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Scenario-based tutorials with real screenshots, prompts, workflow templates and pitfalls.
Breaks down the counter-intuitive monetization of AI-written WeChat: outsource technique to AI (AGENTS.md style framework + STAR skeleton), do the Way yourself (failure cases + real data), hook-trust-handoff monetization flywheel, 3 musts and 3 nevers, with a minimal launch plan.
MCP is the AI world's USB standard, ending the integration hell of Agent tool calls. Breaks down the Host/Client/Server three-role architecture, with a Python @server.list_tools decorator two-step Server build + three pitfalls (split Servers by domain, Filesystem whitelist, encrypted transport).
Stop treating AI video as a hobby. Breaks down three hurdles-style consistency, uncanny-valley realism, commercial monetization-with Midjourney cref/LoRA/Runway/Jimeng Seedance 2.0 hands-on steps, prompt templates, and a runnable 15-second ad SOP.
The n8n competitor-tracking workflow AI Cake uses itself-daily scheduled fetch of competitors, Kimi structuring, Feishu storage, humans only do 15 min review. With .json template download; import, swap API key, run.
Beginners stop staring blankly at the dialog box. Universal prompt formula breakdown + three common faceplants + downloadable cheat sheet.
Stop just saying "make it flow." Beginner/intermediate/expert three-level writing-polish prompts, covering conversational rewrite, style transfer, chained refinement, with a with-vs-without comparison.
Others give tool lists, we give pre-cut cake. Three packs-creator one-person-co, indie dev MVP, e-commerce ops-each a field-tested tool combo, just build along it.
Tencent's AI office agent WorkBuddy is exploding in popularity yet constantly gets called "clueless." This SOP breaks down its perceive-plan-execute workflow and why it's unstable, then covers the core settings that matter: disable auto-model selection and pin HY3, a three-task test to pick a stable model, splitting long tasks short with common-error mappings, plus a credits cheat sheet, Skill usage, and five pitfalls to avoid.
Saving 300 templates is worse than building one Hello World. Teardown data-flow thinking, variable types, JSON fault tolerance, and a four-step hands-on method driven by real pain points, with code-node examples and pitfall log.
A complete automated workflow from scheduled fetching to Kimi structured rewrite to Feishu storage, with a real prompt and three pitfalls.