🌐 Learn how to turn AI prompts into revenue and scale a GenAI app to $100K ARR in a free live workshop led by Vishal Virani, CEO of Rocket. and you can save your spot now.
{{first_name | Leader}}, welcome back. Today’s updates:
Free workshop on turning a prompt into a revenue-producing GenAI app to $100K ARR.*
EU prepares to scale back key rules in its AI Act
Tech market sees nearly $1T erased in valuation drop
Perplexity and Snapchat move forward with a major search partnership
Tools, resources, and a prompt to get a quick summary from a long analytics, campaign, or performance report. ⬇️
Join Vishal Virani, Founder & CEO of Rocket, for a free live workshop: “How to Go from Prompt to $100K ARR.” Vishal leads a $15M-funded startup that has empowered over 600K users across 180 countries to build millions of apps using Rocket’s vibe solutioning platform.
In 60 minutes, you’ll get a roadmap to launch production-ready GenAI apps that generate revenue, control costs, and scale efficiently. Learn to pick the right price lane, translate $100K ARR into actionable targets, design workflows that deliver measurable outcomes, estimate unit costs, and implement hybrid packaging with Seats, Credits, and Overage.
See a live micro-demo showing how Rocket turns a prompt into an app, how “/” and “@” commands help execute repetitive tasks precisely and accelerate iterations across Day 0 (solutioning), Day 1 (getting started), and Day 2 (deployments).
Walk away with a checklist, templates, a simple GTM flywheel, and a special bonus offer to kickstart your AI app journey. Seats are limited—secure your spot today.
I’ve been following the EU’s shift closely, and it’s clear regulators are rethinking some of their strictest AI rules. They’re easing requirements that would have slowed down enterprise deployment and pushed up compliance costs. A lot of this comes from companies arguing that overly tight rules would hold back the region’s ability to compete.
For enterprise teams, this could reshape how you plan compliance, build AI products, and assess risk. Lighter rules mean faster rollout for high-impact systems that previously sat in restrictive categories. It feels like Europe is moving toward a more practical stance as AI becomes central to competitiveness.
The market pullback this week erased almost one trillion dollars in global tech value. Investors are recalibrating expectations around AI spending, especially for companies pouring huge capital into infrastructure without clear near-term returns. Boards are already becoming more selective about what gets funding.
For leaders running marketing, sales, and AI teams, this shift will tighten approval cycles. AI projects now need clearer ROI and shorter payback windows to move forward. This isn’t pessimism — it’s a correction toward what actually moves the needle.
Perplexity and Snapchat have just formalized a $400 million deal that makes Perplexity the core search layer inside Snapchat. The plan is to replace traditional search with AI-generated answers and better in-app discovery. It’s a strong signal of where consumer platforms believe search is heading.
For enterprise leaders, the impact is indirect but meaningful. Consumer behavior often shapes expectations inside business tools. If conversational discovery becomes normal in apps like Snapchat, users will eventually expect the same speed and clarity in enterprise workflows too.
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🌐 Join Vishal Virani, CEO of Rocket, for a free live workshop on how to turn AI prompts into revenue and scale your GenAI app to $100K ARR. Save a Seat.*

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Useful Resources
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💰 Funding
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Report Summarizer & Action Extractor
When to use this?
When you have a long analytics, campaign, or performance report, and need a quick summary.
You are a senior strategy analyst.
Review the report text I’ll paste below and create an executive summary with:
3 key takeaways (performance highlights or red flags)
Top 2 actions each for marketing, sales, and product teams
One-line summary suitable for a leadership update
Keep it under 200 words and format clearly with headers.Correct Input Style:
“Here’s the key data from our Q3 analytics deck:
Lead volume up 12%, but conversion rate dropped from 4.3% → 3.5%.
Website traffic stable, but demo requests fell by 8%.
Retention rate improved from 81% → 86% after AI chatbot launch.”
P.S. Get more such prompts in the Prompting Playbook (free for you)
Q. What is the biggest barrier to scaling AI across organizations today?

Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.
