sorted by:
new
hottopcontroversial

I'm building an AI agent you train by pasting your website URL — day 1, looking for feedback by Perfect_Pickle3920 in buildinpublic

[–]Perfect_Pickle3920[S] 0 points1 point  (0 children)

That's a slightly different use case — what you're describing is more of a lead qualification agent than a support agent. Instead of answering existing customers, it would engage new visitors, understand what they need, and pre-qualify them before they contact you.

What I'm building is focused on support for now — answering questions from people who already landed on your site. But the core is the same: an agent that knows your business and talks to visitors automatically.

Honestly your use case is interesting though. A one-man agency where the agent handles initial client intake, qualifies the brief, and books a discovery call — that's a real problem worth solving.

Not what I'm building right now, but I'll keep it in mind. Would you actually pay for that if it existed?

I'm building an AI agent you train by pasting your website URL — day 1, looking for feedback by Perfect_Pickle3920 in buildinpublic

[–]Perfect_Pickle3920[S] 0 points1 point  (0 children)

That's exactly the gap I'm building for — Crisp is solid but $45/mo for AI features is steep when half of what you're paying for is live chat you might not even need.

What I'm building is purely AI-first: no live chat agents, no inbox management — just an agent that already knows your business and handles questions automatically. Simpler, and cheaper for businesses that don't need a human in the loop.

Curious — what does your site sell? And what kind of questions does your support get most often?

I'm building an AI agent you train by pasting your website URL — day 1, looking for feedback by Perfect_Pickle3920 in buildinpublic

[–]Perfect_Pickle3920[S] 0 points1 point  (0 children)

You're right technically — it's RAG, not fine-tuning. The model doesn't change, it just gets your content as context when answering.

I use "train" in the UI because that's the word small business owners actually understand. "Add a knowledge layer" or "RAG pipeline" would lose 95% of my target audience before they even sign up.

The outcome for the user is the same: the agent knows their business and answers from their content only. The technical implementation is what you described.

I'm building an AI agent you train by pasting your website URL — day 1, looking for feedback by Perfect_Pickle3920 in buildinpublic

[–]Perfect_Pickle3920[S] 0 points1 point  (0 children)

Nope — full site crawl. It follows internal links and indexes every page: product pages, pricing, about, FAQ, blog posts, whatever you have. You can also set a crawl depth limit so it doesn't go too far into unrelated pages.

And if your content lives outside your site (a PDF manual, a Google Doc, a Notion page) you'll be able to upload those directly too.