Building an AI assistant should not require days of setup, complex orchestration, or custom backend logic.
In this short demo, I build a basic AI assistant with Hexabot in just 30 seconds.
The workflow is intentionally simple:
- AI Agent — powered by Amazon Bedrock and GPT-OSS as the LLM model
- Send Text Message — returns the assistant’s response to the user
That’s it.
The goal of this demo is not to show a complex production workflow, but to highlight how quickly you can go from an empty canvas to a working conversational AI assistant using Hexabot.
With Hexabot, AI workflows are visual, modular, and easy to extend. You can start small, then add tools, memory, integrations, human handoff, conditions, loops, and more advanced agentic behavior as your use case grows.
Sometimes, the best way to understand a platform is to see how fast the first working version comes together.
