⚡ How to reduce alert overload in Cortex XSOAR with #ANYRUN#. #ANYRUN# integration allows XSOAR playbooks to submit suspicious files and URLs to Interactive Sandbox automatically — verdicts and behavioral context land in the incident without analyst involvement. TI Lookup enriches indicators from within the incident. TI Feeds keep detection current as infrastructure rotates.  🎯 Analysts focus on high-priority incidents without the manual overhead that slows them down. More use cases:

Google is prototyping "Rooms" inside Gemini Enterprise - shared spaces where teams set goals and playbooks for Gemini to follow and keep everyone aligned. Less chat interface. More AI-run war room.

SpaceXAI has built an entire Grok Bot Guides library showing how people are actually using AI agents as real teammates These are practical playbooks from people already running Grok Bot for: • Mobile app development • Product management • Design • Enterprise GTM • Managing multiple teams of agents And these are not just chatbot workflows Each Grok Bot can have its own role, memory, cloud computer, connected tools, recurring routines and learned skills, then hand work directly to other specialized bots One example runs a six-bot mobile game studio across analytics, creative, engineering, infrastructure and bug fixing Another has a PM running a Chief of Staff, engineering manager, five engineering agents, data analyst, product agent and recruiter There are even setups where entire projects get their own channel, roster of bots and Notion board, basically organizing AI agents like a human team This is probably one of the most useful resources SpaceXAI has published for understanding what working with a real team of AI agents actually looks like You can check out the entire library here:

Best framing I've heard for why the private markets look unhinged right now: the clear SaaS playbooks of the past 10-15 years don't work anymore. What looks like irrationality is some mimesis, sure, but also rapid experimentation to find frameworks for the new era.

Solutions architects at TRM own the full deployment lifecycle — from initial scoping through scale-out and the reusable playbooks that come out the other side. Learn more about how our solutions architecture team works in our latest team spotlight from Richard Bakare (Manager, Solutions Architecture at TRM). 👉

I’m looking for a 10x GTM lead for my team. Someone who has and wants to define GTM playbooks for a 0-1 product that’s going to change the way India works with documents. If you’re crazy about distribution, measure every single feedback in numbers, are always on a lookout to reach more customers, are always finding ways to narrow down your ICP definition, are greaat at talking to customers to understand what they’re not saying, this role is for you. 5-7 years of experience only. DM me.

Lighthouse or Landgrab: Choosing Your AI Sales Strategy In this conversation, a16z's Joe Schmidt, Andy McCall, and Elena Burger sit down to discuss the lighthouse and landgrab playbooks for selling enterprise AI: win marquee logos so proof travels, or win budgets that already exist. They cover: - How companies like Harvey and Applied Intuition run the lighthouse playbook, while Stuut, Decagon, and Pylon use the landgrab strategy - How Andy built Meraki's sales org and then took Samsara from single-digit millions to >$1B ARR as CRO - Why you should spend 1% of your time on sales strategy and 99% on execution - How to hire the right sales org based on your strategy 00:00 Intro 00:58 Lighthouse or Landgrab? 02:36 Buyer exposure and proof that travels 06:31 Samsara's ELD landgrab 09:58 Sell to whoever will buy 13:26 Examples like Stuut and Harvey 16:28 Pylon & climbing the ACV ladder 18:21 Meraki's free-access-point playbook 21:39 Your proof of concept shouldn't be a science project 26:46 Why most companies need both playbooks 29:53 Hiring for lighthouse vs. landgrab 33:54 The return of big software 37:32 1% strategy, 99% execution 38:58 Advice for sales careers @joeschmidtiv @VirtualElena