Client driven

Your clients write the backlog. Your AI agents ship it.

Every feature your AI agents work on used to go through you. Client says something, you rewrite it as a ticket, you reformulate the intent, you chase missing context. The Remote Backlog removes that tax. Clients type directly into the same backlog your Claude, Codex or Gemini agents execute against.

Ask any solo developer or agency team how much of their week goes into just triaging inbound feedback and the answer is usually 'too much'. A client messages on WhatsApp. A user emails. A stakeholder leaves a voice note. A QA tester pastes a screenshot in Slack. Then you, the human, read all of that, interpret it, clean it up, turn it into something a Linear ticket can hold, and finally enter it somewhere your AI agents can consume.

That cleanup layer is valuable when the interpretation matters, but on many tickets it is pure friction. The client already knew what they wanted. The user already knew the exact steps to reproduce. The tester already knew which page crashed. You rewrote it because that is what ticket systems demand. Your reward: the same information, in a slightly cleaner form, with a two-hour delay.

AgentsRoom Remote Backlog kills that rewrite step for the tickets where it doesn't add value. The client types into the public form. Their words land in the backlog. Their context — email, URL, selected page text, user-agent — is auto-captured. You open AgentsRoom, see a badge on the Remote Feedback filter, drag the ticket to In Progress, and a Claude Code, Codex CLI, OpenCode, Gemini CLI or Aider agent starts working with the client's actual words as its prompt.

This is different from classic feedback tools like Canny, Featurebase or Fider in one important way: those tools give you a nice inbox, but there is still a gap between the inbox and the execution. You still have to copy the ticket into Linear, Jira or GitHub Issues, then someone has to pick it up, then an engineer starts coding. AgentsRoom Remote Backlog is the inbox and the execution engine. The gap is a drag-and-drop gesture.

This matters most when you run lots of small projects. Each extra layer of triage is cost. Each tool in the pipeline is a context switch. With AgentsRoom, a bug reported at 9pm by a client in Lyon can be fixed by a Claude agent by 9:10pm, reviewed by you at 9:15pm, marked as done at 9:16pm, and your client gets a branded email at 9:16pm saying 'your bug is fixed'. In ten minutes, with the client's original wording preserved end-to-end.

The Chrome extension takes this one more step. Your clients install the extension, browse your app, click the toolbar button on any page that breaks, and a ticket lands in your backlog with the URL, the selected text and a screenshot-adjacent context already attached. They never even have to open the public backlog page. The friction to report a bug drops to literally one click.

What the flow looks like before and after

Without AgentsRoom Remote Backlog

Client reports the bug on WhatsApp
You screenshot the message and open Linear
You reformulate the ticket 'properly' for your team
You assign, prioritize, move it through columns manually
You tell the client 'we are on it', copy-paste the status update from Linear

With AgentsRoom Remote Backlog

Client types the bug into the public backlog page or Chrome extension
You see the ticket in AgentsRoom, drag it to In Progress, an AI agent starts coding
Agent finishes, you review, mark as done, client gets a branded email automatically

Three ways clients can contribute

Remote Backlog gives you three parallel ingest surfaces, all wired into the same backlog and your AI agents:

The public backlog page at {slug}.backlog.agentsroom.dev with ticket form, upvotes, comments, and optional roadmap view
The embeddable 3 KB widget — drop a script tag on your landing page and get a floating Feedback button
The AgentsRoom Chrome extension — one-click capture from any page with URL, selected text and user context
And of course the AgentsRoom desktop app itself, for internal team members working side-by-side with AI agents

See the full Remote Backlog feature →