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We taught software to heal itself.
Bug report in → merged pull request out. No human in between until code review.
It took 5 specialist agents working as one team:
• Kai (support) • Kai Resolve (investigation) • Kai Code (engineering) • Kai PM (product) • Custom Agents (everything else)
Already running at 4,500+ software teams, from indie founders to Microsoft, Squarespace & UNICEF.
Everything new 👇
Feature requests used to wait for you.
Kai PM reads them first.
Scores each one 0–100 against your real goals (votes, revenue behind voters, fit, effort).
Accepts the obvious ones onto your public roadmap.
Declines the out-of-scope ones — and replies to the customer in their language.
You still decide what gets built.
Kai just stops the pile from rotting in a spreadsheet.
Pro and above. Feedback portal → Kai PM → four-step setup. Now Available in gleap.io
Customer support is not one inbox anymore.
WhatsApp for the deal that closed last night.
Instagram DMs for the brand complaint.
Messenger for the "are you open?" ping.
Telegram for the power user who hates email.
Most teams run that as five tabs and five half-answers.
One shared inbox with context that follows the person beats five apps that only know their own thread.
"It's broken" is not a bug report.
What actually helps:
• a screenshot of the exact screen or video
• the console error next to it
• a session replay of the clicks that got there
Same ticket. Totally different triage time.
If your tool only captures a sentence, you're buying a form. Not evidence.
Your stack for "talk to customers" is usually three products:
1. a helpdesk for tickets
2. a bug tool for screenshots
3. a feedback tool for feature asks
None of them share context.
None of them update the person who reported it.
That's not a stack. That's three inboxes pretending to be a product org.
Your best support month shouldn’t be your most expensive one.
Per-resolution AI fees climb every time you clear more tickets well.
Per-seat fees climb every time you hire someone to finish the hard ones.
Weird incentive for a team trying to get better at support.
What people actually want:
- AI on the repetitive questions
- live chat when a human is needed
- bug reports that arrive with evidence, not “it’s broken”
If the invoice grows when support improves, the model is upside down.
Most of the Gleap team is in New York this month.
Including our founder and CEO.
We're working from the city, taking meetings, and happy to show the product in person.
If you're in NYC and want to grab time, coffee, a walkthrough, whatever is useful — reply or DM us
Your website is still where most questions show up. Nights, weekends, and the tab they opened instead of emailing you.
If the only option is “contact us” and a form, a lot of those people just leave.
A simple widget that answers FAQs, takes a request, or qualifies a lead covers a surprising amount of that traffic. When it can't, it should open a live conversation, not a ticket that sits until Monday.
That's table stakes for how companies talk to customers now. The rest of the product stack can wait.
If your site still goes quiet after 6pm, that's the gap.
Not every team needs a full "AI that ships PRs" setup on day one.
A lot of businesses just need:
- a website chatbot that handles FAQs and simple requests
- a sales bot that qualifies leads
- live chat when the bot stalls
Lightweight to set up. Humans still take over when it matters.
That's a valid starting line for many out there; the deeper product loop can come later.
A bug report should not die in a ticket.
Flow that works:
1. User reports it in-app (screenshot, console, replay)
2. It gets investigated
3. Confirmed bugs become a pull request
4. Reporter gets told when it ships
Support stops being a graveyard for "we'll look into it."
It becomes a pipeline into product and eng.
Intercom + Fin pricing is a tax on growing support volume.
Per-resolution AI fees punish you for fixing more tickets. Per-seat fees punish you for adding the people who answer them.
What teams actually want:
- AI that answers the boring stuff
- live chat when a human is needed
- bug reports that arrive with evidence, not "it's broken"
If your stack bills you for doing more support, the model is upside down.
gleap retweeted
PSA to our Agency Partners: We’re not saying you should bill for 40 hours of migration work when it only takes you 40 seconds… but we’re not saying you can't either. 🤐
Usually, moving a company off Intercom takes 3 weeks, 4 developers, and a $10,000 "implementation fee."
Now it takes:
One command.
An AI Agent (like Claude Code).
30 seconds of "hard work."
If you want to keep charging your clients that $10k fee and just run this command while you go to the beach your secret is safe with us. 🤫🤑
npx skills add GleapSDK/agent-skills
What is the ROI of customer feedback systems?
youtube.com/shorts/sbgUoV2Go…
Your engineering team loses 60+ hours per month to one problem:
Bug reports that say "it's broken" and nothing else.
Here's the math on why this is killing your velocity:
When every report arrives with:
→ Annotated screenshot
→ Full session replay
→ Console + network logs
→ Device, browser, OS auto-detected
Engineers start fixing on first touch.
No back-and-forth. No riddles.
This is what we built at Gleap
One click from the user. Complete report for the engineer.
If your team is drowning in "it doesn't work" tickets, try it: gleap.io