# Structure Webworks (@Structurewebworks) on youtube

- id: koinon:creator:youtube_structurewebworks
- url: https://koinonlink.com/kol/youtube/Structurewebworks
- schema_version: 1.4

## Identity
- platform: youtube
- handle: Structurewebworks
- platform_url: https://www.youtube.com/@Structurewebworks
- country: Canada
- entity_type: creator
- person_id: koinon:person:tiktok_structurewebworks

## Reach
- followers: 10500
- posts_observed: 6
- 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: ai_tools
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Building Claude AI agents for end-to-end business operations, Industry-specific AI systems (law firms, dealerships, contra, Business system design and automation playbooks, Tool reviews for CRMs, accounting, and productivity software
- bio: I review the software and tech that small businesses actually run on CRMs, accounting, scheduling, automation, and AI tools, and ...

## Audience (inferred)
- status: present
- description: Small business owners and operators focused on implementing AI automation for sales, marketing, operations, and admin tasks
- roles: automation
- seniority: decision_maker
- pain_points: Manual repetitive work in sales, marketing, and ops consuming too much time, High costs and difficulty hiring/retaining staff for routine business functions, Lack of integrated systems that can run autonomously across departments, Struggling to scale operations without building expensive custom infrastructure
- posts_analysed: 40
- 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: 44
- authenticity_basis: profile_shape_only
- credibility_score: 44
- 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_structurewebworks#6c5ade7b] How an Agentic AI Business Will Run in 2035 #shorts #claude #automatedsystem #aiagent #ai (https://www.youtube.com/@Structurewebworks)
- [youtube_structurewebworks#8fda4445] I Built 31 AI Agents to Run an Entire Law Firm #shorts #claude #automatedsystem #aiagent #ai
- [youtube_structurewebworks#8a3dcb7e] I Built an AI Agent Running an Entire Company #shorts #claude #finance #automation #system
- [youtube_structurewebworks#b1ecd057] AI Marketing System for Local Service Businesses #shorts #claude #automatedsystem #aiagent
- [youtube_structurewebworks#90f9c353] 10 AI Systems for 10 Different Industries #shorts #claude #automatedsystem #aiagent #ai
- [youtube_structurewebworks#15fccd8c] I Built a Claude AI Sales System #shorts #claude #automatedsystem #aiagent
- [youtube_structurewebworks#67b5f3a6] I Built a Claude AI Marketing Department for a Contractors #shorts #claude #automatedsystem #aiagent
- [youtube_structurewebworks#b2019bdf] I Built a $5K/Month Claude AI System for Car Dealerships #shorts #claude #automatedsystem

## 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=72, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=72, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=72, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=72, 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=72, 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=72, 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: 72
- audience_updated_days_ago: 72

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