Bolun Liu (小包子)

The 3 operational problems I solve for service-based SMEs — fast. 我为服务型中小企业解决的3个核心运营问题——快速落地。

• 01 — Reporting overhead. Producing client reports, internal status updates, and management decks absorbs skilled time. Most of it is manual data assembly no one would choose to do if the system did it for them. 报表内耗：客户报告、内部周报、管理层简报吞掉团队大量优质工时。绝大部分是手动拼接数据——如果系统能做，没人会愿意自己做。
• 02 — Fragmented client visibility. Client info lives across email threads, project tools, finance software, and individual heads. Answering "what stage is this client at, what's outstanding, what's at risk" needs 3 people and 4 systems. 客户信息碎片化：邮件、项目工具、财务系统、个人记忆——四处分散。回答"这个客户进展到哪、还有什么未完成、有哪些风险"需要问3个人、开4个系统。
• 03 — Approval & handoff friction. Work waits — for someone to be notified, to remember, to approve, to pass it along. The slowest part of delivery is not the work, it's the gap between the work. 审批与交接卡顿：工作在等——等通知、等记起、等审批、等下一步交接。交付里最慢的从来不是干活本身，是干活与干活之间的间隙。

• Shipped a production web app end-to-end as a non-developer. Process discipline beats years of CS coursework when the AI does the typing. 非技术背景，独立交付生产级Web App——流程纪律胜过传统编程训练。
• Internal AI agents running real workflows. Built and operating AI agents inside my day-job company — measured ROI, not pilot theatre. 在所属服务型企业内部落地AI智能体工作流，跑出真实ROI。
• Paid client delivery across the stack. SEO/AEO/GEO fulfillment pipelines, chatbot SaaS, nurture automation, custom dashboards, intelligence-layer APIs. 付费客户交付：SEO/AEO/GEO管线、聊天机器人SaaS、营销自动化、定制仪表板、智能层API。

• The Data Process Thinking Method. Mapping invisible micro-processes before a single tool is chosen — that's where most projects die. 数据过程思维法：在选工具前，先把那些被忽略的微流程摊开。
• What actually moves SME margin. Empirical operations, not framework theatre. Real workflows, real bottlenecks, real numbers. SME运营中真正撬动利润的杠杆——基于经验，不是借来的框架。
• Why most AI projects fail before line one of code. The interesting failures aren't technical — they're conceptual. 真正有趣的失败不是技术失败——是概念失败。多数AI项目在第一行代码前已经输了。

• B2B service partners who own client relationships. Marketing agencies, consultants, coaches — they bring the trust, I am their build-side backend. 拥有客户关系的B2B服务合伙人——他们是前线，我是技术后端。
• Marketing & ops leaders inside SMEs. Tasked with "make us more efficient with AI" — they need a real operator, not a tool list. SME内部的营销与运营负责人——被要求"用AI提效"，但需要的是操盘手，不是工具清单。
• Thinkers who commit slowly and follow through completely. People who consider before they speak. Visible intelligence in the eyes. 慢承诺、稳交付的独立思考者。看一眼就知道是不是同类人。