Tool
Source-linked workflows that name Email. Part of the AI agent use cases on UsecaseBoard, or browse all use cases.
The author reports that Muse cleaned and organized a mailbox with almost 100,000 messages and handled unsubscribes; the volume and usage figures are self-reported.
The scenario watches connected calls and messages for explicit commitments, adds dated tasks, and reconciles completion and waiting states in a daily review.
The example combines missed conversations and recordings into a prioritized catch-up brief, including decisions and items assigned to the returning user.
The agent reads Qwoted opportunity emails, compares each request with supplied team profiles, and sends potential expert matches to Slack.
A Zapier agent reads recent messages, determines which contain an event request, extracts participants and timing, and creates corresponding Google Calendar events.
A Hermes user documents an ANA check-in, baggage handling, airport route alternatives, and a reusable check-in tool, alongside failures in other tasks; the account remains a personal report.
Parminder Singh used Meta Muse to connect two emails, explain a failed flight payment and finish organizing the booking.
The author reports that Muse recovered a $200 Verizon gift-card benefit they had forgotten to claim after signing up for service.
The author reports that Muse handled the customer-service and scheduling steps for an IKEA return, culminating in a pickup at their home.
Justin Mateen used Meta Muse to recover overlooked tax documents, forward them to his accountant, and request missing current-year copies from previous senders.
The workflow takes a room photo and property facts, calls staging and comparable-listing APIs, and uses Claude to prepare a draft listing package for an agent.
Lilo's builder lists forwarding an Uber receipt and retrieving it for a work reimbursement among actual uses of the open-source assistant's persistent workspace and messaging channels.
A Firecrawl-assisted template searches multiple job boards and uses an OpenAI agent to score listings against salary, location, stack, and other stated requirements.
Mikey No Code's English tutorial includes a personal-assistant segment for monitoring email and WhatsApp alongside a step-by-step introduction to creating agents with Base44.
The flow takes a brand, competitor, time window, and focus area and generates an emailed competitive-advertising research report.
A Show HN browser-agent demo takes a CV, scans incoming job information, opens the listings, and extracts matching details into a Google Sheet, illustrating an end-to-end job-research workflow.
Lane Rettig reports using an OpenClaw personal agent to organize hospital forms into indexed PDFs, identify missing signatures, and draft an insurance pre-approval submission from previously supplied policy context.
The agent combines inbox context with Exa searches to research people, announcements, and other external facts relevant to an email draft.
The workflow extracts key dates and actions from school-related messages and stores concise records in Notion for family or student follow-up.
The workflow combines HubSpot records, support context, and usage data from Sheets, then uses AI to assess customer health and explain recommended next steps.
The workflow retrieves recent AI papers, uses Gemini to assess relevance, and emails structured summaries of publications that pass the user's criteria.
Gemini analyzes three restaurant data streams in Sheets and merges sales highlights, waste-reduction suggestions, and customer-feedback themes into an email report draft.
Make's Kevin Cookie Company tutorial builds a fictional support assistant using a Llama model, a Google Docs FAQ tool, a separate email tool, and a Tally trigger, illustrating reusable versus scenario-specific tools.
Gemini processes new form-response rows, extracts a concise testimonial candidate, writes it to Sheets, and notifies the marketing reviewer by email.