Real business owners asking for AI receptionists and 24/7 call answering on Reddit right now, updated weekly.
Missed calls are lost revenue, and service business owners say so on Reddit constantly: med spas, clinics, law firms, HVAC and plumbing companies asking "What answers my phone after hours?", "Is there an AI receptionist that books appointments?", "Losing jobs because I can't pick up while working".
Leadverse finds those posts across r/smallbusiness, trade subreddits and local-service communities, then filters each for buying intent. Everything below is from an owner describing the exact problem an AI receptionist or voice agent solves. The list rotates weekly with fresh demand.
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Live ai receptionists & voice agents leads from Reddit
Anonymized previews - the full posts, links and outreach drafts are inside Leadverse.
This page is a public preview of Reddit posts where people are asking for AI receptionists and voice agents. Leadverse finds these conversations so you can spot potential customers before they go cold.
I am an average female jr dev who just know how to do CRUD app and I used LLM(Open AI API) to translate product to German, Spanish. How long would it take usually to build those AI agents team like agents for coding, PM, QA, UI/UX, Customer support etc....
I am an average jr dev who just know how to do CRUD app and I used LLM(Open AI API) to translate product to German, Spanish. How long would it take usually to build those AI agents team like agents for coding, PM, QA, UI/UX, Customer support etc....
Hey y'all! Got a small business here in Dallas that's growing pretty fast and starting to get more after-hours inquiries about openings. I'm debating hiring someone offshore from the Philippines to handle these after hours calls, or just getting an AI receptionist to handle it. For context: we're getting about 10-15 after hours calls each day (usually from 5pm-9pm or 6am-8am). It's a big enough problem where it's a pain in the butt to return the calls each day. We're getting backed up and I'm worried we're missing out on deals where our competitors are picking up the phones and answering while we're not. I've talked with some people who use overseas help and for the most part they're happy with it. Just takes time to train them up (which I'm not excited about) and I'm not sure whether my customers would prefer to talk to AI or someone overseas? Feel like an AI receptionist will be better in the long term from a cost savings standpoint, but worried about the setup being a hassle. Just need something that can book appointments and answer basic customer questions. For the AI receptionist options, I'm looking at Nextiva, Dialpad, and Smith ai. Is anyone using either of these approaches? If you are, would love to hear what your experience has been like and who you're using. Thanks!
I need help understanding what AI agents are and how they are produced, where you make them. For the longest time, I basically just thought it was opening a new chat inside of ChatGPT or Claude and giving the persona and tasks to the AI inside of that specific chat. You'd have one chat window dedicated mostly to marketing, another chat window dedicated to image creation, another one to sales, another one to coding, anything like that, really. Am I completely wrong here?
Interesting features! I am interested in ai chatbot
Hello! I have a fishery business and most customers usually have a lot of different questions before placing an order online (cant blame them haha). I dont want them to wait until someone from my team replies. An ai chatbot can be a good help to automate the whole process. How does this work?
How can I build shared context between WhatsApp and an AI voice calling agent?
How can I build shared context between WhatsApp and an AI voice calling agent? I'm building an AI system where a customer can communicate with the same AI through WhatsApp and voice calls. For example: 1. A customer starts chatting with the AI on WhatsApp. 2. During the conversation, they ask for a phone call. 3. The AI voice agent calls them. 4. The voice agent should already know the relevant WhatsApp conversation and continue from the same context instead of starting from scratch. 5. After the call, the customer returns to WhatsApp. 6. The WhatsApp AI should know what was discussed during the call and continue from that point. And the reverse should also work: Voice call → WhatsApp → same context I want the customer to feel like they're talking to one AI, regardless of the channel. I'm considering using a central customer ID linked to the phone number and storing the conversation history/customer information in a database, so both the WhatsApp agent and voice agent can access the same context. However, I'm unsure about the best architecture. \- What is the best way to maintain shared context between WhatsApp and a voice AI agent? \- Should I use a central database/memory layer? \- How should I identify the same customer across both channels? \- How should the WhatsApp → voice context handoff work? \- How should the voice → WhatsApp context handoff work? \- How can I prevent the AI from getting confused by multiple summaries or different conversation contexts? \- Has anyone built something similar using WhatsApp Business API, n8n, GHL, or another CRM? I'm looking for a practical, production-ready approach rather than just passing the entire previous transcript to the AI every time.
2 Questions What are some of the key requirements we need to consider in order to build the best AI agent ? Is there anyone working on AI Agents for real estate ? ( wanna see some awesome work )
How to build a custom multimodal AI agent/assistant for PC and Mobile automation?
Hi everyone, I want to build a personal voice-activated AI assistant/agent that can execute tasks across both my PC (Windows) and mobile device based on voice commands. Here is what I am aiming for: Cross-Platform Control: Capable of automating tasks on PC (managing files, running scripts, app controls, browser automation) and basic mobile actions. Voice-to-Action: Fast Speech-to-Text (STT) → LLM reasoning / Tool Calling → Execution → Text-to-Speech (TTS). Architecture/Backend: Flexible to run via API (OpenAI/Gemini/Claude) or locally (Ollama/vLLM) with proper function calling / agentic frameworks. Questions for the community: 1. What frameworks or agent architectures do you recommend for bridging OS-level actions (e.g., LangChain, AutoGen, CrewAI, or direct Python OS/pyautogui scripting)? 2. How should I handle the mobile ↔ PC sync and remote execution securely (e.g., local Flask/FastAPI server, WebSockets, or Home Assistant integration)? 3. Are there existing open-source projects or GitHub repos doing this well that I can study or contribute to? Thanks in advance for the guidance!
Should we replace our legacy IVR with an AI system?
My company is looking at replacing our legacy IVR with an AI system for inbound customer calls. The main reason is that we're trying to reduce unnecessary transfers. Right now, customers often have to go through multiple menu options before reaching the right team and we're wondering if an AI agent could handle more of the initial conversation and route people based on what they actually need. The part I'm unsure about is how well this works in practice. Things like interruptions, unclear requests, authentication, transferring to a human and keeping the conversation from going completely off track seem like they could get complicated pretty quickly. For anyone who's actually moved from a traditional IVR to an AI agent, what did the transition look like? What worked better than expected and what ended up being a bigger headache than you thought?
I can build the agent. What am I supposed to do once I have 10 of them?
I've been someone who started building stuff in last 2 yrs so, no-code AI tools lately, and something has been bugging me. Building and deploying and testing one agent seems textbook now. But then I started wondering what happens when people actually start applying these things seriously. Say I have 20 agents across different workflows: one handles lead qualification, one summarizes support tickets, one works with internal docs, one handles reporting, one triggers automations At that point for real work, what's used to keep track...like How do I know which agents I have? How do I version them when I change prompts/tools? How do I control what each agent is allowed to access? How do I test an agent before letting it loose on real users/data? How do I see what actually happened when an agent makes a bad decision? And if I'm a no-code builder, I'd really rather not have to suddenly learn a whole DevOps stack just to manage the things I created without code 😅 I'm curious how people here handle this today. Are there really any no-code tool capable of this? Is the normal answer basically "use something like n8n/Make/Zapier + spreadsheets + logging + some manual discipline", or are the newer AI-agent platforms starting to solve the management/governance layer as well? I've seen Lyzr's control plane/ Agent studio discussed as one approach to this, while products like Relevance AI, Microsoft Copilot Studio and others are coming at the broader no-code/agent-management problem from different angles. Would be interested to hear what people here are actually using once they go beyond 1–2 agents or what companies or start-ups use, and where the no-code abstraction starts to break down?
They are month to month so I decided to hedge my bets and only go with a one month payment of $108. Turned out to be the right move. In order to move forward I had to schedule a "care meeting" and they sent a link to their scheduling system. After trying over 30 times I kept getting the error "Time is no longer available. Please select a new time". I eventually gave up. Every time I tried to pick an "open" time slot it immediately says its already filled. Now awaiting refund and wondering who to try next.
Anyone uses AI for business development and partnerships? Scrape, outreach, negotiate, close
Hey so as part of my work, I need to reach out to thousands of vendors, and find out if they are suitable and interested to be part of our network to offer their service to our leads. Ideally the AI agent can even be charming and build a warm relationship with the potential partners. That's honestly the most exhausting part to do the intro over and over, explain same thing over and over. I used to do this super manually, it's just not scalable, and I don't want to do it all over again. Hiring and training would take a while too. I think there needs to be a better way to automate this. Anyone has done anything similar?
I see a lot of posts from different agency owners regarding managing multiple clients, niches and industries. I'm a beginner, I have 4 clients at the moment and is on the process of onboarding my 5th (contracts signed, need to start his campaign). I work with IT services firms and MSP's and help them find new businesses via cold email. I like the niche as I used to work in the sector before and can understand what makes a good customer, the technical lingo and feel more comfortable doing marketing for an industry I'm familiar with. I mainly need help on strategies I can use to make onboarding, reporting and client management easier. I can generate decent leads but I can see that two of my customers arent effectively taking advantage of the hand-offs, reducing their roi. Chasing after them and ensuring everyone is fully satisfied also takes a lot of my time that I could spend on outbound and adding more revenue. What software/tactics can you all recommend to make client management easier? Anyone had success automating replies and lead management or should I hire someone? Open to all thoughts
Automated conversations with quiz takers for more sales
Hey guys Recently set up a quiz funnel using Octane AI on my DTC wellness brand. \+3% increase in conversions of people who go through it. Tried emailing some people based on their results and got some convos going that ended in sales. Looking for a tool to automate outreach to people who're likely to buy at scale. Ideally responding back and forth with them. Have the essential email flows set up, but seems emailing them very personalised has real potential. Anyone know a tool for this? See lots of AI SDRs but not compatible.
Anyone running an AI voice agent on the Calling API with real users
I have a bot on the Cloud API that handles text. Message comes in, an LLM answers it with a few tools attached, reply goes back out. That part is stable. Now I want people to be able to call the same number and talk to it, and I am stuck on how to wire the audio. Two shapes I can see. First is a pipeline. Take the call audio, run STT, hand the transcript to the same model that already answers the text messages, TTS the reply and stream it back. The brain already exists so I would mostly be wrapping it, but that is three hops of latency and I would be writing my own turn detection and barge in handling. Second is putting a speech to speech model directly in the call. Grok's Voice Agent API does this, OpenAI Realtime does too, audio in and audio out with function calling built in. Much less of my code sits in the path that way. Cost is that my prompt and tools need porting, and I lose the transcript step where basically all my debugging happens today. From the docs the Calling API gives WebRTC media by default with SIP available if you enable it, so reaching the stream looks fine on paper. Less clear to me is the 2000 conversations per 24h messaging limit before production calling unlocks. Sandbox numbers get around that for testing, which only proves the plumbing works. If you have run either version with actual users on it, how bad is the latency in practice, and how often does the model end up talking over the caller. Mine is an India number if that changes anything.
I'm so done with Poke. It has the worst memory OAT, and all the good features are on Pro, which is $20 a month. And worst of all, this whole thing is vibecoded. The entire product is made by a bunch of amateurs, and I run into bugs all the time. What's the best AI agent currently? Preferably one with a free trial.
Ai Receptionist I am strongly considering using an ai receptionist for a number of reasons - I can’t handle the calls myself, training receptionists in the past have been tremendously difficult due to the technical nature of my business. We miss calls all the time. Humans are super slow, etc How has your experience been? Are you booking more (because it answers all calls), are a lot of people hanging up? Out of the box AIR are bad but some allow you to fine tune your AIR really well and it gets close to human speaking, reasoning and behavior.
Ai Receptionist I am strongly considering using an ai receptionist for a number of reasons - I can’t handle the calls myself, training receptionists in the past have been tremendously difficult due to the technical nature of my business. We miss calls all the time. Humans are super slow, etc How has your experience been? Are you booking more (because it answers all calls), are a lot of people hanging up? Out of the box AIR are bad but some allow you to fine tune your AIR really well and it gets close to human speaking, reasoning and behavior.
I am strongly considering using an ai receptionist for a number of reasons - I can’t handle the calls myself, training receptionists in the past have been tremendously difficult due to the technical nature of my business. We miss calls all the time. Humans are super slow, etc How has your experience been? Are you booking more (because it answers all calls), are a lot of people hanging up? Out of the box AIR are bad but some allow you to fine tune your AIR really well and it gets close to human speaking, reasoning and behavior.
Looking for experience connecting buyer intent data to Agentforce
Hi all, I am wondering who has tried connecting 1st party intent data (SFMC engagement data, lead web activity, products & services they're interested in, buyings signals) to Agentforce agents and how successful it was. Specifically this could be agents that reach out to buyers on whatever channel. Also copilots of any sorts or segmentation agents that plan campaigns. Finally, keen to hear how it was technically achieved, whether through Data Cloud or else.
Anyone uses AI for business development and partnerships? Scrape, outreach, negotiate, close
Hey so as part of my work, I need to reach out to thousands of vendors, and find out if they are suitable and interested to be part of our network to offer their service (we likely will have a lot of leads), and maybe the AI agent can even be charming and build a warm relationship with the potential partners. I used to do this super manually, and I think there needs to be a better way to automate this. Anyone has done anything similar?
Anyone else losing customers due to call center issues?
Like the title says. My company is losing customers because our phone system is so outdated it no longer works properly, so we're considering adding an agentic phone service to help us keep people on the line until a representative can get to them. Has anyone here done this?
if anyone was building an ai chat program would any of you try it?... i know there are some people who build them out themselves but if they were asking for people to get feedback would you give it a shot?
Hello, my medical clinic handles insurance and other sensitive information and must be protected. My clinic has 4 employees and we have 3 different softwares that we manage patients in. I would love an ai receptionist as well. Please only provide insights on real companies you have personally worked with.
Hello, my medical clinic handles insurance and other sensitive information and must be protected. My clinic has 4 employees and we have 3 different softwares that we manage patients in. I would love an ai receptionist as well. Please only provide insights on real companies you have personally worked with.
Hello, my medical clinic handles insurance and other sensitive information and must be protected. My clinic has 4 employees and we have 3 different softwares that we manage patients in. I would love an ai receptionist as well. Please only provide insights on real companies you have personally worked with.
Hey everyone 👋 We're an accounting firm based in Pakistan, and we're currently exploring the idea of building a custom AI assistant with a realistic live video avatar. I'd love to get some advice from devs here who have worked on similar systems. The main idea is an assistant with: ✅ Workflow automation to handle admin tasks ✅ Real-time voice and video conversations ✅ A persistent live avatar with memory ✅ Integration with basic software like Word, Excel, and email We're currently in the early research phase and just trying to map things out. I'm hoping to get a realistic idea of what timelines and costs look like in the local market before we start planning next steps. I'm mainly trying to figure out: 1️⃣ What tech stack would you recommend for this? 2️⃣ What would a basic MVP roughly cost to build? 3️⃣ How much time would it realistically take? 4️⃣ What are the biggest technical roadblocks to watch out for? I'd really appreciate any insights or lessons learned from anyone who has worked on live video agents or workflow automation. Thanks!
Need advice: Building a custom AI video assistant
Hey everyone 👋 We're an accounting firm based in Pakistan, and we're currently exploring the idea of building a custom AI assistant with a realistic live video avatar. I'd love to get some advice from devs here who have worked on similar systems. The main idea is an assistant with: ✅ Workflow automation to handle admin tasks ✅ Real-time voice and video conversations ✅ A persistent live avatar with memory ✅ Integration with basic software like Word, Excel, and email We're currently in the early research phase and just trying to map things out. I'm hoping to get a realistic idea of what timelines and costs look like in the local market before we start planning next steps. I'm mainly trying to figure out: 1️⃣ What tech stack would you recommend for this? 2️⃣ What would a basic MVP roughly cost to build? 3️⃣ How much time would it realistically take? 4️⃣ What are the biggest technical roadblocks to watch out for? I'd really appreciate any insights or lessons learned from anyone who has worked on live video agents or workflow automation. Thanks!
AI provided limiting potential increased productivity?
Does anyone else feel all the limits they put on allowed AI systems is just completely destroying the potential of increased productivity we could get out of them. I understand certain limits due to confidentiality, but it feels like they destroyed the systems allowed for us to use. Plus why is there no integration to our actual applications used for most of the useful/potentially useful AI. For example, we don’t even have access to the documents any tool within sidekick can produce or ability for them to edit directly within any Microsoft applications. For in house tools for example, Omnia Edge, they still need a lot of work to be able to actually help in the capacity we need. Forget even using most of sidekick’s capabilities anymore. It was pretty good when it first came out and I was for sure 50% more productive at least and would think it would only get better with time, not worse. The current AI systems are now very slow, are producing wrong outputs and have very small data limits(only allowing 5 uplaods per chat?). Why are they limiting us and does anyone have a solution on how to actually use Deloitte approved AI tools to better our work with the current blockers. If it is worry of confidentiality they just need to push training on common sense items like redact a clients name/ sensitive information before uploading items until they can get the in house tools up to speed. I’m jealous of other industries who are able to utilize AI and all the tools and tricks I see online. Am I just using these tools wrong/ not aware of the right ones we have access to? If you have a current solution please share.
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Who is posting these AI receptionist leads?
Mostly owners of appointment-driven businesses - clinics, salons, law firms, home services - describing missed calls, after-hours gaps or booking friction.
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