Leaves In The Garden
AI-guided problem-solving workspace

Figure out what to do. Then prove it worked.

Define the outcome as something you can observe, test your assumptions with real actions, and measure the delta — until it is zero.

Start a workspace See how it works

Task managers start once you already know what to do. This is the part before the task list.

One loop, until the delta is zero

A workspace holds one problem. Every round runs the same five steps; the delta tells you what to do next.

  1. 1 / 5

    Context

    Limit it to the variables that matter.

  2. 2 / 5

    Desired Outcome

    An observable event — what, why, who, where, when — with measures of success.

  3. 3 / 5

    Assumptions

    The most likely paths, written down so they can be tested.

  4. 4 / 5

    Actions

    By you or by an AI — it doesn't matter who.

  5. 5 / 5

    Results → Delta

    Compare with the outcome. The most important data is the delta.

We want a delta of zero.

Why not just a chatbot?

  • Persistent context

    The workspace remembers the problem, not just the last message.

  • A testable goal

    The outcome is an observable event, so you can tell when you have arrived.

  • The loop verifies

    Results are compared with the outcome; the delta says what to do next.

“It’s like you have a Ferrari but you don’t have anywhere to drive it.”
On using AI without a direction