In this edition we’ll be covering…
Amazon's bold expansion bringing Alexa+ to your web browser
Samsung's massive AI companion vision across your entire home
A tutorial on using Claude skills to level up your Claude Code workflow
5 trending AI signals
3 AI tools to sharpen your productivity
And much more…
The Latest in AI
Amazon Just Put Alexa in Your Browser
Amazon's betting big that AI assistants need to be everywhere you are, not just in your kitchen. They just launched Alexa.com, bringing their revamped Alexa+ experience directly to your web browser…
The move signals a major shift in Amazon's strategy. After nine months of scaling Alexa+ to tens of millions of users, the company realized something important: customers want their AI assistant wherever they work and browse, not just where they have Echo devices.
Whats coming…
Alexa.com is rolling out to all Alexa+ Early Access customers, offering the full power of Alexa+ right in your browser without needing any Echo hardware.
The web experience combines information with real-world actions—you can manage shopping lists, control smart home devices, update calendars, get meal planning help, and even add ingredients directly to your Amazon Fresh or Whole Foods cart.
A navigation sidebar keeps your most-used features one click away—recent chats, smart home controls, calendar, shopping lists, and shared files—without switching apps or losing your place.
The redesigned Alexa mobile app will feature an "agent-forward" design, putting a chatbot-style interface front and center while other features take a back seat.
So What?
With over 600 million Alexa-enabled devices worldwide, Amazon isn't just expanding—they're transforming Alexa from a voice-first assistant into a truly multi-modal AI companion. The company says 76% of what customers use Alexa+ for, no other AI can do.
Amazon's watching what happened with ChatGPT and Google's Gemini. Those tools are everywhere users are—browsers, mobile apps, integrated into workflows. By launching Alexa.com, Amazon's making sure they don't get left behind as the AI assistant wars heat up.
Would you trust Alexa with complex documents and code?
Get Your Hands Dirty!
How to Use Claude Skills in Claude Code
Claude Code got a massive upgrade with Skills, think of them as custom instructions that teach Claude exactly how you want tasks done. Instead of repeating the same prompts, you can create reusable Skills that Claude automatically uses when relevant.
Here's how to get started with Claude Skills in Claude Code:
What Are Skills?
Skills are simple folders containing a SKILL.md file with instructions that Claude reads automatically. When you create a Skill, Claude knows when to use it based on the description you provide—no need to manually invoke it every time.
Setting Up Your First Skill:
Create a personal skill folder in your home directory:
mkdir -p ~/.claude/skills/my-first-skillCreate a SKILL.md file with YAML frontmatter:
---
name: my-coding-helper
description: Helps write clean Python code with proper error handling and type hints. Use when writing Python functions or modules.
---
# Python Best Practices
## Instructions
1. Always include type hints
2. Add comprehensive error handling
3. Write clear docstrings
4. Follow PEP 8 conventionsSave the file and restart Claude Code—your Skill is now active!
How to Use It:
Just start working on a Python project and ask Claude to help. If your task matches the Skill description (like "write Python code"), Claude will automatically use those instructions without you mentioning the Skill.
Pro Tips:
Make descriptions specific—instead of "helps with documents," write "extracts text and tables from PDF files when working with PDF documents"
You can install pre-built Skills from Anthropic's repository at github.com/anthropics/skills
For team projects, create Skills in
.claude/skills/and commit them to git; teammates get them automatically
Industry Intel
Samsung’s “AI Companion” Vision is Next To Take Over Your Home
Samsung just unveiled its most ambitious AI push yet at CES 2026, and they're not messing around. Their "Companion to AI Living" vision puts AI everywhere—your TV, your fridge, your vacuum, even your laundry room…
The announcements came at Samsung's "The First Look" event in Las Vegas, where the company showcased how its 430 million SmartThings users will experience AI across every device in their homes.
Big moves coming…
A 130-inch Micro RGB TV featuring the new Vision AI Companion that goes beyond just recommendations—it can identify meals you see on screen, send recipes to your fridge, and control your entire entertainment setup with voice commands.
The Family Hub refrigerator now uses Google Gemini-powered AI Vision to track what goes in and out of your fridge, automatically managing your food inventory and suggesting recipes based on what you actually have.
A gamified "What's for Today?" feature reduces meal-planning stress by suggesting recipes from your fridge's contents, sending them directly to connected cooking appliances to start the process seamlessly.
The Bespoke AI Jet Bot Steam Ultra vacuum can recognize liquids (even transparent ones like water) and monitor your home when you're away, sending pet and security alerts.
So What?
SmartThings now serves 430 million users, giving Samsung massive data and scale advantages over competitors. They're not just adding AI features—they're building an ecosystem where your devices actually talk to each other and anticipate your needs.
The partnership with Hartford Steam Boiler (HSB) adds a practical twist: connect your smart appliances to SmartThings and potentially reduce your home insurance premiums. After a successful 2025 pilot in the U.S., the program is expanding to more states and global regions.
Samsung's also taking a preventative healthcare approach, using wearables and connected devices to detect early signs of health issues before they become serious, including dementia detection through subtle changes in mobility, speech, and engagement patterns.
Quick Bites
Stay updated with our favorite highlights, dive in for a full flavor of the coverage!
Google is bringing Gemini to Google TV starting with select TCL televisions, allowing users to deep-dive into topics, search personal photos with AI, and optimize TV settings just by saying "the screen is too dim."
A study of software developers found AI tools actually slowed them down by 19%, despite predictions they'd save 24% of time—developers spent too much time debugging and retrofitting AI-generated code to their specific projects.
Alaska's court system built an AI chatbot for probate assistance, but what was supposed to be a three-month project has taken over a year due to hallucinations, accuracy concerns, and the need for 100% reliability in legal matters.
Anthropic is buying nearly 1,000,000 Google TPUs directly from Broadcom in one of the largest single AI infrastructure deployments ever, bypassing cloud providers to control its own compute stack worth $21 billion.
DoorDash banned a driver who used an AI-generated image to fake a delivery, marking it as completed immediately after accepting the order with a synthetic photo of food at the customer's door.
Trending Tools
💻 Claude Code - Anthropic's agentic coding assistant that lives in your terminal, now supercharged with Skills to teach Claude your exact workflows and best practices.
📊 Farol - Get 10+ post ideas every week, 24-48 hours before they go mainstream, with ready-to-post content delivered directly to your Telegram or email.
✉️ CoverPilot - AI-powered cover letter generator that creates personalized, ATS-optimized cover letters in minutes to help you stand out from the crowd.
The Neural Network
AI models just cleared a utility threshold in software engineering, according to OpenAI's co-founder Greg Brockman.
Simon Willison from Datasette agrees—GPT-5.2 and Opus 4.5 in November represent an inflection point where models get incrementally better in a way that tips across an invisible capability line, suddenly unlocking whole new categories of tasks…
Until we Type Again…
Thank you for reading yet another edition of the Digestibly Newsletter!
Reyhan
Early AI leader, advises Fortune 500 companies on AI Development, LLMOps, AI strategy, speaks (for fun) on practical AI. Turns cutting-edge theory into workflows teams can ship today.
Kevin
Ex-AWS SageMaker/Bedrock lead. Shipped infra powering 1M+ devices and $2.5M ARR. Obsessed with high-throughput, low-latency systems— and brings that discipline to every Digestibly release.