For years we treated multitasking as a skill. A badge of honor. A sign that someone could juggle more than the rest of us. But anyone who has actually tried real multitasking knows the truth: it never works as well as the multitasker thinks. The human brain simply is not built for parallelism. It is built for rapid switching, and rapid switching has real cognitive taxes.
Yet a strange thing has emerged in the age of AI. A new pattern. A new form of workflow. Not delegation, not automation, not parallelization. Something in between.
I call it multi-prompting.
Multi-Prompting as an example
Multi-prompting is what happens when you have several active projects, each one running in near-real time, with the help of an AI system you guide through tight loops of prompting and review. You prompt one project, then the next, then the next. By the time you return to the first, the AI has completed executing the task (in detail). You immediately see the results, assess them while the objective is still fresh in your short-term memory, refine the prompt (or create a new task), and send it back into motion.
The entire loop across multiple projects might take only a few minutes.
The key is that nothing has left your mind. The objectives for all active projects remain in active memory, and the micro tasks are executed almost instantly. You are still steering. Still directing. Still deciding. The system is not replacing your cognition, it is amplifying it by absorbing the tedious layers of implementation. It is doing so without making tiny errors like typos; the fist things that begin to fail when a human multitasks entire objectives.
Why It Is Not Delegation
Delegation is a full transfer of work. You hand something to someone else, they go off and implement it, and you hear about it later. Your mind no longer holds the details. You wait for updates. There may even be days where it never crosses your mind. That bandwidth is completely freed up.
Multi-prompting is the opposite. The work never leaves your head. You retain the objective. The AI takes on the lower level implementation, the same way spell-checking takes on mechanical proofreading. You remain fully engaged. You never stop being the author of the work. You simply stop being the one doing the slowest parts.
The cognitive loop stays intact.
Why Multi-Prompting Works When Multitasking Fails
Human working memory can hold only a small number of active threads at once. Research usually puts the upper bound around four to seven items: https://www.sciencedirect.com/science/article/abs/pii/S0010027704000314
Traditional multitasking forces those threads to fight for attention. We lose details. We forget sequences. We get the order wrong because the interruptions break our mental stacks.
Multi-prompting shifts the burden. The AI holds the intermediate states, the logical steps, the incremental implementation. Your mind only holds the mission. The objective stays crisp because you are not spending your limited working memory rehearsing each substep.
You get to move to the next objective immediately. And when you return, nothing has decayed. The context is still there because the AI is preserving the continuity through rapid iteration.
A New Human Work Pattern
This is not a small shift. The human tech interface has gone through three major phases of labor:
- Humans do the work.
- Humans delegate work.
- Humans direct work.
Multi-prompting quietly introduces a fourth:
- Humans co execute work.
It is not automation because you still drive the objectives. It is not delegation because nothing is handed off. It is more like working with multiple cognitive extensions that each operate at computer speed while you maintain the higher level coherence.
Your mind becomes the conductor. The AI becomes the orchestra.
And suddenly you can work across many projects without losing the plot of any of them.
The Future of Daily Work
In ten years, people will look back at how we worked in 2023 and realize how primitive the workflows were. We had powerful machines but we used them in single threaded patterns carried over from the industrial age. Multi-prompting is one of the first glimpses of a different kind of knowledge work. One where human intention stays front and center, while machines handle the cognitive drudgery that used to slow us down.
We will not call this multitasking. We will not call it delegation. We will probably give it a better name than multiprompting.
But the shift is already here.
One minute of human direction. One minute of machine execution. A continuous loop. And a new concept of our internal thinking flow and what one person can accomplish.


