Plan a Car-Free Hudson Valley Foliage Day Trip with Muse
Input travel constraints → Muse recommends Cold Spring by train → Explore the town and forest trail along the Hudson
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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.
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Input travel constraints → Muse recommends Cold Spring by train → Explore the town and forest trail along the Hudson
Receive agent events via webhook → calculate token costs → persist ledger → WhatsApp budget alerts and daily digests
Google Sheets asset register → compute warranty days remaining → route by urgency to Slack / Todoist / Gmail alerts, with OpenAI drafting renewal negotiation emails for high-value assets
Employee sends a photo → AI extracts merchant, amount, date → policy check auto-approves or routes to manager → record results and monthly email report
User submits income/savings/investment/expenses → n8n computes financial health score → Groq generates advice → stores to spreadsheet and pushes to Slack
Webhook ingestion → flatten & classify → AI structured notes → Notion pages + Drive archive + task creation
Gmail emails → OpenAI extract & generate → LinkedIn auto-publish
LINE message trigger → n8n fetches image → GPT-4o-mini generates Lego prompt → DALL·E generates image → LINE delivers result
Webhook receives meeting notes → Gemini AI extracts structured data → auto-create tasks, send follow-up emails, generate summary doc
Form-submitted notes → GPT-4o extracts decisions and action items → Creates Asana tasks → Aggregates and sends Slack summary
Whiteboard photo → Gemini handwriting recognition → structured notes → Sheets archive + Gmail distribution
Give your Muse agent one instruction to continuously track booked and planned flights, check fares daily, and proactively notify you of savings with rebooking options
Ask Muse → grant app data permission → get the summary
Type one sentence → Muse auto-searches CGV, Lotte Cinema, Megabox → returns whether screenings remain
WhatsApp message → n8n type-based routing (text/image/audio/video) → Gemini multimodal understanding → AI Agent generates reply → WhatsApp send-back
Input a niche keyword → AI generates search terms and calls YouTube API for videos from last 2 days → filter by duration and extract tags/stats → AI summarizes trends and hot topics
Auto-vectorize PDFs and text files from a Supabase bucket, then answer contextual questions via a chat interface
YouTube URL in → transcript extraction → GPT-4o-mini structured Markdown summary → JSON response with optional Telegram push
Chat input → AI agent (OpenAI + tool calling) → create or query Google Calendar events
Input: trending Instagram hashtag posts; Process: scrape → deduplicate → GPT analyze → Flux generate → publish; Output: scheduled Instagram posts with Telegram notifications
No use cases match these filters.