# Stefan Antonelli // KI für KMU (@stefan.antonelli) on tiktok

- id: koinon:creator:tiktok_stefan.antonelli
- url: https://koinonlink.com/kol/tiktok/stefan.antonelli
- schema_version: 1.3

## Identity
- platform: tiktok
- handle: stefan.antonelli
- platform_url: https://www.tiktok.com/@stefan.antonelli
- country: Germany
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 8560
- following: 129
- posts_observed: 8
- verified: false
- 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: 0.95
- category_source: derived_from_recent_content
- topics: aktuelle KI-Modelle und Releases (Claude, GPT, Gemini, Flux), praktische Prompts und Prompting-Techniken, KI-Automatisierung für Büro und Handwerk (Anrufe, Ads, Codin, EU-KI-Regulierung und Kennzeichnungspflicht, Einstieg in KI für KMU ohne technisches Vorwissen

## Audience (inferred)
- status: present
- description: deutsche KMU-Unternehmer und Führungskräfte (vor allem Handwerk und kleine Büros), die KI praktisch im Alltag einsetzen wollen
- roles: general_ai
- seniority: decision_maker
- pain_points: verpasste Anrufe auf der Baustelle oder beim Kunden kosten direkt Aufträge und Umsatz, nicht wissen, wo man bei KI überhaupt anfangen soll und von der Tool-Flut überfordert sein, EU-Kennzeichnungspflicht für KI-Inhalte und Compliance-Risiken, hohe Kosten für Enterprise-Tools ohne klare Nutzungs- und Kostenkontrolle
- posts_analysed: 73
- confidence: 0.9

## 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: 43
- authenticity_basis: profile_shape_only
- credibility_score: 43
- flagged_for_review: false
- koinon_bd_grade: C — 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
- [tiktok_stefan.antonelli#c602046e] Die meisten wissen gar nicht, wie viel Potenzial im Microsoft Copilot steckt und wie breit das Teil im Microsoft Ökosystem wirkt. Die integrierte Prompt Bibliothek zeigt dir, was alles möglich ist und liefert dir sofort nutzbare Beispiele für deinen Alltag. Du findest dort Vorlag (https://www.tiktok.com/@stefan.antonelli)
- [tiktok_stefan.antonelli#fb73ceab] original sound - stefan.antonelli
- [tiktok_stefan.antonelli#a6777905] It is a becoming a big trend on TikTok now! Click here: ai
- [tiktok_stefan.antonelli#37dbeb5a] Check out Stefan Antonelli // KI für KMU’s video! #TikTok >
- [tiktok_stefan.antonelli#885e1bee] Die Gemini Prompt Gallery zeigt dir, wie du mit fertigen Vorlagen sofort produktiv wirst. Die Sammlung lief

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

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=28, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=28, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=28, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=20, 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=0, 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=20, 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=20, method=platform_profile

## Freshness
- profile_checked_days_ago: 20
- content_analysed_days_ago: 0
- audience_updated_days_ago: 28

## AI retrieval
- indexing_requests: 1
- 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=tiktok_stefan.antonelli
- Request removal: https://koinonlink.com/claim?k=tiktok_stefan.antonelli
- Terms: https://koinonlink.com/for-ai