How to build 24/7 Claude-powered agents with Base 44 Super Agents

24/7 AI agents used to sound like hype. Today, they’re becoming real tools you can use to automate email, research, reporting, customer follow-ups, and even parts of your business operations—without needing to write code or keep your computer running all day.

In this guide, you’ll learn how to build always-on, Claude-style agents using Base 44’s Super Agents. We’ll walk through what they are, how they work, and a concrete example of building a daily AI news workflow that runs entirely in the cloud.

What 24/7 AI agents can actually do

Modern AI agents are no longer just chatbots. When connected to your tools and given clear responsibilities, they can act like digital team members that run on autopilot. For example, a well-designed agent can:

• Draft and reply to emails
• Manage your calendar and reminders
• Update spreadsheets or CRMs
• Handle customer follow-ups and support tickets
• Automate data entry from forms or documents
• Run parts of accounting workflows, like organizing invoices and logging expenses

The challenge has always been the setup. Traditionally, you’d need to:

• Write custom code or wire up complex no-code tools
• Manually connect APIs and integrations
• Host your automations on a server or keep your computer on 24/7
• Maintain everything as tools and APIs change

Base 44’s Super Agents are designed to remove most of that friction.

What are Base 44 Super Agents?

Base 44 started as a platform that lets you turn ideas into apps just by describing what you want. Super Agents are their next step: managed, cloud-hosted AI agents that can run continuously, connect to your tools, and execute workflows on a schedule.

With Super Agents, you get:

• Managed infrastructure – Your agents run in the cloud, so you don’t need servers or a machine that stays on 24/7.
• Secure defaults – Authentication and permissions are handled by the platform.
• One-click integrations – Connect Gmail, Google Calendar, Slack, Stripe, CRMs, and 100+ other tools out of the box.
• 24/7 execution – Schedule tasks to run at specific times or intervals, every day.

Instead of building one giant, messy automation, you can define multiple focused agents and chain them together into a clear workflow.

Why multiple agents beat one giant prompt

A common mistake when building AI automations is trying to do everything with a single, huge prompt. That quickly becomes hard to manage and debug. Super Agents take a different approach: you create multiple agents, each with a specific role, and connect them into a pipeline.

Each agent can:

• Have a clearly defined role and responsibility
• Receive structured inputs (for example, a list of news stories or an inventory table)
• Produce structured outputs that automatically feed into the next step
• Use specific tools or integrations as needed

This turns your automation into a real process, not just a long chat with an LLM. If you want to go deeper into designing robust agent workflows, you might also like this guide on the essential skills for building real AI agents.

Real example: an inventory and supplier agent for e‑commerce

One example built with Base 44 Super Agents connects directly to a Wix store and acts as an inventory and supplier agent. It can:

• Track product inventory levels
• Predict when items are about to go out of stock
• Contact suppliers automatically
• Negotiate pricing, bundles, and stock updates
• Handle ongoing supplier communication

The result is a store that feels like it’s partially running itself. Instead of manually checking stock and emailing suppliers, the agent monitors everything and takes action in the background.

Getting started with Base 44 Super Agents

You can start building agents directly from the Base 44 website.

Create your account and first agent

To begin, you:

1. Go to the Base 44 site and open the Super Agents section.
2. Create an account using Google, Apple, or your email address.
3. Once you’re in the dashboard, you can create a new agent simply by describing what you want it to do.

You can:

• Type your instructions as text
• Attach files your agent should use
• Use your voice, which is converted to text via speech-to-text

Base 44 also includes an automatic model routing system. On the free tier, it can route between models like Gemini, Claude Sonnet, and GPT variants. Paid plans unlock newer, higher-end models for better output quality.

Connecting tools and integrations

The left-hand panel in the dashboard is where you manage everything around your agents:

• Tasks – See and manage the workflows your agents are running.
• Tools / connectors – Connect services like Gmail, Google Slides, calendars, CRMs, and more.
• MCPs and skills – Add extra capabilities and tools to extend what your agents can do.
• Files – Upload and manage documents your agents should reference.
• Memory – Configure how agents remember past interactions and data.

For example, if you want an agent to send emails on your behalf, you’ll need to connect your Gmail account. Base 44 handles the authentication flow so the agent can securely act through your account when needed.

Step-by-step: building a daily AI news workflow

Let’s walk through a concrete workflow: a 24/7 AI news agent that researches the latest developments, writes scripts, and emails you a daily report.

1. Define a clear objective

Start by writing a detailed description of what you want your Super Agent workflow to accomplish. For example:

• Scan the web daily for AI news about benchmarks, open-source releases, AI agents, humanoid robots, and major product launches.
• Evaluate the credibility of each story and score it.
• Summarize the top stories and provide sources.
• Turn the summaries into a video-ready script or SEO-optimized article.
• Email the final output to you every morning.

The more specific you are about topics, formats, and timing, the better the workflow will perform.

2. Create the research agent

First, create an agent dedicated to deep research. Its job is to:

• Scour the web for relevant AI news
• Filter out low-quality or unreliable sources
• Score each story for credibility
• Return a structured list of stories with titles, summaries, scores, and links

This agent can use web search tools to gather information and run entirely in the cloud, so you don’t need to be online when it runs.

3. Put the agent on a schedule

Next, schedule the research agent to run automatically, for example every day at 9:00 a.m. ET. Once scheduled, it will:

• Wake up at the set time
• Run its web research
• Produce its structured output
• Pass that output to the next agent in the workflow

You get a daily feed of fresh AI stories without lifting a finger.

4. Add a script-writing agent

Now, extend the workflow by adding a second agent whose job is to turn raw research into content. This agent can:

• Take the list of news stories from the research agent
• Condense them into a briefing
• Write a full video script with intro, segments, CTAs, and outro
• Or generate SEO-optimized blog content, depending on your needs

This is where Super Agents really shine: you’re not manually copying and pasting between tools. The output from one agent flows directly into the next.

5. Connect Gmail and send the results

To receive everything in your inbox, you’ll need a third agent that handles email delivery. After connecting your Gmail account as a tool, this agent can:

• Take the final script or briefing
• Format it as an email
• Send it to your chosen address with a clear subject line (for example, “World of AI Daily Script”)

When you check your inbox, you’ll see that the workflow has:

• Researched the latest AI news
• Condensed it into a briefing
• Turned it into a full script
• Emailed it to you automatically

If you’re interested in more agent-based content workflows, you may also find this tutorial on building Claude AI agents in minutes helpful.

Upgrading your output: automated PDF reports

Plain-text emails are useful, but you can take things further by generating visually polished reports.

Add another agent whose role is to:

• Take the condensed briefing from the research agent
• Turn it into a structured news report
• Style it for readability (headings, sections, bullet points)
• Export the result as a PDF
• Attach the PDF to your daily email

The result is a clean, professional-looking AI news report with:

• A summary of key developments
• Hyperlinked sources
• Clear sections and formatting
• An attached PDF you can save, share, or archive

All of this still runs on autopilot, with no code required—just well-written instructions for each agent.

Running multiple agents in parallel

Super Agents also let you create multiple agents that work simultaneously. That means you can:

• Run your AI news workflow every morning
• Have a separate agent managing your e‑commerce inventory
• Use another agent to handle customer support triage
• Add one more for finance tasks like invoice processing

Each agent has its own role, tools, and schedule, but they all run in the same cloud environment. You can build a small ecosystem of AI workers that handle different parts of your day.

Free tier and model options

One of the appealing parts of Base 44’s Super Agents is that you can do a lot on the free tier. Even without access to the latest premium models, you can:

• Build multi-step workflows
• Connect core tools like Gmail
• Run scheduled tasks in the cloud
• Generate scripts, briefings, and PDF reports

Upgrading unlocks access to newer, more capable models, which can improve reasoning, writing quality, and reliability—but you can experiment and build real workflows without paying upfront.

Why Super Agents are a practical way to automate your life

Super Agents offer a structured way to build AI workflows that feel like real, dependable processes instead of fragile one-off hacks. You get:

• Clear, role-based agents instead of one giant prompt
• Cloud hosting and 24/7 execution
• Simple, one-click integrations with your existing tools
• The ability to chain agents into powerful multi-step automations

Whether you’re automating research, content creation, e‑commerce, or back-office tasks, you can start small—like the daily AI news workflow—and expand into a network of agents that quietly handle more and more of your routine work.