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Proofboard

Building got easier.
Choosing well didn’t.

We’re building Proofboard because we’ve seen the same problem too many times: good people putting serious effort into work that was never properly questioned.

A familiar starting point“We should build this.”
The space Proofboard createsShould we?

Problem · Evidence · Judgement

A considered next stepBuild. Investigate. Or stop.

A familiar problem.
A new urgency.

An ideaWorking software

Who is it for?

What do we know?

Why this, now?

The thinking in between.
Easier to skip. Still essential.

Across our working lives in software development, we’ve watched ideas become plans before the underlying problem was clear. A customer request, a strong opinion or a convincing demo can quickly become something a team is expected to deliver.

The missing work is often the thinking in between. Who is affected? What do we already know? Which assumptions are we making? And is this the right problem to invest in at all?

Now AI makes it possible to move from an idea to working software faster. That is an extraordinary opportunity. But it also makes those questions easier to skip. A solution can start looking real long before the reason to build it has been established.

More output.
Not necessarily
more progress.

Our concern isn’t that teams are using AI. It’s that speed can become a substitute for judgement — and activity can start to look like value.

We want AI to help people think more clearly, not just produce more. That means bringing the company’s knowledge, evidence and unanswered questions into the decision before capacity is committed.

Faster building should follow better thinking.

The pause that makes
the next step better.

Proofboard brings structure to the work before the first prompt. Not to make every decision heavier, but to help teams give it the right amount of thought.

Start with the problem.

A request is a signal to understand, not a specification to accept. Make the opportunity clear before choosing a solution.

Keep uncertainty visible.

Separate what is known from what is assumed. Use the gaps to decide what to investigate next.

Leave judgement with people.

AI helps connect, question and explain. People own the decision, the trade-offs and the reasons behind it.

See how the process works

Less unquestioned work.
More considered progress.

Start with a product decision your team is facing today.