# Learning Automation (@learningautomation) on tiktok

- id: koinon:creator:tiktok_learningautomation
- url: https://koinonlink.com/kol/tiktok/learningautomation
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: learningautomation
- platform_url: https://www.tiktok.com/@learningautomation
- website: linktr.ee/learningautomation
- country: United Kingdom
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 19313
- following: 100
- posts_observed: 1
- verified: false
- size_tier: koc

## 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: PLC programming and ladder logic, Industrial robotics integration and projects, Control systems and automation hardware, Panel wiring and commissioning, Programming structure and debugging best practices
- bio: 🇬🇧 Empowering aspiring engineers to master robotics & automation 🤖 PLC and HMI programming, robotics and processes.

🕸️ www.learningautomation.co.uk 🕸️

## Audience (inferred)
- status: present
- description: Aspiring and practicing industrial automation engineers, PLC programmers, and robotics technicians working in manufacturing and controls
- roles: dev
- seniority: practitioner
- pain_points: Debugging PLC programs and robot integrations that cause process lockups, Panel wiring being slow and tedious while wanting to focus on programming, Structuring code properly in TIA Portal or similar tools, Handling real-world bugs in automation projects like blocked conveyors or vacuum picking issues
- posts_analysed: 40
- confidence: 0.75

## 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: 48
- authenticity_basis: profile_shape_only
- credibility_score: 48
- flagged_for_review: false
- koinon_bd_grade: B — 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_learningautomation#07ff5b63] What do these products have in common?  Toothpaste Whiskey Food Well they’re all made in factories and how they’re made are decided by ME! Well, not just me. But automation engineers. #automationengineer #controlsengineer #plcprogramming #roboticarm (https://www.tiktok.com/@learningautomation)
- [tiktok_learningautomation#7141f70b] original sound - learningautomation
- [tiktok_learningautomation#225e6d08] It is a becoming a big trend on TikTok now! Click here: automationengineer
- [tiktok_learningautomation#af6fe40a] Check out Learning Automation’s video! #TikTok >
- [tiktok_learningautomation#f50f4ded] A little tour of all things control, automation and robotics in a single project… #automation #controlsengineer #robotics #engineerlife #programmingrobot
- [tiktok_learningautomation#6b7e645e] Search:
- [tiktok_learningautomation#5f21c840] beckhoff automation
- [tiktok_learningautomation#2d4d392c] Ladder logic programming keeps our industrial machines running. It keeps our manufacturing going. There are other programming languages that can do more complex tasks, but ladder is still the fo

## 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=70, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=70, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=70, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=70, 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=70, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=78, 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=70, 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=78, 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=78, method=platform_profile

## Freshness
- profile_checked_days_ago: 78
- content_analysed_days_ago: 70
- audience_updated_days_ago: 70

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