{{first_name | Leader}}, welcome back. Today’s updates:
Build secure MCP Auth with OAuth 2.1 with WorkOS*
Airbnb CEO on AI and Gen Z jobs
Grammarly rebrands to Superhuman and adds an AI Assistant
Nvidia expands AI partnerships in South Korea
Tools, resources, and a prompt turn a repetitive team task into a simple AI-driven automation. ⬇️
Securely authorizing access to an MCP server is complex. You need PKCE, scopes, consent flows, and a way to revoke access when needed.
This guide from WorkOS explains how to implement OAuth 2.1 in a production-ready setup, with clear steps and examples.
WorkOS Connect and AuthKit handle the full flow from authorization to token management.
Airbnb CEO on AI and Gen Z Jobs
Airbnb’s CEO Brian Chesky says AI is automating many entry-level roles, but companies still need to hire young workers to build future leadership pipelines. He warns that cutting early-career roles may solve short-term efficiency, but risks long-term capability.
Data shows early-career Gen Z employees at major tech firms have dropped from 15% in 2023 to just 6.8% in 2025. Experts say that without entry-level hiring, companies will struggle to train future leaders, especially in functions like sales and operations that depend on mentorship and hands-on learning.
Grammarly Rebrands to Superhuman and Adds AI Assistant
Grammarly has rebranded its parent company to Superhuman after acquiring the email client of the same name earlier this year. The Grammarly product will keep its name, but the company is rolling out a new AI assistant called Superhuman Go built into the Grammarly extension.
The assistant can draft emails, schedule meetings, and log tickets by connecting with tools like Gmail, Jira, and Google Calendar. Superhuman plans to add more AI features across its suite, including Coda documents, and compete directly with productivity platforms like Notion and Google Workspace.
Nvidia Expands AI Partnerships in South Korea
Nvidia announced expanded AI partnerships with Korean tech leaders, including Samsung, Hyundai, SK Group, and Naver. Together, they will deploy more than 260,000 of Nvidia’s AI GPUs across public and private sectors in South Korea.
Samsung will build an AI Megafactory using Nvidia chips to boost semiconductor and robotics development. Hyundai is teaming up with Nvidia on autonomous systems, while SK and Naver are developing enterprise AI clouds and physical AI platforms that connect digital and industrial systems.
Useful Resources
78% of enterprises are struggling to integrate AI with legacy systems
Key newsletter trends shaping how brands build audience trust and engagement today.
Comparison of top AI agent builders helping teams deploy automation faster and smarter.
Insights on how real-time collaboration improves decision-making and cross-team efficiency.
Practical framework outlining what to expect from a new VP of Customer Success in their first 90 days.
Get featured tomorrow: How do you use AI for business/personally?Interesting stories will be shared with 100K curious readers.
Productivity Tools
🧑💻 GenAI Lunch: Visibility & Optimization with AWS & nOps*
🗂 Softr – Turn Google Sheets or Airtable into polished portals and internal tools without code.
🧑💼 Emma AI – Build role-specific AI assistants that pull from Slack, email, and CRMs in minutes.
🏦 FuturePlan – Design retirement plans that maximise tax savings for founders and senior execs.
💰 Funding
Bluwave raised $14M to expand its AI-driven market network connecting private equity firms with service providers.
FrontlineIQ raised $3.3M to build an AI coaching platform that improves performance for in-person sales teams.
💼 Roles in AI
🐦 Google owns every AI layer?
Google quietly owns every layer of AI.
1/ Models → Gemini, DeepMind
2/ Compute → TPUs
3/ Data → Search, YouTube, Gmail, Maps
4/ Distribution → Android, Chrome, AdsEvery search trains the model.
Every model sharpens the data.
Every click strengthens the loop.That’s how
— #Aadit Sheth (#@aaditsh)
3:56 PM • Oct 31, 2025
Workflow Automation Blueprint
When to use this?
When you want to turn a repetitive team task into a simple AI-driven automation.
You are an Automation Architect.
I’ll describe a recurring workflow from our team.
Your job:
Map the exact steps involved.
Show where AI or automation can replace manual effort.
Suggest which tools or APIs (Zapier, Make, GPT actions, Sheets, internal bots) could implement it.
Provide a 1-sentence setup plan for each automation.
Output format:
| Step | Automation Method | Tool / Integration | Setup Plan |Correct Input Style:
“Our sales team manually updates leads from HubSpot to a shared spreadsheet every Friday, then emails summaries to regional heads. We want to automate this end-to-end using AI or no-code tools.”
P.S. Get more such prompts in the Prompting Playbook (free for you)
Q. Would you trust an AI agent to manage 50% of your sales outreach in 2026?
Results: Over 63% of AI leaders would trust an AI agent to manage 50% of their sales outreach in 2026 if ROI is proven.
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.