The Intelligence Loop: Why Everything Smart Has a Little Circle Running Inside It
As a person with a strong software engineering background I have been fascinated to explore the worlds of mechanical, electromagnetic and electronic engineering here at ePropelled and how they interact with the world of software engineering.
My job title includes the word 'intelligence' and it has become extremely clear that there is a great deal of intelligence built into everything that ePropelled builds.
What do I mean by 'intelligence' in this context?
When you strip clever machines down to their essentials, you find a surprisingly simple pattern hiding underneath: a loop.
Not a metaphorical loop—a literal cycle where a system senses, interprets, acts, and checks what happened, over and over again.
Once you notice it, you see it in everything from 19th-century steam engines to modern AI.
And the best part? This loop works across completely different types of systems: mechanical, electronic, and software.
Let’s take a tour through each.
What the Loop Looks Like
The diagram lays out the basic cycle:
It’s the universal heartbeat of a “smart” system.
What changes from system to system is how each part is built.
1. Mechanical Loops: The Steam Engine That Knew When to Calm Down
Take the classic flyball governor, one of the earliest engineered feedback systems.
It doesn’t use electronics, code, or even explicit rules.
But it still runs the loop beautifully:
The system behaves intelligently not because it’s “aware,” but because the loop continuously turns motion into control.
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2. Electronic Loops: Circuits That Keep Things Steady
Move ahead a century and you find the same loop running inside analog controllers and everyday electronics.
A great example is a PID controller keeping a quadcopter stable:
Even though nothing here is “thinking” in a human sense, the loop lets the system respond rapidly, smoothly, and reliably to a changing world.
3. Programmatic Loops: Software That Learns What Works
At the digital end of the spectrum, the loop becomes flexible and adaptive.
Imagine a simple reinforcement-learning agent:
The components are the same as in the mechanical and electronic loops, but now the internal “knowledge” changes over time.
The loop doesn’t just stabilise behaviour—it improves it.
Why This Loop Matters
Because no matter how different these systems look on the outside, they all succeed for the same reason:
they continuously connect sensing, understanding, action, and feedback.
That’s the secret behind:
Smart behaviour comes from the cycle—not the material.
Once you see the loop, systems that seemed unrelated suddenly share the same underlying rhythm.
And that rhythm is what unlocks for ePropelled the 'intelligence' of the solutions both for ourselves and our customers.
Love this Robert! A laymans terms explanation of what is happening in the technology around us?
Nice. I agree it is "loops everywhere". The dark side is there too of course, chaos and oscillation. Tuning the loops seems to be my main task these days as I wrestle with Claude and co.