The voice agent it generated isn't a glorified FAQ bot. It takes reservations. Modifies them. Handles special requests. "Party of 6, Saturday at 7, one guest has a shellfish allergy" Done. Synced with OpenTable.
@godofprompt
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Agent Wizard by PolyAI builds voice agents from websites
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The tool is called Agent Wizard by PolyAI. And they just opened a waitlist for Agent Wizard. You give it a URL. It reads your entire site. FAQs, product catalog, store hours, contact info, policies. Everything. Then it builds a voice agent that can actually answer customer
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AI voice agent builder for websites in under 10 minutes
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Are call centers cooked? This tool builds a voice agent in <10 mins for any website. Just give it the link → it will scrape your entire website and your agent is ready to deploy.
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From prompts to voice: AI’s evolving interaction model
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Prompt engineering taught us how to talk to AI.
— God of Prompt (@godofprompt) 17 février 2026
Voice-to-action is teaching AI how to work for us.
The shift from "type a prompt, get an answer" to "say what you need, watch it get done" is happening whether you're paying attention or not.
The people who skip this will wonder… pic.twitter.com/frpsPeFjluPrompt engineering taught us how to talk to AI.
Voice-to-action is teaching AI how to work for us. The shift from "type a prompt, get an answer" to "say what you need, watch it get done" is happening whether you're paying attention or not. The people who skip this will wonder -
Lemon AI outperforms Siri in email task
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I've been testing Lemon AI https://t.co/bnFJTnC9K3 and I'll say it: this is what Apple should have built instead of burning billions on Siri.
— God of Prompt (@godofprompt) 17 février 2026
Press fn. Say what you want. Watch it happen directly in your apps.
→ Replied to 14 emails in 12 minutes without touching the keyboard… pic.twitter.com/hhSs5iWvqXI've been testing Lemon AI http://
heylemon.ai and I'll say it: this is what Apple should have built instead of burning billions on Siri. Press fn. Say what you want. Watch it happen directly in your apps. → Replied to 14 emails in 12 minutes without touching the keyboard -
Voice-to-text vs voice-to-action AI tools compared
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Most people confuse voice-to-text with voice-to-action. They are not even in the same category.
— God of Prompt (@godofprompt) 17 février 2026
WisprFlow turns your voice into words on a screen. You still decide where they go.
HeyLemon turns your voice into finished work.
You say "reply to John's email about the pricing… pic.twitter.com/Vqh214iJNnMost people confuse voice-to-text with voice-to-action. They are not even in the same category. WisprFlow turns your voice into words on a screen. You still decide where they go. HeyLemon turns your voice into finished work. You say "reply to John's email about the pricing
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AI email workflow inefficiency critique
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Here's what your "AI workflow" actually looks like:
— God of Prompt (@godofprompt) 17 février 2026
Open ChatGPT. Type a prompt. Wait. Copy the output. Switch to Gmail. Paste. Edit. Send.
That's 6 steps and 3 tab switches for one email reply.
Harvard and BCG research confirmed AI users finish tasks 25% faster.
But nobody… pic.twitter.com/eXuGQOxceBHere's what your "AI workflow" actually looks like: Open ChatGPT. Type a prompt. Wait. Copy the output. Switch to Gmail. Paste. Edit. Send. That's 6 steps and 3 tab switches for one email reply. Harvard and BCG research confirmed AI users finish tasks 25% faster.
But nobody -
xAI Grok 4.20 features four parallel expert agents
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BREAKING: xAI just dropped Grok 4.20 and it’s a team of 4 university professor–level agents This is not a normal model release. It’s four specialized agents running in parallel, reasoning together before you ever see the answer. Not one brain guessing.
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Voice-to-action agents to reduce input friction
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Voice-to-action is where the agent layer is heading.
— God of Prompt (@godofprompt) 17 février 2026
Most people underestimate how much productivity leaks through input friction. Typing, tab switching, copy pasting between apps. None of that is actual work. It's overhead.
The teams solving that friction layer will own the… https://t.co/wfiLPZctOOVoice-to-action is where the agent layer is heading. Most people underestimate how much productivity leaks through input friction. Typing, tab switching, copy pasting between apps. None of that is actual work. It's overhead. The teams solving that friction layer will own the
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AI models as adversaries vs tools in prompt engineering
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Here's what all 7 have in common: They treat the model as an adversary to outsource thinking to not a tool to get quick answers from. The top engineers aren't writing better prompts. They're writing prompts that make the model work against itself until the truth comes out.