{{first_name | Leader}}, welcome back.

This issue is about new AI app for creators, an ongoing hot debate, and a new windows bug

These are today's updates.

  • Meta launches an AI assistant for creators

  • Claude users push back on AI watermarks

  • New Windows zero-day bypasses Defender

  • Tools, jobs, resources, and last issue’s winning prompt ⬇️

. YouTube Tutorial.

A 15 minute watch for enterprise leaders. The creator shares lessons from 500 client projects and explains why the most valuable AI workflows focus on revenue leaks, operational bottlenecks, and forgotten CRM data.

Neatprompts is where enterprise teams discover what's worth paying attention to in AI. Every week, 100,000+ readers rely on us for actionable insights and practical workflows.

If your product helps businesses adopt, deploy, or scale AI, we'd love to introduce it to our audience.

. Top News.

Facebook made its Creator Studio app official on iOS this week, a few weeks after testing it with select creators. The app's built-in AI assistant answers questions like when to post or what people are saying in the comments, based on a creator's content style and audience data.

Its prominent feature is an AI comment tool that finds the most important comments and drafts replies in the creator's own tone, which they can edit before posting. The app also opens each day with a short list of priorities: check the latest post's performance, track progress on goals, flag comments that need a reply.

It's part of a bigger pattern at Meta this year. The company has also shipped Forum, a Reddit-style app for Facebook Groups, Instants for disappearing photos, a vibe-coded gaming app called Pocket, and StoryKit for AI-generated bedtime stories. Keeping creators inside Facebook, rather than using outside tools like ChatGPT for content ideas, seems to be the throughline.

Anthropic recently started watermarking Claude's text outputs, inserting invisible code that marks the content as AI-generated. The move satisfies the EU's AI Act Transparency Code, which requires companies to label AI-generated content in a machine-readable way.

Some users aren't happy about it. On Reddit, one post argued the system will unfairly catch casual users, while other Redditors pushed back hard. A separate complaint called the watermarks "unethical," arguing that when a person supplies the instructions, context, and edits, Claude is just a tool, so there's no reason to flag the output as AI-made. 

Researcher Nightmare Eclipse published a new Windows bug called ShieldBreak, which exploits a flaw in Windows Defender to escalate from low-level access to full control of a device. It works on Windows 10, Windows 11 25H2, and Windows Server 2025. A second researcher has confirmed the exploit works, as long as Defender is enabled.

It's a full bypass of an earlier patch Microsoft issued for one of Nightmare Eclipse's previous bugs, RoguePlanet. Microsoft hasn't fixed ShieldBreak yet.

This is the latest round in a running fight between the two. In May, Microsoft threatened legal action against researchers who disclose zero-days outside its process, then partly walked it back after backlash. Nightmare Eclipse says Microsoft mishandled their bug reports, leaving public disclosure as the only option. Some of their earlier bugs were later used in real-world attacks. ShieldBreak also lands a day after Patch Tuesday, which fixed close to 500 bugs, the second month running at that scale.

. Signals.

Tools

  • Fireworks Nexus: Optimize AI costs up to 80% with intelligent model routing*

  • Vanta: Simplify security and compliance at scale*

  • Conference Grid: See every conference a company does

  • Macrobite: The fastest way to get your macros right

Resources

. Market.

Funding

Roles In AI

Socials

. Prompt of the Day.

AI Objective & Key Results (OKR) Generator

When to use this?
When you need to turn AI initiatives into measurable business goals and align teams around outcomes, not experiments.

You are an experienced Chief AI Officer and Strategy Consultant.

Help me create AI-focused OKRs that align with business outcomes rather than technology adoption alone.

Company Context:
- Industry: [Industry]
- Company size: [Employees / Revenue]
- Department: [IT, Operations, Customer Support, Marketing, Sales, HR, etc.]
- AI maturity: [Beginner / Intermediate / Advanced]
- Strategic priorities: [Revenue growth, cost reduction, productivity, customer experience, risk reduction, etc.]
- Current AI initiatives: [Describe projects or pilots]

Create OKRs for the next [Quarter / 6 Months / Year].

For each objective:
1. Write one ambitious but realistic objective.
2. Create 3-5 measurable key results.
3. Include a baseline and target where possible.
4. Identify leading indicators and lagging indicators.
5. Suggest the teams responsible.
6. Explain how each key result connects to business value.
7. Flag any risks or dependencies that could affect success.

Structure the output in a table with:
- Objective
- Key Result
- Baseline
- Target
- Owner
- Business Impact

Prioritize OKRs that improve adoption, productivity, cost efficiency, customer experience, governance, or revenue generation.

Avoid vanity metrics such as:
- Number of AI tools purchased
- Number of AI pilots launched
- Number of employees given access to AI

Focus on outcomes such as:
- Time saved
- Revenue generated
- Cost reduced
- Customer satisfaction improvements
- Employee productivity gains
- Risk reduction
- Compliance improvements

At the end, provide:
- The top 5 executive-level AI KPIs to track
- Common AI OKR mistakes
- A one-page executive summary suitable for leadership reviews

Get more such prompts in 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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