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Academy Primitive

Decision Clinics

Decision Clinics are short artifact-first drills. They do not teach the whole workflow. They force one call under pressure: inspect the packet, choose the move, and defend it before you see the reveal.

Open Clinic 01 Open Clinic 02 Open Clinic 03 Back To Home

Step 1

Read The Packet

Start from artifacts, not explanation. Clinics should feel like opening someone else's run and deciding what matters first.

Step 2

Make The Call

Choose the model, the stop rule, the next move, or the refusal. The point is to commit before the answer is shown.

Step 3

Compare To The Reveal

After you write the note, compare your reasoning to the reference reveal and decide what evidence would change your mind.

Why Clinics Exist

Topics teach one workflow move. Examples teach one runnable slice. Tracks teach the full connected workflow.

Decision Clinics do something different:

  • they start from artifacts instead of setup
  • they compress the lesson into one judgment
  • they train restraint, not just execution
  • they make hidden evaluation and weak-slice thinking feel normal

That makes them one of the clearest ways to keep AI Academy distinct from a general tutorial site.

Clinic Loop

Use the same loop every time:

  1. open the clinic
  2. read the artifact packet before the explanation
  3. write a short decision note
  4. reveal the reference answer
  5. state what evidence would justify changing your call

The note should stay short. Four to six sentences is enough if the reasoning is concrete.

What A Good Clinic Produces

A good clinic leaves behind:

  • one selected action
  • one rejected tempting action
  • one piece of evidence that drove the choice
  • one piece of evidence still missing
  • one short stop-or-continue rule

If the student only says which model "won," the clinic failed.

First Clinic

Start with Public/Private Restraint.

It is a strong first template because it trains three habits at once:

  • public gain is not proof
  • hidden evaluation matters more than visible rank
  • the right move can be to stop, not to keep searching

Starter Clinic Pack

Use the first three clinics as a compact judgment ladder:

  1. Public/Private Restraint for leaderboard restraint
  2. Leakage Or Signal? for feature-availability discipline
  3. Review Budget Freeze for threshold and queue-policy discipline

That gives AI Academy a reusable clinic surface across three common failure modes:

  • flattering public gain
  • fake feature improvement
  • a policy that looks good until the queue limit matters

After The Starter Pack

Do not stop at the reveal. Route immediately into the matching workflow:

If you only want one default clinic-to-track handoff, use Public/Private Restraint -> scikit-learn Validation and Tuning -> Mock Tasks and Timed Workflows.

When To Use Clinics

Use a clinic:

  • after one example, before a full track
  • when the student keeps chasing the flattering score
  • when the weak slice is visible but the next move is unclear
  • when you want a short weekly judgment drill

Use a track instead when the student still needs the full workflow.