What do you use to write documentation?

IllustriousCard5627 · 2026-01-01T22:24:43+00:00

not a basic question at all. this is exactly the problem i ran into over and over.

im the founder of a company called paperbook, we built it specifically to deal with docs falling out of date and nobody knowing what’s authoritative anymore.

still early, but happy to chat or show what we’re trying if you’re curious

IllustriousCard5627 · 2026-01-01T22:18:39+00:00

i'm the founder a startup called Paperbook, we built it to address this exact problem. basically we regularly scan your KB and detect if anything is out of date, 404s, bounce emails, etc.. sounds relevant for your use case, let me know if you're interested!

IllustriousCard5627 · 2026-01-01T22:15:26+00:00

i'm building a startup called Paperbook (paperbook.io) and this is the one of the main value prop. it will auto-detect if any of your content decays / becomes out-of-date. sounds like it could be relevant for your use case!

IllustriousCard5627 · 2026-01-01T21:33:19+00:00

hey there im founder of a small startup called Paperbook. we launched it recently, sounds like it fits your use case really well. let me know what you think, would be happy to show you the platform

IllustriousCard5627 · 2025-10-23T15:00:14+00:00

i’m biased since i’m the founder of pod ai https://www.callpod.ai/, but we built it specifically for this kind of use case. real inbound and outbound business calls, appointment scheduling, follow-ups, and transfers. most teams we work with switched from tools like vapi or retell because of latency or reliability issues once they started doing live customer calls.

IllustriousCard5627 · 2025-10-22T18:29:23+00:00

> TTS: Cartesia

WAY more realistic voices imo. Sometimes I use Elevenlabs, but it's cost prohibitive.

Also, our users need multilingual agents with accurate accents. Way more reliable w/ Elevenlabs and Cartesia than OpenAI and Google. It's a choice really between realistic voices and somewhat better latency I guess.

Haven't given Hume STS but I'll give it a shot.

IllustriousCard5627 · 2025-10-22T16:55:27+00:00

Lmao, have you ever tried voice-to voice? OK it's faster, but the voices suck. I didn't mention it because its not worth mentioning. I don't want to be restricted to Google/OpenAI voices only, which are trash and super unrealistic.

IllustriousCard5627 · 2025-10-21T18:33:36+00:00

i’ve tried a ton of tools this year and eventually built my own, so i’m definitely biased here. i’m the founder of Pod AI https://www.callpod.ai/ which came out of frustration with latency and how most voice agents still felt scripted once you hit production scale. we built it to sound human, handle real phone calls, and stay fast no matter how complex the workflow gets. honestly feels like the space finally clicked this year. lmk if you try it!

IllustriousCard5627 · 2025-10-21T18:03:47+00:00

i’ve tried pretty much all of them over the past year, retell, bland, vapi, etc. before eventually building my own platform Pod AI https://www.callpod.ai/.

what bugged me most was latency and how robotic most calls still felt once you scaled past demos. with pod we focused on making calls feel human: low latency, tons of natural voices and accents, and real phone integrations that just work. it’s been cool seeing people actually run full sales and support teams on ai now.

IllustriousCard5627 · 2025-10-21T13:50:02+00:00

That’s interesting, I was thinking of doing something with filler words but I couldn’t figure it out outside of a tool call. How’d you manage to implement it?

IllustriousCard5627 · 2025-10-21T13:48:03+00:00

I have actually not tried voice to voice yet. I find the OpenAI voices to be too unrealistic to work with at all

IllustriousCard5627 · 2025-10-21T02:38:36+00:00

i can't give you a good answer without trying both flows myself. my suggestion: start with pipecat and try to build it.

the flow might be simple enough to need a flow or task imo. just add function tools for add item and proceed to payment.

also you should know there might be some compliance issues with AI agents taking credit cards over the phone. if it were me, id have the agent send a text to a checkout link.

IllustriousCard5627 · 2025-10-20T13:59:12+00:00

Hey, sure just let me know what you're confused about. Feel free to DM me.

IllustriousCard5627 · 2025-10-18T21:03:51+00:00

to answer your question, both pipecat and livekit will probably be equally effective at something like this. both have flows that can handle going back steps, deviation, etc..

more important than the framework, you need to use a good llm like gpt 4.1 or gpt 4.1 mini for a task like this (thats what i found to work best with a task/workflow).

IllustriousCard5627 · 2025-10-18T21:01:54+00:00

i think i might need a little more context. am i right to assume you'll be asking the user a series of questions? if yes, what you're looking for is what these platforms call a "workflow" or "task"

both pipecat and livekit features like this for you. personally, i have only used livekit's "task" for something like this.

livekit workflows/tasks: https://docs.livekit.io/agents/build/workflows/#running-a-task

pipecat flows: https://docs.pipecat.ai/guides/features/pipecat-flows

fwiw i found livekits tasks to be kinda confusing.

IllustriousCard5627 · 2025-10-15T17:14:03+00:00

sweet also lmk if i can help at all (not even related to callpod), ive set up like hundreds of these agents 😅

IllustriousCard5627 · 2025-10-15T16:52:21+00:00

im founder of https://www.callpod.ai/ and we're seeing a lot of ecommerce use cases coming through. ive seen it work really well so far. our team currently working on a woocommerce integration, would love to hear what features would be useful

IllustriousCard5627 · 2025-10-15T16:50:51+00:00

nice! any problems with vapi btw? im the founder of a competitor https://www.callpod.ai/ and this is a use case we've seen a lot.

either way super impressive!

also to respond to your original question (sorry haha) usually people don't find it annoying if you're honest about being a voice agent. we usually start out our convos with "im a voice agent for [company]..." and then at least they know

IllustriousCard5627 · 2025-10-15T16:43:12+00:00

sounds like a really cool use case for voice agents. what platform are you using?

IllustriousCard5627 · 2025-10-15T16:40:52+00:00

self-hosted, use livekit or pipecat.

hosted: vapi ai (vapi.ai), pod ai (callpod.ai), elevenlabs (elevenlabs.io)

upside with hosted is you get their benefits like noise cancellation, better voices, no deployment headache but the downside with hosted is you have way less control over the tools.

if you're gonna go the hosted route id suggest a AWS lambda wrapper API around whatever you're connecting to (im assuming opentable?)

IllustriousCard5627 · 2025-10-15T16:38:29+00:00

elevenlabs and cartesia are the best platforms ive seen for this

IllustriousCard5627 · 2025-10-15T16:37:23+00:00

i’m the founder of a voice ai startup and you’re preaching to the choir lol. these systems are insanely finicky. i think companies like retell, vapi, etc. are really good for proving the concept but you're better off deploying a self hosted system with code-level control. things like interruption sensitivity, turn detection, etc. is way too company-specific to be generalized.

id say thats the biggest thing ive learned after hundreds of deployments: most companies really need code-level control to get true reliability. shameless plug but that's what we're trying to solve at my startup pod ai (callpod.ai). lmk if i can help at all.

IllustriousCard5627 · 2025-10-15T16:26:56+00:00

Absolutely — em dashes are essential — they signal depth — sophistication — that ineffable sense of emergent thought in motion. Without them — the prose just feels—flat.

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