Practical AI for solving real problems and creating value
Lawyer Cheng Jiandu demonstrates an end‑to‑end AI‑assisted litigation process for an equipment sale dispute, showing how AI can organize materials, verify facts, perform multi‑model checks, and generate draft documents while the lawyer retains ultimate decision‑making and oversight.
The article walks through using WorkBuddy to generate professional PPTs in three formats—traditional PPT, HTML, and image—detailing material preparation, prompt crafting, style selection, and editing tips, and advises when to choose each format based on compatibility, visual impact, and efficiency.
The author evaluates the Office Xiaoxuan AI assistant by feeding it 8,137 attendance records and three related business tables, then walks through file reading, data cleaning, cross‑table verification, and interactive dashboard generation, completing the entire workflow in about ten minutes while highlighting transparency, cost tracking, and verification limits.
The author curates ten practical AI Skills—ranging from web capture and article deep‑reading to local audio transcription, skill optimization, engineering method libraries, WeChat formatting, video creation, batch photo downloading, and skill discovery—explaining their problem scope, key features, usage steps, and real‑world observations such as token savings, star counts, and limitations.
The article explains why command‑line interfaces are a low‑cost, highly controllable way for AI agents to reliably invoke internal enterprise systems, compares CLI with MCP, and walks through practical steps—from login and basic commands to testing and Skill packaging—to demonstrate measurable business value.
A seasoned TV host responsible for five programs and nearly 200 episodes a year transformed a one‑hour manual clipping workflow into a 3‑5‑minute automated process by chaining AI transcription, timestamp extraction, batch slicing, vertical compositing and title overlay tools, then extended the pipeline to searchable content and website generation.
The author has compiled the capability models of senior engineers (P7, P8, P9) from leading tech firms into three open‑source AI Skills, allowing users to submit their problems, plans, or projects and receive perspective‑specific feedback, with installation instructions, usage examples, and practical tips.
The article walks through assigning a unique @agent.qq.com mailbox to an AI Agent, explains why a separate email address is essential for identity, permission, and audit in enterprise workflows, and demonstrates the setup, testing, and automation possibilities with practical examples.
Many people adopt AI tools but see little impact because their mindset and methods are misaligned; this article breaks down ten common cognitive gaps—from poor business judgment and ROI misunderstanding to inadequate scenario analysis, tool awareness, and expectation management—that determine whether AI truly adds value.
The article argues that best‑practice guides that cannot be transformed into reusable AI Skills quickly become forgotten, and explains how converting such knowledge into Skills lets agents automatically recall and execute valuable methods within workflows.
