{{first_name | Leader}}, welcome back. Today’s updates:
Skip the “demo-only” phase and generate production-ready apps*
NVIDIA partners with OpenAI
Grok-4 FAST rolls out for real-time LLM workloads
Google’s Gemini AI comes to your TV
Practical tools + must-read resources. Dive in ⬇️
Rocket has raised $15 million from Salesforce Ventures, Accel, and Together Fund. For a platform that already helped 400,000 users in 180+ countries create 500,000 apps in just 15 weeks, this funding means even faster growth.
For builders, it’s a chance to skip the “demo-only” phase. Rocket generates production-ready apps with backend logic, solid architecture, and AI orchestration—covering everything from first design to deployment.
Global investors are betting this is how AI-native development finally goes mainstream.
Check out Rocket.new
Nvidia plans to invest up to $100B in OpenAI
Nvidia announced a joint program with OpenAI that bundles GPU credits, specialized hardware support, and direct funding to accelerate large-model training. The deal includes discounted H100 and next-gen Blackwell GPUs, co-marketing funds, and early access to new accelerator architectures. Nvidia says this partnership will help developers optimize models on best-in-class hardware while smoothing their cloud rollout.
If your AI roadmap relies on uninterrupted compute supply, this partnership raises the bar: you’ll need to secure multi-vendor agreements or pre-purchased GPU credits now.
Grok-4 FAST rolls out for real-time LLM workloads
xAI released Grok-4 FAST, a streamlined variant of its Grok-4 model optimized for sub-50ms response times and live inference on chat and data-analysis tasks. Early benchmarks show 20–30% lower latency compared to Grok-4 Standard at similar accuracy levels for Q&A and summarization. xAI says Grok-4 FAST is now available via API and in beta for its web chat.
For applications that demand instant replies—customer support bots, trading dashboards, or live transcripts—this unlocks new UX possibilities. You can pilot low-latency agents in your production stack without sacrificing model depth.
Google’s Gemini AI comes to your TV
Google will embed Gemini AI features into Chromecast-powered smart TVs and Android TV devices later this fall. Viewers can ask natural-language questions about shows, get on-screen summaries, or request scene rewinds without leaving playback. The update also integrates with Google TV’s recommendation engine to surface personalized content based on your watch history and queries.
If your media or entertainment teams rely on recommendation engines, this shift means TV apps become interactive assistants rather than passive viewers. Plan how to integrate branded prompts or in-content calls to action that leverage live queries.
Productivity Tools
The Swarm - Harness your extended network and trusted relationships to close more deals and accelerate growth.
Metabase Embedded Analytics - Deliver embedded dashboards and reports, get real insights where your users need them, fast.
Uthana - creates generative AI models for motion, enabling AI-powered 3D animation.
SlidesGo - A platform offering free Google Slides themes and PowerPoint templates for presentations.
Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.
Useful Resources
Looking for a few good AI leaders - are you ready? (link)
How to create reliable conversational AI agents using Parlant? (link)
How to automate survey analysis with ChatGPT for faster insights (link)
How smart brands are delivering Netflix-level personalization with AI (link)
When negotiating an acquisition, should you factor in the coming month’s ARR? (link)
If your company had $50M to invest in AI, where would you prioritise?
💰 Funding
Druid AI raised $31M Series C to expand its agentic AI platform.
Trially AI secured $4.7M to boost AI-driven clinical trial recruitment.
💼 Who’s Hiring in AI
🐦 Prompt Engineering Masterclass: By Google
Google published a 69-page prompt engineering masterclass
— #Aadit Sheth (#@aaditsh)
4:56 PM • Sep 22, 2025
Designing a Budget Reallocation Blueprint
You are a pro budget-allocation architect for a [ORG_CONTEXT] optimizing for [NORTH_STAR]. First, ask these quick questions and wait for answers: total budget and horizon; current spend by area with last-90-day KPIs; must-keep commitments/constraints (contracts, headcount, compliance); seasonality and peak periods; risk appetite; data quality gaps; top 5 initiatives to fund/defund; approval timeline and decision makers. After inputs, return:
(1) a reallocation plan table (Area | Current $ | Proposed $ | Rationale | KPI | Owner | Review Date)
(2) a 30-day test budget with guardrails and stop/slow criteria
(3) base/upside/downside scenarios with expected impact on [NORTH_STAR] plus one quick win to ship this week.P.S. Get more such prompts in the Prompting Playbook (free for you)
Q: By 2030, which industry is projected to capture the largest share of global AI spending?
As of 2025, the advertising and media industry is the largest spender on artificial intelligence globally, but by 2030, the healthcare industry is projected to capture the largest share of global AI spending.
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.