[lightyrs]

Sample applications are rarely difficult to make. I built a bot as an experiment for my team (https://m.me/PigeonCorps) and we've run into a lot of issues that fall outside of intent classification and response. The most complex issues related to non-trivial chatbots (or atypical chatbots) in my experience have been:

  - session management
  - horizontal scaling
  - dealing with platform changes
  - dealing with platform downtime/bugs
  - hierarchical data presentation
  - matching intents within hierarchical/nested flows

I agree, however, that most chatbots we see are not incredibly complicated, however, I think the typical points that are emphasized in these types of articles (intent classification) are not the hard parts.

[rahulagwl]

Agree. But most of the functional chatbots we see on websites are using intent classification only.

In my view, this is mainly because we haven't yet reached the stage where we can create intelligent chatbots. So we make do with rule-based. Sort of Chat based IVR services.

We might be able to do better in the future that's the plan.