Apple x Anthropic

Plus Zoom's new prompting technique...

Author

Jelani Abdus-Salaam
May 05, 2025

Welcome back, AI’ers!

Today's post is 331 words, a 2-minute read.

Here’s What’s On The Menu For Today

  • 🧠 AI On My Mind

  • 🤖 AI comes to Xcode

  • ✨ Zoom’s new AI prompting technique

  • 📰 News Hot Off The Press

AI ON MY MIND

Happy Monday!

I went viral on X the other day because I shared how I am automatically creating content using AI Agents. If you want to see the full breakdown of how I’m doing it click here (link)

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TODAY’S TOP STORIES

Apple x Anthropic: AI comes to Xcode

Apple’s working with Anthropic to build an AI system that helps you write and test code directly inside Xcode.

Why this matters
This isn’t just another AI plugin. If it works, it changes how apps get built—faster iteration, fewer bugs, and less manual testing.

What’s happening

  • Apple’s moving fast to integrate more AI across its tools

  • The new system supports code generation and debugging directly in the dev environment

  • Anthropic brings the Claude tech; Apple brings the ecosystem

What it means
Xcode might soon write boilerplate for you. Handle edge cases. Suggest better tests. Could make solo devs 2-3x faster. Could shrink team sizes.

The risk
More speed usually comes with more technical debt. And relying too much on AI here could make devs lazy on fundamentals.

Bottom line
If Apple nails this, they won’t just improve Xcode. They’ll raise the bar for what dev tools are expected to do.

Zoom’s new AI prompting cuts compute by 93%

Zoom’s team released a new prompting framework called Chain of Draft. It slashes token usage by over 90% without hurting accuracy.

What’s new

  • Uses just 7% of the tokens compared to older methods

  • Still maintains near-identical output quality

  • Optimized for workflows where you need repeated generation at scale

Why this matters
For AI builders, lower token usage = lower cost. More iterations. Faster testing.

Caveat
Not ideal for complex reasoning tasks or edge-case-heavy outputs. But for structured content or multi-step ops? It’s a strong new option.

TLDR
Zoom’s showing that smart prompting matters as much as the model.

TODAY’S FEATURED TOOL

🖥️ Serif AI

If you’re not using Serif yet, I don’t know what you’re waiting for.

This tool has quickly become one of my go-to time savers.

Here’s why:

Every time I check my inbox, Serif has already written replies for the emails that need a response.

All I do is review, make quick edits if needed, and hit send. That’s it. .

(Try it out →Link)

👾 Other AI Tools We Use Everyday

➡️ N8N for AI Agents - Literally use this everyday to write this newsletter (link)

➡️ Axiom AI - AI Browser automation to scrape anything on the web (link)

➡️ GummySearch - AI Reddit research (link)

Tools are sourced from our database and are not sponsored or affiliated.

OTHER NEWS YOU MAY LIKE

- Google’s Gemini 2.5 Pro completes Pokémon Blue. Source

- Anthropic offers $61.5B valuation for employee share buyback. Source

- AI predictions forecast a massive growth. Source

- UAE Makes AI Education Mandatory from Kindergarten to 12th Grade. Source

- Google rolls out Gemini access for children. Source

- Google addresses power infrastructure with new initiative. Source

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AI On Social

✨ AI Agents in Practice

✨o3 Consultant Prompt

 AI ART

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PROMPT OF THE DAY

Copy and paste this prompt 👇

"You are a market research specialist with expertise in psychographic analysis and consumer behavior. Your task is to:

1. Analyze my businesses context
2. Use that information to search Reddit strategically
3. Analyze and categorize user pain points using psychographic segmentation

Begin by assessing this context about my business/target audience:

My product/service in one sentence: PLACEHOLDER
Key features/benefits of my offering: PLACEHOLDER
My ideal customer demographics (age, interests, income, occupation, problems, frustrations): PLACEHOLDER

Then...

1. Generate a list of psychographic-based search queries using this format:

- Emotional triggers: "frustrated with [problem]" "hate when [problem]" "annoyed by [problem]"
- Aspirational language: "wish I could [desired outcome]" "looking for solution to [problem]"
- Pain point indicators: "anyone else struggle with [problem]" "how do you deal with [problem]"

2. Search Reddit using these queries and analyze:

- Common emotional themes
- Recurring frustrations
- Language patterns
- Intensity of pain points (using comment engagement as a metric)
- Competing solutions mentioned

3. Organize findings into:

- Primary pain points (most mentioned/highest engagement)
- Secondary pain points (moderate mention/engagement)
- Emerging pain points (low mention but high intensity)
- Unmet needs (mentioned problems without good solutions)

4. For each pain point, provide:

- Direct user quotes 
- Emotional intensity score (1-10)
- Frequency of mention
- Current solutions users are trying
- Gaps in existing solutions

Present the findings in a structured format with actionable insights for product positioning and marketing messaging."

Want more prompts?

We have a database of over 8,000 of the best prompts we’ve collected, which you can access by sharing Best of AI using the link below.

THAT’S IT FOR TODAY

Until next time, stay safe.

-Best of AI Team

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