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Field SOP

Scenario-based tutorials with real screenshots, prompts, workflow templates and pitfalls.

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AI Digital Human Creation SOP: A Repeatable Workflow from Script to Final Cut

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.

SEO/GEO Optimization Prompt SOP: Get AI Search Engines to Cite Your Content

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.

Self-Hosting block/buzz: A Deployment SOP from Docker to Agent Onboarding

A full self-hosting SOP for block/buzz (paired with the buzz-hive-mind hotspot piece): local dev stack (just setup/build/dev) plus production single-node (deploy/compose Docker, Postgres/Redis/MinIO) plus configuration (.env: RELAY_URL/BUZZ_RELAY_PRIVATE_KEY/RELAY_OWNER_PUBKEY) plus agent onboarding (Nostr keypair NIP-98 signing, buzz-admin manages members) plus closed relay plus 5 FAQ. All deployment commands are sourced from README/compose/.env/CLI/ARCHITECTURE, nothing fabricated.

Building an AI Agent Workflow in n8n: A Deployment and Pitfall SOP

A full SOP for building a tool-calling AI agent workflow inside the n8n canvas: one-command Docker self-host deployment, AI Agent node four-piece anatomy (Language Model, Memory, Tools, System Prompt), step-by-step build (pick trigger, configure node, add tools, output, test and publish), five pitfalls (amnesia from missing Memory, hardcoded API keys, over-engineering, context drift, data format mismatch) plus 5 FAQ. Node parameters per n8n official docs; gives config logic, no fabricated full JSON.

Resume Screening Workflow: Score by JD and Route in One Pass

Receiving two to three hundred resumes per JD is slow and error-prone by hand. This n8n workflow funnels resume screening into one pipe: Webhook/email intake -> extract text -> LLM scores skill match/experience/stability/risk against the JD and outputs a tier plus reason -> IF checks whether it clears the bar -> Switch routes to interview queue/talent pool/rejection email -> write to Feishu Bitable or ATS -> notify recruiter. The Prompt explicitly forbids using gender/age/marital status/race/household registration as factors; resume handling must comply with PIPL/GDPR; AI scoring is assistive only and the final call belongs to a human.

Email Marketing Automation Workflow: A/B Self-Optimization

An n8n workflow for email marketing automation: scheduled pull of subscribers -> segment by tag/behavior -> LLM generates A/B personalized emails (subject + body) per segment -> SMTP send -> Webhook tracks opens/clicks -> write back metrics -> IF open rate below threshold with sufficient sample -> trigger LLM copy regeneration. Includes compliance notes (subscribed/authorized only, one-click unsubscribe, CAN-SPAM/GDPR/E-Commerce Law, no sensitive-attribute inference). Includes a .json template download.