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New Claude Fable 5 Model
Back to posting here. Sorry it's been a while. Most of us reading this post will never get to use Mythos, but luckily Anthropic decided to release a version with a ton of safety guards (Fable) The benchmarks look strong, especially the jumps in vision and code. Curious how Gemini 3.2 and the next GPT models stack up. Working in the Risk & Compliance space, my daily prompts deal with fraud and money laundering. With the new safety filters, and since I'm not in Anthropic's special program, those exact queries may get rerouted to Opus 4.8 or blocked outright. The tool built to catch bad actors might end up flagging the people fighting them. I broke down the full release, press notes, and system card in a new 20-minute video https://www.youtube.com/watch?v=TtCWqjy3T5M&t=3s
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17 Hour FREE n8n v2 Course is out now!
All of the resources for the course are in the classroom Excited to share with you what I worked on over the past few weeks https://www.youtube.com/watch?v=TZ43SRdTMs0
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Let's Break The Ice 🧊
Drop a comment below and share: 1) A career goal you're working toward 2) A personal goal that matters to you 3) Your favorite music artist right now Let's get to know the people behind the profiles. I'll go first in the comments! 👇
n8n Podcast is live
Had the opportunity to join Dylan on the most recent n8n Podcast where we talked about Claude Cowork and how it integrates with n8n I feel like a ton of companies have been rolling out claude to employees, so if you want to advance your skills in 2 areas, check it out Have a few other vids with the n8n team coming out soon https://www.youtube.com/watch?v=m5nwIZFZ6ZE&t=1s
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How I automated 5 core restaurant operations with AI agents — modular architecture breakdown
Hey everyone 👋 Finished a portfolio project I'm excited to share — a Restaurant AI Suite that automates 5 core areas of restaurant operations. The problem it solves: Restaurant owners spend hours every week on tasks that can be fully automated — checking reviews, handling bookings, monitoring stock, promoting the menu. This system handles all of it. 🍽️ What it does: → Monitors reputation on Google Maps, TripAdvisor & Yelp — AI sentiment analysis every 6 hours → Handles reservations via Telegram bot — auto-confirms by email, sends reminder 24h before → Recommends menu items daily based on live weather conditions → Checks inventory and sends low-stock alerts before items run out → Analyzes dish photos with AI vision and generates professional menu photos with DALL-E 3 All results go into a live dashboard the owner can check from their phone. 💡 The key design decision: modular architecture. Each agent is an independent n8n workflow. The client can start with 1 agent and add more over time — without touching existing workflows. Need a guest return engine? Delivery bot? Social media poster? Each one slots in as a new agent. This is the approach I use for all client projects now — start small, expand modularly. Full project on GitHub: github.com/Evgeniy1970-ai/restaurant-ai-suite Portfolio: neolithai.netlify.app Has anyone here built automation for HoReCa clients? Would love to hear what challenges you ran into.
How I automated 5 core restaurant operations with AI agents — modular architecture breakdown
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