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Learn the key concepts of this lesson
Shipping fast is not about cutting corners. It is about collapsing the time between an idea and real feedback. AI products move quickly because the underlying tools change quickly. If you do not ship, you do not learn.
Perfection feels safe because it delays judgment. But in AI, the real risk is building the wrong thing. The fastest path to quality is feedback, and the fastest path to feedback is a small, shippable MVP.
Think in experiments, not features. Every idea should fit into a short loop:
If you cannot explain the hypothesis in one sentence, you are not ready to build.
A good MVP has three traits:
Perfection mode tries to solve multiple problems at once. MVP mode solves one problem end to end, then improves it. The difference is focus, not quality.
Ask these questions:
If you answer those, you have an MVP. Everything else is optional for now. Make the outcome measurable. Examples:
The goal is not a perfect metric. It is a clear, consistent signal.
Use a guide like Couples Experiences Melbourne 2026 as your test dataset.
Define the MVP:
Then define your success criteria:
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Keep the workflow thin. If you can manually do the hard parts in day one, do it. Automate only after the flow works.
Day 1: Build the core workflow by hand.
Day 2: Automate the steps that repeat.
Day 3: Put it in front of one real user and watch them use it.
Repeat the loop until the value is obvious or the idea is clearly wrong.
Use a tiny spec to keep scope tight and visible.
mvp:
user: "content editor"
outcome: "ranked list of 10 experiences"
input: "one guide URL"
time_box_minutes: 2
success_criteria:
- "7 of 10 items accepted without edits"
- "saves 30 minutes vs manual"
Pin this next to your build. If a feature does not help the spec, it does not ship.
If you cannot fill in the one-liner, your scope is still too big.
Lesson 2 walks you through building your first AI agent with clear inputs, outputs, and guardrails.