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.
Congrats on the launch! The 'trained on your docs' angle is where this gets interesting, the quality of the underlying content structure determines almost everything about how well the agent performs. Have you found that doc quality is the #1 variable in how fast customers see ROI?
Congrats on the launch! 🎉 Reducing repetitive support volume while keeping a seamless human handoff is the absolute sweet spot for AI customer service. I love that it actively cites sources to keep answers trustworthy and grounded.
Quick question for the team: When a conversation requires a human handoff, how does Owlish notify the support team? Does it integrate directly into existing helpdesks (like Zendesk/Intercom) or channel notifications like Slack?
The 'Direct Response' pinning feature is the most interesting design choice here. It lets businesses own the exact wording on high-stakes questions without losing the AI's ability to handle everything else. Curious what happens when a pinned response conflicts with a newer doc update. Does the pin always win?
super!! is it possible to use the knowledge base built by the platform to be used in Vapi?
The source citation and human handoff parts are important here. AI support is useful, but customers need to know where an answer came from and when a real person should step in.
Interesting positioning.
Have you noticed businesses being more concerned about hallucinations or about losing their brand voice/personality in AI support interactions?
This looks soli. Citing the sources used for the answers is a huge trust builder for customers who might otherwise be skeptical of AI chat replies. How fast does Owlish update its answers if a business modifies an existing FAQ or policy document on their site?
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.
Owlish was featured in Customer Communication (12.7k followers), SaaS (42.1k followers) and Artificial Intelligence (469k followers) on Product Hunt. Together, these topics include over 142.5k products, making this a competitive space to launch in.
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.
Want to see how Owlish stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Mithun Rathinasamy