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
- 11
- Shown
- 545%
- Agents
- 7
- Updated
- Oct 13
Agents used here7
Industries here3
Devin found nearly every old term in a docs-wide rename, but the edits still needed 20+ manual commits.
Docs maintenance with Devin
Devin handled a docs team's recurring work: weekly changelog setup, GitHub issue and PR fixes, a multi-file term rename, and code explanations.
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.
Tattoo booking app prototype
Replit Agent built a booking and payment app for tattoo artists from prompts, covering calendar, Google OAuth, Stripe, and Postmark emails, over one weekend.
Twelve demoed workflows, including a KPI model turned into a web app and no-code Jupyter analysis; no time or money figures are given.
Cursor as everyday work agent
The author used Cursor for two months to rename invoice files, send invoice emails, build KPI simulations, and make slides.
In 30 seconds it returned top complaints ranked by frequency, a severity versus frequency matrix, and a user journey map showing where frustration peaks.
App review analysis for PMs
Cursor analyzed a CSV of a couple thousand Walmart App Store reviews and returned takeaways with ASCII diagrams.
Cognition merged 659 Devin-authored PRs into its own codebase in one week, up from 154 in its best week of 2025.
Devin building Devin
Cognition's team uses Devin across Slack, Linear, web, CLI and API to write, review, triage and debug code in its own codebase.
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.
Weekly competitive briefing skill
Hermes Agent ran the same Monday competitive monitoring prompt for six weeks and rewrote its own underlying skill four times.
A prototype took two evenings and a live game six weeks; after seven weeks it had 164 players, 109 active in one day.
Telegram text RPG shipped
Claude Code wrote every line of Zapaleni, a Slavic folklore text RPG in a Telegram bot, for a project manager who does not code.
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.
Six bots run a mobile game
The author used six Grok Bot agents with separate roles to run analytics, ads, engineering, deploys, and bug fixes for Rank'em.
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.
Personal CRM from X follows
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.
Users resolved issues by talking to Devin, engineers only merged when needed, and Devin Review caught bugs.
Devin as feedback triage bot
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.
Docs rated 2 of 5, Google Ads setup 4 of 5, Looker dashboard 5 of 5; best docs run took about 2 hours.
Claude in Chrome PM review
Claude in Chrome was tested on help center docs, Google Ads campaign setup, and a Looker dashboard by a non-engineer product manager.
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Proof marks:Shown artifact linked·Numbers a specific number stated·Claim claim only