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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.
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.
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.
The flow takes a brand, competitor, time window, and focus area and generates an emailed competitive-advertising research report.
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.
Gemini processes new form-response rows, extracts a concise testimonial candidate, writes it to Sheets, and notifies the marketing reviewer by email.