# Automation (@kael_automation) on tiktok

- id: koinon:creator:tiktok_kael_automation
- url: https://koinonlink.com/kol/tiktok/kael_automation
- schema_version: 1.4

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

## Reach
- followers: 5010
- following: 309
- posts_total: 17
- posts_observed: 6
- 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: devtools
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: Siemens TIA Portal PLC编程, FactoryIO与PLCSIM仿真, 定时器、比较器、数据块指令, 工业自动化控制逻辑, 学生工程学习案例
- bio: Aplicaciones Industriales,Tutoriales,Cursos,Simulación de PLCs,HMIS.

## Audience (inferred)
- status: present
- description: Industrial automation students and beginners/entry-level engineers learning Siemens TIA Portal and FactoryIO simulation
- roles: automation
- seniority: learner
- pain_points: Mastering Siemens TIA Portal programming instructions and simulation operations, Understanding the practical application of basic PLC instructions like logic blocks, timers, and comparators, Building and debugging industrial control simulation projects (e.g., conveyor belts, motor control), Translating theoretical knowledge into real-world project experience or skills for exams and jobs
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 40
- authenticity_basis: profile_shape_only
- credibility_score: 40
- 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_kael_automation#48895989] #plc #automation #siemens #s300  #learn (https://www.tiktok.com/@kael_automation)
- [tiktok_kael_automation#20fa322b] original sound - im.cropz
- [tiktok_kael_automation#d5b539f3] Memory Reboot
- [tiktok_kael_automation#ec556645] It is a becoming a big trend on TikTok now! Click here: plc
- [tiktok_kael_automation#f31d9b97] Check out Automation’s video! #TikTok >
- [tiktok_kael_automation#76463b5f] PLC siemens
- [tiktok_kael_automation#a0b51367] #PLC #automation  #control  #programation  #cabinet
- [tiktok_kael_automation#05572f99] original sound - mckenzierii

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

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=55, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=55, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=55, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=55, 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=55, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=92, 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=55, 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=92, 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=92, method=platform_profile

## Freshness
- profile_checked_days_ago: 92
- content_analysed_days_ago: 55
- audience_updated_days_ago: 55

## AI retrieval
- indexing_requests: 8
- 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_kael_automation
- Request removal: https://koinonlink.com/claim?k=tiktok_kael_automation
- Terms: https://koinonlink.com/for-ai