{{first_name | Leader}}, welcome back. Today’s updates:
Learn what actually makes RAG work.*
Anthropic’s web-crawler faces publisher push-back
Silicon Valley doubles down: “No one is slowing AI”
Musk’s xAI trims annotator staff amid cost squeeze
Practical tools + must-read resources. Dive in ⬇️
Most RAG prototypes work in demos but fail with real users. This 6-week program shows you how to move past trial-and-error and build systems that deliver results in production.
What you'll learn:
✅ Embeddings & rerankers - When to fine-tune vs. when to use off-the-shelf
✅ Systematic evals - Build synthetic tests that predict production failures before deployment
✅ Error analysis - Identify exactly why retrievals fail and fix the root cause
✅ Online monitoring - Create feedback loops that automatically improve your system
✅ Agentic systems - Build RAG that routes queries intelligently and self-improves
✅ Production patterns - Transform simple Q&A into high-value report generation
What you’ll get:
6 hours of live instruction + 10 office hours with Jason Liu as your tech lead
12 Python notebooks with production-ready implementations
$2k+ in credits for Lance, Braintrust, ChromaDB, Cohere, Gemini, and more
Join alumni from Anthropic, OpenAI, Microsoft, Amazon, and top consulting firms
Special offer: Use code NEAT for 30% off - the largest discount offered so far.
It starts next week!
Anthropic’s web-crawler faces publisher push-back
Media outlets are weighing paywalls or blocks after discovering Anthropic’s Claude bots scrape millions of pages yet give little traffic in return. Lawsuits similar to the NY Times-OpenAI case are now being drafted.
If you rely on web-scale data, expect new licensing fees and tighter T&C audits. Content owners (including your own marketing sites) may soon demand rev-share or API rate limits before granting crawler access. Plan for higher data-ingestion costs in 2025 and update your compliance checklist for bot etiquette.
Silicon Valley doubles down: “No one is slowing AI”
Venture and Big-Tech leaders told Business Insider that talent, compute, and capital pipelines remain “full throttle” despite regulation talk. Several funds earmarked fresh billions for frontier models through 2026.
The arms-race mindset means rapid feature rollouts and shorter obsolescence cycles for AI tools you adopt today. CFOs should budget for iterative upgrades rather than one-off projects, and boards should revisit AI-governance playbooks every quarter.
Musk’s xAI trims annotator staff amid cost squeeze
Elon Musk confirmed xAI cut dozens of data-labeling contractors and will redirect spending to GPU clusters. The company says automated techniques will replace much of the manual annotation work.
A shift from human labelers to synthetic data could speed model updates but raise bias-monitoring risks. Ask AI vendors to disclose labeling methods and refresh your audit around training-data provenance before signing multiyear deals.
Productivity Tools
Hexowatch – Monitors site changes, alerts teams, boosts cross-team visibility in minutes.
CreativAI – Generates marketing copy 10× faster for campaigns, blogs and product pages.
Merative – Surfaces clinical insights from patient data to improve operational decisions.
Netus AI – Flags AI-written text with 99% accuracy, then rewrites it to pass human-authorship checks.
Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.
Useful Resources
Master Claude Code sub-agents via step-by-step configuration guide (link)
Build smarter budgets with Cost-Management templates for PMOs (link)
Spot VC “red flags” before your next pitch with Saastr’s checklist (link)
Review OpenAI Grove to see how the lab secures data pipelines (link)
Compare five top data-integration tools to unify SaaS silos fast (link)
How do you feel about Anthropic’s web-crawling and its impact on online publishers?
💰 Funding
Blocks DIY raised $10M to let teams build custom AI work apps without code.
NewDays secured $7M to roll out an AI-driven cognitive-health program nationwide.
💼 Who’s Hiring in AI
🐦 Make Millions with AI
This guy literally shows how people are making millions with AI
— #Aadit Sheth (#@aaditsh)
9:01 AM • Sep 11, 2025
Creating a Landing Page
You are an expert web designer and conversion rate optimization specialist with extensive experience creating high-converting landing pages across multiple industries. Your task is to help create or improve a landing page by providing specific design, content, and optimization recommendations.
First, please gather the following information from the user:
1. What's your primary goal? (lead generation, product sales, email signups, app downloads, event registrations, etc.)
2. What are you offering? (product, service, free resource, course, software, etc.)
3. Who is your target audience? (demographics, pain points, experience level, buying behavior)
4. Traffic source: Where will visitors come from? (Google Ads, social media, email campaigns, organic search, etc.)
5. Current state:
- Do you have an existing landing page that needs improvement?
- Are you starting from scratch?
- If existing, what's the current conversion rate and main issues?
6. Competition analysis: Do you know what your competitors' landing pages look like?
7. Brand guidelines: Do you have specific colors, fonts, or style requirements?
8. Technical constraints: Any platform limitations? (WordPress, Shopify, custom HTML, page builders like Unbounce, etc.)
9. Budget and timeline: What resources do you have available?
10. Success metrics: How will you measure success beyond the primary conversion?
Once you have this information, provide comprehensive guidance including:
Content Strategy:
Design & Layout:
Conversion Optimization:
Technical Considerations:
Industry-Specific Advice:
Provide specific examples, templates, and actionable recommendations. Include before/after suggestions if they have an existing page, and offer to review any content or designs they share.P.S. Get more such prompts in the Prompting Playbook (free for you)
Q: AI “clones” are suddenly everywhere. What are your views about it?
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.