Reduce support volume with AI agents trained on your docs
Owlish turns your website, FAQs, docs, and PDFs into an AI customer support agent that answers common questions, cites sources, uses approved replies, and hands off to a human when needed. It helps businesses reduce repetitive support volume, reply faster outside business hours, and give support teams the context they need to resolve harder conversations.
Hi Product Hunt, I’m Mithun, founder of Chevvi and maker of Owlish.
I built Owlish because many businesses already have the answers their customers need, but those answers are scattered across websites, FAQs, help docs, PDFs, policies, and internal notes.
Owlish turns that existing content into an AI customer support agent that can answer common questions, cite the sources it used, follow approved direct replies for repeat questions, and hand off to a human when the conversation needs judgment or care.
The goal is not to replace the support team. It is to reduce repetitive questions, reply faster outside business hours, and give humans better context when they do need to step in.
What you can try today:
- Build an agent from your website, docs, FAQs, or PDFs
- Customize the web chat widget
- Add approved direct replies for common questions
- Review conversations in the helpdesk
- Hand off to a human with conversation context
I’d love feedback on the onboarding flow, source setup, and which support workflows you’d expect an AI agent to handle first.
I’m also exploring Owlish Partners for consultants, agencies, and service providers who want to help businesses set up AI support agents.
About Owlish on Product Hunt
“Reduce support volume with AI agents trained on your docs”
Owlish launched on Product Hunt on May 20th, 2026 and earned 101 upvotes and 28 comments, placing #11 on the daily leaderboard. Owlish turns your website, FAQs, docs, and PDFs into an AI customer support agent that answers common questions, cites sources, uses approved replies, and hands off to a human when needed. It helps businesses reduce repetitive support volume, reply faster outside business hours, and give support teams the context they need to resolve harder conversations.
On the analytics side, Owlish competes within Customer Communication, SaaS and Artificial Intelligence — topics that collectively have 523.8k followers on Product Hunt. The dashboard above tracks how Owlish performed against the three products that launched closest to it on the same day.
Who hunted Owlish?
Owlish was hunted by Mithun Rathinasamy. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Owlish including community comment highlights and product details, visit the product overview.
Mithun Rathinasamy