---
title: "AI agents for product: 11 real examples"
canonical: "https://agenticfeats.com/roles/product/"
receipts: 11
shown: 5
page: 1
pages: 1
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# AI agents for product: 11 real examples

Agentic Feats lists 11 sourced examples of AI agents in product work; 5 link the artifact; most common agent: Devin (3). Newest first.

## Feats, newest first

- [Docs maintenance with Devin](https://agenticfeats.com/c/docs-maintenance-with-devin.md) (Devin; Numbers; 2026-10-13): Devin handled a docs team's recurring work: weekly changelog setup, GitHub issue and PR fixes, a multi-file term rename, and code explanations. Result: Devin found nearly every old term in a docs-wide rename, but the edits still needed 20+ manual commits.
- [Tattoo booking app prototype](https://agenticfeats.com/c/tattoo-booking-app-prototype-replit-agent.md) (Replit Agent; Claim; 2026-10-13): Replit Agent built a booking and payment app for tattoo artists from prompts, covering calendar, Google OAuth, Stripe, and Postmark emails, over one weekend. Result: The author, a non-developer for a decade, built a working end-to-end booking app with artist dashboards in 48 hours. It is not yet launched.
- [Cursor as everyday work agent](https://agenticfeats.com/c/cursor-as-everyday-work-agent.md) (Claude Code, Cursor; Shown; 2026-10-13): The author used Cursor for two months to rename invoice files, send invoice emails, build KPI simulations, and make slides. Result: Twelve demoed workflows, including a KPI model turned into a web app and no-code Jupyter analysis; no time or money figures are given.
- [App review analysis for PMs](https://agenticfeats.com/c/app-review-analysis-for-pms-cursor.md) (Cursor; Shown; 2026-10-13): Cursor analyzed a CSV of a couple thousand Walmart App Store reviews and returned takeaways with ASCII diagrams. Result: In 30 seconds it returned top complaints ranked by frequency, a severity versus frequency matrix, and a user journey map showing where frustration peaks.
- [Devin building Devin](https://agenticfeats.com/c/devin-building-devin.md) (Devin; Shown; 2026-10-13): Cognition's team uses Devin across Slack, Linear, web, CLI and API to write, review, triage and debug code in its own codebase. Result: Cognition merged 659 Devin-authored PRs into its own codebase in one week, up from 154 in its best week of 2025.
- [Weekly competitive briefing skill](https://agenticfeats.com/c/weekly-competitive-briefing-skill-hermes-agent.md) (Hermes Agent; Numbers; 2026-10-13): Hermes Agent ran the same Monday competitive monitoring prompt for six weeks and rewrote its own underlying skill four times. Result: The same task fell from 20 minutes in week one to 12 in week four and 8 by week six, with better competitor patterns surfaced.
- [Telegram text RPG shipped](https://agenticfeats.com/c/telegram-text-rpg-shipped-claude-code.md) (Claude Code; Shown; 2026-10-13): Claude Code wrote every line of Zapaleni, a Slavic folklore text RPG in a Telegram bot, for a project manager who does not code. Result: A prototype took two evenings and a live game six weeks; after seven weeks it had 164 players, 109 active in one day.
- [Six bots run a mobile game](https://agenticfeats.com/c/six-bots-run-a-mobile-game-grok-bot.md) (Grok Bot; Numbers; 2026-10-13): The author used six Grok Bot agents with separate roles to run analytics, ads, engineering, deploys, and bug fixes for Rank'em. Result: Rank'em passed 1000 downloads in a week. The author credits the bots with a 15x lower cost per install and 4x better D7 retention.
- [Personal CRM from X follows](https://agenticfeats.com/c/personal-crm-from-x-follows-grok-bot.md) (Grok Bot; Numbers; 2026-10-13): Grok Bot turned the author's roughly 800 to 900 followed X accounts into a private personal CRM in Notion, using only public profile information. Result: The Notion board holds profile images, descriptions, and links for each followed account; the author built it on a phone in 10 to 15 minutes.
- [Devin as feedback triage bot](https://agenticfeats.com/c/devin-as-feedback-triage-bot.md) (Devin; Claim; 2026-10-13): Devin triaged every app feedback and feature request in a dedicated Slack channel, with read-only access for debugging, and let non-technical staff coauthor PRs. Result: Users resolved issues by talking to Devin, engineers only merged when needed, and Devin Review caught bugs.
- [Claude in Chrome PM review](https://agenticfeats.com/c/claude-in-chrome-pm-review.md) (Claude in Chrome; Shown; 2026-10-13): Claude in Chrome was tested on help center docs, Google Ads campaign setup, and a Looker dashboard by a non-engineer product manager. Result: Docs rated 2 of 5, Google Ads setup 4 of 5, Looker dashboard 5 of 5; best docs run took about 2 hours.