Support
Agents that tag and route tickets, draft replies from your help docs and escalate the conversations that need a person.
61 published use cases
Every new Zendesk ticket gets a category, priority and sentiment tag plus a draft reply in an internal note before an agent opens it.
An OpenProject setup that auto-assigns work packages to AI agents, runs QA review on pull requests, and closes tickets when they pass.
Via Hacker News · kookster310 ↗Spot order-status questions in the support inbox, look up the order in Shopify and reply with live tracking and an honest ETA.
A Slack agent answers enrollment and coursework questions from your Notion handbook, cites the page, and tags staff when it is unsure.
A study reveals AI agents increase code output significantly but do not enhance ticket resolution rates due to longer PR review times.
Via Bluesky · @randalschwartz.bsky.social ↗Discover how to streamline customer feedback processes using AI tools like Gemini, Airtable, and Slack.
Via YouTube · simpleit360 ↗Automated replies using a Chrome extension transformed my engagement process, saving hours daily.
Via Bluesky · @tatecole.bsky.social ↗Clarifying the differences between Grok API and Grok Bot to enhance email management.
Via Bluesky · @obiryder.bsky.social ↗Tori is an AI support agent designed to tackle complex product inquiries effectively.
Via Hacker News · skrebbel ↗Learn to develop an AI voice agent that can handle appointment bookings around the clock.
Via YouTube · ADHISHIV Tech and Ai ↗Mastra.ai streamlines the development process by orchestrating tasks outside of LLMs, allowing for efficient ticket implementation.
Via Bluesky · @nick-tune.me ↗Lindy agents summarized meeting notes, sent action items to teammates, suggested knowledge-base replies on support tickets, and handled follow-up emails and calendar updates.
Original post ↗A Slack watcher starts a Devin session on each new client message to investigate, create a Linear ticket, draft a response and route follow-ups.
Original post ↗An n8n workflow catches customer replies to order confirmations and forwards support requests into Freshdesk.
Original post ↗The author built Codex skills that convert voice notes into formatted Linear tickets, review YouTube analytics weekly, and run nightly self-improvement automations.
Original post ↗Grok Bot bought a Hyrox event ticket for the user before it sold out.
Original post ↗Grok Bot reviews human and bot-handled tickets, coaches, flags long back-and-forths, posts daily Slack reports and synthesizes feedback.
Original post ↗Mika Reyes set a Grok Bot routine to keep checking a Dancing with the Stars ticket website and come back with times.
Original post ↗Grok handled live chat, email, tickets, refunds, knowledge base, QA, reporting and escalations for an 8-person support company, per the author's account.
Original post ↗Grok Bot read calendars, picked a time and booked a restaurant; roundup also lists watching recreation.gov, ReserveCalifornia and AMC ticket drops.
Original post ↗A custom Meta Muse skill checks the calendar, confirms movie times and seats, buys tickets, adds the booking to the calendar, and sends a traffic-aware departure reminder.
Original post ↗An AI agent built on Claude and GPT cancels orders, tracks shipments, creates return labels and processes refunds for Shopify merchants' support tickets (vendor listing).
Original post ↗An agent inside a store's helpdesk reportedly processes refunds, creates shipping labels and edits subscriptions on Recharge, Loop and Skio (roundup claims).
Original post ↗Built an agent that answers product and pricing questions, handles follow-ups, gives payment details, notifies admins of payment proof and hands off to humans via a dashboard.
Original post ↗The author built an autonomous support agent for a three-person team facing 847 waiting customers, reporting 500+ tickets a day and a 94% resolution rate (self-reported).
Original post ↗The poster used ChatGPT to draft an appeal of a street-sweeping parking ticket, and the ticket was dismissed.
Original post ↗A developer sends tasks via Telegram/OpenClaw into Linear, where Cyrus routes each to the right repo and model and opens PRs for review.
Original post ↗Luke runs several Hermes agents that read Jira tickets, write code, review PRs, track costs, summarize docs and send updates.
Original post ↗An n8n system captures email and form enquiries, creates tasks, and lets the owner reply via Telegram while the AI sends emails and updates status.
Original post ↗An n8n workflow scrapes a website into a knowledge base, answers customer questions on WhatsApp and converts inquiries into booked calls.
Original post ↗A PM has Claude Cowork read completed Linear tickets, pick what matters, draft the update and suggest email or in-app format, replacing about an hour per sprint.
Original post ↗OpenClaw manages a Linear roadmap, prioritizes support conversations, handles calendar and todos, checks notifications, and manages sponsorship opportunities.
Original post ↗Support admins built CLIs and skills for Confluence, Jira and Zendesk with Claude Code, and used a custom GPT to draft ticket answers that had to be pasted back manually.
Original post ↗Cursor's background agent built a pricing landing page from a short spec in about 5 minutes on a new branch and opened a PR.
Original post ↗An n8n agent looks up the knowledge base and order history, replies by email or escalates to Slack with a draft; billing and security go to humans.
Original post ↗Devin's docs describe reading a Notion PRD to create Linear tickets, producing implementation plans for a backlog, and posting customer health summaries to Slack.
Original post ↗A customer disputed an incorrect Vercel bill and the company's support AI agent produced and offered a refund on its own.
Original post ↗Healthie's Zapier agent checks CRM and support tools weekly for churn or expansion signals and posts a summary in Slack; Erewhon drafts personalized support replies.
Original post ↗A planning agent that works across Google Calendar, Linear, Gmail, and Google Docs through MCP.
Original post ↗A Zendesk AI Agent autonomously handles over 2,000 monthly product-question conversations for a client, letting three support staff move into sales.
Original post ↗A Claude Code skill builds scripts against support, billing and database APIs to list and triage tickets, gather billing context, draft replies, and run refunds and cancellations.
Original post ↗Cursor's support team uses Cursor with MCP to pull Datadog logs, search past cases, and draft a Linear bug ticket and customer reply.
Original post ↗The reviewer prompted Lindy to build a support agent, connected Google and Slack, and had it ready to run; only setup was described, no long-run results.
Original post ↗Lindy agents handle routine support tickets and, for one founder, prepare daily briefings and manage calendar conflicts, per a vendor-published case study.
Original post ↗Pulls tasks from GitHub Issues or Linear, then runs Claude Code or Codex in isolated Kubernetes pods to carry each one through to a PR.
Original post ↗A reporter linked OpenTable, Ticketmaster, Uber and Thumbtack to Alexa+ for booking, but found it beta-like, error-prone and sometimes not hearing them.
Original post ↗Microsoft's Omar Shahine used OpenClaw at home to draft emails and investigate concert-ticket prices.
Original post ↗Stripe describes its internal Minions coding agents that take tasks end to end into code changes; the post is a headline only.
Original post ↗An n8n and OpenAI agent answers WhatsApp questions from a knowledge base and escalates low-confidence cases to a human on Telegram with full context.
Original post ↗A ClickUp support engineer built a system cutting per-ticket research from 15 to 4 minutes across 5,000+ monthly tickets; Mercari handles first replies for 97% of tickets.
Original post ↗The poster used ChatGPT's suggested wording in a support chat, asking about the earliest cancellation date, fees and access end, to cancel Adobe Creative Cloud without a penalty.
Original post ↗A commenter reports ChatGPT agent actually sent emails after the user signed into their email account, and asks whether it can buy plane tickets.
Original post ↗The poster told an AI agent to negotiate a cheaper price in GoDaddy support chat, checking for replies every 60 seconds, and says it got a better deal.
Original post ↗Meta Muse negotiated with AT&T support chat to cut a fiber plan from $85.94 to $60/mo while keeping the bundle discount and no contract.
Original post ↗Muse agent planned a wife's birthday evening, booking dinner and buying two tickets with permission after refining location details.
Original post ↗Meta Muse deleted 20k+ old Hotmail emails, chased a missing refund via ISP support chat, and scheduled an HVAC tune-up from maintenance history.
Original post ↗Codex navigated Amazon settings to cancel a subscription, then chatted with customer service and secured an immediate $15 refund.
Original post ↗A platform builds website and WhatsApp support agents that answer questions and book Google Calendar appointments, plus an autopilot that scrapes Google Maps and preps outreach with demo bots.
Original post ↗A local Qwen model on a Pi reads car OBD data and the manual to answer car questions, controls AC and locks via cloud, and alerts other agents to a breakdown so they can look up train tickets.
Original post ↗Muse dealt with IKEA customer service and scheduled the pickup, which showed up at the user's door after he had forgotten about it.
Original post ↗ChatGPT Agent picked seats on a theater site, paused for payment details, bought tickets after confirmation, and created a calendar event.
Original post ↗For common questions with clear answers in your docs, yes, and many teams let the agent reply directly. For billing, bugs or upset customers, the safer pattern is an AI draft that a support rep edits and sends.
Across the 61 published workflows on this page, the most used tools are ChatGPT (7), n8n (7) and Grok Bot (6). Each use case lists every tool it needs and the role it plays.
Open any use case to see the tools, the step-by-step setup and example prompts you can copy. Start with a beginner workflow, run it on a small batch and review the output before you automate it fully.