- And with that, you've done it.
Congratulations on building a complete intelligent AI agent
from the ground up, let's take a moment to step back
and appreciate just what you've accomplished.
This is more than just a script.
You've built a system, one that embodies
the core principles of modern AI agents.
Your agent can do many things.
It can understand a goal, it knows what the user wants
and helps them find a place to hike.
It can use tools,
it interacts with the real world, fetching live data
for location, weather and details about national parks.
It can reason and reflect.
It doesn't just process data, it thinks about it.
It decides if the weather is suitable
and it reflects on the number of parks it finds,
constantly refining its own plan
to provide a better, more focused recommendation,
and it can also remember, it maintains a conversation,
allowing for a natural back and forth dialogue
with lots of follow up questions.
You've moved beyond simple scripting
and into the world of Agentic AI.
The skills that you learned here, tool use, reflection
and memory, are the fundamental building blocks
for creating much more complex and powerful AI assistants.
This course is just the beginning of your journey.
The agent that you've built is a powerful foundation,
but where do you take it from here?
Well, I think the possibilities are endless.
You could give it more tools,
and this is a really exciting next step.
Maybe your agent could check
for park alerts or road closures.
Maybe it could find the best route using a mapping API,
or it could look up recent trail reviews
from a hiking website.
Every new tool that you add makes your agent
exponentially more capable,
or you could build a better brain.
Our agent's planning is still guided by our Python code.
You could explore advanced agent architectures
like ReAct, which is reasoning and acting,
where you allow the language model itself
to decide which tool to use next based on the user's goals.
Of course, you can deploy it to the world,
and here's where you free your agent from the command line.
You could deploy it as a chat bot on a website using Flask
or Fast API, or you could integrate it
into a messaging service like Discord or Slack.
What about giving it a voice and eyes,
if you connected your agent to a voice to text
or text to speech service,
you could create a true voice assistant
or you can give it a vision model so it can analyze pictures
of hiking trails to see what you would like.
The field of AI agents is one of the most exciting
and rapidly evolving areas in technology,
and you are now a part of it.
The best way to learn is to keep building.
Take the agent that you've created, pick an idea
that excites you and run with it.
Make it your own.
Thank you so much for joining me on this little adventure.
I can't wait to see what you build next, happy coding.