Who this is for
Support reps and CS who need to translate emotional, rambling customer reports into clear tickets engineering can act on.
The moment this saves you
A frustrated customer explains a bug in a confusing flood of detail, I summarize it badly into the ticket, and engineering bounces it back asking the same questions the customer already answered.
See it work
Messy spoken thought in. A clean, structured artifact out.
Logging a support issue from a customer call. The customer, they're on the enterprise plan, said their team can't log in since this morning, they're getting an error that says session expired immediately after logging in, so it loops. It's affecting their whole team, like 40 people, so it's high impact and they're pretty upset. It started after we did a deploy last night apparently. They're on Chrome mostly. They've tried clearing cookies, didn't help. This is blocking their whole team from working so it's urgent. The customer's name is the account at Vertex Solutions.
Support issue: Login loop, Vertex Solutions, June 5, 2026
- Severity: High (blocks ~40 users, whole team)
- Plan: Enterprise
- Issue: Users get "session expired" immediately after logging in, creating a login loop
- Started: This morning, reportedly after last night's deploy
- Environment: Chrome (mostly)
- Already tried: Clearing cookies (no effect)
- Customer sentiment: Upset, blocking all work, urgent
The workflow
Record a voice note
Hit the hotkey and talk, no formatting, no typing.
Tag it with this context
Contextli shapes your words into the structured output above.
Find it later
Everything's searchable and organised by context.
Pull it into Claude or ChatGPT
Bring your contexts straight into your AI tools with the Contextli MCP.
Your raw recording and transcription stay on your device, so you can always go back to the original.
The prompt behind this context
I'm going to relay a support issue a customer reported. Turn it into a clean ticket: a bold "Support issue: [short title], [account], [today's date]" heading, then labeled lines: Severity (infer from impact), Plan (if mentioned), Issue (the precise problem), Started (when, and any suspected cause), Environment (browser/device if given), Already tried (what the customer attempted), and Customer sentiment. Keep the customer's factual details exactly; strip the emotional noise into a single sentiment line. Don't invent repro steps or impact. Output only the ticket.
Make it your own. This is a starting point. Once it's in Contextli, tweak the instructions so the output comes out exactly how you like it.
Use this context
One tap adds it to your clipboard. Open Contextli and paste to add it.
Next, open Contextli, Contexts, Import, paste.
Make it your own. This is a starting point. Once it's in Contextli, tweak the instructions so the output comes out exactly how you like it.
Your raw recording and transcription stay on your device, so you can always go back to the original.
Related contexts
Product Bug Report
You just watched something break mid-demo. Don't lose the repro hunting for the tracker. Mutter what happened, what you clicked, what you expected, and walk away with a report engineering can actually act on.
Post-Call Debrief
You hang up and the next call's already ringing. Take twenty seconds to debrief out loud while it's fresh, the real objection, the budget hint, who actually decides, and it lands as a CRM note with next steps, not a vague one-liner.
Feature Request
A customer asks for something and it lands in your head as a vague 'they want X.' Say what they actually asked and the problem underneath. You get a brief with the real user problem, not just the feature, so the backlog reflects needs instead of demands.