Auto-Generate and Post LinkedIn Carousels with n8n, Gemini AI, and Post Nitro
Input: TechRadar RSS or manual form title/description → Process: Gemini AI filters news and generates carousel copy → Output: Post Nitro PDF + automated LinkedIn post
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Experience can combine. Pick one topic, and optionally one subcategory. Models and tools can combine within their layer. A case must match every layer you set.
Fuzzy keyword search
Input: TechRadar RSS or manual form title/description → Process: Gemini AI filters news and generates carousel copy → Output: Post Nitro PDF + automated LinkedIn post
Webhook receives student submissions → GPT-4.1-nano generates rubrics → Slack/email notifies reviewers → auto-scores and delivers reports
Security Hub alert → Webhook ingestion → field normalization → LLM classification & severity → LLM remediation plan → Gmail HTML brief
Input a search keyword → Apify scrapes Google results → GPT-4o plans 3 article angles and writes full drafts → DALL-E 3 generates cover images → Save to Notion and notify via Slack
Weekly scheduled fetch of new channel videos → AI analyzes titles and descriptions to generate 15–20 SEO tags → auto-write back to YouTube and notify team via Slack
Daily auto-aggregate MSSQL, Google Analytics, Sheets data → calculate ROAS/CAC → AI-generated summary → WhatsApp/email push
Scheduled trigger → set target URL → read historical prices → AI agent scrapes and structures pricing → compare changes → conditionally update Google Sheets
Periodically scan Gmail inbox, classify urgency and intent with GPT-4o, auto-label emails, and push summaries to Slack
Any n8n workflow failure → automatic email alert; optional AI-generated severity and fix suggestion
Airtable expense submission → n8n AI Agent analysis → structured output → Pinecone vector storage → write-back approval result
Employee sends WhatsApp message → LLM classifies intent → routes to 5 specialized AI agents → auto-processes leave, attendance, FAQ, complaints, candidate shortlisting → replies via WhatsApp
Input competitor list and public pages → scheduled snapshot & diff → push AI summary only when material changes detected
De-sensitized tickets → Grok Bot triage & drafts → human review before send
Input sanitized support messages, competitor keywords, and themes → three Grok Bots draft in sequence → human review and publish
Input your content request → lead breaks it down and assigns to research/script/distribution specialists → outputs schedule, drafts, multi-platform versions, and weekly analytics
Input: seller requests and store backend exports → Process: lead bot assigns tasks, four specialist bots execute, shared folder collaboration → Output: business briefings, product copy, competitor analysis, support tickets, and daily data reports
Input: business needs and client materials → Process: 1 lead bot dispatches to 3 specialists (BD, delivery, billing) → Output: deliverables, lead lists, invoice tracking, and decision summaries
Input: teammate-specified topic + audience; Process: search Google Drive, Zoom recordings, Gmail threads and rank by recency; Output: structured internal enablement draft document with link
Encode on-call response into an event-driven auto-fix agent: receive CI/deploy/monitor signals → classify failure → spin up fix agent → merge per policy or escalate to human
Input: code repository and team comment rules; Process: scan, classify, remove redundant comments, keep non-obvious why-comments, flag workarounds; Output: one behavior-preserving PR with a root-cause fix list
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