# 白强学AI (@1347741430) on douyin

- id: koinon:creator:douyin_1347741430
- url: https://koinonlink.com/kol/douyin/1347741430
- schema_version: 1.4

## Identity
- platform: douyin
- handle: 1347741430
- platform_url: https://www.douyin.com/user/MS4wLjABAAAA4pOyS_KVq47x3dI6Zh6lqpVJVZI5uPyK2Dg8mXDFpho
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 749133
- following: 327
- posts_total: 1475
- posts_observed: 3
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01781
- best_post_interactions: 13339
- measurement_source: cn_posts_max
- measurement_formula: likes + comments + shares (douyin) or likes + comments + collects (xiaohongshu), max over observed posts
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: LangChain框架学习与实战, 本地AI Agent/数字员工搭建, 零基础40岁学编程记录, 多Agent协作与工具调用, 向量知识库与AI大脑构建
- bio: 40岁旅行博主转型AI领域
零基础学编程，打造数字员工

## Audience (inferred)
- status: present
- description: 40-year-old beginners with no prior coding experience, self-learning programming and LangChain, aiming to build their own local AI Agent/digital employee
- roles: automation
- seniority: learner
- pain_points: Struggling with switching between models and optimizing prompts in LangChain, High barrier to implementing multi-Agent collaboration via pure code for beginners, Unstable tool calling and closed-loop performance when deploying AI Agents locally, Want to avoid token costs but lack accessible, low-cost solutions available out of the box
- posts_analysed: 100
- confidence: 0.9

## 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: 64
- authenticity_basis: engagement_observed
- credibility_score: 84
- flagged_for_review: false
- koinon_bd_grade: A — 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
- [douyin_1347741430#4bda1d39] Agent执行任务时不听话，擅自调用工具，优化一下提示词 上期视频分享的是langchain架构运行时切换模型。我一共配置了三个子模型。但共用的是一套提示词。同一套提示词，不同的模型，它的表现是完全不一样。 (https://www.douyin.com/user/MS4wLjABAAAA4pOyS_KVq47x3dI6Zh6lqpVJVZI5uPyK2Dg8mXDFpho)
- [douyin_1347741430#cd631111] 我改一改提示词，看看效果能不能好一点
- [douyin_1347741430#7fc58881] 建了一个提示词字典
- [douyin_1347741430#f0b53c7b] 一共配置了三个Ai模型，每个模型给他配一套专属 提示词
- [douyin_1347741430#76b638d4] #langchain   #deepagents   #AI  #agent / @白强学AI创作的原声 / 个人观点，仅供参考 / 我是一个AI的零基础初学者，每天借助AI大模型学习用langchain做AI  agent,每周分享一次学习进度和成果，欢迎大家一起学习交流 / 这么有趣的合集，不能只有我一个人知道吧 / 这么有趣的短剧，不能只有我一个人知道吧 / 上期视频分享的是langchain架构运行时切换模型。我一共配置了三个子模型。但共用的是一套提示词。同一套提示词，不同的模型，它的表现是完全不一样。
- [douyin_1347741430#cd631111] 我改一改提示词，看看效果能不能好一点
- [douyin_1347741430#7fc58881] 建了一个提示词字典
- [douyin_1347741430#f0b53c7b] 一共配置了三个Ai模型，每个模型给他配一套专属 提示词

## 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=84, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=84, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=84, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=85, 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=85, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=107, 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=0.5, freshness_days=85, method=Starts at 60; interactions-per-follower on collected posts then adds or subtracts (large following with near-zero engagement is penalised heavily). — 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=107, method=llm_partner_fit_classifier + authenticity >= 55 AND fit_score >= 0.45 => A; authenticity >= 40 AND fit_score >= 0.3 => 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=107, method=platform_profile

## Freshness
- profile_checked_days_ago: 107
- content_analysed_days_ago: 85
- audience_updated_days_ago: 84

## AI retrieval
- indexing_requests: 7
- 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=douyin_1347741430
- Request removal: https://koinonlink.com/claim?k=douyin_1347741430
- Terms: https://koinonlink.com/for-ai