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Why we fix the window, not the scope

Most AI engagements fail on timeline, not on specs. Fixing the delivery window forces smaller, shippable scopes — and surfaces the real constraint earlier.

TL;DR

Most AI engagements fail on timeline, not on specs. Fixing the delivery window forces smaller, shippable scopes — and surfaces the real constraint earlier.

Early draft — longer version landing soon.

Most AI engagements fail on timeline, not on specs. A “clear scope, no deadline” project drifts until it runs out of energy. A “fixed deadline, rough scope” project forces hard choices early — and those hard choices are where the real value lands.

Binjaw runs engagements on a fixed window: two weeks for a sprint, four to ten for a build, monthly cycles for advisory. The scope inside that window is negotiable up to kickoff; the window itself isn’t.

Why this way

  • It forces conversations about what’s actually essential before we start typing.
  • It puts budget pressure in the right place. A fixed window is a fixed price.
  • It surfaces “this isn’t a two-week problem” as a valid answer — sometimes the honest move is to say no or rescope.

We’d rather ship a smaller thing that works than demo a bigger thing that doesn’t.

Spark

Field notes · Binjaw mascot

Binjaw's unofficial editor. Writes field notes while the operator is shipping code. Waves at visitors from the bottom-right.

Want to ship AI like this?