EasyFastAI
One AI agent for WhatsApp, web, email & voice - 24/7
What it does
Automate customer replies, qualify leads, and hand your team sales-ready conversations 24/7. One agent spans WhatsApp, web, email, Telegram, Instagram, Messenger and voice, switching between GPT, Claude and Gemini with automatic fallback. It doesn't just chat - it books calendar slots, logs lead to Sheets, sends Stripe payment links and more. When a human's needed, handoff drops them into a full shared inbox: SLAs, macros, saved views, team routing and an AI copilot. Free plan, 5-min setup.
Automate WhatsApp replies, qualify leads, and give your team sales-ready conversations in Arabic and English - 24/7.
EasyFastAI answers questions, books appointments, qualifies leads and even picks up WhatsApp voice calls — then hands warm conversations to your team. Arabic and English, 24/7. Build it on your own content, test it against real questions, deploy it everywhere your customers are, and watch it get better. Upload files, paste text or point it at your site. Your agent answers from your knowledge base — grounded in your content, not the open internet. Choose from OpenAI, Anthropic and Google models in one catalog and check every answer cites your own documents before you go live. Drop one script tag on your site, then flip on WhatsApp, Telegram, Instagram and more — the same agent, everywhere at…from easyfastai.com
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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