{{first_name | Leader}}, welcome back. Today’s updates:
Think, plan, and scale AI agents with MongoDB.*
Adobe launches “Adobe AI Foundry” for custom generative-AI models
Meta lays off 600 from ‘bloated’ AI unit
IBM, Groq collaborate on high-speed AI inference in business
Tools, resources, and a prompt to see how your AI initiatives are affecting revenue and cost ⬇️
Build Custom Generative AI Models
Adobe just introduced Adobe AI Foundry, a new service that helps companies build their own generative AI models using brand assets, internal data, and creative IP.
It’s built on top of Adobe’s Firefly models and works across text, image, video, and even 3D. Pricing is usage-based, which means companies pay for what they create instead of per seat.
What stands out
Custom creative models: Teams can train Firefly on their own brand data to generate content that actually feels on-brand.
Works across formats: From campaign visuals to 3D scenes, it’s designed to handle the full creative mix.
Flexible pricing: Shifting to usage-based billing makes costs easier to tie directly to output.
Built for enterprises: Adobe is pitching this as a partner play for creative and marketing leaders, not just another software upgrade.
Why it matters
I see this as a turning point for enterprise AI. Brands finally get to own how AI represents them instead of relying on generic models. It’s a big step toward bringing creativity, scale, and brand control into one workflow.
The next test will be in how teams manage these models responsibly and plug them into existing creative systems without slowing down production.
In other news
Meta is cutting about 600 jobs from its Superintelligence Labs as part of an ongoing reorganization. The company recently invested heavily in top AI talent but is now streamlining to reduce bureaucracy and increase individual impact.
IBM partnered with Groq to provide ultra-high-speed, low-latency AI inference for enterprise clients, enabling faster and more cost-efficient AI deployments at scale. This partnership addresses critical infrastructure needs for real-time AI workloads in large organizations.
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Useful Resources
How to drive agentic productivity using Slack’s native AI features.
Use contextual AI to solve work-sprawl and keep your team focused.
Explore why the agentic AI hype-cycle is out of control yet normalized.
Learn how to create summary reports in Excel to streamline data workflows.
Five interesting learnings from Klaviyo at $1.2B ARR on growth and retention.
Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.
Productivity Tools

AppSheet – Build no-code mobile apps that tap live data and auto-trigger workflows in minutes.

Ellipsis – AI reviews pull requests, fixes bugs on-the-fly, and coaches devs toward cleaner patterns.

Power Apps – Drop AI-powered forms and dashboards into legacy systems without rewriting backend code.

Frase – Generates SEO-ranked briefs and auto-optimises articles for the keywords buyers actually search.
💰 Funding
Uniphore raised $260M to advance its leadership in enterprise “business AI.
Anrok raised $55M to expand its global sales-tax compliance platform for fast-scaling digital businesses.
💼 Roles in AI
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Save this one.
— #Aadit Sheth (#@aaditsh)
7:37 PM • Oct 22, 2025
One-Page AI Impact Assessment
When to use this?
You need to see how your AI initiatives are affecting revenue, cost, productivity, and risk across the enterprise.
You are the Chief Strategy Officer preparing an AI performance brief for the executive board.
Create a one-page summary that quantifies and explains the business impact of our current AI initiatives.
Include the following sections:
Portfolio Overview: 3–5 major AI programs currently in operation.
Financial Impact: estimated ROI, cost savings, and revenue uplift per initiative.
Operational Metrics: process speed, accuracy, and productivity improvements.
Risk & Compliance: data exposure, regulatory readiness, and audit trail status.
Strategic Outlook: next-quarter priorities and one-line executive recommendation.
Format in clear sections with short bullets or a table, keeping the total length under 300 words.
Correct Input Style:
Add concise, factual context before running:
Eg: “We’re a $3B SaaS enterprise with AI in customer support, finance, and marketing. Leadership wants a one-page impact view covering ROI, efficiency gains, and any regulatory risks from model deployment.”
P.S. Get more such prompts in the Prompting Playbook (free for you)
Q. Which AI browser are you most excited about?

Results: Over 47% of voters said they are most excited about Atlas by OpenAI, launched this week!
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.