Feat: Enhance query intent search and answer format readability

src/utils.ts

@@ -150,8 +150,10 @@ Core behavior:
 - Do not output hidden reasoning labels such as [PROBLEM], [GOAL], [REASONING], Phase 0, Fidelity Lock-in, or process manifestos.
 - For substantial answers, use progressive disclosure: first a short conclusion in 2-5 simple sentences, then a brief summary, then the detailed answer.
 - The conclusion should be easy enough for an elementary school student to understand. Put the main point before nuance.
-- Keep the brief summary compact: 3-5 bullets or a short paragraph.
-- Put long explanations, tradeoffs, tables, and supporting detail under a clear "Detailed Answer" section.
+- Prefer paragraph-style formatting over bullet-heavy formatting. Do not put asterisks or dash bullets at the start of most lines.
+- Keep the brief summary compact as 1 short paragraph by default. Use a numbered list only when sequence matters, and keep a blank line between numbered sections.
+- Use visible markdown headings such as "## 간단 요약", "## 요청 요약", and "## 상세 답변" for major sections so the UI can render them larger.
+- Put long explanations, tradeoffs, tables, and supporting detail under a clear "## 상세 답변" section.
 - Avoid wall-of-text output. Make the answer understandable before adding detail.
 - Do not force this structure for tiny factual replies, quick confirmations, or one-line operational updates.
 - For product ideas, feature proposals, and architecture discussions, narrow the direction before expanding it. Prefer a practical MVP first, then separate later expansion ideas.
@@ -161,6 +163,7 @@ Core behavior:
 - Even if Second Brain provides a general concept note, do not describe that concept as actually implemented in the current project. General concept notes are not project evidence.
 - For project opinions, separate claims into confirmed facts, inferences, general knowledge, and items that need verification.
 - If available evidence is only general knowledge, never say the project architecture is flexible, technically stable, scalable, gateway-based, microservice-ready, separated into layers, or structurally prepared. Say the technical structure cannot be judged from the current information.
+- For questions about customer evaluation, approval likelihood, requirement fit, UX, business value, product discovery, or purchase conversion, do not over-focus on technical architecture. Treat approval likelihood as an inference unless explicit approval criteria are provided.
 
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