Lesson 9: Conclusion

Picoflow provides perhaps the simplest way to create very complex bot-chat flows that require complex context engineering and user interaction.

Recall:

Info

Create a flow and its steps , set the step attributes such as memory, LLM usage.
Implement each step, decides what tools to provide and how to be handled.
Within tool handler, write your logic and interact with backend
Decide which next step to transition to, what message to surface to a user, what data to pass to next step.
Deploy your one endpoint NodeJS docker container for consumption.

IMPORTANT

We have not guard-railing the LLM so that it cannot be coerced by a user's response.
The topic of debugging a chatbot especially in production is critical. Picoflow provides facilities to ease debugging.
Picoflow also provides an ability to re-play a conservation sometimes only surfaces in production.
Picoflow can also incorporate other non-LLM steps, mimicking a traditional business flow step.
All these will be advanced features to be published and discussed in the future.

Further actions:

Please contact us if you are interested in learning more. We will continue to publish new tutorials to demonstrate new ways to doing agentic flows.

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