- Scrape reviews
- Tag with ChatGPT
- Load into Airtable
Mine 1,000 product reviews for gaps and complaints
Apify scrapes reviews of your products and your competitors', ChatGPT tags each one, and Airtable shows which complaints keep coming up.
Support
Agents that read reviews, surveys, NPS comments and feature requests, then group them into themes your team can act on.
31 published use cases
Apify scrapes reviews of your products and your competitors', ChatGPT tags each one, and Airtable shows which complaints keep coming up.
Discover how to streamline customer feedback processes using AI tools like Gemini, Airtable, and Slack.
Via YouTube · simpleit360 ↗Every new Zendesk ticket gets a category, priority and sentiment tag plus a draft reply in an internal note before an agent opens it.
Explore macros.dev, an innovative editor combining Emacs features with Rust and Scheme for enhanced productivity.
Via Bluesky · @tukeysheets.com ↗Podium helps users improve their presentation skills through rehearsal and coaching features.
Via Hacker News · jvanveen ↗A new dad created a baby feeding tracker using GitHub, turning it into a helpful tool for parents.
Via Hacker News · kilianciuffolo ↗Explore a cutting-edge workflow for music production using AI, showcasing the potential of GPT-6 in creating tracks.
Via YouTube · Studio Pilot ↗Gridmark allows users to design logos by adjusting shapes on a grid, all within their browser.
Via Hacker News · mattems ↗The author had a swarm of Claude agents run 4,654 searches to catalog AI bot names and analyze naming trends by gender, industry and year.
Original post ↗The poster says Muse navigated a survey, solved a captcha and submitted a response with no human intervention.
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 ↗A user had Grok Bot fill out a survey to get free stuff; it has worked once so far.
Original post ↗Manus built a Google Form survey on undergraduates' views of AGI; the author hit a snag when asking it to fill the survey with synthesized student responses.
Original post ↗A supervisor Zapier agent delegates to sub-agents that write weekly leadership reports from Jira data and handle feature requests via a Slack slash command.
Original post ↗Sid Nanda's company uses Devin in Slack to triage feedback, turn user issues into PRs, debug async flows and infra read-only, and let non-technical staff coauthor PRs.
Original post ↗In OpenAI's own launch example, a Dot watches feedback for recurring requests, scopes small fixes, builds and tests them, and returns PRs with demo videos.
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 professor had Claude Code summarize course-evaluation PDFs, filed themes as GitHub issues, and used agents to revise his security course and two others.
Original post ↗Lumos used Devin for routine tasks like MUI-to-Tailwind conversion, which went well, and its unit-test feedback loop reduced rewrites.
Original post ↗Codex read Slack feedback, edited and re-rendered a video, then used Computer Use to click Add file and post it in Slack.
Original post ↗Author built a proof-of-concept app using ChatGPT prompt templates to grade papers, generate lesson plans, and give feedback.
Original post ↗A developer used ChatGPT Agent mode to extract revenue growth, free cash flow and net cash from 10-Q filings with source URLs, feeding a multi-agent valuation and sentiment workflow.
Original post ↗A professor had an agent regrade TA-graded assignments, verify answers with Claude, and revise grades and feedback in Brightspace, catching missed issues.
Original post ↗Lindy reviewed Slack activity across sales, support, inventory and reviews for a clothing business and returned a report on demand, support issues, low stock and feedback.
Original post ↗A user built Kogoto Quest, which turns family reminders into quests, with Replit Agent and submitted it for App Store review.
Original post ↗The poster built an agent that compares real delivered prices, tests every coupon it finds, reads owner feedback and goes through checkout without ordering.
Original post ↗Dharmesh's Company Research agent pulls firmographics, executives, traffic, search marketing data and G2 reviews into a structured report on any company.
Original post ↗Nate Combs used ChatGPT for research and a prompt, and Claude Code implemented the expansion, iterating on his playtest feedback.
Original post ↗A self-hosted n8n workflow extracts accounting data from uploaded receipts and invoices with OpenAI, then after user review files the originals and appends data to a yearly sheet.
Original post ↗The author had Devin build and deploy an app, finding it quick on PR feedback but weak on legacy monorepos and costly on broad requests.
Original post ↗A ChatGPT workflow finds bills in statements, looks up competitor prices, emails providers via Gmail asking them to match, and summarizes outcomes, with user review before sending.
Original post ↗The agent collects feedback from reviews, surveys and support tickets, tags each item by theme and sentiment and produces a weekly summary with counts and representative quotes. Product teams use it to spot recurring problems early.
Across the 31 published workflows on this page, the most used tools are ChatGPT (4), Claude (4) and Claude Code (3). 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.