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Keep up to date on the latest products, workflows, apps and models so that you can excel at your work. Curated by Duet.

Stay ahead with the most recent breakthroughs—here’s what’s new and making waves in AI-powered productivity:

Dr. Muscle X – AI Workout Planner for Busy People

Dr. Muscle X is a newly launched rebuild of the Dr. Muscle AI workout app that generates personalized strength‑training programs using progressive overload and other evidence‑based training principles, acting like a pocket personal trainer that adapts as you get stronger. The new version was rebuilt as a fast progressive web app and focuses on getting users into workouts quickly while preserving the underlying coaching logic from the original app.

What makes this release newsworthy is how the team used AI coding assistants (including tools like Claude and ChatGPT) plus automated testing to rebuild the entire product in about six months—roughly half the time they estimate a human‑only dev team would have needed, which itself is a strong real‑world case study in AI‑boosted productivity. For everyday users, the payoff is a smoother experience: faster startup, more responsive workout planning, and ongoing updates, all aimed at helping people lift smarter without needing deep training knowledge.

Anthropic’s Claude Cowork – AI “Coworker” for Desktop Work

Anthropic launched Claude Cowork, an AI assistant built on the Claude model family that can handle real tasks on your computer — from organizing files to extracting data and drafting documents. While still a research preview limited to subscribers, this tool highlights a shift from chat-only AI to agent-style tools that perform actions for you. It’s garnered attention for being developed with significant help from AI itself, showcasing a new approach to building productivity software.

Slingshot – AI at the Center of Team Workflows

Slingshot is an AI‑powered work management platform from Infragistics that pulls data, content, and tasks into one place, using AI to minimize app‑switching and help teams make faster, better‑informed decisions. Available on desktop, mobile, and the web, it is designed to sit at the center of projects so AI can analyze workloads, highlight priorities, and surface insights in context rather than forcing users to jump between scattered tools.

The platform’s AI features aim to optimize processes and boost team productivity by aligning data with day‑to‑day execution—helping teams understand not just what they are doing, but where work is getting blocked and what to do next. This approach can be especially useful for small and mid‑sized teams that want AI help with coordination and focus, without building a complex custom stack.

MySavant.ai – AI‑Enhanced Nearshore Operations

MySavant.ai is a newly launched nearshore workforce model that uses AI tools to augment human teams, focusing on repetitive, high‑volume tasks so staff can spend more time on judgment‑heavy work. Instead of a fixed staffing approach, it integrates AI across recruiting, training, and real‑time operational monitoring to make teams faster, more consistent, and more scalable with fewer resources.

In practice, the platform’s AI helps automate routine interactions across voice, digital, and back‑office channels, while workforce intelligence systems track performance and quality in real time. Clients typically see shorter ramp‑up times, higher throughput, and up to roughly 25% reductions in operating costs compared with traditional hiring and legacy BPO models, making it attractive for companies trying to increase productivity without proportionally expanding headcount.

Mudra Link Android App – Touchless Neural Control for Phones

Wearable Devices, known for its AI‑powered neural sensing wearables, announced the upcoming Mudra Link Android app, which extends its “neural AI” touchless control technology from other platforms to Android devices. The app is designed to work with the company’s Mudra wearables, which detect subtle neural signals from the wrist and translate them into commands, enabling users to control devices with tiny finger movements instead of taps and swipes.

For Android users, this opens the door to hands‑free navigation and control of apps—particularly useful for creators, gamers, accessibility use cases, or anyone who wants to interact with devices while their hands are busy. By pairing AI interpretation of neural signals with familiar phone workflows, Mudra Link aims to make futuristic, gesture‑based computing feel like a natural extension of everyday smartphone use.

Anthropic’s Claude Cowork: Your First AI Desktop “Coworker”

The AI world has begun shifting from conversation-centric assistants toward action-oriented tools — and Claude Cowork embodies that shift. Instead of just responding with text, Cowork is built to do things for you on your computer. Based on Anthropic’s Claude model architecture, it operates as a “coworker” that you can instruct to handle everyday work tasks like organizing files, generating documents, analyzing data, or even managing spreadsheets. Unlike typical chat interfaces, Cowork can interact with files and workflows directly, narrowing the gap between asking an AI and getting work done.

One of Cowork’s most notable aspects is that it was largely constructed with the help of the very AI models it now runs on — a self-referential development approach that hints at new ways AI software could be built in the future. This “vibe coding” method — where human engineers define outcomes and AI iterates toward them — significantly accelerates development cycles and could influence how other AI tools are produced.

For users, the practical benefits are clear: instead of switching between apps or manually managing tasks, Cowork aims to perform tasks for you. Whether that’s compiling reports from folder contents, transforming screenshots into structured data, or drafting content from notes, it’s designed to reduce friction in everyday work.

However, early access is limited to Anthropic’s higher-tier subscribers and currently focused on macOS. There are also important safety and clarity considerations — because Cowork can modify or delete files, users need to be careful with instructions and repositories they grant access to. It’s a powerful idea that still requires thoughtful use.

Despite limitations, Claude Cowork marks a pivotal moment where AI moves from responding to acting — a trend that will likely shape productivity tools throughout 2026 and beyond.

Explain Like I'm Busy: How to Use AI to Conquer Your Reading List

We all have it. The Graveyard of Open Tabs. The "Saved for Later" folder that has become a digital mausoleum. The stack of PDFs on the desktop named important_read_v2_FINAL.pdf.

We live in an era of information abundance but attention scarcity. You need to know what is in those reports, articles, and white papers—but you don't have the hours to parse thousands of words of dense prose.

Enter ELIB: Explain Like I'm Busy.

Most people use AI tools to write more content. But their highest leverage use case is consuming it. AI is the ultimate compression algorithm for your reading list.

Why "TL;DR" Isn't Enough

A generic "summarize this" prompt produces generic results. The AI doesn't know what you care about, so it guesses—and often misses the specific nuance relevant to your job or interests.

ELIB is different. It's active triage: extracting specific value in seconds so you can decide whether to read the whole thing or move on with 90% of the value in 1% of the time.

Strategy 1: The Executive Briefing

Don't just paste text and say "summarize." That gives the AI too much wiggle room. Instead, simulate a busy executive asking a chief of staff for a briefing.

The Prompt:

I am a [Your Role] looking for [Specific Info]. Read the attached text and provide a "Bottom Line Up Front" (BLUF) summary of the main argument, followed by the three most critical data points or takeaways that impact my work. Keep it under 200 words.

Why it works: Anchoring the AI to your perspective changes everything. A developer needs a different summary of a tech article than a CEO does.

Strategy 2: The Interrogation Method

Sometimes you don't want a summary—you want to know if a specific needle is in the haystack. Instead of reading a 40-page PDF to find one statistic, treat the AI like a searchable database.

The Prompt:

Based strictly on the text provided, what does the author say about [Specific Topic]? Quote the relevant sections directly.

Why it works: Asking for direct quotes forces the AI to look for evidence, not vibes. It reduces the risk of hallucination because the AI has to show its work.

Caution: AI models don't always quote verbatim—they sometimes paraphrase while presenting it as a quote. Always verify important quotes against the original before citing them elsewhere.

Strategy 3: The Conversation (Iterative Questioning)

The real power of AI isn't one perfect prompt—it's treating the AI like a conversation partner. Start broad, then drill down.

The Flow:

1. "Summarize this article in 3 sentences."

2. "What's the evidence for the claim in sentence 2?"

3. "How does this compare to [other thing I know about]?"

4. "What would someone who disagrees say?"

Why it works: Each question builds on the last. You're not just compressing information—you're actively exploring it. This is where the leverage really compounds.

Strategy 4: Format Shifting

Dense paragraphs are the enemy of speed. Our brains process patterns and structures faster than walls of text. Use AI to change the format.

The Prompts:

• For processes: "Convert this text into a step-by-step checklist."

• For arguments: "Turn this article into a table comparing Argument A vs. Argument B."

• For timelines: "Extract all dates and events and present them chronologically."

Strategy 5: The Devil's Advocate

If you're reading an opinion piece or strategic proposal, it's easy to get swept up in the author's rhetoric. Use AI to pressure-test it.

The Prompt:

Analyze this text. Identify logical gaps, potential biases, or counter-arguments the author fails to address.

Why it works: Instant critical evaluation. It's like having a debate partner on demand.

Know Your Tool's Limits

Not all AI tools can actually ingest that 40-page PDF. Context windows—the amount of text an AI can "see" at once—vary significantly.

Current limits (as of January 2026):

One token ≈ ¾ of a word. A 40-page document is roughly 15,000–20,000 tokens.

What this means: If your document exceeds the context window, the AI may silently truncate it—processing only part of the file without telling you. For critical work, check your tool's limits and split large documents if necessary.

The Triage Framework

The goal of ELIB isn't to never read again. It's to filter noise so you can focus on signal.

1. Run the article through an ELIB prompt.

2. Generic advice you already knew? → Archive.

3. Fascinating nuance the summary hints at but can't capture? → Read the full text.

You'll find that 80% of content can be fully consumed via AI summary, leaving you time and mental energy for the 20% that actually matters.

The Nuance Trap

AI is a lossy compression tool. It sacrifices nuance for speed. It's excellent at summarizing informational text—news, reports, how-to guides. It's terrible at summarizing art.

Don't use this for fiction, poetry, or philosophical essays where how something is written matters as much as what is written. You don't ask an AI to summarize a sunset.

The Bottom Line

Stop feeling guilty about your unread pile. The goal of the information age isn't to consume everything—it's to find what matters.

Don't ask: "What is this about?"

Do ask: "What is in this for me?"

Use AI to explain it like you're busy—so you can get back to the work that matters.

Partner Spotlight: IT Agent – What If Your RMM Tool Actually Solved Problems?

Most remote monitoring tools tell you something is broken. IT Agent goes further: it suggests fixes to common issues so you can approve the resolution instead of doing the manual work yourself. The platform combines remote access, automated patching, and intelligent alerts into one interface—and it auto-documents your IT processes by shadowing your admins, so your runbooks stay current without anyone updating them. Pricing starts at $49/month per technician with unlimited endpoints. Sign up or find more information at IT Agent.

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Stay productive, stay curious—see you next week with more AI breakthroughs!