Topic
Source-linked workflows that name life. Part of the AI agent use cases on UsecaseBoard, or browse all use cases.
A musician describes having Grok Bot retrieve Hooktheory analysis, turn chords and melody into MIDI, suggest additional layers, and provide Serum preset descriptions before arranging the material in Ableton.
A consulting-business owner describes a fleet-manager bot that reads synced RoadTrip data, owner manuals, and maintenance records to monitor upcoming requirements and expected costs.
A home-services business owner comments that their bots use job photos and Meta-glasses footage to create branded video and graphic drafts, including music, for the business to share.
An ecommerce owner reports that a tightly scoped email-marketing bot worked better than their broader product-listing and customer-chat experiments, using supplied SKU and pricing information to draft HTML emails.
A financial-model builder reports using Claude directly in Excel to follow circular references and multi-sheet dependencies and identify suspected errors; the claimed time savings are personal reports.
In a discussion of everyday Claude use, one commenter describes finding community, professional, and high-school theater productions near home and placing them in a calendar with booking links.
The official Copilot Studio scenario describes combining sales and inventory signals with pricing constraints to recommend promotions or markdowns and send them to the relevant team for approval.
Microsoft's education demonstration combines current-state staffing evidence with external trend reports, then drafts a recruitment strategy and supporting presentation for administrators to review.
The official design scenario connects transaction history and return patterns to anomaly reports for retail teams; its suggested signals require review rather than establishing that a customer committed fraud.
Microsoft's demonstration scenario outlines a Copilot Studio agent for leave intake, policy verification, delegated approvals, recommended benefits adjustments, and an audit log.
The internal-communications skill directs Claude to choose a communication type and load its corresponding format guidance, including a dedicated guide for three-part team updates.
The public Slack GIF skill provides frame-building, palette optimization, and validation utilities with separate guidance for emoji-sized and message-sized animations.
Anthropic's spreadsheet skill explains that writing formulas alone leaves cached values empty, and requires recalculation plus error inspection and spot checks of the formulas' meaning.
The public PowerPoint skill documents template inspection, XML-based editing, package validation against the original, and rendered review, including keeping supported charts native to PowerPoint.
Anthropic's public document skill describes unpacking Word files, merging fragmented text runs, applying tracked edits, validating against the original, and rendering the result for inspection.
A business-owner comment reports using Grok bots to track inventory, prepare supplier restocking communication, and keep dealer price lists current; the post does not provide independently verified business results.
A commenter describes using WACLI with Grok Bot to dispatch leads and scan closed-job totals into a spreadsheet, with sender and text filters limiting when the bot wakes.
The Product Hunt listing describes Goblin Tools for overwhelming everyday tasks; its official site documents AI-backed tools and Magic ToDo controls for breaking a task into smaller pieces.
Paperless-GPT adds model-assisted metadata and optional OCR processing to paperless-ngx, with manual and automatic tags and documented non-destructive testing options.
The CrewAI job-posting example uses configurable research and writing agents to combine company context, role requirements, and industry information into a draft advertisement.
The CrewAI example coordinates research roles with browsing, search, and SEC data access to prepare a company-analysis report for human review.
The example attaches a PDF knowledge source to an agent crew and exposes the question and task configuration for source-grounded document answering.
The open-source example separates agent roles and task configuration for producing a marketing strategy and related content from user-supplied business inputs.
The manager scenario uses Copilot to turn an operating procedure into a visit checklist and helps summarize daily notes and communication for the store team.
Microsoft's store-associate example uses Copilot for product and policy lookup, planogram guidance, and an end-of-shift summary for colleagues.
The scenario combines historical sales, current performance, market research, and dashboards to inform a merchandiser's product-mix review.
The retail scenario describes researching fashion signals, generating and revising digital designs, and using explicit customer feedback to refine the collection.
Microsoft outlines an agent that combines logistics context and demand forecasts, flags stock risks, and prepares reviewed replenishment orders before updating the ERP.
Microsoft's retail scenario combines defined evaluation criteria, supplier reports, review evidence, and product specifications before drafting procurement communication.
The scenario combines curriculum review, task design, a draft rubric, and results analysis to support teacher-led assessment development.
The scenario has an education assistant use Copilot to review lesson plans and suggest differentiated activities and reading-level adjustments for the teacher to approve.
Microsoft's MBA example researches a market from multiple sources and organizes findings into an outline for the student's own analysis.
The student example uses Copilot to prepare a chapter outline and practice quiz and to draft a focused clarification email to the professor.
The scenario revisits past meeting discussions, proposes an agenda, captures current decisions, and organizes recap communications and follow-up documentation.
The example combines stakeholder meetings and approved research with a Word policy draft, then supports circulation and revision before adoption.
The scenario gathers curriculum resources and support requirements, maps content to objectives, and involves accessibility specialists in creating multiple ways to engage with the material.
Microsoft's higher-education example gathers relevant messages, drafts a curriculum-status update, and supports course and research-outline preparation.
The educator example uses Copilot to create literature lesson plans and comprehension questions, leaving the teacher to adapt them to the class's pace.
The scenario assembles agenda requests, analyzes the period's business data, builds a presentation, and distributes prework before capturing follow-up actions.
Microsoft's workflow summarizes earlier RFPs, retrieves current requirements, develops questions, and refines the document after a team review.
The scenario combines meeting insights, an Excel impact assessment, Whiteboard brainstorming, and an executive presentation to organize a change-management effort.
The paralegal example compares two MOUs in a table and specifically highlights issues covered in one agreement but absent from the other.
The example combines Teams notes, relevant agreement research, and Word analysis to prepare negotiation materials for legal-team review.
Microsoft's scenario uses Copilot to draft a training script, visual assets, and a coordinated production schedule from existing compliance documentation.
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.
A Threads user describes using Muse for the recurring manual-payment task on a utility portal whose fee-free card payment option does not support automatic payment.
Claude in Chrome scans the active inbox for user-defined low-value messages and presents deletion candidates while preserving explicitly excluded mail.
Claude Tag runs a connected warehouse query and publishes the chart and query together, allowing colleagues to correct the metric definition in context.
The Academy scenario gives Claude Tag a standing help-channel task: answer from the knowledge base, ask for missing details, or file a complete ticket for the owner.
Claude Tag answers account questions in the shared channel and identifies which facts came from the connected CRM and which came from the conversation.
Claude Academy combines connected campaign context and brand guidance with drafting and brand-review skills to prepare consistent marketing material.
The example uses Claude Cowork's granted folder access to inspect scattered files, organize them by meaning, and explain where they were moved.
Claude Academy demonstrates turning multiple vendor-proposal PDFs into a comparison spreadsheet covering costs, implementation, support, and contract details.
The startup guide transcribes a brainstorming whiteboard, explores gaps, exports notes to Docs, and drafts a source-grounded recap email.
The small-business guide compares two supplied cleaning proposals, including required tasks, visit frequency, and booking or cancellation terms, before preparing a vendor email.
The sales guide combines a reviewed introduction email with follow-up research into the customer's market strategy and recent announcements.
Google's marketing guide explores several logo directions for a coffee-and-gaming business, then uses follow-up prompting to refine the creative brief.
The HR guide grounds an onboarding script in the mission statement and learning-and-development documents, then iterates on concrete training and mentorship points.
The guide uses Gemini in Drive to locate the applicable sale file and Gemini in Docs to extract the product-specific savings information.
Google's support example drafts an empathetic customer response and iterates on alternative resolutions when the requested shipping option is outside policy.
Gemini in Docs combines a quote file and a separate biography-and-mission document to develop a reviewable press-release draft.
The guide iterates from a team-offsite brief to suitable bonding activities and a structured agenda table.
Google's executive prompt guide demonstrates drafting a formal agenda-adjustment email in Gmail and grounding later work replies in linked status documents.
The Copilot Studio scenario collects nomination details, drafts a summary, requests the user's confirmation, and keeps nomination and recognition history accessible.
The Microsoft workflow compares old and new policies, drafts employee questions and answers, and prepares training and communication materials for review.
Microsoft outlines an agent that organizes learning materials, recommends role-relevant training, supports enrollment and scheduling, and reports completion data.
The scenario connects approved employee and role information with interview scheduling, role-specific onboarding content, and feedback on the transition experience.
Microsoft's scenario combines a project brief, stakeholder discussion, financial analysis, and an executive deck, then revisits the case after implementation.
The example standardizes invoice and payment data, analyzes a 12-month cash-flow comparison, and combines the findings with prior team questions for a meeting brief.
The scenario turns a tool demo and existing documentation into an onboarding guide, draft FAQs, a training presentation, and a request for pilot-user feedback.
Microsoft describes an agent that aligns records across systems, flags missing or mismatched entries, and routes proposed explanations and adjustments for manager review.
The example combines finance data, supplier meetings, and contract records to build an evidence-backed supplier comparison and updated procurement documentation.
The scenario describes analyzing business payment records, ranking overdue accounts, and preparing contextual follow-up actions and reminders.
Microsoft outlines an agent that matches invoice, order, and receipt data, checks policy rules, and recommends a review path for unresolved discrepancies.
The Microsoft example compares two amendment documents, summarizes meaningful differences, and requests colleague review before reusing the methodology for training.
The scenario gathers customer interactions and contract context into a Word brief, supports team discussion, and prepares a presentation of the reviewed considerations.
Microsoft outlines a Copilot Studio agent that normalizes ERP transactions, checks payment patterns and explicit risk rules, and documents flagged exceptions.
Microsoft describes locating affected work documents, comparing them with updated accounting guidance, and preparing revisions and a review summary.
The scenario links meeting recap, document retrieval, Excel cost checks, and Word revisions before requesting stakeholder feedback.
Microsoft's example combines context-sensitive phrase explanations, Teams interpretation, and separate summaries of meeting speech and chat for multilingual collaboration.
The example uses Copilot in Word to summarize and simplify complex language, then supports drafting and reviewing a response.
The accessibility scenario combines cross-source account search, Teams recap, and an Outlook follow-up draft to reduce repetitive typing during customer work.
Microsoft illustrates using Copilot to summarize an inaccessible document and develop related work materials from the resulting text.
The example uses Teams captions and Copilot summaries of Stream recordings to capture meeting content and prepare an accessible presentation.
Microsoft's accessibility example combines Outlook summaries, translation, meeting recaps, and document retrieval to reduce the effort of coordinating international work.
The scenario translates a business question into a warehouse query and keeps the query and returned data beside the answer for team verification.
The example groups CSAT and NPS comments into themes and examines how explicit feedback changed around a release or pricing update.
The scenario groups recent tickets by likely shared root cause and compares the cluster's timing with product changes to support investigation.
The example gathers promises from calls and email before coordinating the CRM change, handoff document, customer-success notification, kickoff, and welcome draft.
The example reads a linked article, summarizes its claims, and compares the implications with the team's documented plans before saving takeaways.
The scenario searches channels, threads, and attachments to retrieve a remembered artifact and the qualifications that accompanied it.
The published routine summarizes selected channels during an absence, puts direct mentions first, and allows a separately defined urgent escalation path.
The scenario uses the call transcript to prepare owned actions, a follow-up email, document updates, and a proposed next meeting.
The example flags conflicting and back-to-back events, proposes feasible moves, and helps the user review meetings that may no longer serve a purpose.
The scenario compares attendee availability and local working hours, proposes suitable slots, and books the selected option after confirmation.
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 example tracks missing receipts, invoice approvals, and unanswered finance queries, then prepares staged reminders and a holdout list for the close owner.
The scenario combines ticket aging, unresolved dependencies, and SLA clocks into a daily escalation watch with draft status updates.
Lindy demonstrates turning a short product-video brief into a script, storyboard, and reviewable draft, with follow-up requests for concrete edits.
The example calculates daily cross-platform ROAS, CPA, and CTR and surfaces campaigns that need review rather than requiring separate platform checks.
The scenario combines marketing sources into a dashboard that the team can query and refine through natural-language requests.
The published example updates a deal from a Slack instruction and finds recent customer replies or commitments that have not reached the CRM record.
The scenario checks incoming invoices against order details, records the intake status, and prepares a query when an invoice includes an unquoted charge.
The scenario researches software vendors, verifies specific capabilities, and prepares a cost-and-tradeoff comparison sheet tailored to a team's needs.
Lindy demonstrates building a recurring leadership deck from CRM, support, usage, and finance sources while preserving the team's slide template.
The example retrieves similar resolved Zendesk tickets to draft a response and uses past resolution context to suggest an owner for unfamiliar problems.
Lindy's published example combines scheduled competitor research with a separate pricing-page change watch and a Slack tracker update.
The workflow analyzes recorded customer calls using chosen communication criteria, logs the feedback, and sends a private coaching summary through Slack.
The assistant asks focused questions about a work issue, explores actions within the user's control, and drafts an escalation summary when the user chooses that path.
The agent reads the current week's planned posts from Sheets and creates dated Asana tasks with the corresponding creative notes.
The workflow turns a voluntary preference survey into an editable team ReadMe covering communication, feedback, and collaboration, then notifies the manager.
The assistant analyzes a chosen deal segment across size, cycle length, and competitive context, then prepares a reviewed brief for Notion and Slack.
The MCP workflow filters accounts by renewal date, assesses engagement and open cases, and records a risk review with recommended follow-up actions.
The agent applies configured lead rules, enriches eligible contacts with Clearbit, and sends a Slack qualification summary with a Gmail draft for review.
The setup workflow defines role-specific signals, maps Ashby application questions, and calibrates the rubric with past applications before scheduling daily candidate reviews.
The assistant reads existing goals, searches recent work activity for relevant accomplishments, and drafts source-linked progress updates for the goal tracker.
The assistant creates several domain-relevant viewpoints, compares their critiques and alternatives, and records a synthesized decision brief for later review.
The workflow identifies a recruiter's roles in Ashby, checks candidate-stage bottlenecks and stale records, and adds unresolved Slack actions to a prioritized review.
The skill investigates a target company's GitHub contributions, engineering writing, and conference activity, then cross-checks professional identities before proposing outreach targets.
The template retrieves Ashby context, asks eligibility questions, calculates a proposed bonus, checks the supplied policy range, and drafts a Slack approval request.
The agent uses a defined audience and positioning to analyze recent subreddit material and produce five differentiated concepts with source links and suggested formats.
The assistant researches a chosen topic, organizes trends, notable products, and open questions, and saves the source-linked brief as a project task.
The MCP workflow reads a metrics tab, identifies major week-over-week movements, and writes a short narrative to a dated Notion page.
The agent reads a selected Slack message and organizes its project context into audience, timeline, deliverables, actions, and budget sections.
The skill extracts facts from hiring data, meeting notes, and Slack, drafts the monthly talent narrative, and coordinates reviewer tasks before leadership publication.
The agent distinguishes messages to read, follow up today, or await another person's response and applies the configured Gmail labels.
The template summarizes Zoom 1:1 transcripts, analyzes chosen communication measures, and tracks coaching feedback over time in a table.
The agent identifies role requests, extracts hiring details, asks for missing information, and confirms the newly created Ashby opening in the original thread.
The agent uses a new BambooHR record to personalize a Slack welcome and calculate calendar check-ins from the employee's start date.
The agent extracts links from a supplied document, reads the linked articles, and creates a consolidated Google Docs summary.
The agent reads Qwoted opportunity emails, compares each request with supplied team profiles, and sends potential expert matches to Slack.
The agent checks the next two weeks of calendar entries, handles configured conflicts, and creates a calendar block containing the planned LinkedIn content.
When a checkmark reaction marks a solved issue, the agent reads the thread, checks existing documentation, and adds a new reference only when needed.
An Ashby-triggered agent resolves the candidate and role and posts a contextual Slack reminder for the interview team's feedback.
An on-demand research agent finds recent industry articles, organizes sections on trends, event strategy, and ticketing technology, and appends source links to an archive.
The agent searches a structured HR policy table, replies within the Slack thread, and escalates requests that the knowledge base does not resolve.
A Zapier agent checks calendar events for guests and an existing conference link, creates a Zoom meeting when needed, and confirms the update through Slack.
The assistant guides a structured career reflection, saves the resulting notes and commitment to Google Docs, and can schedule a follow-up reminder.
The assistant combines an Ashby scorecard, hiring rubric, and Slack context to examine a stated concern and prepare a reasoned recruiter response.
The skill combines Ashby application history with screen notes to draft a consistent evidence-based evaluation, logistics, and questions for the next interview stage.
The agent analyzes submitted survey answers and writes a Google Docs report of expressed feedback, recurring themes, and areas to investigate.
The customizable onboarding chatbot uses supplied company information to answer common new-hire questions and provide an accessible entry point to HR guidance.
A Zapier agent reads recent messages, determines which contain an event request, extracts participants and timing, and creates corresponding Google Calendar events.
The MCP template applies a clear-writing checklist to a draft, foregrounds the requested action, and can deliver the approved revision through Slack or Gmail.
The skill reads a pre-filtered Ashby sourcing dashboard, summarizes the current week's activity, and creates a Slack draft scoped to the recruiter's own numbers.
This workflow reads a candidate's application and interview notes and drafts role-specific feedback bullets in the ATS for a recruiter to review.
The assistant reads recently updated project records, organizes completed, ongoing, and blocked work, and creates an Outlook draft for the project owner.
A scheduled Zapier agent reads the prior day's expense rows and turns them into a categorized HTML email for the chosen reviewers.
A Zapier agent retrieves recent Zendesk tickets, groups feedback by sentiment, and compiles a structured Google Doc for support and product review.
The agent reads a supplied document, generates a cross-functional agenda, and attaches it to a meeting event with the involved stakeholders.
The assistant retrieves an identified brief, reads its audience and key points, and saves a first article draft in the chosen Drive folder.
A customizable Zapier chatbot uses brand guidance and an existing asset to propose channel-specific content variations for a marketing team.
This agent retrieves the latest policies from Box, evaluates an internal request against them, and provides Slack guidance with references to the relevant sections.
A Zapier research agent looks for investments, hiring, and team announcements tied to a named company and returns structured findings with confidence indicators.
The workflow gives an AI assistant MCP access to Google Sheets so it can investigate data, explain findings, and propose edits before changing rows.
The MCP template classifies unassigned support tickets by their subject and description, updates the owning group, and records the routing rationale.
The assistant combines Asana status with launch documents to prepare a readiness assessment showing completed work, open items, and blockers.
A connected AI assistant retrieves specified Slack conversations, summarizes decisions and actions, and can prepare replies for review.
The template captures a Jotform voice recording and category, then uses an AI-assisted workflow to send the idea to its chosen backlog or productivity destination.
This workflow reads product and positioning sources in Notion, then drafts a sales one-pager with benefits, objections, and evidence before sharing it.
The template turns a job description and hiring criteria into stage-specific competencies, questions, strong-answer indicators, and warning signs in a shared Google Doc.
An AI assistant uses the Five Behaviors framework to recommend a team exercise, write facilitation instructions, and save or schedule the plan.
The template retrieves selected Slack threads and documents through MCP and saves a searchable, organized knowledge base that an AI assistant can use later.
This MCP workflow retrieves deals closing in a chosen window and produces a Google Doc with grouped values and a written overview.
Zapier's blog chatbot provides drafting, editing, and restructuring help through a reusable directive that can be adjusted for a content team's needs.
The template combines Ashby feedback and BrightHire transcripts to identify already-covered topics, unresolved risks, and useful final-round questions in a Google Doc.
An AI assistant applies explicit stage probabilities to Salesforce deals, compares a prior snapshot, and prepares Sheets detail and Slack highlights for review.
The workflow verifies role ownership in the ATS, groups new referrals by recruiter, and posts deduplicated Slack threads for follow-up.
The MCP template identifies inactive deals using chosen thresholds, prepares an Excel audit with next actions, and sends Outlook nudges after review.
The template gathers role objectives through a chatbot and combines them with company examples to draft a job description, application questions, and interview guide.
A chatbot guides employees through a goal framework, saves conversations and feedback in Tables, and lets HR analyze recurring confusion and drop-off patterns.
This agent researches newly added ActiveCampaign contacts and updates fields such as job title, industry, company size, and location.
A Zapier agent researches a lead's company, role, and public profiles, then uses that evidence to improve an existing outreach draft.
A Motion Google Play reviewer recommends entering the term's assignments up front and organizing them by class project. The listing identifies AI task scheduling and notes that mobile is a desktop companion.
A Google Play review describes using Toki to turn images into a calendar schedule and sync it with multiple calendar apps, providing a concrete usage signal beyond the developer's general assistant claims.
An App Store reviewer reports giving Pine a ticket photo, receipt, and explanation, then receiving confirmation that a dispute had been submitted. The review establishes a reported submission rather than an adjudicated outcome.
Agent Use Cases summarizes an Engadget writer's Muse trial that pulled recipes from saved Facebook and Instagram posts and returned groups containing ingredients, steps, and links to the originals.
Agent Use Cases relays an Alexa+ conversation that synthesized scattered rice-shopping questions into a unit-price comparison. The account also notes that some price knowledge was inconsistent.
A public repository documents an agent that polled ESPN, used Claude Haiku for short commentary, checked scores deterministically, and sent confirmed results to Signal. Its 2026 World Cup deployment is retired.
CrewAI's screenwriting example analyzes a discussion, creates dialogue, and formats a screenplay; the README includes sample input and output and supports several model endpoints.
CrewAI's public example extracts CV information and compares it with job opportunities to generate a matching report, with agents and tasks configurable in YAML.
Anthropic's Cowork recipe starts from a driver model, actuals, and a headcount plan, then produces base, upside, and downside tabs with changed assumptions and a short explanatory memo.
Anthropic demonstrates combining an uploaded paper, supporting data, a rubric, and Canva to produce a presentation structure and speaker notes, with manual refinement and layout checks afterward.
Anthropic's Claude-in-Chrome recipe reads several open product pages, normalizes differently named specifications, and assembles a side-by-side document with category comparisons and source context.
Anthropic's walkthrough has Claude read Microsoft 365 calendar and email context together, identify preparation and blocked replies, and create a weekly overview instead of isolated calendar and inbox summaries.
This Zapier template reads the reacted-to Slack thread, estimates urgency and task duration, finds a weekday opening, and creates a Calendar event containing the original discussion link.
Claire Vo's Zapier template reviews the coming week's Calendar events and sends a Slack summary with meeting details and suggested focus blocks, scheduled for Sunday evening.
Zapier's Travel Booking Organizer searches Gmail for confirmed flights, hotels, and rental cars, extracts reservation details, creates Calendar entries, and compiles a Discord notification.
Zapier's Career Wins Collector turns an emoji reaction into a contextual summary of a Slack conversation, highlighting the user's contribution and preserving the date and original message link.
Zapier's template reads a week's Google Doc entries, classifies their emotional tone, identifies patterns, proposes a small habit, appends the analysis, and sends a Slack reflection.
This n8n workflow finds completed online meetings, retrieves their transcripts, and lets an AI agent identify follow-up meetings and assemble Calendar events with known attendees.
Dataki's introductory n8n template gives an OpenAI-backed agent just two calendar capabilities: retrieve events and create an event. Sticky notes explain the setup inside the workflow.
An n8n template separates menu costing, leftover recipe suggestions, a nutrition diary, and draft social copy into specialist agents writing to dedicated Google Sheets tabs.
This n8n community template transcribes Telegram voice messages, extracts meal ingredients and estimated nutrients with OpenAI, stores structured rows in Sheets, and replies with a confirmation.
A Cowork user describes creating a reusable tracking skill and spreadsheet, then using Dispatch on their phone to log meals, look up nutrition information, and view daily running totals.
A Reddit demo shows Receipt Reader Pro transcribing three shopping and restaurant receipts and returning a CSV summary suitable for copying into a bookkeeping sheet.
A Reddit poster describes a teacher's no-code AI workflow that combines Classroom, email, and paper submissions into one homework report. The implementation is reported secondhand and lacks a published template.
A commenter describes backing up Health Connect to Drive, extracting its SQLite data into CSV, and using a Claude Project to review trends without maintaining an MCP server.
A Reddit commenter reports uploading more than 100 images and receiving a new ZIP with descriptive filenames and category folders, then successfully locating a vaguely described image.
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.
An English Facebook post supplies a reusable Tutor Me workflow: describe a skill and daily time budget, generate a month-long practice plan, then ask follow-up questions on the first topic.
Xiaomi's English Facebook demo shows its Notes app using HyperAI AI Writing to generate a travel checklist. This is an assistant feature demonstration rather than a measured autonomous-agent deployment.
A Facebook tutorial gives a concrete Higgsfield-and-CapCut workflow: generate an Earth Zoom Out from a selected frame, reverse the result, and join it to the original clip.
Vibgy Joseph describes giving Muse three clips for a gift-basket auction video and requesting music and changes in playback speed.
A user reports that Muse helped plan and execute a birthday gathering for ten people at a local taqueria, including cake.
A user describes asking Muse to organize two dates of irregular spend before a call with an account representative, then preparing a support case when requested.
A Muse user describes identifying a forgotten song after Instagram or Spotify removed the audio originally attached to a video.
The publicly shared Pantry Pilot Grok Bot template turns a fridge photo into a weekly meal plan and a matching cart while stopping before checkout.
A user describes Muse merging duplicate Apple Contacts and selecting the phone number or email address used most recently as the primary contact information.
An X user reports that JooVoice called a rental company, navigated the phone menu, waited on hold, and completed an infant-seat request for an existing reservation.
Agent Use Cases documents a ChatGPT-assisted Adobe support exchange where repeated questions established cancellation timing, fees, and access terms before the provider granted a one-time waiver; that outcome is case-specific.
My First Car Bot is publicly shared for maintenance, registration, inspection, insurance deadlines, repair-quote explanations, and moving a vehicle between states.
A traveler says Muse identified that American's LAX bag drop was in a different terminal from the flight departure, avoiding a last-minute terminal change.
The template rejects OTPs and unknown senders, structures transaction alerts into a Sheets ledger or review queue, and answers spending questions through a Claude Telegram agent.
A maker demonstrates a custom Amazfit-to-Muse integration: audio recorded on the watch goes to Meta Muse and the response returns to the watch. Reproduction requires a compatible device and a custom SDK adapter.
An X resource list points to an unofficial Telegram bridge. Its README specifies that the bridge runs on the Grok Bot remote computer and permits only allowlisted private chats.
A Muse user reports obtaining a same-day appointment after asking the agent to monitor cancellations at an otherwise fully booked practice.
Leigh Drogen reports that Meta Muse worked through a two-year-old rental-car insurance claim over a week and recovered $1,400; this is a user-reported result.
A consultant reports using Claude Code to inspect a client spreadsheet, identify duplicate item records across warehouses, and recognize identifiers whose trailing zeros require text storage.
The shared Homework Coach Grok Bot template advertises Socratic hints for schoolwork and holds back the final answer so the learner can attempt the problem.
Tom's Guide relays a user's Muse workflow for reaching a human home-insurance representative: the agent handles the automated menu and waiting, then calls the user for the substantive conversation.
The author reports that Muse found the prior HVAC vendor in Gmail, saved the contact, and texted to schedule a same-day appointment.
The publicly shared Homeschool bot drafts weekly activities around the household's actual available blocks and gives a concrete next step for the day.
A user reports that Muse found the planned opening date of a favorite bakery's nearby location, resolving a small local-information task.
The user describes a Muse setup with several agents researching technology news hourly, updating a webpage, and producing an MP3 podcast, while noting its usage consumption.
The user reports that Muse researched nearby restaurants, contacted three grocery stores about a particular item, and summarized the findings for a family trip.
A user says Muse mapped more than 200 saved reels into an itinerary, turning saved social recommendations into a usable city plan.
A user reports that Meta Muse helped order flowers for their wife's birthday; the post presents the purchase as a completed personal task.
An English X account reports that Muse booked restaurants for a Japan trip and exchanged Japanese messages with a Hakone hotel to secure a dinner slot absent from its website.
The post describes a recurring Muse routine focused on fantasy-football injury news, matchups, and a short additional story before the week's games.
An English X post links a walkthrough of Muse on Mac covering file organization, locating lost documents, summarization, and email tasks; this lead focuses on document retrieval.
The author reports that Muse recovered a $200 Verizon gift-card benefit they had forgotten to claim after signing up for service.
Within a broader task report, the author says Muse filed a $516 veterinary claim for their dog; the post does not independently establish the insurer's final payout.
The author reports that Muse handled the customer-service and scheduling steps for an IKEA return, culminating in a pickup at their home.
The author reports using Muse to build an automation that changes the phone's display to grayscale when opening Instagram as a screen-time aid.
A user describes Muse researching a 1966 beach badge on eBay and comparing collector-group information; the claimed authenticity check is the user's report, not an independent guarantee.
Morgan DeBaun's tutorial describes daily Gmail categorization and a Slack digest, prioritizing unresolved business messages while leaving sending to the user, plus a Friday review of stalled drafts and follow-ups.
The author shares a Grok Bot template based on searching Facebook for photos and videos of their wedding and saving the discovered media to a folder.
Gaurav Munjal describes having Grok Bot reconstruct people met in historical calendar events, with LinkedIn enrichment in a Notion database.
A Grok Bot walkthrough searches public complaints and alternative requests, then uses Amplemarket to investigate the person and company before outreach.
The Hearth author describes using a shared family workspace for notes, schedules, and rituals, with an agent building calendar and travel apps over that context; the post labels the software beta.
The workflow searches a live product API, waits separately for selection and purchase approval, then submits a checkout request and reports the asynchronous order result in Slack.
OpenAI categorizes submitted expenses and marks those needing approval, while the workflow records status in Sheets and sends managers details through Telegram and Gmail.
An agent filters an IMAP mailbox for the chosen industry topic, enriches relevant items with Tavily research, and produces an HTML email digest.
Agent Use Cases relays a doctoral writer's switch to NotebookLM after invented citations elsewhere, using clearly named uploaded papers, a standing citation-format instruction, and manual reference audits.
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.
The PreApp builder reports publishing an HTML artifact through four versions and pulling six reviewer notes back into the coding agent with their version and location.
The LLMnesia author describes a local conversation index and an already-live Continue In feature; portable memory and semantic search were still upcoming in this post.
OpenAI vision extracts receipt totals and currency; deterministic checks compare them with expected booking values and route uncertain or mismatched documents to Slack.
The template links a Gumloop agent to BasicOps through MCP so it can read task context, respond to mentions, and act within the workspace.
GPT-4o-mini summarizes resume PDFs linked from a candidate sheet, emails the interviewer a structured brief, and marks the row processed to avoid repeats.
A LinkedIn walkthrough starts a ChatGPT Project with business FAQs, service information, SOPs, and brand voice notes, then uses that shared context for client follow-ups and proposal drafts.
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.
The public portion of this accounting walkthrough uses current and prior ledger exports plus reconciliation support to prepare a review spreadsheet, while leaving close approval with accountants.
The author describes a Claude Code workflow that reads seven days of Substack performance, proposes topics, drafts Notes from voice files, and exports a scheduling CSV for review.
A home renovator reports supplying measured joists and pipes, then using Claude for a staggered panel layout, kerf-aware cuts, and paper templates; photo-only geometry extraction had produced errors.
WayinVideo summarizes a course video and GPT-4o-mini turns the learning points into structured tasks with estimates and checklists, which are created in ClickUp and logged in Sheets.
GPT-4o extracts property details from configured Facebook-group posts and classifies them against a defined buying brief, with qualifying links delivered through Twilio.
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 template computes property metrics from price, rent, and expenses, checks duplicate records, and uses Groq-hosted AI to prepare an explanatory email report.
The agent uses Reducto to extract resume information and can connect the parsed profiles with the recruiting team's Ashby and Slack workflow.
The Reducto-powered agent parses contract documents and extracts the specific provisions requested by the reviewer.
The Reducto-powered agent processes scanned, handwritten, and table-heavy PDFs that need more than basic text extraction.
Bronson Elliott documents a Cowork pipeline that filters newsletter email, synthesizes overlapping stories, renders local Qwen3-TTS audio, and updates a podcast feed. The write-up also covers failed voice and network-dependent approaches.
Vibooks' author separates a local double-entry bookkeeping core from the AI agent that reads documents, suggests classifications, and operates HTTP APIs; the post explicitly retains accounting judgment and tax filing outside the app.
Claude extracts invoice fields, the workflow checks the invoice number for duplicates, and Odoo receives a draft bill for an operator to confirm.
The Telegram template searches Amazon, Walmart, and Google Shopping in parallel, normalizes offers, and uses OpenAI to assess variant matching and suspicious listings.
Claude turns a traveler's WhatsApp messages, photos, and locations into daily narratives stored in Google Drive, using earlier entries for continuity.
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.
Researchers report using Claude Projects to cross-reference their own notes on 39 qualitative studies, while finding hallucinations and incomplete analysis that required checking every output against the spreadsheet.
The flow takes a brand, competitor, time window, and focus area and generates an emailed competitive-advertising research report.
Jax describes a personal CRM built from Supabase, four MCP operations, and Markdown workflows. Claude enriches a supplied profile with Harmonic, attaches Granola notes, and supports contextual searches across contacts.
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.
Azure OpenAI compares buyer preferences with a property database, retrieves relevant Drive decks, and helps organize the lead record and follow-up priorities.
The published flow uses Gemini 2.5 Pro to analyze a long YouTube transcript and draft a blog article, X thread, and LinkedIn posts in a Google Doc.
A self-hosted workflow combines search and Google Trends data with Perplexity research and Claude writing, then renders a report through Autype.
The flow enriches lead rows, drafts personalized messages with Gemini, checks CRM duplicates, and logs outreach and reply status in Sheets.
The Gemini workflow reads product-image URLs, generates image prompts, combines products with a supplied model image, and saves images and prompt records to Drive and Sheets.
A Gemini Telegram agent uses separate Google Sheets tabs for income and expenses and supports conversational additions, lookups, and deletions.
The template combines GPT intent detection, MongoDB product search, Redis sessions, and Gemini image generation for a conversational shirt-shopping flow.
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.
Amazon documents Send to Alexa for supported US Kindle Scribe devices: shared notebooks can be summarized and converted into suggested priorities, to-do lists, Calendar events, and reminders.
The AI Parser turns unstructured sales notes into deal data that the workflow uses to create or update CRM opportunities.
A webhook-driven research agent uses Parallel MCP tools, returns structured findings, and emails a formatted report, with Apple Shortcuts as an optional trigger.
Claude turns mapped customer details and conversation context into proposal content, which PDF Noodle renders using a custom branded template.
The workflow selects a current article from RSS feeds, drafts a Telegram summary with Gemini, and waits for a human approval action before publishing it.
The receipthero-ng author describes detecting tagged Paperless documents and converting receipts or invoices to usable JSON using schema definitions, with Docker Compose setup documented in the linked project.
Voxxy analyzes Google reviews for a venue or multi-location business and organizes praised experiences, recurring problems, competitor context, and improvement priorities.
The agent reads an X timeline using explicit inclusion, exclusion, timeframe, and post-type instructions rather than returning an undifferentiated feed summary.
OCR and AI parse attached timesheets into month-specific billable hours, including weeks spanning months, before the workflow creates QuickBooks invoices and an audit sheet.
The agent combines inbox context with Exa searches to research people, announcements, and other external facts relevant to an email draft.
The agent reads a deal's context and searches a reference-customer sheet for a suitable match to help the sales team prepare a reference request.
The Gumloop agent reads a blog draft or URL, uses Semrush context, and proposes keyword, structure, and title improvements for editorial review.
The agent analyzes multiple Gong transcripts using configured sales frameworks and returns cross-call insights through Slack.
The agent uses product documentation to handle support questions and can convert unresolved customer conversations into Jira issues with configured routing fields.
The flow reads a documentation URL, uses AI to identify concepts that may confuse readers, and saves draft FAQs in a Google Doc.
The flow researches reviews and forums, classifies comments into useful categories, and generates a summary of recurring product feedback.
The flow combines a feature concept, audience, and problem statement with Olostep research to draft a market-fit assessment in Google Docs.
The flow researches competitor releases and market signals and prepares evidence-backed roadmap opportunities for a product team's review.
Olostep research and AI synthesis turn public forums and review material into a persona-specific pain-point report and product questions.
The flow combines Apollo contact context and Olostep company research with an explicit ideal-customer profile to prepare a fit assessment.
The flow combines a prospect's website with Olostep research on hiring and market signals to create a targeted sales battle card.
Gemini transcribes and analyzes a submitted video to produce Cornell notes, Feynman-style explanations, micro-goals, and practice activities in Notion.
The template reads PDF or DOCX resumes from a Notion candidate database, compares them with the linked job requirements using OpenAI, and writes scores and feedback back to Notion.
The flow monitors a chosen Gmail label and uses an agent's explicit response and voice instructions to decide when a draft is warranted.
Gumloop shares a flow based on its expert-vetting process, combining public research, company context, internal usage data, and written requirements before reporting the assessment.
OpenAI assesses CRM, support, and PostgreSQL usage data; the workflow can create a Stripe coupon and compose a tailored retention email for selected customers.
The flow checks imminent calendar meetings and has an agent gather email, CRM, Slack, and attendee research, sending a Slack brief when useful context exists.
Gemini reads the public admission pages of selected schools and triggers email when an announcement matching the configured class and year appears.
An AI classifier turns school emails into calendar events, Drive notes, and categorized notices, including reminders for the following day's activities.
This agent first explores the connected data source and records schema context, then answers natural-language questions with structured results and optional visual output.
A GPT-4.1 assistant transcribes voice or reads text, answers product questions from store information, and records order details in Google Sheets while retaining conversation context.
An AI agent checks a Sheets list of birthdays and anniversaries, uses relationship notes to personalize messages, and passes matching greetings to an email step.
An AI workflow subtracts travel time to the next meeting from a calendar gap, then recommends a nearby cafe matching preferences or sends a departure reminder.
Using Parallel research tools, the agent evaluates technical and content signals, identifies competitors, and produces a prioritized SEO gap report.
The agent combines Google Ads account data with Semrush and Exa research to identify weak keywords, competitive positioning, and optimization candidates.
This workflow OCRs uploaded receipts, stages parsed blocks in Supabase, and uses a travel-expense agent with a calculator to return a structured reimbursement breakdown.
The flow retrieves top posts for a chosen subreddit and time window and uses AI to report themes, sentiment, and notable outliers.
The workflow researches the chosen AI topic and turns the findings into a LinkedIn draft and related follow-up material.
The workflow extracts key dates and actions from school-related messages and stores concise records in Notion for family or student follow-up.
The flow reads matching Gmail messages, extracts attachment text with a file reader, and summarizes the PDF contents for review.
Claude returns sentiment, tone, reply, confidence, and handover fields; post-processing applies length and content rules before routing a response for review.
The published workflow gathers conference details, exchange rates, and flight quotes, then prepares a budget-aware approval email and PDF expense breakdown.
An iOS Shortcut uses on-device Voice Memos transcription, optionally summarizes the text, and sends it through n8n as Markdown to a Drive-synced Obsidian folder.
An English video walkthrough connects n8n, OpenAI, Gmail, Calendar, and research tools to a personal assistant, demonstrating the construction of an integrated assistant rather than reporting a controlled benchmark.
The workflow combines HubSpot records, support context, and usage data from Sheets, then uses AI to assess customer health and explain recommended next steps.
Claude converts the day's Google Calendar events into a concise message that Twilio sends by SMS, allowing a calendar briefing without opening another app.
The workflow retrieves recent AI papers, uses Gemini to assess relevance, and emails structured summaries of publications that pass the user's criteria.
The workflow reads survey data from Sheets, groups responses by sentiment, analyzes batches with AI, and saves a consolidated thematic report with Slack notification.
After creating QuickBooks invoices from Jotform orders, this workflow uses an AI agent to decide reminder actions and sends selected follow-ups through Outlook.
The template indexes provided learning documents in MongoDB Atlas and uses a Gemini Telegram agent to retrieve relevant passages before answering questions.
An OpenRouter-backed agent reads open Todoist tasks, prioritizes them using configured criteria, and posts a concise plan with overdue-item warnings to Slack.
A Telegram workflow uses vision to identify ingredients and a second model step to generate three structured recipes, then formats the suggestions for chat.
Gemini extracts a task title and due date from Telegram messages or voice notes, then lets the user approve or decline the proposed Notion task.
A Jotform-triggered workflow combines OCR and Gemini to calculate a receipt-based customer reward, checks the result, and logs the transaction in Notion.
An AI workflow retrieves meeting minutes from Drive, analyzes communication and participation, and returns a structured feedback report with suggested improvements.
Gemini drafts a reply using the sender's HubSpot contact, company, deal, and ticket context; the workflow sends through Gmail only after Slack approval.
Mistral OCR reads bank statements and GPT-4 proposes transaction-to-invoice matches, returning a reconciliation table with unmatched and review-needed items.
The workflow combines Google Sheets storage with an AI recipe agent, allowing Telegram users to retrieve, create, search, and modify saved recipes.
Google's NotebookLM walkthrough shows flashcards and quizzes generated from a user's documents, adjustable by topic and difficulty, with explanations that cite the original material.
Gemini summarizes selected news while parallel branches retrieve weather and calendar events; Google speech synthesis and FFmpeg turn the combined script into audio.
Gemini extracts available ingredients and dietary constraints from WhatsApp messages and translates them into FatSecret recipe-search parameters.
OCR and Claude identify invoice and payment data; a Slack reviewer approves partial or final payment updates, with receipt records related back to each Notion invoice.
This self-hosted template combines a resume and job-description PDF, uses Perplexity to produce a tailored HTML resume, and converts it to a PDF stored in Drive.
This workflow transcribes selected LINE messages, stores notes in Supabase, and supports retrieval and a scheduled Gmail digest.
The template validates incoming orders, checks local calling hours, and uses a Vapi voice agent to confirm order details while updating status records.
Gemini summarizes new article or YouTube links from a Sheets queue, stores the results, and lets a Telegram assistant retrieve the saved reference material.
The Gemini-powered backend receives a resume and job description, retains interview history, and produces follow-up questions for a voice-enabled web frontend.
A self-hosted workflow parses a travel query with Gemini, obtains accommodation listings through MCP, and combines them with live Amadeus flight offers.
Annika Helendi's Lindy trial describes a calendar-triggered call-prep template that researches the attendee with LinkedIn, Crunchbase, and web search, then emails a brief shortly before the meeting; she distinguishes this from more complex agent workflows.
An ElevenLabs voice agent collects travel preferences, then GPT-4o searches a Pinecone index of tour packages to produce an itinerary recommendation.
This workflow combines public company research with specialist AI analyses of sustainability and animal welfare, producing a structured assessment and narrative evidence.
Claude analyzes marketing data exposed through GoMarble MCP and creates a formatted report delivered through Gmail on a configurable schedule.
Gemini classifies Telegram messages by intent and routes shopping questions to a live Amazon search and product-ranking flow.
A GPT-4 agent interprets text or voice requests and routes them to specialized workflows for posts, images, image edits, and other marketing assets.
The template combines transaction details, IP geolocation, and Gemini analysis into booking-risk categories, with a Google Sheets audit trail and configurable responses.
The template retrieves a TikTok transcript, uses GPT-4 to identify pain points and triggers, and drafts a product-related post recorded alongside the research.
Dumpling AI retrieves a business's reviews and GPT-4 identifies recurring pain points, motivations, and voice-of-customer material in a Google Sheets research log.
This self-hosted template receives an Apify job dataset, filters relevant roles with AI, researches company decision-makers through Tavily, and updates Google Sheets.
The smart-calendar template combines OpenAI analysis, Perplexity research, and weather data to prepare contextual event notes delivered through Telegram.
Gemini analyzes three restaurant data streams in Sheets and merges sales highlights, waste-reduction suggestions, and customer-feedback themes into an email report draft.
The author's gift project combines a birthday webpage with an AI character that reads preferences and stores the evolving fictional story state in PostgreSQL.
The workflow reads language, proficiency, and interests from Sheets, researches current stories through Perplexity, and uses DeepSeek to produce level-adjusted reading, vocabulary, and grammar notes.
Agent Use Cases describes a person recording a narrated Loom task, having Gemini 2.5 Pro turn the video into instructions, and then asking ChatGPT Agent to execute that procedure.
This workflow processes unread messages carrying a receipt label, extracts financial fields with OpenAI, stores attachments in Drive, and marks processed messages as read.
A self-hosted n8n template uses Mistral to structure chat-submitted expenses, archives receipt images in Drive, and links the resulting Google Sheets rows to the originals.
A VLM Run workflow parses emailed resumes, analyzes linked GitHub activity, and records a technical candidate profile with notifications for the recruiting team.
A tenant reports that a landlord waived a $275 cleaning fee after receiving a ChatGPT-drafted letter; this is an individual account rather than a guaranteed legal outcome.
EchoStream's Show HN introduction describes an iPhone agent motivated by the founder's daily scan of Hacker News, GitHub projects, and products, with local processing as a central design choice.
GPT-4o extracts flight details from email and the Carbon Interface API calculates an emissions estimate that is logged for business-travel reporting.
The published agent workflow alternates idea generation and critical review, then uses specialist prompts to develop an accepted campaign's audience, tactics, budget, and measures.
Gemini processes new form-response rows, extracts a concise testimonial candidate, writes it to Sheets, and notifies the marketing reviewer by email.
A scheduled workflow retrieves Who Is Hiring posts, cleans individual job comments, and uses Gemini to extract structured listings for Airtable.
A small n8n chef-agent template accepts ingredients through a webhook and asks Ollama for five ideas plus a short list of missing ingredients.
A Gmail workflow uses GPT-4 to classify messages and summarize important content, with Telegram alerts for items that meet the configured escalation criteria.
This language-learning workflow combines translation, AI-generated pronunciation and example sentences, and image retrieval to build vocabulary material suitable for flashcards.
The template uses an OpenAI model to interpret voice or text messages and create structured tasks and subtasks in Todoist.
An OpenAI email agent combines Outlook messages with contacts synced from Monday.com and classification rules held in Airtable to set categories and importance.
The demonstration retrieves portraits from Drive and uses Gemini vision plus supplied passport-photo requirements to return a structured validity assessment.
An AI workflow analyzes product feedback, considers whether a coupon is appropriate for negative sentiment, and produces a personalized customer email template.