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Scenario-based tutorials with real screenshots, prompts, workflow templates and pitfalls.
A context-engineering SOP for AI coding agents (Claude Code/ZCode/Crush): structure context in five steps -- map project context, write rule files (CLAUDE.md/AGENTS.md), manage the context window, persist memory, and verify/iterate. Includes a real rule-file example, 5 pitfalls, and 5 FAQs.
A hands-on SOP for building a Computer Use Agent: sandbox setup, wiring the Anthropic Computer Use API, the main screenshot-decide-act loop, safety guardrails, and tuning -- five steps. Includes runnable Python (ast.parse-verified), 5 pitfalls, and 5 FAQs. Since "can operate a computer" equals "can cause harm", it emphasizes sandbox isolation, action allowlists, and human confirmation for sensitive operations.
Stack three layers to build a zero-cost multimodal pipeline in 2026: Agnes's free OpenAI-compatible API (one key for text/image/video), Chinese pay-as-you-go models (DeepSeek/Qwen/Jimeng/Kling), and local open-weight models (Wan2.1/Hunyuan/CogVideo). Includes a five-step SOP, runnable Python with async video polling and local fallback, plus five pitfalls.
A five-step red teaming SOP using free open-source tools (PyRIT/promptfoo/DeepTeam), covering six agentic attack surfaces (prompt injection, jailbreak chains, data leakage, tool misuse, privilege escalation, persistence) with runnable YAML and Python examples and a reusable system prompt guardrail template.
Function calling / tool use is the core capability of AI agents. This SOP gives developers a copyable tool-calling implementation template: define tool schema -> model decides which tool to call -> app executes -> feed result back into the next turn. Covers OpenAI (function calling / Responses API vs Chat Completions, strict mode) and Anthropic tool use per current official APIs, with five pitfalls (loose schema / parameter hallucination / unhandled call failures / no timeout / security sandbox) and five FAQs. APIs per official docs.
Hands-on setup for mem0 (62K stars) and Letta (24K stars, formerly MemGPT): from pip install to a working memory store, with an extraction prompt template, a mem0 vs Letta vs pure RAG comparison table, a when-to-use long-term memory vs RAG vs context window decision framework, and 5 real pitfalls. mem0's new algorithm lifted its LongMemEval score from 67.8 to 94.4.
Breaks AI digital human creation into a six-step repeatable workflow: pick the tool by use case (HeyGen/D-ID/Synthesia/Colossyan/DeepBrain plus China's Tencent Zhiying/Guiji Intelligent), write the talking-head script (with prompt template), pick or customize the avatar, lock the voice before driving lip-sync, post-process subtitles/editing/compliance, and publish with platform adaptation. Includes 5 pitfalls (avatar licensing/lip-sync drift/multilingual voice/long-video cost/compliance labels) and 5 FAQs. Representative workflow, not a single-tool hands-on test; features subject to official sites.
Build an n8n workflow automating the full chain from meeting recording upload through Whisper transcription, LLM-generated minutes with action items (owner + deadline), to distribution via Feishu, email, and Notion. Covers 4-step node configuration, 6 pitfalls with fixes, Feishu webhook setup, and ffmpeg splitting commands.
Build an n8n workflow that triggers on RSS Feed Read Trigger, rewrites each item into per-platform formats via an AI Agent node, routes through a Switch on category, and fans out to Telegram, Email Send, and a Feishu webhook via HTTP Request - with real node names, key parameters, $json/$env expressions, guid-based dedup, 6 pitfalls, and 5 FAQ.
As users shift from "clicking links" to "asking AI for answers," the keyword-density playbook of traditional SEO is losing force. This SOP delivers a reusable GEO optimization prompt template: given an article, the LLM produces assertive citable conclusion sentences, verbatim-excerptable FAQ pairs, structured comparison-table suggestions, and authority-signal enhancement recommendations. Built on aiwebcool.com's own GEO traffic strategy.