# jake📝 (@studyingwithjake) on tiktok

- id: koinon:creator:tiktok_studyingwithjake
- url: https://koinonlink.com/kol/tiktok/studyingwithjake
- schema_version: 1.4

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

## Reach
- followers: 16487
- following: 38
- posts_observed: 2
- 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: 0.9
- category_source: derived_from_recent_content
- topics: AI tools for college essays and cheating avoidance, Bypassing AI detectors like GPTZero, Claude + Obsidian second brain setup, Removing AI watermarks, College life and study hacks

## Audience (inferred)
- status: present
- description: College students actively using or exploring AI tools like ChatGPT and Claude for writing essays and academic work
- roles: none
- seniority: learner
- pain_points: Getting caught by professors or AI detectors when using ChatGPT for essays, Dealing with unwanted watermarks or artifacts in AI-generated content, Building an effective note-taking or second-brain system with AI tools, Managing spam calls while studying or working on assignments
- posts_analysed: 11
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.2
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 47
- authenticity_basis: profile_shape_only
- credibility_score: 47
- 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_studyingwithjake#258b4f9f] Any else know about this? #college #chatgpt #cheating #professor #gptzeroad (https://www.tiktok.com/@studyingwithjake)
- [tiktok_studyingwithjake#87bf4ed6] original sound - studyingwithjake
- [tiktok_studyingwithjake#87cbb842] Whether you're heading to class or living it up at the dorms, here's to all things #College.
- [tiktok_studyingwithjake#25162a7c] It is a becoming a big trend on TikTok now! Click here: college
- [tiktok_studyingwithjake#ca1cc49c] Check out jake📝’s video! #TikTok >
- [tiktok_studyingwithjake#f4f4f9e9] Do college students know about this? #college #chatgpt #essay #cheating #gptzeroad
- [tiktok_studyingwithjake#ce4a6c65] Just some secret sauce for yall #chatgpt #professor #university #essay #college
- [tiktok_studyingwithjake#9b3f54d7] Comment “BRAIN” and I’ll send you my full Claude + Obsidian second brain guide. 👇 I built an AI second brain with Claude + Obsidian that remembers everything I learn and gets more useful every time I use it. Here's exactly how: Download Obsidian and create a new vault. Then down

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=54, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=54, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=54, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=54, 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=54, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=56, 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=54, 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=56, 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=56, method=platform_profile

## Freshness
- profile_checked_days_ago: 56
- content_analysed_days_ago: 54
- audience_updated_days_ago: 54

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