# AXIAL STUDIO (@axial.studio) on tiktok

- id: koinon:creator:tiktok_axial.studio
- url: https://koinonlink.com/kol/tiktok/axial.studio
- schema_version: 1.3

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

## Reach
- followers: 11049
- following: 164
- posts_observed: 24
- 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: graph engineering and context systems, Obsidian + Claude second brain setups, loop engineering and agent swarms, RAG and workspace architecture for agents, agentic OS and automation workflows

## Audience (inferred)
- status: present
- description: AI builders and indie developers focused on building agentic systems, automation loops, and personal knowledge management with tools like Claude and Obsidian
- roles: automation, general_ai
- seniority: practitioner
- pain_points: Agents feel slow and unreliable due to linear chaining and poor context management, Losing project memory and workflow context across sessions, Prompt engineering no longer providing enough edge as models commoditize, Difficulty turning one-off prompts into repeatable, verifiable agent skills
- posts_analysed: 100
- confidence: 0.9

## 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: 45
- authenticity_basis: profile_shape_only
- credibility_score: 45
- 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_axial.studio#f0a3ae8e] How strong teams structure CLAUDE.md, what belongs in root, what should move deeper, and how to test whether Claude follows any of it. Save this before your next repo cleanup. #claude #aiagents #aiautomation #PromptEngineering #vibecoding (https://www.tiktok.com/@axial.studio)
- [tiktok_axial.studio#9e0cf3f0] oh yeah?
- [tiktok_axial.studio#7e82189f] It is a becoming a big trend on TikTok now! Click here: claude
- [tiktok_axial.studio#24f3014a] Check out AXIAL STUDIO’s video! #TikTok >
- [tiktok_axial.studio#06d2b223] Your CLAUDE.md Is Probably Making Claude Worse
- [tiktok_axial.studio#6b7e645e] Search:
- [tiktok_axial.studio#d9511547] repo claude code
- [tiktok_axial.studio#53e8a2fd] Sams workspace system view #ai #claude #aiagents #vibecoding #obsidian

## 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=33, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=33, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=33, 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=10, 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=10, 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=10, method=platform_profile

## Freshness
- profile_checked_days_ago: 10
- content_analysed_days_ago: 0
- audience_updated_days_ago: 33

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