# GenAI Unplugged (@genaiunplugged) on youtube

- id: koinon:creator:youtube_genaiunplugged
- url: https://koinonlink.com/kol/youtube/genaiunplugged
- schema_version: 1.4

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

## Reach
- followers: 7260
- 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: 0.95
- category_source: derived_from_recent_content
- topics: n8n workflow building and limitations, Claude Code / Claude agent usage and prompting techniques, AI automation ROI decisions and when NOT to automate, Tool comparisons (Firecrawl, Exa, Apify, Make.com), AI agent security and prompt injection defense, Content repurposing and thumbnail automation pipelines
- bio: I help solopreneurs build AI systems that grow revenue without growing workload. GenAI Unplugged is where you learn to ...

## Audience (inferred)
- status: present
- description: Solopreneurs and indie builders who build and maintain their own AI automation systems (especially n8n + Claude) to grow revenue without adding headcount
- roles: automation
- seniority: practitioner
- pain_points: Automation projects taking 2x longer than expected and eating ROI, Unexpectedly high API bills from agents and workflows, Prompt injection and security risks breaking or hijacking AI agents, Maintenance overhead and context pollution when connecting multiple AI tools
- posts_analysed: 48
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 1
- promotion_intent: 1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 42
- authenticity_basis: profile_shape_only
- credibility_score: 42
- 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_genaiunplugged#01d0a567] Is visual programming easier to debug? My honest answer. (https://www.youtube.com/@genaiunplugged)
- [youtube_genaiunplugged#e34afe74] I teach n8n and still admit it has a real ceiling
- [youtube_genaiunplugged#2167b486] Claude Code for Non-Coders? Yes, Every Single Time
- [youtube_genaiunplugged#5e7f8dd7] Why connecting Claude to all your projects at once pollutes context
- [youtube_genaiunplugged#a4180178] Most Claude.md instructions don't change AI behavior. Here's how to find out
- [youtube_genaiunplugged#240dc8ac] I made my AI check its own work before sending it to me
- [youtube_genaiunplugged#7ebcb4c1] The only secure AI system is one at the bottom of the ocean
- [youtube_genaiunplugged#79ed3fa9] Worried your AI agent was prompt injected? Check the logs.

## 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=85, 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=85, 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=85, method=platform_profile

## Freshness
- profile_checked_days_ago: 85
- content_analysed_days_ago: 79
- audience_updated_days_ago: 79

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