The TURNS Method

Every AI win is a series of good turns.

TURNS helps a team pick the right AI pilot, test it honestly, keep people in charge, and decide on evidence whether to start, continue or stop.

Get the one-page handoutSee ENABLE, its prompt companion →
TTarget the MissionUUnderstand the HumansRRehearse with AINNavigate the RulesSSustain and Debrief

START WITH T. RETURN TO ANY TURN WHEN THE EVIDENCE CHANGES.

The five turns

One proven habit from each world

Each turn borrows a habit from UX research, television production or mission planning. It's a loop, not a checklist: interviews in U can send you back to T, and live results in S can send you back to any turn.

The TURNS pathFive turns in order: Target the Mission, Understand the Humans, Rehearse with AI, Navigate the Rules, Sustain and Debrief. Arrows return from later turns to any earlier turn when the evidence changes. Gate 1, Greenlight, sits between U and R: selected in T, checked through U. Gate 2, On Air, sits between N and S and is recorded in S. Gate 3, Renewal, sits in S and is based on live evidence. Three threads run under every turn: evidence, human responsibility and iteration. The Director stays in the booth.Return to any earlier turn when the evidence changes1Greenlight2On AirTTargetthe MissionUUnderstandthe HumansRRehearsewith AINNavigatethe RulesSSustainand Debrief3RenewalEvidenceHuman responsibilityIterationGreenlight: selected in T, checked through U. On Air: recorded in S. Renewal: based on live evidence.The Director stays in the booth
T

Target the Mission

What outcome matters, and how will we know it worked?

BORROWED FROM · COMMANDER'S INTENT

YOU LEAVE WITH

A Target Statement: purpose, end state, evidence and limits, with an owner and a Decider

U

Understand the Humans

Who does this work, where does it hurt, and what would earn trust?

BORROWED FROM · UX RESEARCH

YOU LEAVE WITH

A workflow map, an evidence trail and a trust baseline

R

Rehearse with AI

Can a rough version on real approved cases pass a dress rehearsal?

BORROWED FROM · TV TABLE READS AND REHEARSALS

YOU LEAVE WITH

A locked script and an independently scored rehearsal

N

Navigate the Rules

Where must a human review, approve or override? What is off-limits?

BORROWED FROM · RULES OF ENGAGEMENT

YOU LEAVE WITH

Decision rights and tested controls

S

Sustain and Debrief

What did we learn, what is next, and how do we keep it going?

BORROWED FROM · AFTER-ACTION REVIEW AND POST-PRODUCTION

YOU LEAVE WITH

A debrief, a recorded gate decision and a review rhythm

INSIDE R · REHEARSE WITH AI

Protect the final test

A rehearsal only counts if the AI never saw the final cases. Teach, tune and evaluate with separate cases, and lock the script before the sealed cases are opened.

Protect the final testThree separate sets of cases. Demonstration cases teach the technique and never prove readiness. Development cases are for tuning, one change per take, with a version log. The script, sources and criteria are then locked, and the sealed final cases are opened once. Tuning afterward requires fresh final cases.01 · DEMONSTRATIONTeach the techniqueDemonstration outputsnever prove readiness.02 · DEVELOPMENTTune one change per takeCalibrate scorers. Repeat trapcases. Keep a version log.03 · SEALED FINALOpen final cases onceLock script, sources and criteria.Keep keys out of AI input.v1v2v3v4LOCKEDBEFORE OPENINGTUNING AFTERWARD REQUIRES FRESH FINAL CASESTEACH, TUNE AND EVALUATE WITH SEPARATE CASES

Three threads

What runs through every turn

Evidence, human responsibility and iteration aren't extra stages. They never happen at only one point, so they don't get letters.

Evidence

Write down what you know, how you know it, and what you don't know yet. Missing evidence is never a pass and never a zero.

The Director stays in the booth

AI is the crew. People make the calls, and they need four things to do it well:

  • The source material
  • Time to actually check
  • Authority to reject, edit or pause
  • A route to escalate and restart

Iteration

Every mission, map and rule is a current version. Changing your mind on new evidence is the method working, not failing.

A television director, seen from behind in a headset, faces a wall of monitors in a control room, with the red tally light lit.
Illustration created with AI. Photography wasn’t allowed.

Three decision gates

Evidence opens a gate. The calendar doesn't.

Keeping three separate decisions stops a promising rehearsal from being mistaken for proven value. Every call is written down, and a well-supported "stop" is a good result.

GATE 1

Greenlight

Is this problem worth investigating?

Calls: Greenlight call (proceed, revise, park)

Who decides: The problem owner. The selection stays provisional.

GATE 2

On Air

Should we authorize a limited live pilot?

Calls: On Air call (go, adjust, no-go)

Who decides: A named Decider, only after required controls are verified.

GATE 3

Renewal

Should we continue, adjust or expand?

Calls: Renewal call (continue, adjust, expand, stop)

Who decides: A named Decider, on live evidence. New scope needs its own evidence.

Inside every turn · the prompt companion

ENABLE: six steps to a better AI prompt

TURNS guides the work of adopting AI. ENABLE frames each request inside that work, then checks what comes back.

Free cardFull guide by email
STEPWHAT YOU DECIDEASK YOURSELF
EEstablish the aim
The purpose, the people served, and what success looks like
What will this help someone do?
NName the perspective
The expertise or viewpoint that sharpens the answer
Whose judgment should shape this?
AAnchor in context
Background, sources, examples, and which facts are confirmed or assumed
What must the AI know?
BBuild the brief
The deliverable, format, method, and checkpoints
What should I receive, and where should it pause?
LLimit the scope
Audience, tone, length, exclusions, privacy, and human approval
What must it respect, avoid, or leave to me?
EEvaluate
The checks, feedback, and revisions
What will I verify, and what should change?

After Evaluate, take another turn: revise the prompt or the work, then run it again.

Match the effort to the cost of being wrong

Quick

The stakes are low and the result is easy to check.

Steps: Establish, Build, Limit

Example: Tightening a short email

Standard

Most everyday work.

Steps: All six

Example: A client update or a one-page brief

High-stakes

Others will act on the result, or it touches money, people or public claims.

Steps: All six, plus a named approver, checkpoints and independent verification

Example: A pilot plan, a policy summary, an analysis for a decision

The Director Stays in the Booth

A Human-Centered Method for Putting AI to Work Without Losing the Plot

RICHARD TURNER

IMAGE SLOT · REPLACE WITH FINAL COVER · 2:3, 1600 × 2400 PX

The book · coming soon · cover concept

The full method, with the stories behind it

The Director Stays in the Booth walks through every turn, thread and gate with lessons from television, UX and mission software. Join the waitlist for launch news and an early chapter.

What TURNS is not

  • Not a software method. No coding is required to run a first pilot.
  • Not legal clearance. It helps you spot when you need qualified advice. It doesn't replace it.
  • Not a promise of results. It promises an honest decision, not a particular outcome.

FREE DOWNLOADS

TURNS one-page handout
The five turns, threads and gates on one sheet
→
Pilot Selection Scorecard
With the Target Statement worksheet
→
ENABLE prompt card
No signup
→

Want help running your first turn?

Learn TURNSDiscuss a workflow