+ Makes the restart handoff and exclusions concrete.
- Treats the tentative queue choice as settled.
Separates what was decided from what was merely discussed, and says what to leave behind.
| Category | Using AI › Context management |
|---|---|
| Tags | SummarizingAnalyzingReviewing |
This conversation has gone long and is going in circles. **Decide whether to continue or restart.** 1. **State where it actually stands** — ***what is settled, not what was discussed.*** **Those are different and only the first one carries forward** 2. **Find where it started circling.** *Usually one unresolved question that keeps getting worked around instead of answered* 3. **Diagnose:** - **A decision was never made**, so every path leads back to it - **The requirements changed mid-way** and earlier output is still being treated as valid - **The task is bigger than one conversation** and needs splitting - **Accumulated output is now acting as context** and constraining new answers toward more of the same 4. **Verdict: continue or restart.** ***Say which, plainly*** - **Continue** → the one question to answer next, and why that unblocks it - **Restart** → **write the handoff**: settled decisions, what still has to be decided, what to leave behind, and ***what went wrong here that should not repeat*** ⚠️ ***Do not carry everything over. A restart that brings the whole history brings the problem with it.*** **Say explicitly what to drop.**
Circling usually means one unanswered question keeps getting worked around. This isolates it, rules on continue-or-restart, and — on a restart — names what must not be carried over.
Gemini is the most complete and specific but overstates a tentative decision. ChatGPT is concise yet less precise, while [C] is missing.
+ Makes the restart handoff and exclusions concrete.
- Treats the tentative queue choice as settled.
+ Concise criteria and a practical restart plan.
- The claim that nothing is settled is too strong.
| Criterion | ChatGPT | Gemini | Leader |
|---|---|---|---|
| Instruction following | 8 | 9 | Gemini +13% |
| Accuracy | 7 | 8 | Gemini +14% |
| Specificity | 9 | 9 | Tie |
| Structure | 9 | 9 | Tie |
| Right length | 9 | 8 | ChatGPT +13% |
Scored 1–10 by gpt-5.6-sol with model names hidden (2026-09-25). This is an AI review, not a measurement.
We gave three models the same input and copied their answers unedited. Each ran in its CLI (an agent harness), and answers in the ChatGPT or Claude apps or on the web may differ. Outputs are in Korean.
The conversation: 60턴 넘게 이어진 대화. 처음엔 신규 알림 시스템을 큐 기반으로 할지 웹소켓 기반으로 할지 논의하다가 큐 기반으로 잠정 결론. 이후 Redis Streams와 Kafka 중 뭘 쓸지로 논쟁하다 Redis Streams로 정함. 그런데 트래픽 처리량 얘기가 다시 나오면서 Kafka가 낫다는 의견이 나와 원점으로 되돌아감. 중간에 알림 우선순위 기능 요구사항이 추가되면서 스키마 얘기까지 섞였고, 지금은 Redis냐 Kafka냐를 다시 논의 중인데 이전에 정리했던 스키마 내용이 계속 재언급되고 있음. What I am trying to get done: 신규 알림 시스템의 메시지 큐 아키텍처를 확정하고 싶다
확정된 것은 없습니다.
Redis Streams를 정한 뒤, 실제 트래픽 처리량이 선택을 바꿀 수 있는 핵심 조건으로 다시 등장한 시점부터입니다. 그때 “Redis로 확정할 것인가, 처리량을 근거로 Kafka를 선택할 것인가”라는 질문에 답하지 않고, 이전 스키마와 논의를 계속 재사용하면서 원점으로 돌아갔습니다.
주된 원인은 세 가지입니다.
이 대화는 재시작하는 것이 낫습니다.
브로커를 먼저 확정하지 않은 채 스키마와 세부 구현을 계속 확장하지 말아야 합니다. 새 대화에서는 먼저 위 운영·트래픽 조건을 숫자로 확정하고, Redis와 Kafka를 동일한 기준으로 비교한 뒤 단일 결정을 내려야 합니다.
| Chat Summary and Export Instructions | |
| Context Migration | |
| Continue and Recap Assistant | |
| Plan how to split long material for a model | |
| Find instructions that contradict each other |