# 江藤@AIで1日を240時間にする男｜Radineer (@RadineerE10) on x

- id: koinon:creator:x_radineere10
- url: https://koinonlink.com/kol/x/RadineerE10
- schema_version: 1.4

## Identity
- platform: x
- handle: RadineerE10
- platform_url: https://twitter.com/RadineerE10
- website: https://x.gd/OmKlN
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 7703
- following: 6224
- posts_total: 2937
- posts_observed: 1
- posts_per_day: 1.125
- account_age_days: 2611
- verified: true
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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 prompt engineering, Delegating complex work to AI models, Reducing AI-generated report inaccuracies, Scaling AI in business operations, AI workflow optimization, Transitioning from basic to advanced AI use
- bio: 生成AIの最新情報や業務活用ノウハウを日々発信中 | 合同会社Radineer 執行役員兼生成AIエバンジェリスト | 経歴:浦和高校▶︎慶應法学部▶︎Radineer | 自社ツール開発実績とエンジニアチームあり | 飲食・金融ほか業種業界問わずご支援 | スポットAI顧問のご相談は公式LINEへ✉️

## Audience (inferred)
- status: present
- description: Business leaders and operational managers in Japan who are adopting AI for workflow automation, especially those in food service, finance, and cross-industry roles looking to scale productivity with advanced AI models
- roles: ecom_ops
- seniority: decision_maker
- pain_points: Struggling to get accurate and reliable outputs from AI due to poor prompt engineering, Wasting time on manual oversight because AI reports are often fabricated or incomplete, Finding it hard to transition from trial-and-error AI use to full-scale operational deployment, Lacking clear, proven frameworks for delegating complex, multi-day tasks to AI models
- posts_analysed: 9
- 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: 60
- authenticity_basis: profile_shape_only
- credibility_score: 60
- 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
- [x_radineere10#d1551ae0] AIへの"丁寧すぎる指示"、もう逆効果かもしれません。。。 (https://twitter.com/RadineerE10/status/2072998803993477192)
- [x_radineere10#b739cd2a] Anthropicが最上位AI「Claude Fable 5」の公式プロンプト術を公開しました🔥
- [x_radineere10#5e3a741d] 人間が数日〜数週間かける仕事を丸ごと任せられるモデルで、"使い方"がこれまでと根本から変わります。
- [x_radineere10#a35a8b97] AIに実務を任せたい人は、保存推奨。要点を👇
- [x_radineere10#247b1698] ・最難問にこそ当てる — 簡単な作業で試すと実力を見誤る。数時間〜数週間かかる仕事を丸ごと任せるのが正解
- [x_radineere10#baee522a] ・旧来の細かい指示は逆効果 — 指示追従が強くなり、短い一文で操縦できる。前モデル向けに作り込んだ指示はむしろ品質を下げる
- [x_radineere10#cebb66c8] ・「結論から言って」の一言が効く — 放置すると冗長になるが、簡潔性の指示を一文足すだけで整う
- [x_radineere10#9b94b93f] ・進捗のウソが消える — 「報告する前に、実際のツール結果と照らし合わせてから言え」と指示すると、捏造報告がほぼ消える

## 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=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=21, 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=112, 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=0.25, 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=112, 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=112, method=platform_profile

## Freshness
- profile_checked_days_ago: 112
- content_analysed_days_ago: 79
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 9
- user_triggered_requests: 0
- 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=x_radineere10
- Request removal: https://koinonlink.com/claim?k=x_radineere10
- Terms: https://koinonlink.com/for-ai