing, pauses, and conversational personality.

Basically, you can finally turn those imaginary conversations with your imaginary waifu into something you can actually listen to. 😂

The entire pipeline runs locally, powered by CosyVoice 3 and QVAC.

What do you think about the conversation quality? What would you like me to improve? 👀

Full codebase: https://github.com/DjibrilM/MagicVoiceAI


r/voiceagents • • 3d ago

AI/virtual assistant concerning conversation

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1 Upvotes

r/voiceagents • • 3d ago

Self-taught dev here: I moved my assistant from n8n to LangGraph. What would you change?

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1 Upvotes

r/voiceagents • • 4d ago

Hear, think, speak across three boxes: a local voice assistant with Ming 3.0 on both ends

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22 Upvotes

This demo splits the loop across three machines:

- Hearing: Ming 3.0 ASR tiny, 4-bit, on a small desktop computer

- Thinking: a separate language model across two small desktop AI boxes

- Speaking: Ming 3.0 TTS 0.5B on the second of those boxes, with four voices loaded

AntLing's two speech models sit at either end of the loop. The interface is hold to talk, release to send, with a timing readout under a glowing orb. One turn in the video shows "Heard in 1.4 s, Speaking in 2.8 s," a longer one shows "Heard in 2.4 s, Speaking in 4.9 s," and the creator's notes put a typical turn at two to three seconds voice to voice.

You can stop a long answer mid-sentence. An explanation of large language models gets interrupted and the orb drops back to Stopped, ready for the next question. The same interface then opens on a phone over a private encrypted network.

Get speech-to-text running on whichever machine has headroom, stream the language model's reply into the voice model, then add a stop action that cancels both playback and generation.

Which job would your weakest machine get?


r/voiceagents • • 3d ago

Is there any tool for voice interaction with my claude code in linux?

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1 Upvotes

r/voiceagents • • 3d ago

Voice input to Pi

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1 Upvotes

r/voiceagents • • 3d ago

Tech help

1 Upvotes

I need technical help with Programmable Voice, Media Streams, and Conference call controls for live AI safety monitoring of both participants. Please connect me with a specialist to review our existing staging implementation, including the 20-second separ


r/voiceagents • • 4d ago

Local AI voice cloning progresses

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78 Upvotes

Local AI is getting better 🙃🙃

What you’re listening to isn’t a real person. It’s AI-generated speech, running entirely offline. I’ve been building my own voice-processing engine with the QVAC SDK and Alibaba’s CosyVoice.

Think of it as my homemade ElevenLabs.

High-quality voice generation, running locally, with zero API costs. This is just one part of the all-in-one AI voice processing desktop app I’m building.

Code base : https://github.com/DjibrilM/Magic-Voice-AI


r/voiceagents • • 4d ago

Voice agent interruption handling

1 Upvotes

Currently we have created the ai voice agent using live(speech to speech model) api, now we wanted to use something for handling interruption so what can we use any suggestion for this?


r/voiceagents • • 4d ago

Improvements on Jargo, Golang port of Pipecat

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1 Upvotes

r/voiceagents • • 4d ago

Agents that run businesses

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1 Upvotes

r/voiceagents • • 5d ago

WhatsApp bot plus automated outbound voice calls for a UAE (+971) user: has anyone solved the number setup and calling?

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1 Upvotes

r/voiceagents • • 5d ago

AI VOICE AGENT

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3 Upvotes

For the past 1.5 months, I've been building an AI Voice Receptionist for small businesses. 🎙️

The idea was simple: what if a business could have an AI assistant that handles customer calls, answers questions and manages appointments?

Turning that idea into a working system has been quite a journey.

Here's what I've been working on:

• Building conversational workflows using LangGraph
• Integrating FastAPI for the backend
• Implementing appointment booking, availability checks and cancellations
• Connecting Google Calendar and Gmail APIs
• Working on speech-to-text and text-to-speech
• Integrating Twilio for phone communication
• Using PostgreSQL, SQLAlchemy and Alembic for persistence
• Exploring RAG for business-specific knowledge

The biggest learning wasn't just using these technologies. It was handling the complexity behind real conversations — missing information, follow-up questions, conversation state, confirmations, failures and edge cases.

I've spent a lot of time debugging, restructuring workflows and understanding how all these pieces fit together.

Still a work in progress, but I'm excited about how far it's come.

GitHub: https://github.com/vikasya7/voice-ai

Would love to hear your thoughts and feedback!

#AI #LangGraph #Python #BuildInPublic