# Jonathan Richey | AI Automation (@JonathanRichey) on youtube

- id: koinon:creator:youtube_jonathanrichey
- url: https://koinonlink.com/kol/youtube/JonathanRichey
- schema_version: 1.4

## Identity
- platform: youtube
- handle: JonathanRichey
- platform_url: https://www.youtube.com/@JonathanRichey
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 7750
- posts_observed: 1
- 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: 0.93
- category_source: derived_from_recent_content
- topics: Make.com 和 n8n 实战教程, API、JSON、CRUD、Upsert 等技术基础, AI Agent 搭建与应用（lead scraping、内容自动化）, 无代码工具构建自动化流程, 小企业AI生产力提升案例
- bio: I help entrepreneurs turn AI from a buzzword into a daily habit. I do this by teaching AI Automation solutions that solve real ...

## Audience (inferred)
- status: present
- description: Small business owners and entrepreneurs, primarily those executing automation tools or leading small teams
- roles: automation
- seniority: practitioner
- pain_points: Spending hours every day on manual tasks like data copying, pasting, and repetitive workflows, Not knowing where to start with automation—tools are overwhelming and the learning curve is steep, Having to build API integrations and AI agents from scratch but lacking a clear, systematic approach, Wanting to use AI for lead generation, content research, and daily operations, but unsure how to actually implement it
- posts_analysed: 48
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- 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
- [youtube_jonathanrichey#0a6f031a] MESA - 25 Shopify Automation Tools (https://www.youtube.com/@JonathanRichey)
- [youtube_jonathanrichey#e8f6611c] Master These 3 JSON Modules in Make.com
- [youtube_jonathanrichey#ce1c3f5c] What is JSON? (And why you MUST know it for APIs)
- [youtube_jonathanrichey#f1a5b6b6] How to Upsert in n8n
- [youtube_jonathanrichey#932a8459] How to Upsert in Make.com
- [youtube_jonathanrichey#09b3c9f3] Update + Insert = Upsert
- [youtube_jonathanrichey#33a38c2b] Master These 4 API Methods In Less Than 2 Minutes
- [youtube_jonathanrichey#be61eb05] What the CRUD?

## 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=79, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=79, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=79, 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=101, 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=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=101, 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=101, method=platform_profile

## Freshness
- profile_checked_days_ago: 101
- content_analysed_days_ago: 79
- audience_updated_days_ago: 79

## AI retrieval
- indexing_requests: 7
- 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=youtube_jonathanrichey
- Request removal: https://koinonlink.com/claim?k=youtube_jonathanrichey
- Terms: https://koinonlink.com/for-ai