Build your first NO CODE AI Agent in n8n (for beginners)

Key Takeaways

today I'm going to be walking through step by step how to build this AI agent in Ann no prior coding experience is needed you'll be able to get this agent up and running within 15 minutes so by the end of it you'll have a great idea of how to build Tools in NN and how to have agents call different Tools in order to be as effective as possible so wanted to start off this video with a quick demo of what this agent looks like and what it's going to do here's what it looks like it's okay if this doesn't make sense by the end it all will you can see the tools we have access to are Wikipedia and the get weather tool this is one that we create in nadn but let's just chat with this agent to see how it works so let's ask it what is the capital of Florida we get the capital of the US state of Florida is Tallahassee if you need any information about Tah has or anything else feel free to ask so let's say what is the weather like there oops misspelled there but it should be able to be fine with that the weather Tass is currently partly cloudy with scattered clouds temperatures warm 8.56 de F bit humid blah blah blah gentle breeze blowing it blah blah blah blah enjoy your day okay awesome so that's sort of how it works now let's go and get into actually building this thing so the resources needed here are going to be nadn the weather API and open AI API so this is just how we're going to build the workflows how we're going to access current weather information and then open AI is just how we're going to how the agent is going to think and get the information and formulate a response for us pretty much so the workflows we're going to be building today just two of them the first one is the tool the git current weather tool and then we'll be giving the agent access to that tool and so the second workflow is the AI agent yeah let's just hop right into this one so the first thing I would advise you do is set up the open weather account um just type in open weather map I think it might be but you're going to want to set this up and sign in or sign up as soon as possible because your API key takes 5 to 10 minutes to actually process as um valid so once you make your account you'll go right in here click on my API keys I'm going to disable this one after the video because I'm exposed now but your key will be right here or once you uh verify your email they'll email email you your key and they say within the next couple hours but I found it usually takes about 10 minutes so get that set up and then we can hop into actually building this thing so you don't have to be sitting around waiting okay so back to nadn okay so we're going to add a new workflow we're going to add the first step so you always need to add a first step when you build a workflow in NN there's a lot of things that can trigger a workflow you can trigger it manually it can be on a schedule you can chat with it we're going to do when called by another workflow we're doing this because when we talk to the agent and it thinks oh I need to get weather information it's going to call this tool in order to do that so that's how this one's going to execute now we're going to add a set field edit field set we're going to leave it as manual mapping and then we're going to add a field here so let's call this one city we can leave it as string and then the value for now will go Chicago just so that we can test if the weather API is working but in the end we're going to come back and fill this in as a variable because the city we're searching for is going to change based on what we asked the agent okay so we're good there now we need to add the weather app so open weather map we can either return current weather data or return data for the next 5 days so this could be useful if we wanted to build an agent that can do a bunch of stuff with weather data but let's just do current data for now um this is where you're going to put in your API key so this access token is just the API key like I said in here um go right there and paste that in so I already did that obviously so not going to do that current weather I'm going to go Imperial format we can select a location from this weather app based on different things but we're just going to stay with city name and then right here is this is what city we're searching for within the app so we're going to execute this previous node and as we can see from the set Fields node that we just made we have the field of city with the value of Chicago so if we drag this into City this is going to change the search the search in open weather map based on what we typed into this field so we can test the step and now we can see this data that came back so let's just go to table format so it's easier to view oops so we have weather clouds description we have the temperatures we have the wind we have all this information and then we have the name of the city that we search for so just really quickly looking at the data but we know that this not worked so the next node we need to add is an open AI node lots of options here with an open AI node that we can take but we're going to go with message a model okay so you're going to have to connect um your open AI if you haven't done that with a credential same exact thing as open Weather um just needs an API key so you'll go into open AI if you haven't made an account make one real quick and then you'll just go to your API Keys over here on the left create new key name it whatever you want and then create key and it will just give you the option to copy your key and sorry paste it right into here super simple all right so we're going to keep it as text message a model we're going to choose the model so I'm going to choose 40 and now we need to give this a message so what is this open Aon node going to do so let me just paste this in here real quick so what we want to do is we want to put the par below into a single query field ensure it is a string so this is the data that's coming back from open weather map and now we need to put all of this into one field so that the next node can sort of interpret it and make it into plain English English and so we have troubles with this because a lot of these are as you can see main for example is a string because it has an A but weather is a block or an object and Main is an object so we need to make sure that these are all strings so the first thing I'm going to do is we're going to start making these parameters so weather description and then all we want to do is drag in right here the description okay actually let's go let's make this full screen so you guys can see this easier so we've got the description and then over here it's saying that weather description is overclass clouds overcast clouds wow okay so we've got description what else do we want we want the temp and same thing we'll find temp over here drag that right in so it knows it's temp as you can see over here it came in as 62.5 okay so I'm just going to do this with a couple more variables here and then I'll see you guys in a sec okay so I only ended up doing three more just a really concise look at what the weather's like we've got weather description temp humidity wind speed and then what city we're in so we're going to go here and now we just want to test this step to make sure that it came out correctly Okay so we've got it in a simple field although it came in a little weird because it was called content but this should work fine it's got all the stuff we need and it's in a string so we'll be good here let's add another um open AI node we're going to do the same thing message a model um all this is going to be the same we're going to use 40 once again and then this time we are going to say convert the content field which is going to be this one right here so convert the content field um into simple [Music] English in a friendly [Music] tone we want to use oh sorry I cannot type today use emojis to describe the weather okay so this one is going to be a system prompt because this is telling the opening I know what to do we're going to add another message this is where we're going to drag in content and so this sees like what exactly is going on down here it sees the weather description everything we just set up last node we'll keep it as user and let's test the step to see what comes out so we get hey there here's the weather update for Chicago it's mostly cloudy with over overcast overcast Skies the temperature is around 62 blah blah blah so it it gave us the weather and it put some emojis in there it's very friendly um let's just throw in here include a joke test it again it's going to say looks like we're in for some Cloudy Skies we got a bit of a breeze going on too we don't fight skeletons why don't skeletons fight each other in the wind they don't have the guts okay we'll leave that in there just fun example so that threw in a joke so we're pretty much done here because it got what we needed as far as the weather we pared it through and now we need to add another set field because we need to communicate back to the agent hey we grabbed this information and now here it is so you can give it to the user that ask you the question in the first place so manual mapping once again we're setting a field we're going to name this one response it's going to be left as a string and then for Value we're going to grab content and put put that right in there because this is just telling us exactly what the agent or exactly what we just read right so awesome and now we can save that let's call this um get weather so this is our G weather workflow and now we can go make the agent so we're going to go back add new workflow um this is going to be the weather agent demo okay so first step um back to the triggers I was talking about earlier this one is going to be triggered by a chat message because we'll be talking to the agent so we've got this next we want to add an an AI agent so you can click on Advanced Ai and then you've got the agent right here so we're going to leave this as a tools agent because it's going to be calling in different tools prompts will'll take it from the previous node and then system message we will come back here in a sec and prompt this agent exactly what to do so the chat model we need to use open AI that's just the one I always go with and I'm going to use 40 once again we're going to give it a memory so if you remember in the example I asked the agent what's the capital of Florida and then it came back and said the capital of Florida and then I said can you get me the weather for there or what's the weather like there if we didn't put in this this buffer memory the agent wouldn't have remembered that we just asked what the capital of Florida was so it wouldn't know what there was so I can show an example of that near the end but this is important just to give the agent some context of what's going on and so that's what this means it's like context window length you can make it how many pass interactions does the model receive as context we're going to give it a quick Wikipedia tool super simple you don't even have to really set anything up this is just giving the agent the ability to search through Wikipedia and then finally we want to use call nadn workflow tool this is where all the magic happens because this is the tool that's going to we're just going to call this one weather once again weather so you have to give it a description of when to use this tool so very very basic call this tool to access current weather information going to go there we can leave this as database workflow from list you can either do from list by ID but it's super nice that they let you just choose from a list of the workflows you've made so we're going to use this is the one I just made getor weather and then the field to return is response so if you remember at the end we made that set field where we dragged in the response from that last open AI node and the field was called response so that's how it knows what to say back to us so we've got that there I'll get to go so let's actually not prompt this one because I want to show you guys what it does when we just leave it as helpful assistant it should be fine because this is a pretty um simple workflow but let's just go ahead and give it a try so what is the weather like in Denver we can see what's going on here it grabbed the weather then it talked to the model let's see what it said the weather is currently cloudy with the temperature of 62 blah blah blah so as you can see might want to wear a light jacket if you're heading out okay so it gave us the weather but it didn't give us the emojis that we asked for so we can see exactly what happened here if we go to all executions save that real quick we can see what happened in the git weather tool we can see exactly how the data moved through to see if the workflow was doing what we wanted it to do so give this a second here as it loads up right here we see oh I know exactly what happened exactly what I was worried of we didn't change this back to a variable so let's go back into that workflow and make that a variable to make sure that this is actually working correct so get weather now we need to change this to a variable so if we put this in here as json. query and make it an expression then it knows that it's going to take whatever we chat and it's going to put in the city here okay so let's save this and try that again now all right so what is weather like in Denver weather in Denver is currently clear with temperature of 69 the humidity is 39% okay so now let's make sure it's working is the weather like in Hawaii just to make sure that it's actually using different city names or state names currently experiencing light rain okay so it's working here here's a little joke to brighten your day why did the weather bring a ladder to work because it wanted to rise the occasion oh wow okay um so now let's test out the Wikipedia node so what is capital of Hawaii so the capital of Hawaii is Honolulu and now let me show you guys if we get rid of this memory buffer save that um what is the capital of Utah so remember earlier I was able to say what's the weather like there what is the weather like there and now it shouldn't yeah see can you please specify the location you want to know the weather because it can't remember that we just talked about this so um yeah let's add that back in here okay so I wanted to try one more example so I can show you guys how the data is moving through so let's just go like what is the weather in San Diego so we've got the weather in San Diego is currently experiencing scattered clouds humidity level breeze it's a great day to be outdoors okay so we're going to go into all executions and this is how we're able to see exactly what happened in that get weather tool so we can see here um the city came in as San Diego because it was a variable it came through here got the weather we parsed it it came out here and if you've noticed this content is not exactly the same that we got what the agent said to us so this is probably because of the way we prompted it so let's go back in here and I don't think it pulled up okay so the prompt right now was just you're a helpful assistant if we prompt it a little more a little heavier it'll be better with its response so this is not the way that I would recommend prompting especially when you get more tools you always want to give it good background good context you want to give it specific instructions of how to use each tool what the parameters in each tool might be but for now let's just say you are an assistant used to access weather information anywhere around the world and so what we want to do is make sure that it's giving us all those emojis and the joke that we asked for when we originally gave that open AI node instructions so please return the response from the get weather tool okay so we'll save that and see what happens actually let's go in here and just call it the weather tool since that's what we called it right here so what is the weather like in Tokyo current weather in Tokyo features broken clouds with a temperature of 72 there's a Brisk Breeze with wind speeds around 17 okay so if you guys notice that's still not giving us exactly what would be coming out from here so let's just refresh this we'll get that most recent execution um so this is what the tool was giving us at the end um as you can see there's more emojis there's a little cloud or a little joke at the end about clouds and then here we didn't actually get that full we didn't get the joke we didn't get all the Emojis so this has to do with prompting okay so I finally got it working the way that we want it to be working I asked how the weather is in Spain hey there here's the weather update for Spain gives a brief update um it ends with a joke why did the weather bring an umbrella because it wanted to be a little shady stay comfy have a great day so I found that it was actually better to prompt the agent to do um the jokes and the simple English and the emojis in the actual agent prompt rather than prompt prompting it in the weather tool itself not sure exactly why that is but prompting is super super interesting and like I said this isn't the way that you really should be prompting a complicated agent so if you guys are interested in a video more about prompting let me know and I can definitely try to work on that but yeah that's pretty much what this agent is going to do like I said you have the ability to um ask information about different different countries cities whatever it may be and then ask about the weather there so it's a simple agent but it should open up your eyes to the capabilities of Agents being being able to call different tools being able to search the web for different things and just sort of how you can combine all of that into one agent or multiple agents that are able to call each other and yeah I'm sorry for sort of the interruptions in there in the middle or sort of me forgetting to do things but um I like to build these live so you guys can sort of see the way that I think through the flow of the data so I'm going to continue to make sort of step-by-step tutorials like this and try to explain everything to the best of my ability so if you enjoy this type of cont content please let me know and yeah that's it for now so thanks guys