🔄 The intelligent automations that can think for themselves

Hey there.

There’s a big difference between basic automations and intelligent workflows.

Professionals who are serious about using AI to increase productivity are building systems that think strategically, gather fresh intelligence, and coordinate complex operations without human oversight.

Inside The Rundown AI University, we're showing professionals how to create solutions that understand context, make decisions, research autonomously, manage their own time, integrate seamlessly across any platform, and scale effortlessly across their entire workflow.

With access to the same guides and workshops, you’ll soon be able to:

Give your workflows real-time intelligence

Standard automation workflows are blind to the outside world. They can move data between your existing tools, but they can't research new information, check current market conditions, or adapt based on what's happening right now. 

Real-time internet access changes everything about what automation can accomplish. 

Instead of working with stale data or requiring manual research inputs, your workflows become intelligent systems that can intelligently make decisions based on the latest available context.

Using internet-enabled workflow automation, you can:

• Build sales systems that automatically research prospects by analyzing their company news, recent LinkedIn activity, and industry developments, then craft personalized outreach based on current events

• Create marketing intelligence that monitors competitor pricing changes, tracks viral content in your industry, and automatically adjusts your content strategy based on trending topics

• Develop financial workflows that pull real-time market data, news sentiment, and economic indicators to inform investment decisions and risk assessments

• Implement consulting research that automatically gathers the latest industry reports, regulatory changes, and competitive landscape shifts for client presentations

• Construct content systems that identify trending hashtags, monitor audience engagement patterns, and automatically source current examples and case studies for your content calendar

What this means for you: Your automation workflows can become proactive intelligence systems rather than reactive if-then machines. When you're always working with current information, your systems can adapt to changing conditions without manual intervention or constant updates.

Watch 'How to build AI agents with real-time internet access' and transform your workflows into intelligent research systems by starting a 14-day trial at The Rundown AI University.

Automate your content strategy with scheduled tasks

Most strategies require a lot of moving parts to be executed correctly. AI’s impact is capped by how much work it actually helps you get done. When crucial tasks get pushed to the next day, or don't happen at all, it doesn’t matter how good your prompts are.

Intelligent task scheduling solves this by automating the strategic thinking that drives your content decisions. Instead of hoping you'll remember to analyze trending topics or research competitor strategies, it’s possible to schedule these tasks to run automatically when you need them done.

With automated content strategy scheduling, you can:

• Schedule weekly content trend analysis that runs every Monday morning, delivering comprehensive topic research, viral pattern identification, and audience engagement insights directly to your inbox before content planning sessions

• Set monthly competitive intelligence reviews that automatically monitor competitor content performance, posting strategies, and audience growth tactics, giving you data-driven competitive positioning without manual research

• Automate quarterly audience analysis that compiles engagement patterns, demographic shifts, and content preference changes into strategic briefings for long-term content planning

• Implement daily lead qualification tasks that research new prospects, score them based on fit criteria, and prioritize outreach lists while you focus on closing existing opportunities

• Create weekly project status compilations that gather team progress updates, identify content bottlenecks, and generate stakeholder reports without manual data collection

What this means for you: In many roles, content strategy is required whether you remember it or not. You’ll soon be able to see that chunks in your calendar that used to be consumed by research and analysis are now opened up for you to build on top of scheduled, automated insights. Your content performance is more likely to improve because strategic work happens systematically rather than sporadically.

Watch 'How to automate your content strategy with scheduled tasks' and reclaim hours of strategic thinking time by starting a 14-day trial at The Rundown AI University.

Learn how to use MCP to automate your workflows (with Gumloop's founder)

MCP (Model Context Protocol) has dominated the conversation amongst AI builders for a few months because it creates a common language that lets any AI tool talk to any data source without custom translation. 

This Wednesday at 3 PM EST, we're hosting an exclusive workshop with Max Brodeur-Urbas, Founder and CEO of Gumloop, and showing members exactly how to:

• Understand Model Context Protocol (MCP) and why it matters in AI workflow design

• Use MCP Scripting to add intelligence and memory to your automations

• Build a daily digest of YC company launches and draft tailored outbound emails

• Approach AI workflow automation with reliability, modularity, and scale in mind

By the end of the workshop, you'll know how to build production-grade AI agents that combine context, reasoning, and actions using enterprise workflows that can:

• Connect CRM data, email platforms, analytics tools, and research databases through standardized interfaces, eliminating integration maintenance overhead across sales operations

• Unify development environments where AI coding assistants access repositories, documentation systems, and deployment platforms using universal connectors

• Integrate healthcare systems that securely connect patient records, medical devices, and compliance platforms while maintaining strict security protocols

• Link financial workflows across trading platforms, risk management systems, and regulatory databases without building separate API integrations for each

• Coordinate marketing operations that connect advertising platforms, analytics systems, content management tools, and customer databases through a single integration framework

RSVP for 'Automating workflows with AI, MCP and Gumloop' to streamline your outreach and stay ahead of the curve with daily insights by starting a 14-day trial at The Rundown AI University.

See you inside, 

The Rundown Team

P.S. Gumloop processes over 2.5 million workflow executions monthly for companies building mission-critical automation systems and handles everything from simple task automation to complex multi-agent workflows that coordinate dozens of tools and data sources. We add new workshops like this every week, so you're always learning the latest developments alongside thousands of other forward-thinking professionals. Start your 14-day trial to access this exclusive session and join our growing community here.