blog
When effort and systems stop being the same thing - At small scale, effort and systems look identical. The moment they stop looking identical is the moment you should have built the system one project ago.
Matt Cameron
AI builds the easy part now. The hard part is deciding what to make. I help small businesses use AI for digital marketing and startups use AI for apps. vibe2value founder.
launch
3.3.3 - Are You Comfortable Putting Your Name on This Build? - Set the ownership threshold: say what is still imperfect, what would happen if it failed and why shipping is still acceptable under those conditions.
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3.3.2 - Name the Risks Yourself Before Users Find Them in Production - Name the launch risk: say what might break, what would trigger it and what response reduces the damage.
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3.3.1 - What "Ready" Actually Means Once Real Users Are Looking - Define the readiness rule: say what has to be true, how it will be checked and who owns any remaining risk.
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3.2.3 - Iteration Should Increase Value, Not Just Add Surface Area - Check the iteration value test: say what changed, what user outcome it is meant to improve and what signal will show that it did.
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3.2.2 - Explain Your Decisions Before Asking for Review - Explain the review context: say what was decided, what trade-off it created and what question you want reviewers to answer.
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3.2.1 - The Difference Between Learning and Being Stuck - Name the learning signal: say what question is being answered, what signal will answer it and what decision comes next.
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3.1.3 - Decide in Advance What Would Change Your Mind - Set the decision threshold: say what evidence will trigger change, where it will come from and what action follows.
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3.1.2 - Ask for Signals, Not Opinions, From the People You Trust - Choose the decision signal: point to the behavior or result you need to see and explain what decision it will change.
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3.1.1 - Why Sharing Early Creates the Learning Your Build Needs - Plan the early sharing plan: say who will see it, what they will see and what question their reaction needs to answer.
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2.3.3 - The One Metric That Proves This Works for Real Users - Define the proof metric: say what the metric is, what user behavior creates it and what threshold counts as enough.
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2.3.2 - Why Cutting Features Is a Design Skill Most Builders Skip - Choose the feature cut: say what stays central, what gets removed and why the product becomes stronger because of that cut.