# Roman Knox (@theromanknox) on tiktok

- id: koinon:creator:tiktok_theromanknox
- url: https://koinonlink.com/kol/tiktok/theromanknox
- schema_version: 1.3

## Identity
- platform: tiktok
- handle: theromanknox
- platform_url: https://www.tiktok.com/@theromanknox
- website: https://www.skool.com/knox/about
- country: United Kingdom
- entity_type: creator
- person_id: koinon:person:tiktok_theromanknox

## Reach
- followers: 7281
- following: 1
- posts_observed: 9
- 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: Claude Code workflows, skills and operating system setups, Building AI agents, MCP servers and automations, Monetizing AI via SaaS, agencies and client services, Open-source/self-hosted AI tools replacing paid software, AI content/video generation pipelines

## Audience (inferred)
- status: present
- description: Non-coders aiming to build and monetize AI products/services (SaaS, automation agencies) using Claude Code and agent setups
- roles: automation
- seniority: practitioner
- pain_points: Hitting token limits and inefficient Claude usage in long workflows, Struggling to turn AI experiments into paid client work or products, Manually switching between tools instead of having integrated agent teams, Lack of ready-made, production-ready setups for AI agents and automations
- posts_analysed: 100
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.9
- 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
- [tiktok_theromanknox#31bac8ce] original sound - salishfanpage64 (https://www.tiktok.com/@theromanknox)
- [tiktok_theromanknox#ec90f8bc] It is a becoming a big trend on TikTok now! Click here: ecommercemarketing
- [tiktok_theromanknox#d4426f8d] Check out Roman Knox’s video! #TikTok >
- [tiktok_theromanknox#6b7e645e] Search:
- [tiktok_theromanknox#49403c16] workflow ai
- [tiktok_theromanknox#2f7a329d] DeepSeek just dropped an open-source version of Claude Code — 180k GitHub stars in one week. Everything inside is a plugin: the model, the tools, the memory, even the agent loop. Comment DEEPSEEK and I'll send you the setup. #deepseek #aiagents #opensourceai #claudecode #devtools
- [tiktok_theromanknox#e3a8ddb0] original sound - theromanknox
- [tiktok_theromanknox#2c750071] deepseek harness

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

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=25, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=25, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=25, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=2, 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=0, 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=2, 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=2, method=platform_profile

## Freshness
- profile_checked_days_ago: 2
- content_analysed_days_ago: 0
- audience_updated_days_ago: 25

## AI retrieval
- indexing_requests: 1
- 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_theromanknox
- Request removal: https://koinonlink.com/claim?k=tiktok_theromanknox
- Terms: https://koinonlink.com/for-ai