# Prompt Case (@prompt_case) on threads

- id: koinon:creator:threads_prompt_case
- url: https://koinonlink.com/kol/threads/prompt_case
- schema_version: 1.4

## Identity
- platform: threads
- handle: prompt_case
- platform_url: https://www.threads.net/@prompt_case
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 72252
- posts_observed: 1
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00465
- best_post_interactions: 336
- measurement_source: threads_post_likes
- measurement_formula: likes on one post (Threads exposes no reply or repost count on this path)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Advanced AI model updates (e.g., GPT-Image-2, Astra, Qwen3.8, Prompt engineering and optimization, Technical AI insights and research breakthroughs, AI tooling and practical implementation (e.g., Codex), AI content distribution via Patreon and newsletters
- bio: INTP 人話講AI

## Audience (inferred)
- status: present
- description: INTP-oriented AI enthusiasts and early adopters interested in advanced AI models, prompt engineering, and technical deep dives
- roles: general_ai
- seniority: learner
- pain_points: Struggling to find comprehensive, up-to-date AI tutorials and technical insights beyond public social posts, Finding it hard to keep track of cutting-edge AI model developments and their real-world implications, Lacking access to structured, in-depth content on AI prompt engineering and model capabilities, Difficulty in evaluating the practical performance and trade-offs of new AI models like Qwen3.8-Max or GPT-Image-2
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 96
- authenticity_basis: engagement_observed
- credibility_score: 96
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [threads_prompt_case#63b3ef71] 最近很多人問我在哪裡可以看到我整理的 AI 教學與觀點，其實我有一個 Patreon，現在已經超過 2400 個會員，裡面有許多在 Threads 沒有的免費文章可以直接閱讀，請不要錯過喔！ 歡迎大家先訂閱免費會員，每週會收到最新的內容更新，訂閱後你們的電郵就會收到每次更新的專屬的電子報。 專屬 「Threads 會員優惠專區」正式開放。 如果你願意支持我，升級成正式會員後，能以優惠價立即解鎖最高權限，超過 200 篇付費教學內容，包括高階提示詞庫與大量 AI 進階技巧教學。目前開放 7 天免費試用，想深入學習的朋友歡迎一起加入。 我會持續更新獨家文章， (https://www.threads.com/@prompt_case/post/DKXC4YHxMBX)
- [threads_prompt_case#d7b33d9d] 分享一個最近測試出來，我自己比較喜歡的 GPT-Image-2 提示： 放在留言：
- [threads_prompt_case#13c34228] OpenAI 下一代主要 AI 模型 Astra 的官方宣傳片！ 影片中展示這個下一代模型最近解決了 10 個在數學與理論電腦科學的長期未解的問題。這 10 個結果橫跨球體堆積、編碼理論、群論、量子複雜性、格子密碼學與極端組合學等多個領域。
- [threads_prompt_case#b175524b] 中國模型下餃子，繼 Kimi K3、Qwen3.8、DeepSeek V4 Flash 後，阿里巴巴剛剛又最新推出了最新的 Qwen3.8-Max。 這是一個原生多模態 2.4T 參數語言模型，主打長程任務規劃，多項評分已經達到 Fable、Sol Max 等 SOTA 閉源模型的水平，唯獨 1M $2/$6 性價比不太高。 還以為當初 Fable 5 設下的是高牆，想不到竟然只是一條新的起跑線。
- [threads_prompt_case#1cbb8154] Codex 實用技巧：讓 Codex Security 成為你內部的安

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=122, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=79, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=122, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=122, method=platform_profile

## Freshness
- profile_checked_days_ago: 122
- content_analysed_days_ago: 79
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 9
- user_triggered_requests: 2
- last_user_triggered_day: 2026-10-12
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=threads_prompt_case
- Request removal: https://koinonlink.com/claim?k=threads_prompt_case
- Terms: https://koinonlink.com/for-ai