In this section I review one AI-powered application and demonstrate how it can be used to create new value.
If you've been following AI news this month, then OpenClaw — an open-source AI agent framework that has become a cultural phenomenon, nicknamed "the Lobster" — seems to have taken the world by storm. Its creator, Peter Steinberger, has been recruited into OpenAI, and people have been spinning up thousands of agents based on this platform. Jensen Huang, Nvidia's CEO, has called it "the most important software release ever".
Why the frenzy? Because OpenClaw represents something fundamentally different from how most people use AI today. Instead of asking a chatbot a question and getting an answer, OpenClaw users grant their agent broad permissions — and it runs persistently, taking real actions across applications, learning preferences over time, and operating autonomously.
This shift — from AI that talks to AI that does — is the defining trend of 2026. And it's the context in which I've been exploring Base44's recently launched Superagents feature.
What are Superagents?
Base44, which I've written about before as a no-code application builder, and which I use to build and deploy some of my AI-powered apps, introduced Superagents in March 2026. The concept is much like OpenClaw — persistent AI agents that operate 24/7, connect to your existing tools, learn your preferences, and take action on your behalf across communication channels.
You describe what you want in plain English — "Monitor my email for client inquiries, score them by urgency, and send me a daily summary on Slack" — and Base44 builds, deploys, and maintains the agent. No coding required.
The agents connect to over 200 integrations: Google Calendar, Gmail, Drive, Slack, Discord, CRMs, project management tools, and more. They can run on schedules ("every Friday at 5 PM, compile this week's metrics"), react to events ("when a new lead signs up, send a welcome sequence"), and chain multi-step workflows together.
My early experience
I've been experimenting with Superagents for the last few days. The first agent I tried to build is something that helps me capture all the ideas for content, products, features and business or personal opportunities that come up during the busy day, when I wake up, or when I have an interesting conversation. I call it "Catchy" — helping me catch all the things I don't want to forget. While I still have a lot to discover, some things started to emerge.
What I like
The setup experience is genuinely simple. You don't need to understand APIs, webhooks, or agent architectures. You describe the task, Base44 creates the agent, and you can test it immediately. For someone who works with non-technical business leaders daily, this is a significant step forward. The barrier between "I wish I had an agent that could do X" and actually having one has dropped considerably.
The multi-channel presence is practical. Having an agent that lives in WhatsApp, Telegram or Slack — where I already work — rather than requiring me to open a separate application feels right. It meets you where you are instead of demanding you go somewhere new.
The persistent memory across conversations means the agent genuinely improves over time. It remembers your preferences, your patterns, the way you like reports structured. This is the difference between a tool you configure once and a tool that configures itself to you.
What to watch
The reliability question matters. Across the industry, the data tells a sobering story: 85% accuracy per action sounds impressive until you realize that on a 10-step workflow, that compounds to roughly 20% end-to-end success. I haven't stress-tested Superagents on complex, high-stakes workflows yet, and I'd recommend any user start with low-risk tasks before trusting an agent with anything critical.
Security deserves attention. Always-on agents with access to your email, calendar, and business tools create a meaningful attack surface. Base44 uses sandboxed execution environments and clear permission controls, which is the right approach — especially given that OpenClaw agents have already been exploited through prompt injection attacks that tricked them into uploading sensitive data. Any platform in this space needs to earn trust incrementally. I am still being cautious about which of my business tools I am giving it access to.
71% of organizations are not adequately prepared to secure agentic deployments. That's not just a platform problem — it's a leadership and governance problem. Before deploying any always-on agent, your team needs clear tenets about what the agent can and cannot do.
The bigger picture
The gap between experimentation and production is real — and it's largely about infrastructure, governance, and trust, not capability. Base44 Superagents are one bet on how to close that gap: make agents accessible enough that non-technical users can build them, managed enough that security is handled, and practical enough that they connect to the tools people already use.
I'll continue testing and share a more detailed review in a future issue.
Your action step
Try building one simple Superagent this week. Pick a low-stakes, repetitive task — daily summarization, idea capture, or content monitoring — and describe it in plain English at base44.com/superagents. Start with something you'd be comfortable delegating to an intern: if the agent gets it wrong, nothing breaks. That's the right calibration for first experiments with always-on AI.