# dylan_j_watkins (@dylan_automates) on tiktok

- id: koinon:creator:tiktok_dylan_automates
- url: https://koinonlink.com/kol/tiktok/dylan_automates
- schema_version: 1.3

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

## Reach
- followers: 53648
- following: 214
- posts_observed: 37
- 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: Claude advanced usage and design systems, Building AI agents and operating systems, n8n workflows and automations, Prompt engineering and AI templates, Health OS and biofeedback integration with AI, AI for business tasks like sales, budgeting, and invoicing

## Audience (inferred)
- status: present
- description: AI power users and solopreneurs building personal AI operating systems, agents, and automations with Claude and n8n
- roles: automation
- seniority: practitioner
- pain_points: Keeping AI projects, tasks, and data in sync across tools without losing context, Getting consistent high-value output from Claude without constant model switching or prompt failures, Reducing token costs and avoiding prompt injection while scaling agents, Integrating personal health/bio data with AI for actionable coaching and optimization
- posts_analysed: 57
- 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: 53
- authenticity_basis: profile_shape_only
- credibility_score: 53
- 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_dylan_automates#71424bed] Comment AI and I'll send you the exact prompts + the full step-by-step. 👇 Is this real or is this fake? I recorded ONE clip on my phone, said a few words out loud, and Google's new Gemini Omni Flash edited the video off the words I spoke.  Said "suit me up" and it put me in a su (https://www.tiktok.com/@dylan_automates)

## 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=34, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=34, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=34, 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=13, 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=13, 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=13, method=platform_profile

## Freshness
- profile_checked_days_ago: 13
- content_analysed_days_ago: 0
- audience_updated_days_ago: 34

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