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Latest edition · Monday, May 4·Updated 20:00 MYT

Your overnight AI research agent.

While you sleep, it reads the official OpenAI, Anthropic, Google, Microsoft, Perplexity, Kimi, Qwen and DeepSeek blogs — scrapes, dedupes, and writes the day's edition before 6 AM. Three more agents stand by: paste an article and one unpacks it, describe a task and one routes you to the right tool, ask a question and one searches the live web with sources cited.

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Latest edition

3 tips · Monday, May 4 · Updated 20:00 MYT

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New featureSource-verifiedSaves 25–55 min

Copilot’s agent actions now generally available in Word, Excel and PowerPoint

Generated 20:00 MYT · May 4

Ask Copilot to build your meeting slides

Saves the time of copying text, designing slides, and writing speaker notes by letting Copilot create them inside PowerPoint.

Copilot Pro
The Scenario

You're prepping slides for a Monday morning status meeting and must turn a 2-page status note into a short 6-slide deck with speaker notes in under 30 minutes.

Before & after
The old way

Without AI, you copy the status text into PowerPoint, design each slide, write speaker notes and apply the company template manually—typically 30–60 minutes.

With AI

With Copilot in PowerPoint, paste or attach the status note and use the prompt—Copilot creates slides, applies the template and adds speaker notes in about 5 minutes.

The Prompt
Open the PowerPoint file [ATTACH_OR_OPEN_FILE_NAME]. Create [NUMBER_OF_SLIDES] slides that summarize these points: [PASTE_KEY_POINTS_OR_ATTACH_DOC]. Use a clear, executive tone and add 2–3 speaker notes per slide. Apply the [COMPANY_TEMPLATE_NAME] theme and produce a one-slide takeaway for the meeting on [MEETING_DATE]. Tell me if you need anything else.
Source
microsoft.com

Microsoft 365 Blog | Latest Product Updates and InsightsMicrosoft 365 Blog

  • “Copilot’s agentic capabilities in Word, Excel, and PowerPoint are generally available”

    microsoft.com
Best practiceMay be outdatedSaves 30–60 min

Developer asks if latest OpenAI Python library works on Python 3.6

Generated 20:00 MYT · May 4

Quickly test OpenAI-Python compatibility

You avoid breaking your project by verifying compatibility in a disposable environment before spending time upgrading or debugging.

ChatGPT FreeGeminiCopilot FreeClaude
The Scenario

You need to run a script that uses gpt-4o but your laptop’s system Python is 3.6 and you don’t want to break anything before a meeting.

Before & after
The old way

You try pip install on your system Python, hit obscure errors, and spend 30–90 minutes debugging environment and dependency issues.

With AI

You create a quick virtual environment, run a test pip install and a small import test in under 5 minutes to confirm compatibility or decide to upgrade.

The Prompt
Check whether the latest OpenAI Python library supports Python 3.6. My setup: Python [3.6] on [Windows/Mac/Linux]. Tell me (1) the minimum Python version required, (2) exact commands to test install in a temporary venv, and (3) concise upgrade steps if I must move to Python [3.8+/3.10/etc.].
Source
community.openai.com

Compatibility of Latest OpenAI Library with Python 3.6 - API / Deprecations - OpenAI Developer CommunityOpenAI Developer CommunitySep 6, 2024

  • “I’m currently working on a project where I need to use the latest version of the OpenAI library for Python. Specifically, I want to work with gpt-4o. My environment is based on Python 3.6.”

    community.openai.com
ProductivitySource-verifiedSaves 15 min

Watch Google’s 'What’s new' page and subscribe for Workspace updates

Generated 20:00 MYT · May 4

Get weekly Google Workspace highlights

A quick weekly check keeps your team from being surprised by small but impactful Workspace changes.

ChatGPT FreeGeminiClaudePerplexityQwenKimi
The Scenario

You're prepping for Monday's team meeting and want a 1-paragraph update on any Workspace changes that affect your team's tools (Docs, Calendar, Drive).

Before & after
The old way

Without this, you manually scan the Workspace Updates blog and the 'What’s new' Help Center, then distill takeaways — about 15–20 minutes.

With AI

With the prompt, you get a 3-bullet action list in under 5 minutes to drop into your meeting agenda — saving ~10–15 minutes.

The Prompt
Summarize the latest Google Workspace Updates and the 'What’s new' Help Center into a 3-bullet action list for a [YOUR_ROLE] (e.g., 'product manager', 'HR lead'). Focus on [PRODUCTS] (e.g., 'Docs, Calendar, Drive'). For each bullet include: a 1-sentence summary, who on my team should care, and a 1-line next step I can do in under 10 minutes. If available, include a link to the original post: [PASTE_UPDATES_URL].
Source
workspaceupdates.googleblog.com

Google Workspace Updates: Google Workspace Updates Weekly Recap - May 1, 2026 Workspace Updates Blog

Unpack an article

Paste a URL or article text. We scrape it cleanly and turn it into 3-5 usable tips for your role.

Unpack

Pick the right tool · new

Describe a task. We'll recommend the best AI from your toolkit, with a copy-paste prompt and what to avoid.

Advisor

Ask a question

Get prompts grounded in current docs and articles — with sources cited on every answer.

Ask

Build your playbook

Save the tips you actually used. Keep a personal library of prompts that work for your job.

Create account

Why Newt.

Three things every other AI newsletter doesn't do.

Sourced from the source.

Every tip comes from an official AI vendor blog — OpenAI, Anthropic, Google, Microsoft, Perplexity, Kimi, Qwen, DeepSeek. No middlemen. No paraphrased takes. The source link sits at the bottom of every card so you can verify in one click.

Tuned to your toolkit.

Tell us what you actually use — ChatGPT Plus, Claude Pro, Gemini Advanced, Kimi, whatever. Tips, tool picks, and prompts only suggest the AI you have. No upsell to tools you don't need.

Agent works overnight. You ship by 10 AM.

A scheduled agent reads eight vendor blogs every night, scrapes them through Firecrawl MCP, deduplicates by URL, and writes the next day's edition through Vercel AI Gateway before you wake up. Three on-demand agents stand by during the day: one unpacks any article you paste (Firecrawl + LLM), one routes your task to the right tool from your toolkit (multi-step reasoning), one searches the live web with Tavily MCP and grounds every answer in cited sources. You stay in the driver's seat — the agents just hand you the keys faster.

How the agent works.

One scheduled agent. Three on-demand agents. All four built on v0, Vercel, and MCP.

  1. 1Step 1

    Read

    8 vendor blogs scanned every night at 04:00 MYT.

    Firecrawl MCP
  2. 2Step 2

    Distill

    Articles deduplicated, summarized, and turned into 5–8 tips.

    Vercel AI Gateway
  3. 3Step 3

    Personalize

    Tips ranked for your role, toolkit, and skill level.

    Supabase + LLM
  4. 4Step 4

    Ground

    Every on-demand answer carries a cited source.

    Tavily MCP

The overnight agent runs whether anyone is watching. The on-demand agents — Unpack, Advisor, Ask — all reuse the same MCP tool stack: Firecrawl when an article needs scraping, Tavily when the live web needs searching, Vercel AI Gateway for every reasoning step. No black boxes. Every claim links back to its source.

Where the tips come from.

The only AI assistant that fluently routes between Western and Asia-Pacific AI tools.

Eight official vendor blogs — five Western, three Asia-Pacific. No middlemen. No paraphrased takes.

Western · 5
  • OpenAI
  • Anthropic
  • Google
  • Microsoft
  • Perplexity
Asia-Pacific · 3
  • Moonshot AI · Kimi
  • Alibaba · Qwen
  • DeepSeek

Built with

  • v0
  • Vercel AI Gateway
  • Firecrawl MCP
  • Tavily MCP
  • Supabase