# 猪瀬 竜馬 | amptalk アンプトークCEO | AI Sales | 海外セールスデータ (@ryomainose) on x

- id: koinon:creator:x_ryomainose
- url: https://koinonlink.com/kol/x/ryomainose
- schema_version: 1.4

## Identity
- platform: x
- handle: ryomainose
- platform_url: https://twitter.com/ryomainose
- website: https://amptalk.co.jp/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 5234
- following: 423
- posts_total: 4229
- posts_observed: 15
- posts_per_day: 1.532
- account_age_days: 2761
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00287
- best_post_interactions: 15
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- 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: 0.89
- category_source: derived_from_recent_content
- topics: AI replacement rates in customer support, Salesforce Agentforce and vendor metrics, Realistic AI performance from Intercom/Gorgias/Zendesk, Maintaining CSAT while scaling AI automation
- bio: AI × Sales | 営業に関して海外の最新データと共に発信| amptalk アンプトークCEO | AI商談解析とロープレで、勘と根性の営業を終わらせる。| Salesforceアンバサダー | グローバル基準の営業Tipsが満載

## Audience (inferred)
- status: present
- description: Sales and customer support professionals evaluating realistic AI capabilities in ticket resolution and sales conversations
- roles: sales
- seniority: practitioner
- pain_points: Vendor claims (Salesforce, Gartner) appear inflated compared to real-world 40% resolution rates, AI automation often reduces solution quality and CSAT on complex cases, Difficulty distinguishing hype from achievable AI impact in support/sales workflows
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 79
- authenticity_basis: engagement_observed
- credibility_score: 79
- 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_ryomainose#6d701145] Gartner : 2029年までに80%のカスタマーサポート業務はAIでリプレイスされる。 (https://twitter.com/ryomainose/status/2038030879180697885)
- [x_ryomainose#a3954b2e] Salesforce: Agentforceは84%を既にAIで解決できる
- [x_ryomainose#fb5ba418] Jason: 正直に言えば、Salesforce は少し誇張しているか、少なくとも指標を盛っているように思う。Intercom、Gorgias、Zendesk などが現在確認しているところでは、AI が現実的に解決できるのはチケット全体の最大 40％ほどで、難易度の高い案件ではその割合はさらに低くなります。そうした難しいチケットは多くの場合、人間の担当者にエスカレーションされます。
- [x_ryomainose#f697c385] 一部の顧客はこの割合を 40％を大きく超える水準まで高めていますが、その場合は解決の質が下がる傾向があります。AI だけで顧客サポートの問題を 80％解決しつつ、高い CSAT（顧客満足度）を維持するのは、多くの企業にとって現実的ではありま

## 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=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, 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=108, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 79
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 6
- 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_ryomainose
- Request removal: https://koinonlink.com/claim?k=x_ryomainose
- Terms: https://koinonlink.com/for-ai