{{first_name | Leader}}, welcome back. Today’s updates:

  • Stop AI Bots From Abusing Free Trials with WorkOS*

  • Google pilots Opal, a vibe-coding app

  • Meta asks Shengjia Zhao to lead super-intelligence R&D

  • AI referrals to websites soar 357% YoY

  • Practical tools + must-read resources. Dive in ⬇️

IN PARTNERSHIP

Free trials fuel growth, but bots and fake accounts exploit them, stealing tokens, burning compute, and skewing key metrics.

Teams like Cursor use WorkOS Radar to block abuse before it spreads with real-time defenses: device fingerprinting, brute force detection, and free trial abuse checks. Built with simple APIs and minimal engineering overhead, Radar keeps signup flows clean and real users protected.

NEWS UPDATES

Google pilots Opal, a vibe-coding app

Internal testers can describe an idea, and Opal generates a working web app with styling, data storage, and deployment hooks in minutes. Early users built simple CRMs and dashboards without touching React or SQL. Google is evaluating a public Beta for Workspace accounts.

This could let product and marketing staff launch tools without tapping engineering sprints. Track Opal’s rollout; it may change your build-versus-buy math for quick internal workflows.

Meta asks Shengjia Zhao to lead super-intelligence R&D

Meta promoted Stanford-trained researcher Shengjia Zhao to lead model research for its new super-intelligence group. Zhao will guide training on the next-gen data-center cluster coming online in 2026. The move follows Meta’s rapid hiring spree from OpenAI and Apple.

Meta is rolling elite talent into one team that will likely set benchmark speeds and model sizes. Procurement and partnership teams should monitor road maps and secure early-access slots before demand spikes.

AI referrals to websites soar 357% YoY

New analytics data shows AI assistants sent 1.13 billion visits to major sites in June, up from 250 million last year. Growth came mainly from answer engines and chatbots that insert links into conversational results.

CMOs should revisit attribution models and SEO playbooks. Optimising content for AI snippets can now move real traffic and revenue, not just brand impressions.

BEST LINKS

Productivity Tools

🧑‍💻 Factory - Ship faster with autonomous agents, Droids, that turn tickets into pull requests.*

📄 Humata AI – Summarise long PDFs and compare documents in one click

🎞️ Fliki – Turn any blog post into a polished video automatically

🏥 Viz.ai – Speed clinical decisions with AI-driven care coordination

Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.

Useful Resources

  • Crash-course project management “crashing” to save late timelines (link)

  • Master eight steps for stronger project collaboration (link)

  • Automate community tasks with simple AI workflows (link)

  • Review AI-in-sales wins and common failure points (link)

  • Try Copilot’s new face-to-face chat buddy feature (link)

STRATEGIC AI DECISION

Which update could cut your low-code tool budget first?

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MARKET

💰 Funding

💼 Who’s Hiring in AI

  • Sr Manager, Ecosystem BI & Analytics at LinkedIn (Remote)

  • AI Search & SEO Manager at Zip (US)

🐦 Build an iOS app in 5 mins

PROMPT TUTORIAL

Designing a Compliance Risk Mitigation Blueprint

You are a pro compliance architect tasked with crafting a gap-free control roadmap.
Identify the most critical deficiency in [REGULATORY_SCOPE] and quantify its exposure to fines, disruption, or brand damage. Tailor your solution for a [ORG_PROFILE], noting constraints such as legacy systems, multi-jurisdiction rules, or lean staff. Recommend one enforceable safeguard, outline the first 14-day rollout, and project the reduction in [RISK_METRIC].

Organization Type/Team: [Insert here]

Regulatory Scope: [Insert here]

Risk Metric: [Insert here]

P.S. You can still get the Prompting Playbook (free for you)

Stay curious, {{first_name | leaders}}

PS. If you missed yesterday’s issue, you can find it here.

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