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68 contributions to AI Automation Society
Why Most Voice AI Fails -And What a Good One Actually Looks Like
Not all AI voice agents are the same. Here's how to tell the difference 👇 A BAD AI voice agent: ❌ Sounds robotic - callers know immediately it's not human ❌ Has 2-3 second delays before every response ❌ Breaks down the moment someone goes off script ❌ Can't handle objections or follow-up questions ❌ Loses the caller's trust in the first 30 seconds ❌ Feels like a worse version of a phone menu A GOOD AI voice agent: ✅ Sounds genuinely human - natural tone, natural rhythm ✅ Responds instantly - no awkward pauses ✅ Handles real conversations, not just scripted ones ✅ Qualifies, books, and follows up without breaking flow ✅ Builds trust instead of destroying it ✅ Works harder than any receptionist you've ever hired The difference between the two isn't just user experience. It's the difference between a tool that converts and one that drives customers away. Most voice AI on the market right now falls into the first category. That's exactly why we built Convoi.ai - obsessing over latency, natural conversation flow, and real-world call performance. 500 free minutes. Zero setup cost. Try it and feel the difference yourself. Drop a comment or DM me 👇
0 likes • 11d
The breakdown always happens when callers go off script, not just on voice quality or speed. How does your system actually handle a real off script objection that isn’t in the training data?
Day2 - Firecrawl failed.
For some unknown reason, firecrawl failed. See error code. I did ask for support from Firecrawl. Awaiting an answer for support. In the meantime, can anyone help?
Day2 - Firecrawl failed.
0 likes • 11d
The scrape function stalled on loading. Did you try a different URL to see if it’s the specific page?
Just finished my 1st AI animated short— where to improve?
🔥 Just finished my 1st AI animated short. Would love your thoughts. "The Beast That Feared a Tiny Firefly: Luma's Brave Journey" The reference frames and a few shots were made using Google Flow, and the maximum scenes were made using OpenArt.ai. Everything from the bioluminescent forest to the Shadow Beast was generated through prompt engineering. A few things I'm still figuring out and would love feedback on: → Fighting scenes- struggling with it. → The emotional pacing — does the ending land for you? → Anything about the visual style that feels off For most of the scene prompts, I used a 6-part prompt formula [Subject + Action + Setting + Camera + Style + Audio] with reference images method between clips to keep the world consistent.
2 likes • 12d
The fight scenes look stiff in some shots. What’s your signal that the emotional pacing is actually landing for viewers, not just for you?
0 likes • 11d
@Hasib Hasibul Tracking for comments about Luma’s fear or the color-drain is a clear metric, but it’s fragile if your audience is small or not primed to talk about story beats. If you get mostly surface-level feedback, how will you know if it’s a pacing miss or just the wrong audience segment?
A lead generation workflow I help businesses with - example
Hello, I thought I'd try to share some value here, so I'm sharing how i generally set up a lead generation workflow and how I walk through a business to build it for them. Each lead generation workflow is similar from business to business. I've found it to be true across multiple niches, BioTech, AEC / MEP (Mechanical/electrical engineering), Life Coaching, and Drone surveying... The workflow is typically 4 Phases - Gathering -> Filtering -> Researching -> Delivery Gathering - The gathering phase is typically done through an API or web fetches. If an API is available, this is usually the most reliable. Any common model can do a web fetch, but it's less deterministic. You will also need sources for the web fetch and API. You would determine this based on the clients typical sources (websites) and/or doing quick market research to determine where the ideal leads reside. I typically don't use filters in this phase unless really broad filters can be applied (Gather anyone who has a particular title CEO, P.E. Mechanical Engineer, etc.), otherwise agent web fetches can have large bottlenecks. API filters in the phase can be useful, but make sure your agent knows the correct parameter values for the particular API. It's useful to find the page where it describes the API parameters and give it to your agent when it's building. Web fetches gather the whole page data, so you'll want your agent to know "I'm looking for people on this website and their contact info, email, phone, title, etc." Have it output into an MD file or something simple for the agent to read. This trims down so the filtering agent can work with less noise. (Tell the agent to include the URL/Link to the particular person) Filtering - This phase is pretty self explanatory, it filters the leads you've gather based on the companies parameters. When talking with the client, you'll want to ask a series of questions to figure out what truly makes a good lead for them / a good client. Often times, they don't know, so you'll have to do some questioning (not interrogation hah).
2 likes • 12d
Filtering gets tricky when clients can’t define a good lead. How do you handle cases where their criteria keep changing during a project?
Brutal Reality Most People Won’t Admit
Most people on LinkedIn are lying. Not about big things. About progress. They say: “Building something big 🚀” “Consistency is key 💪” “Just closed a deal 🎉” But behind the scenes? No clients. No revenue. No real system. Just dopamine from posting. Here’s the truth nobody wants to admit: You don’t need more motivation. You need uncomfortable execution. The kind where: • You send 50 cold DMs and get ignored • You follow up even when it feels awkward • You build something before you feel “ready” Because likes don’t build businesses. Attention doesn’t equal money. And “learning phase” can become a hiding place. I learned this the hard way. The moment I stopped consuming and started doing daily outreach… Everything changed. Not overnight. But finally, things started moving. If you’re stuck right now, ask yourself honestly: Are you building… or just talking about building? Be real. What’s one uncomfortable action you’re avoiding right now?
1 like • 12d
The outreach part sounds brutal for most. What do you do when 50 DMs get zero replies three days in a row?
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@shahbaz-hussain-3158
AI Dev. with chunks of designs

Active 11d ago
Joined Aug 11, 2025
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