Delegation, Not Instruction
The difference between a struggling AI project and a thriving one often comes down to one thing: did you instruct it, or did you delegate to it?
Stop Micromanaging Your AI
Most people treat AI like a very fast typist. Step one, do this. Step two, do that. Click here. Parse this. Save there.
This is insane. You have a system that can understand context, reason about goals, and figure out steps you never thought of — and you're giving it a checklist.
That's not using AI. That's wasting it.
The instructions assume you thought of everything. You didn't. They assume the world won't change. It will. They assume AI doesn't know anything you didn't tell it. It knows more than you can possibly instruct.
What Delegation Actually Is
Delegation is the transfer of authority along with responsibility.
When you delegate, you don't specify every step. You specify the outcome, the constraints, and the context. Then you trust the delegate to figure out the path.
INSTRUCTION
"Open file X, read lines 10-50, extract emails matching pattern Y, save to file Z"
DELEGATION
"Find all customer email addresses from last month's support tickets"
The instruction breaks if anything changes. The delegation survives because it captures intent, not implementation.
The Formula
Effective delegation has three components. Miss any one, and it fails.
outcome + context + constraints = delegation
Outcome: What does success look like? "Customer gets their refund processed" is an outcome. "Click the refund button" is instruction.
Context: What's relevant? Customer history. Refund policy. The edge cases that actually matter.
Constraints: Where are the boundaries? Budget limits. Time windows. When to escalate. Constraints aren't restrictions — they're guardrails for trust.
Feel the Difference
Here's how you know you've made the shift:
You describe what you need. You watch the AI figure out how. It takes a path you didn't anticipate — and it works. You realize you would have over-specified. You would have constrained it to your limited imagination.
You asked it to "summarize customer feedback from Q3." It found sentiment patterns you didn't ask for, flagged three accounts at churn risk, and drafted responses. You would have asked for a summary. It delivered insight.
That moment — when the AI solves a problem better than your instructions would have — that's when you understand. You're not programming anymore. You're leading.
Tell machines what to do. Tell intelligence what you need.
Start delegating to your AI orchestra.
TRY THE PLAYGROUND→