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Get Started Free →Use when a meta-agent request is too ambiguous to safely generate, package, publish, or adapt without one to five targeted questions.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-14 | ✗→✓ | ▲ Improved | -11% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 218% | 0% |
| case-20 | ✗→✓ | ▲ Improved | 73% | 0% |
| case-13 | ✓→✗ | ▼ Worse | 37% | 0% |
| case-05 | ✓→✓ | = Same ✓ | 7% | 0% |
Ask only questions that change the generated package, runtime adapter, safety boundary, or public/private release decision.
For /hep-build creation or behavior-changing packaging, this is not a substitute for the Builder Interview and Research Gate in docs/builder-interview-research-gate.md. Run that gate first: ask an 8-12 question first batch, research similar agent repositories or comparables and academic/professional theory, then use this clarify loop only for the remaining narrow ambiguities.
independent ownership boundaries are unclear, ask before generation. The first batch must include this plain-language question: "이 일을 한 명의 전문가가 처음부터 끝까지 맡으면 되나요, 아니면 조사/분석/검토처럼 여러 전문가가 나눠 맡고 마지막에 합쳐야 하나요?"
must be synthesized, and whether artifacts are sequential dependencies or independent parallel packets.
functional-quality questions remain, return to the Builder Interview and Research Gate instead of pretending the package is ready.
This loop shares the briefing interview engine's contract (agentlas_cloud/interview/): a question is only worth asking if the answer would change execution, not just its phrasing. Respect the surface budget (chat 3-5 in one batch, stormbreaker <= 8 across two batches, build 8-12 plus follow-ups). 'decide later' is always a valid answer — record it as deferred, never re-ask. When answers you auto-confirmed from code/memory reach three in a row, the next question must go to the human.
조사/분석/검토처럼 여러 전문가가 나눠 맡고 마지막에 합쳐야 하나요?
Never ask non-technical users to choose internal labels such as single-agent, team-builder, ownership boundary, memory/context, synthesis, or produces/consumes. Translate them before asking:
If a question still sounds technical, split it into two shorter everyday questions and give examples such as 조사, 분석, 검토, 승인.
See docs/clarify-question-loop.md.
Other measured skills in the registry, with their headline benchmark lift.