<p>Most developers underestimate how hard voice AI actually is.</p> <p>To build a production-ready calling agent, you need to integrate:</p> <p>– SIP signalling</p> <p>– Real-time
<p>A website chatbot can answer questions, but what happens after the conversation ends?</p> <p>Does the business know who was interested? Can the team review what the visitor
<p>I've been running <a href="https://github.com/openclaw/openclaw" rel="noopener noreferrer">OpenClaw</a> as my personal AI assistant for a while — text-based, the usual way. It
<p>Most AI tutors today feel like glorified chatbots with a text-to-speech layer slapped on top. But what if students could actually <em>talk</em> to their tutor, pause
<p>Let's be real: the current AI coding workflow is tedious. </p> <p>You hit a bug. You copy your code. You tab out to ChatGPT/Claude. You paste it. You copy the fix. You paste it
<p><em>This is a submission for the <a href="https://dev.to/challenges/hacktoberfest-week2-2026-10-12">Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle</a></em></p> <h2>
<p>Every browser agent does the same expensive thing: dump the entire DOM into an LLM, ask "what should I click?", and repeat for every step. A 10-step workflow costs ~$4 in LLM
<p>I spent <strong>3-4 weeks</strong> building an AI voice agent that cold-calls HVAC owners for me. Real outbound. Real objection handling. Real appointments booked. When we
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