In the previous Botsify system, you had to train your chatbot by:
- Creating Stories (predefined conversation flows).
- Adding Story Suggestions (sample phrases/intents) to teach the bot how to recognize user inputs.
This was a manual intent training process.
What’s Changed Now?
With Agentic Botsify, you no longer need to:
- Write long lists of training phrases.
- Manually set up intent recognition.
- Manage separate “story” flows for every possible query.
👉 Why? Because your AI Agent is now powered by a Large Language Model (LLM).
That means your AI can:
- Understand user input in natural language without intent training.
- Adapt to variations in how users phrase their questions.
- Respond more intelligently based on context + memory.
How You Train Your AI Now
Instead of giving story suggestions or training phrases, you simply:
- Describe the behavior you want in plain English (or your preferred language) to create your first chatflow
- Let the AI generate the chatflow for you.
- Refine by giving direct instructions (e.g., “Change the greeting to…”, “Add a reply when someone says thanks”).
Example
Old System (Story + Intent Training):
- Create Story: Gym Pricing Inquiry
- Add training phrases: “How much is the gym?”, “What’s your fee?”, “Tell me about pricing.”
New System (Agentic AI):
Just say:
When users ask about pricing, show them my membership plans with monthly and yearly options.
The AI will automatically handle variations of the same question.
✅ Summary:
-
Story Suggestions = no longer needed.
-
LLM-powered Agentic AI = understands users naturally.
You just describe what you want, and your AI agent takes care of the rest.
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