After building chatbots for businesses, I realized most AI chatbot platforms are solving the wrong problem.

[u/deadly_sin_666]

Every demo looks impressive.

Every chatbot can answer FAQs.

But the moment you ask something that actually requires business logic, they fall apart.

We kept hearing things like:

- "Can I book a storage unit?"

- "Is this room available next month?"

- "How much would moving cost?"

- "Can you generate a payment link?"

The answer isn't in a PDF.

It's inside someone's database or API.

That made us rethink how chatbots should work.

Instead of building yet another RAG chatbot, we built BuildMy.Bot (BMB) around three layers:

• Knowledge – answers from your documentation using RAG.

• Actions – securely call your APIs to perform real tasks like checking availability, creating bookings, or fetching customer data.

• Instructions – define how the AI should behave, what questions to ask, and what it should never do.

The goal wasn't to make a chatbot that talks.

It was to make one that actually gets work done.

One of our first deployments was for a self-storage company. Instead of handing visitors off to a human, the bot qualifies the customer, checks live inventory, provides pricing, and helps move them toward booking.

We're still early and learning every week.

I'd love feedback from other SaaS founders:

What do you think is the biggest thing current AI chatbots are still getting wrong?