I used to think planning was the enemy of shipping. After 29 playbooks I no longer do.

I used to think planning was the enemy of shipping.

The “just build it” crowd was right and the “make a plan first” crowd was wasting time. Plans got out of date. Plans got abandoned. Plans were a way to feel productive without producing anything.

So for years I just shipped.

After 29 playbooks, an AI cofounder, a coach marketplace, and a full LMS — I no longer think this.

Here’s the reframe.

The “no planning” voice was wrong about the problem

The problem with planning was never that planning is bad. It was that the kind of planning we’d been taught was disconnected from the actual work.

Gantt charts that nobody updated after week two. Requirements docs that read like contracts and ignored what users actually wanted. Three-month roadmaps that bore no resemblance to what shipped at the end of three months.

That kind of planning is the enemy of shipping. The “just build” crowd was right to push back on it.

But they were wrong about the conclusion.

AI changed which kind of planning matters

When AI can build a feature in 20 minutes, the constraint isn’t “what can we build?” Almost anything is buildable.

The constraint is “should we build this?”

That single shift is everything. Pre-AI, the bottleneck was execution. Planning was overhead because execution was the slow part. Now execution is fast and thinking is the slow part — which means thinking is where leverage lives.

The planning that matters in 2026 is upstream of the prompt:

• Who is this for, in one sentence a stranger would understand?
• What is the one problem it solves for them?
• What does success look like, in numbers, in 90 days?
• What is the smallest version that would prove this works?
• What could go wrong, and how would I know?

That’s it. Five questions. 30 minutes. No Gantt chart. No requirements doc. No three-month roadmap.

But also — no skipping.

Skipping that 30 minutes costs you a weekend

This isn’t theory. This is hours of my life I’ll never get back.

The product I built in two days that nobody used. The feature I shipped that nobody asked for. The landing page I obsessed over that nobody saw.

Each of those started the same way: I had an idea, I opened the AI tool, I started building. Six hours later I had something working. I shipped it. Crickets.

The idea wasn’t wrong. The order was. Without 30 minutes upfront — who is this for, what problem does it solve, what’s the smallest version that proves it — AI built exactly what I asked for. Which was almost never what I needed.

The cost of skipping planning isn’t immediately visible. You only see it three weeks later when nothing’s converting and you can’t tell why.

The new loop: plan → prompt → ship → capture → reuse

The version that actually works:

1. Plan (30 min). Who is this for. What problem. What success looks like. Smallest version. What could break.

2. Prompt (the build). AI does what AI is good at — turning a clear specification into working code, copy, design. Fast.

3. Ship. Get it in front of real users as soon as it’s coherent enough to test. Don’t polish before validating.

4. Capture (10 min). Pattern, prompt, checklist, gotcha. Save the play so you can reuse it.

5. Reuse. Next time you face a similar problem, start at step 12, not step 1.

Each step is short. None of them are skippable. The “ship without planning” crowd was right that big plans are dead weight. They confused that with “no planning” — and that’s the version that’s killing solo founders right now.

AI doesn’t reward speed. It rewards direction at speed.

This is the line that took me longest to get to.

For years the operator culture I came from rewarded raw velocity. Ship more, ship faster, ship more often. AI made that even more tempting — you could ship more, faster, more often than ever before.

But the floor of execution rose for everyone. Which means raw velocity is now table stakes. Direction is the differentiator.

The people winning right now are the ones who can plan in 30 minutes, build in 30 minutes, ship in 30 minutes, capture in 10 — and then do it again, with the wisdom of the previous loop baked in.

Not the ones racing the model. The ones directing it.

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One thing to do today

The next time you sit down to build something with AI, before you open the tool, set a 30-minute timer. Answer the five questions in writing:

• Who is this for, in one sentence?
• What is the one problem it solves?
• What does success look like in numbers?
• What is the smallest version that proves it?
• What could go wrong and how would I know?

Then build.

If the act of writing that down feels slow, notice that feeling — and notice that you’ve been ignoring it for every project that didn’t work.

I wrote up the full version of how I think about this at /future-proof. And if you want to know where you stand on AI-readiness today, the free 3-minute AI Skills Audit will tell you in concrete terms.