Everything about working well with AI agents reduces to how you brief, how you hand off, and how you review. This page is the full framework: what each move actually is, what good looks like, where it fails, the management theory each one stands on — and how the score works.
Everyone has the same models. The same subscriptions, the same launch-day access. What separates 10× output from a slightly better search engine is not the AI — it's the quality of the delegation. And delegation is not one skill. It's three distinct moves, each with its own failure modes.
Brief feeds Handoff. Handoff produces output for Review. And Review — this is the part almost everyone skips — feeds the next Brief. One pass through the loop is using a tool. Repeated passes, where each Review improves the next Brief, is running a workforce that gets cheaper to manage every week.
The work you do before the agent starts: scope, curated context, constraints, and a definition of done — written the way you'd brief a sharp new hire on their first week.
Actually letting go: work running without you — in parallel, behind gates you chose deliberately — while you do something only you can do.
Judging output against the brief — not your mood — then sending it back with feedback, and folding what you learned into the next brief. The only move that compounds.
Asks AI questions, copies answers. No briefs, no handoffs, no review — a better search engine, experienced as transformation. The way up: the three-line brief — what, what good looks like, what to ignore — before every task. That single habit moves a tier.
Real technique, elaborate prompts — but one task at a time, watched while it runs, judged by vibes. The human is still the bottleneck. The way up: the second task. Start another stream before the first finishes; the discomfort is the skill forming.
Proper briefs, genuine parallel handoffs, review against a definition of done. Work finishes during meetings. What's missing is the flywheel: every task still starts close to scratch. The way up: sixty seconds after every task improving the saved brief. The only move that compounds.
A portfolio of delegated streams, evidence-calibrated trust, playbooks that improve with every run. Output has decoupled from hours — the 1933 org-chart math no longer applies. The way up from here is organisational: raise the ten people around you and become the multiplier.
Every item is a workplace caselet — a board deadline, a confidently wrong report, an ambiguous ask from a founder — with four responses scored 0–3 against the framework. Your DQ is the total, normalised to a 0–10 scale, with sub-scores for each move.
Three item types resist aspirational answering: recall items ("in the past two weeks, how many…") that ask what you did, not what you'd do; cost trade-offs where the textbook-virtuous answer is deliberately not the best one — asking for an extension scores below checking the three riskiest claims; and forced trade-offs where you can only keep one thing in the brief.
The limits, stated plainly: this is structured self-report, not observation. The Quick Score (12 items) is an estimate — useful mostly for the gap between your guess and your measurement. DQ Professional (27 items, nine per move) is the measurement worth standing behind. The highest-validity version — scoring your actual briefs as artifacts — is on the roadmap.
A non-obvious scoring choice worth knowing: full autopilot scores below gated autonomy. Shipping everything an agent produces untouched isn't high trust — it's the absence of calibration, and the framework treats it as such.
DQ is not a new philosophy. It's the oldest discipline in business — delegation — re-derived for a workforce with no self-interest, no relationships, and capabilities that change fortnightly. Where the classical theory transfers, we kept it. Where it breaks, the breaks are the framework.
| Classical theory | What agents change | Where it lives in DQ |
|---|---|---|
| Covey — stewardship vs gofer delegation | Transfers intact: prompting is gofer, briefing is stewardship | Brief |
| Jensen & Meckling — principal-agent costs | Incentive problem deleted; verification problem doubled | Review |
| Graicunas — span of control | Relationship math obsolete; specification is the new cap | Handoff |
| Hersey-Blanchard — situational leadership | Readiness now changes per model release; calibration becomes a loop | Handoff |
| McGregor — Theory X / Theory Y | Both miscalibrated for AI; trust becomes per-task evidence ("Theory E") | Handoff · Review |
| Drucker — knowledge-worker productivity | The brief is a file: delegation compounds for the first time | Review → Brief |