Office productivity has been a major focus for the big AI companies over the past few months, and a lot of professionals now reach for AI tools every day. One of the most popular use cases is making presentation slides. These slide generators caught on fast because they’re so convenient: drop in a document, a URL, or even a short text description, and t…

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AI agents with browser control have been getting a lot of attention over the past couple of months. We now have different versions of these tools from OpenAI’s browser agent to Perplexity Comet, OpenClaw, and many others.

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I have tried a handful of them, and while they are useful, there are still clear limits to w…

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A lot of users, including myself, who rely on AI chatbots and coding agents for business and development workflows share one major concern: the cost and speed of token consumption.

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I use three chatbots for daily work: ChatGPT, Claude, and Gemini. The common problem is that what ChatGPT knows about me does not carry over to Claude or Gemini. I end up repe…

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Today, I opened the Antigravity desktop app and saw a major update notification. I thought it was just a normal update at first, but it turns out Google changed the whole app experience.

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According to Google, the new app has been rebuilt from the ground up to deliver an agent-optimized experience.

I actually watched the Google I/O 2026 keynote to see what was new in the app before updating to the latest version. The demos were pretty impressive, especially when they showed an example where over 90 agents worked together to build a working OS in 12 hours while consuming less than $1,000 worth of tokens.

This is exactly what I needed to supercharge my development workflow.

I mean, I was super impressed with what they showed today, but I was also concerned after seeing the UI and UX changes during the demos.

I jumped right into my own Antigravity desktop app and updated to the new version. In case you are wondering, this is what the update screen looks like:

The new standalone app allows you to orchestrate multiple agents to execute tasks in parallel. It also features dynamic subagents for parallelized workflows, scheduled tasks for background automation, and ecosystem integrations across Google AI Studio, Android, and Firebase.

These are the main features:

1. An Abstracted UI: Your AI agents’ central command center, providing a unified platform to launch, monitor, and orchestrate their activities.

2. Dynamic Subagents: Subagents are defined and instantiated dynamically to tackle parallel parts of complex problems, leading to faster and better results.

3. Scheduled Tasks: Automate routine checks with Scheduled Tasks. Simply define a cron schedule, and the agents start and run autonomously in the background.

4. Artifacts: Deliverables from the agent that communicate its progress with you.

5. Extended Customization: Create or download fully customizable skills to further your agent’s autonomy and transform how you get work done.

There is also a support for Gemini audio models that lets you speak your prompts and the ability to define global or workspace-specific Skills, MCPs and JSON Hooks to encourage custom agent behavior.

The problem is that the actual update felt confusing the moment I started using it. This is what the Antigravity 2.0 dashboard looks like on my screen:

You see, I already loaded a project and ran a prompt with Gemini 3.5 Flash.

First impression: much of the UI components were trimmed down.

And I do not mean “cleaner” in a good way. I mean things I expected to be there were all gone.

1. Where’s the project explorer?

2. How to open the file editor?

3. How do I launch a new terminal window?

4. Where do I monitor the token consumption?

5. How do I trigger subagents?

These are the first things a developer looks for when opening an IDE.

I have no idea what the Google engineers were thinking, but this new UI and UX is not what I was expecting. I can no longer bring up a terminal with the usual Ctrl + Shift + ~ shortcut. The current project is not even listed in the projects list despite just being recently added.

So now, I am forced to execute terminal commands inside the prompt field. This counts toward my token consumption, and it is so slow!

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As a developer who has been building software products for the past five years, getting online visibility is just as challenging as building the product itself.

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When promoting my apps online, I basically have two options:

1. One is paid promotions. You can run ads, sponsor newsletters, pay writers, or buy placements. This can work, but it gets expensive fast…

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I am not a marketing expert, and I do not own a large brand with a full creative team behind it. But I can tell when a marketing asset works. It makes you stop, understand the product, and feel something about the brand. That is harder to create than it looks.

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That is where AI is becoming useful. Brands can now test campaign ideas, product shots, ad layo…

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I use GitHub almost every day.

For personal projects, client work, experiments, and pretty much anything that involves code, GitHub is always part of my workflow. I push code, create branches, connect repos to deployment tools, and store a lot of my projects there without thinking too much about the system behind it.

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So when I saw a post on X about a vuln…

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For the past few years, I’ve been experimenting with how software gets built when you have coding agents doing the heavy lifting.

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I come from a developer background, and like most people who build software products for a living, I’ve watched the tooling change fast. What started as autocomplete and code suggestions has become something much more capable:…

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Hey guys, it has been a week since I launched BloggFast.

For those who are new here, BloggFast is a Next.js blog boilerplate that gives you a fully wired, production-ready AI-powered blog site out of the box. Instead of spending weeks integrating authentication, database, CMS, email, hosting, and AI services, you get all of that configured and connected …

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If you want to launch your own blog or news website with full control over the source code, I built BloggFast for you. It is a full-stack NextJS boilerplate built to help you move faster without having to piece everything together from scratch.

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Instead of spending days setting up authentication, the database, CMS, email, hosting, and AI article generatio…

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I was at a coffee shop this afternoon when I saw a group of students doing some school activities. One of them was using ChatGPT to create presentation slides. The thing is, ChatGPT cannot really spit out a complete PPT file in one shot in the way many people expect. In many cases, it gives you content, structure, and instructions on how to build each s…

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Back in 2024, I had the idea of building my own blog site from scratch.

It is not that I do not enjoy platforms like Medium or Substack. I actually like using them. But at the end of the day, I still do not have full control over the website. I cannot fully customize the UI or UX the way I want, and I am limited by the platform’s system and design decisi…

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NVIDIA announced NemoClaw at GTC 2026 less than a week ago. It’s a security wrapper for OpenClaw, the open source AI agent platform that became the fastest growing open-source project in history, but got plagued with security concerns. Kernel-level sandboxing, a deny-by-default policy engine, and a privacy router.

One group of researchers called it a “lethal trifecta.”

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NemoClaw is NVIDIA’s response. It wraps OpenClaw inside the OpenShell runtime with three layers of protection:

• A kernel-level sandbox using Landlock, seccomp, and network namespaces

• An out-of-process policy engine that agents supposedly cannot override

• A privacy router that keeps sensitive data on local Nemotron models while routing complex queries to cloud APIs

Zack Korman, a cybersecurity professional and CTO at Pistachio, started poking at Nemoclaw. Korman’s background is in threat detection, and he has a law degree from Edinburgh and a master’s from Oxford, so he knows how to read documentation carefully.

The Vulnerability Korman Found

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OpenAI’s pre-IPO investor document landed this week, and the most interesting part isn’t the $830 billion valuation target or the Q4 2026 IPO timeline. It’s the section where OpenAI tells prospective investors, in writing, that Microsoft is a risk to their business.

The filing reads:

“If Microsoft modifies or terminates its commercial partnership with us, or if we are unable to successfully diversify our business partners, our business, prospects, operating results and financial condition could be adversely affected.”

That’s the company that gave OpenAI $13.8 billion, most of its compute, and its primary distribution channel being formally listed as a threat.

It’s crazy.

How We Got Here

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Manus has been a cloud-first AI agent since its launch in March 2025. You give it a task, it opens a sandboxed environment, browses the web, writes code, and delivers results. But there was one big limitation—it could not touch your local machine.

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That changes today.

Manus released My Computer, the core feature of a new Desktop app that gives the agent direct access to your files, terminal, applications, and hardware. It is available now on macOS and Windows.

This is the first major product release since Meta acquired Manus for roughly $2 billion in late 2025.

What Is My Computer?

My Computer is a feature inside the new Manus Desktop app. It extends Manus from a cloud-only agent into one that can operate directly on your local machine.

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After weeks of rumors, Jensen Huang finally revealed NemoClaw during NVIDIA GTC 2026 as a security focused layer for the OpenClaw ecosystem. The goal is to autonomous agents safer to run without limiting what they can do.

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OpenClaw went viral in a matter of weeks and that momentum also exposed a bunch of security concerns. Agents often run with broad permissions, which makes data access and execution harder to control in practice.

NVIDIA’s answer is NemoClaw.

What is NemoClaw?

It is a runtime layer that sits on top of OpenClaw and enforces how agents behave. It does not replace OpenClaw. It constrains it.

You still get autonomous agents, but they run inside a controlled environment with explicit rules for data access, network calls, and execution.

NVIDIA implements this using OpenShell, which acts as the secure execution layer. Every agent runs inside a sandbox, and every action passes through policy checks. That includes file access, outbound requests, and model inference.

Here’s what the NemoClaw workflow looks like:

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OpenClaw went from zero to 314,000 GitHub stars in under four months. It surpassed React. It surpassed Linux. It became the most-starred non-aggregator software project on GitHub, period.

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But OpenClaw is no longer alone.

In the eight weeks since it exploded, the “Claw” ecosystem has spawned at least nine serious open-source AI agent projects, each attacking a different slice of the problem. Rust rewrites. Go ports for $10 hardware. Container-isolated forks built specifically to fix OpenClaw’s security nightmares.

Now there’s a live scoreboard tracking the whole thing. ClawCharts is a free, real-time analytics dashboard that ranks every major Claw project by star growth, contributor activity, and commit velocity.

What Is ClawCharts?

ClawCharts pulls live data from the GitHub API and ranks projects using a composite momentum score. The primary drivers are seven-day stars gained (plus percentage change), seven-day contributors (plus percentage change), and seven-day commits (plus percentage change). Total stars serve as a tiebreaker.

This is what the dashboard looks like:

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Paul Conyngham didn’t go to medical school. He runs a machine learning consultancy in Sydney, spends most of his time with data pipelines and prediction models, and has no formal background in biology or oncology. But when his rescue dog Rosie was diagnosed with aggressive mast cell cancer in 2024 and given only months to live, he did something that most researchers would have called impossible for a non-specialist: he used AI to design her a custom cancer vaccine.

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The tumor on Rosie’s back leg shrank by more than 50% within one month of her first injection. She is alive and, by all accounts, chasing rabbits again.

I’ve been covering generative AI for a while now, and I’ve watched it get applied to code generation, legal documents, financial modeling, and drug discovery at the institutional level. But this story cuts differently. It’s a single person, working mostly alone, who took tools that were publicly available and used them to do something that had never been done before for a dog. The implications for human medicine are hard to overstate.

The Dog Who Started It All

Rosie is a Staffordshire Bull Terrier and Shar Pei cross. Conyngham adopted her from a Sydney shelter in 2019, after she had been abandoned in bushland. He describes her as his closest companion through some of the hardest stretches of his life.

In 2024, large tumors appeared on one of her back legs. The diagnosis was mast cell cancer, the most common skin cancer in dogs and notoriously difficult to treat once it spreads beyond the initial site. Conyngham spent thousands of dollars on veterinary chemotherapy and surgical intervention. The treatments slowed the cancer. They did not shrink the tumors.

He started thinking about a different approach.

How ChatGPT Became a Biomedical Research Partner

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There’s a reason OpenClaw became one of the fastest-growing open-source projects in history. Within 60 days of its January 2026 release, it gained over 250,000 GitHub stars, outpacing the growth of major projects like React and even Linux in a fraction of the time.

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People became excited because this AI companion runs locally on your computer. It can acce…

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Google’s AI-powered marketing tool Pomelli just expanded its availability to over 170 countries and territories, making it accessible to a much wider audience of businesses and creators.

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Pomelli is an experimental AI-powered marketing tool from Google Labs, developed in collaboration with DeepMind. It’s designed to help small-to-medium-sized businesses (SMBs) automatically generate on-brand social media campaigns, ads, and marketing visuals with minimal effort.

Instead of manually building brand kits or designing campaigns from scratch, Pomelli simply asks for a website URL. It then scans the site and constructs what Google calls a “Business DNA”. From there, the AI generates customized, editable marketing materials that stay consistent with your brand.

Key Features

• Automatic Brand Analysis: Pomelli scans your website and automatically identifies your logos, fonts, color schemes, imagery, and tone of voice.

• On-Brand Content Generation: Using the extracted brand information, the tool generates social media posts, ads, and campaign ideas tailored specifically to your brand style.

• AI Image Enhancement: It can turn basic product photos into studio-quality marketing visuals, complete with AI-generated backgrounds and lighting.

• Editable Assets: All generated content remains fully editable, allowing you to tweak text, colors, and visuals before exporting.

• Free Experimental Access: Currently, Pomelli is available as a free experimental tool through Google Labs, though it was previously limited to users in the United States.

Creating Marketing Assets with Pomelli

Head over to Google Labs and look for the Pomelli tool. Take note that you need to be logged in with your Google account to be able to use it.

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