Good morning!
In a few minutes, here’s what you’ll learn today. We’re unpacking fin.ai, the customer support tool thats been saving teams hours every day by handling the tough stuff without code. Plus, Microsoft just locked down 200,000 AI chips in a massive infrastructure play, Google’s leaked calendar hints Gemini 3.0 might drop next week, Anthropic paid $1.5 billion to settle its copyright mess, and consultants are building AI agent armies to fix workflows no human wants to touch.
In Today's Edition
Today’s AI Tool Breakdown: Fin.ai
Quick overview
Fin.ai is an AI customer support agent that answers questions, solves problems, and handles complex tasks across email, chat, phone, and social channels without writing code. Think of it like hiring a teammate who never sleeps and gets smarter every day.
How to use it
Sign up for a 14-day free trial at fin.ai (no credit card needed).
Connect Fin to your help center or knowledge base so it knows what to say.
Click Train in the dashboard and add common customer questions as examples.
Set up Tasks by telling Fin step-by-step what to do (like "Check order status" or "Process refund").
Turn on Audience targeting so Fin only talks to the right customers at the right time.
Hit Deploy and watch Fin start answering questions live in your chat or email.
Copy/paste starter script
Open your Fin dashboard, click New task, and paste: "When a customer asks about their order, find the order number, check the status, and tell them the expected delivery date."
Real-world use cases
E-commerce teams use Fin to track orders and process refunds without waiting for a human agent.
SaaS companies let Fin answer billing questions and troubleshoot account issues in seconds.
Healthcare providers use Fin to handle appointment scheduling and insurance queries while keeping data secure.
Banks deploy Fin to help customers check balances, flag fraud, and explain transactions instantly.
Pro tips
Start small by letting Fin handle just one or two simple question types, then expand as you see results.
Use the Simulate feature to test Fin on old tickets before going live.
Review Fin's answers weekly in the Optimize dashboard and approve AI-suggested improvements with one click.
Free vs paid
Free: 14-day trial with full access to all features, including Fin AI Agent and Copilot.
Paid: $0.99 per resolved conversation after the trial, plus a base plan starting at $29/month per seat (Essential, Advanced, or Expert plans available).
Alternatives
Zendesk AI — great if you're already using Zendesk, but Fin handles twice as many complex questions.
Ada — strong for no-code chatbots, but less flexible with multi-step workflows.
Freshdesk AI — solid budget option, though Fin's resolution rates beat it in most tests.
Quick demo video
https://www.youtube.com/watch?v=cSF-bIaDujU
Today In AI News, The Top 4 Stories (And Why They Matter)
This matters because: Big tech is building the plumbing for the next wave of AI apps, and this deal shows Microsoft is betting billions on having enough computing power when everyone else runs out.
Quick summary: British startup Nscale will supply around 200,000 Nvidia GB300 chips to Microsoft across data centers in Texas and Portugal starting in 2026. The deal could be worth up to $14 billion and gives Microsoft an option for 700MW more capacity in Texas by late 2027. It's like Microsoft just reserved enough brainpower to run entire cities.
This matters because: If the leak's real, Google's about to roll out its answer to GPT-5 and Claude Sonnet 4.5, and it could shake up which AI tools people reach for first.
Quick summary: A leaked internal document shows Google planning to announce Gemini 3.0 on October 22, with testing that started back in August. The new model should bring speed and cost improvements, plus better coding and agent abilities. Think of it like Google tuning the engine before a big race.
This matters because: This is the biggest copyright settlement in U.S. history, and it proves AI companies can't just grab content from pirate sites without paying the price.
Quick summary: Anthropic agreed to pay $1.5 billion after authors sued over Claude being trained on illegally downloaded books. Authors whose works are in the database will get around $3,000 per book (split with publishers). The settlement got preliminary court approval in September and sets a new bar for how AI companies source training data. It's like getting caught copying homework and having to pay everyone in class.
This matters because: Big consulting firms are proving AI agents can actually work at enterprise scale, saving clients time and money on boring tasks no human wants to do.
Quick summary: PwC announced it's deployed over 250 AI agents built on Google's Gemini Enterprise platform, handling everything from store operations to compliance checks across Europe, the Middle East, and Africa. The agents use PwC's "agent OS" to connect tools and cut deployment times by up to 10x. Think of it like building a robot army that works weekends and never complains.
Thats All For Today!
For all questions, comments, concerns, or if you want us include anything specific - feel free to reply to this email! We will answer 😄