FOR SUPPORT
Create Help Articles from Screen Recordings
An agent-readable screen recording turns one support walkthrough into a published help article. Do the fix on screen once — each click becomes a numbered step with a frame cropped to the click target, and your narration becomes the instructions.
The whole loop in under a minute. Tap for sound.
One recorder, every workflow
Clipy is for every use case
Same loop, whatever your team does: record once, share one link, and an AI agent reads it and acts. Switch roles to see it play out.
Agent-ready fast
Chunks stream to the server while you record, so the moment you stop the summary, key-moment frames, and transcript are already building — a short clip is agent-ready in seconds.
Our own pipeline
On-device transcription and key-moment fusion we built ourselves — not a third-party API bolted on — tuned for speed and for the exact context an agent needs to act.
Fastest agent loop
The fastest agent-ready screen recorder: one link a teammate watches and an AI agent reads. No ticket, no repro write-up, no re-explaining.
You answer the same three clicks, over and over, from memory
Support runs on repetition. The same how-do-I question — how do I get a refund, how do I export — retyped from memory by whoever grabs the ticket, at slightly different quality each time, with no screenshots because capturing and cropping them is ten minutes you don’t have. The help center stays thin, so the question keeps coming. And when a ticket is a real bug, you paste that same vague paragraph to engineering, who can’t reproduce it and bounce it back asking which button, on which page, in which order.
How it works
- 1
Do the fix on camera
Walk the flow once, narrating as you go — “go to my orders… hit request refund… confirm.”
- 2
The agent drafts the article
Every click becomes a numbered step with its frame; the transcript becomes the copy.
- 3
Publish and reuse
The next customer gets the article, not a call — and the recording stays as the source of truth when the UI changes.
One walkthrough becomes a numbered article, one screenshot per click
Do the flow once on screen and narrate it. An agent-readable screen recording turns that single pass into structured context: an AI summary, key moments — a timestamped frame for each thing you clicked or pointed at — and the full transcript. Your agent reads that document and writes the article.
The screenshots aren’t a separate job. Each key moment is the extracted frame at the moment of the click, and on Mac-app and Chrome-extension recordings the real click coordinates come with it, so the agent crops every step’s image tight around the button you pressed. Your narration becomes the step copy. What comes back is a numbered “How to X” draft with one cropped screenshot per click, in whatever format you asked for.
A frame per click
Each step’s image is the exact frame at the click — not a mid-motion blur, not a screenshot you staged afterward to match the doc.
Cropped to the target
Click coordinates let the agent crop each image around the control that was pressed, so a step points at one button instead of a full-screen dump.
Your words are the copy
The timestamped transcript maps your narration to each step, so “now hit Confirm” lands as the instruction under the Confirm screenshot.
Write the article once, stop answering the question forever
The expensive part of support isn’t the first answer — it’s the hundredth. The same refund question, the same export question, retyped by a different agent, costs a fresh reply every time it lands.
Publish the drafted article to your help center and the next customer gets the article instead of opening a ticket. The recording stays as the source of truth behind it: when the UI moves, you re-record the flow in a minute and regenerate the steps, instead of hunting through a doc for the stale screenshot. Deflection compounds — every published walkthrough is a question the queue stops seeing.
A draft, not a blank page
The agent hands you a complete numbered draft to review and publish, so building the knowledge base stops competing with clearing the queue.
Re-record beats re-editing
When the product changes, one fresh pass regenerates every step and image — no hunting through a doc to patch one screenshot at a time.
Deflection you can point at
Each article you publish is one repeated question the next customer answers themselves, before it ever reaches an agent.
The same link is an escalation engineering can reproduce
Some tickets aren’t a how-do-I — they’re a bug. The customer says checkout is broken, and “checkout is broken” is not something engineering can act on.
Reproduce the issue on screen once and forward the same recording. Engineering doesn’t read a paragraph — their agent reads the ordered click sequence, the state on screen at each step, and the exact frame where it failed. That is a repro, not a description, so the ticket comes back with a fix instead of “which button, on which page, in which order.”
A click sequence, not prose
The recording carries the ordered steps the problem actually took — the thing a written summary always loses in translation.
State at the moment it broke
The frame at the failure is in the document, so engineering sees the error on screen, not your paraphrase of it.
One artifact, both audiences
The link a customer follows to watch is the same link engineering’s agent reads to reproduce — nothing gets re-captured for the handoff.
From a refund ticket to a published article, in one pass
A customer emails asking how to get a refund on Ticketly. Instead of typing the steps for the fourth time this week, the agent records the flow once — My Orders, then Request Refund, then Confirm — narrating each click. Chunks stream while recording, so within seconds of hitting stop the clip is agent-ready and resolves to its document. The support agent pastes the link into Claude Code with “draft a help-center article from this,” and gets back a three-step “How to request a refund” draft: step one cropped to the My Orders link, step two to the Request Refund button, step three to Confirm, each with the narration as its instruction. They publish it to the help center as a draft, and the next refund question resolves itself.
Screenshots without a screenshot session
Each step’s image is the frame at the click, cropped to the button pressed — no capture tool, no staging, no cropping between the recording and a finished article.
One recording, two jobs
The same link deflects easy tickets as a self-serve article and hands engineering a reproducible escalation for the hard ones — you record the flow, not the write-up, once.
Agent-ready in seconds
Chunks stream while you record, so a short walkthrough is readable the moment you stop. It’s the fastest agent-ready screen recorder — no render step before the draft comes back.
A knowledge base that doesn’t rot
When a screen changes, re-record the flow in a minute and regenerate every step and image, so the article stays current without anyone hand-patching stale screenshots.
The support queue, before and after
| The old way | With an agent-readable recording | |
|---|---|---|
| Answering a how-do-I | Retype the same three steps from memory, with no screenshots. | Record the flow once; the agent drafts a numbered article with one cropped screenshot per click. |
| Building the help center | A blank page you never reach between tickets. | A complete draft to review and publish, generated from the walkthrough you already did. |
| When the UI changes | Hunt through the doc and re-shoot every stale screenshot. | Re-record the flow in a minute; the steps and images regenerate. |
| Escalating a real bug | “Checkout is broken” — engineering bounces it back asking which button. | Forward the recording; their agent reads the click sequence, state, and failure frame and reproduces it. |
| What the customer sees | A screen-share you have to schedule, or a clip they must sign in to watch. | One share link that opens in any browser, no account needed. |
Common questions
How do I create help articles from screen recordings?
Record the flow once and narrate it. An agent-readable screen recording resolves to a document — an AI summary, key moments with frames, and the transcript. Paste the link to your agent and ask for a help-center draft; it returns numbered steps with a cropped screenshot per click, ready to publish.
What’s the best screen recorder for customer support?
One built to be read by an agent, not only watched by a person. Clipy is an agent-readable screen recorder: the same recording becomes a self-serve article for customers and a reproducible escalation for engineering. Recording, links, transcripts, and drafts are all free.
Can a screen recording actually reduce support tickets?
Yes — that’s deflection. Turn each repeated question into a published walkthrough once, and the next customer self-serves instead of opening a ticket. Because the recording is the source of truth, updating the article later is a one-minute re-record, not a screenshot edit.
How do I send engineering a bug they can actually reproduce?
Reproduce it on screen once and forward the recording link. Engineering’s agent reads the ordered click sequence, the state on screen at each step, and the frame where it failed — a repro, not a paragraph. The ticket comes back with a fix instead of “which button, which page, which order.”
Does it work with Zendesk, Intercom, or a docs repo?
The agent does the writing, so it targets whatever you ask for: markdown for a docs repo, HTML for a CMS, or a draft you paste into your help desk. Clipy supplies the structured context — summary, steps, frames, transcript — and the agent renders it into your format.
How fast is a recording ready to turn into an article?
Chunks stream to the server while you record, so a short walkthrough is agent-ready within seconds of hitting stop — best case under about ten seconds for a short clip. You paste the link and the draft comes back; there’s no render step to wait through.
Do I have to write the steps myself?
No — your narration is the copy. The transcript maps what you said to each click, so “now hit Confirm” becomes the instruction under the Confirm screenshot. You review and edit a finished draft rather than writing it from scratch.
Which agents can draft the article?
Any agent that can read a Clipy link — Claude Code, Cursor, or Codex through the Clipy skill, or any MCP client via @clipy/mcp. Public links resolve to a plain markdown document plus frames; private recordings use the MCP server with an API key.