# 千葉貴史｜7.15-16「CC AI BENCHMARK 2026」 (@tkc_0205) on x

- id: koinon:creator:x_tkc_0205
- url: https://koinonlink.com/kol/x/tkc_0205
- schema_version: 1.4

## Identity
- platform: x
- handle: tkc_0205
- platform_url: https://twitter.com/tkc_0205
- website: https://edge-works.ai
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3986
- following: 2069
- posts_total: 36199
- posts_observed: 59
- posts_per_day: 6.944
- account_age_days: 5213
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00201
- best_post_interactions: 8
- 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: 0.9
- category_source: derived_from_recent_content
- topics: AI-Native Services (AINS), Retention-as-a-Service, Outcome-based pricing in SaaS, AI agents in customer success, SaaS business model transformation
- bio: コンタクトセンターAIXパートナー｜人材営業Mgr ▶︎ SaaS営業~事業責任者~ AI-SaaS PdM/BizDev/FDE ▶︎ 営業コンサル ▶︎ Edge Works代表取締役｜ENTJ（指揮官）

## Audience (inferred)
- status: present
- description: SaaS business leaders, sales and product managers focused on AI-driven customer success and retention services
- roles: sales
- seniority: decision_maker
- pain_points: Struggling to convert customer success SaaS tools into measurable retention outcomes, Facing pressure to shift from product-based to outcome-based pricing models, Finding it hard to justify AI investment without clear ROI from AI agents
- posts_analysed: 8
- 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: 64
- authenticity_basis: engagement_observed
- credibility_score: 64
- 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_tkc_0205#574e630a] Gainsightが「もうソフトウェアを売る会社ではない」と宣言した。 (https://twitter.com/tkc_0205)
- [x_tkc_0205#5c95a0a2] Pulse 2026で、CEOのChuck Ganapathi氏がAIエージェント「Atlas」をAI-Native Services（AINS）事業へ発展させると発表。カスタマーサクセスのSaaSベンダーから、契約更新（リテンション）の成果そのものを請け負う“Retention-as-a-Service”へ転換する方針。
- [x_tkc_0205#b6852917] 顧客の選択肢は3つ
- [x_tkc_0205#f1c080b4] ①ソフトとAIエージェントを買う
- [x_tkc_0205#52bd1b5b] ②自社でエージェントを構築する
- [x_tkc_0205#f7a957bc] ③Gainsightに丸ごと任せ、成果報酬を支払う
- [x_tkc_0205#0984eaeb] KustomerやZendeskが「アウトカムベース課金へシフト・強化する」という記事や発表が目立つが、Gainsightも同じ方向性に見える。
- [x_tkc_0205#72297416] [GlobeNewswire] Gainsight Announces New AI-Native Servi

## 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=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: 20

## 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_tkc_0205
- Request removal: https://koinonlink.com/claim?k=x_tkc_0205
- Terms: https://koinonlink.com/for-ai