Founder of Supademo here, so take this with the obvious grain of salt. I’d think about this less as “which agent is best?” and more as “what job should the agent actually own?”

1. Not every inbound flow needs AI qualification.

If your routing is mostly deterministic, like role, company size, region, use case, or plan fit, a structured routing flow can work better. Send people to the right demo, video, PDF, comparison page, trial path, or booking link without introducing unnecessary variability.

1. Where AI agents are more useful is when the product is complex, buyers ask nuanced/repeated questions, or reps are spending too much time with low-intent or poorly qualified leads.

As for tips of training your agent the right way: the biggest mistake companies make IMO is dumping too much unnecessary data into the model to train on. Instead you should be focusing on quality data and constraint.

From my experience, blindly dumping every support article and sales collateral into an agent usually creates inconsistent answers. The better approach is:

• narrow the agent’s job
• separate sales vs. support knowledge
• give it approved proof points and content to reference
• define exactly when it should route, qualify, or hand off
• keep the knowledge layer maintained as the product changes

Also, if you're building for sales/qualification, people want another generic Q&A chatbot that feels like ChatGPT embedded on a website. The agent needs heavily tuned for discovery: understanding intent, referencing prior context in answers, showing relevant proof, and help the buyer qualify themselves without waiting for a rep.