WEBVTT 00:00:00.000 --> 00:00:03.839 Imagine a team of experts. Each one is brilliant 00:00:03.839 --> 00:00:08.099 at just one thing, right? And they're all tackling 00:00:08.099 --> 00:00:11.919 a complex problem together. Now, what if that 00:00:11.919 --> 00:00:15.900 whole team was made up entirely of AI? Welcome 00:00:15.900 --> 00:00:18.800 back to the Deep Dive, everyone. Today, we're 00:00:18.800 --> 00:00:21.719 digging into something pretty fascinating. building 00:00:21.719 --> 00:00:25.019 these AI dream teams. They're called multi -agent 00:00:25.019 --> 00:00:27.760 systems. Exactly. And for ages, this stuff felt 00:00:27.760 --> 00:00:30.079 like it was only for, you know, hardcore developers, 00:00:30.260 --> 00:00:32.640 deep tech. Right. What was really cool is that 00:00:32.640 --> 00:00:34.820 new Denoku tools are making it super accessible. 00:00:35.020 --> 00:00:37.079 So that's what we're exploring today? Yep. We'll 00:00:37.079 --> 00:00:39.179 look at what these agent swarms are, how they 00:00:39.179 --> 00:00:42.320 work, the specific NAN updates that kind of lock 00:00:42.320 --> 00:00:44.179 this, and even some common traps to watch out 00:00:44.179 --> 00:00:46.899 for. Our mission today. give you a shortcut to 00:00:46.899 --> 00:00:49.240 understanding this really powerful new way to 00:00:49.240 --> 00:00:51.420 automate things. Let's get into it. Okay, so 00:00:51.420 --> 00:00:54.020 for a long time, this idea of a multi -agent 00:00:54.020 --> 00:00:56.899 system, you know, a team of specialized AIs working 00:00:56.899 --> 00:00:58.820 together, it really felt like the holy grail. 00:00:58.939 --> 00:01:01.780 Totally. Super complex, very technical, felt 00:01:01.780 --> 00:01:03.539 out of reach for most people, honestly. Unless 00:01:03.539 --> 00:01:05.900 you were deep in the code. But, and this is the 00:01:05.900 --> 00:01:08.379 exciting part, recent updates in NAA and the 00:01:08.379 --> 00:01:10.359 automation platform, they've completely changed 00:01:10.359 --> 00:01:13.459 the game. How so? It's just intuitive now. Visual. 00:01:13.640 --> 00:01:15.709 Yeah. Accessible. You can actually build these 00:01:15.709 --> 00:01:18.590 really sophisticated AI systems without writing 00:01:18.590 --> 00:01:22.090 code, like zero code. Wow. It's like getting 00:01:22.090 --> 00:01:25.370 a new superpower for your work. Seriously. Orchestrating 00:01:25.370 --> 00:01:27.370 complex stuff that was just impossible before 00:01:27.370 --> 00:01:29.870 without a dev team. That does sound like a big 00:01:29.870 --> 00:01:32.469 shift. So is this really truly a game changer 00:01:32.469 --> 00:01:35.890 for making AI more accessible, or are there still 00:01:35.890 --> 00:01:38.969 big hurdles if you don't code? Oh, it's absolutely 00:01:38.969 --> 00:01:42.359 a game changer. Think about it. Before... You 00:01:42.359 --> 00:01:44.719 needed serious coding skills, messing with APIs. 00:01:45.099 --> 00:01:48.579 Right. Complex integrations. Exactly. Now it's 00:01:48.579 --> 00:01:52.040 drag and drop, visual. NAN basically democratized 00:01:52.040 --> 00:01:54.939 it. So these advanced AI capabilities. Are now 00:01:54.939 --> 00:01:57.500 open to everyone. Builders, creators, entrepreneurs, 00:01:57.840 --> 00:01:59.840 no code needed. You're essentially building a 00:01:59.840 --> 00:02:02.000 whole brain trust, not just using one single 00:02:02.000 --> 00:02:04.599 AI brain. Okay. Let's unpack that core idea then. 00:02:04.700 --> 00:02:08.240 An agent swarm. It's not just one big AI. No, 00:02:08.319 --> 00:02:09.960 definitely not. It's more like a coordinated 00:02:09.960 --> 00:02:12.719 team. You use the Ocean's Eleven analogy. Huh. 00:02:13.300 --> 00:02:15.259 Yeah, I kind of like that. Everyone has a specific 00:02:15.259 --> 00:02:18.139 role. So who's who in the AI version? Well, at 00:02:18.139 --> 00:02:19.900 the heart of it, you've got the orchestrator. 00:02:20.240 --> 00:02:23.460 That's your Danny Ocean, the leader. Okay. Its 00:02:23.460 --> 00:02:26.800 main job isn't doing the work itself. It analyzes 00:02:26.800 --> 00:02:29.439 the big problem, figures out the mission, and 00:02:29.439 --> 00:02:31.719 then delegates tasks to the right specialists. 00:02:32.120 --> 00:02:35.199 So it's the manager deciding who does what. Precisely. 00:02:35.599 --> 00:02:37.719 And then you have the sub -agents. The crew members. 00:02:38.099 --> 00:02:40.539 Exactly. Your specialists. You might have an 00:02:40.539 --> 00:02:43.099 email agent just for writing and sending emails. 00:02:43.159 --> 00:02:46.300 A calendar agent for scheduling. A web agent 00:02:46.300 --> 00:02:49.159 for doing internet research. Each one's a master 00:02:49.159 --> 00:02:51.400 of just one thing. And breaking it down like 00:02:51.400 --> 00:02:55.000 that, it offers big advantages. Massive advantages. 00:02:55.219 --> 00:02:57.659 First, you get higher quality outputs. Because 00:02:57.659 --> 00:03:00.199 they're focused. Right. Each agent gets really 00:03:00.199 --> 00:03:02.860 good at its one job. Much better results than 00:03:02.860 --> 00:03:05.919 one general AI trying to juggle everything. It 00:03:05.919 --> 00:03:07.560 helps get around some of those LLM limitations 00:03:07.560 --> 00:03:09.379 when they spread too thin. And I imagine that 00:03:09.379 --> 00:03:12.000 leads to less prompt complexity, reduced prompt 00:03:12.000 --> 00:03:15.180 bloat. Spot on. Instead of this giant, like, 00:03:15.219 --> 00:03:18.580 500 -line prompt for one AI. Trying to guide 00:03:18.580 --> 00:03:20.639 it through everything. Yeah. You have smaller, 00:03:20.800 --> 00:03:23.620 cleaner, much more focused prompts for each specialist. 00:03:24.000 --> 00:03:26.659 Easier to write. Easier to manage. Easier to 00:03:26.659 --> 00:03:28.800 tweak. Okay, that makes sense. And debugging 00:03:28.800 --> 00:03:31.199 must be way simpler, too. Well, it's for sure. 00:03:31.400 --> 00:03:33.800 If emails are failing. You check the email agent. 00:03:34.000 --> 00:03:35.740 Exactly. You know exactly where the problem likely 00:03:35.740 --> 00:03:38.500 is. Narrows it right down. Nice. And finally, 00:03:38.500 --> 00:03:40.919 there's more flexibility. you can actually use 00:03:40.919 --> 00:03:43.319 different ai models for different jobs inside 00:03:43.319 --> 00:03:46.300 the same swarm oh interesting yeah maybe a cheap 00:03:46.300 --> 00:03:49.699 fast model for like quick web searches but then 00:03:49.699 --> 00:03:52.599 a really high quality premium model for writing 00:03:52.599 --> 00:03:55.780 perfect emails or reports so you optimize for 00:03:55.780 --> 00:03:58.759 performance and cost you got it okay so if you 00:03:58.759 --> 00:04:01.500 had to pick what's the single biggest advantage 00:04:01.500 --> 00:04:05.039 of using these specialized ai agent swarms the 00:04:05.039 --> 00:04:08.340 single biggest I'd say it's about reliability 00:04:08.340 --> 00:04:11.699 and predictability for complex tasks. Well, you're 00:04:11.699 --> 00:04:14.080 overcoming that generalist problem with large 00:04:14.080 --> 00:04:17.360 language models. By giving an AI one narrow focus, 00:04:17.620 --> 00:04:20.540 it performs that task more reliably. So you can 00:04:20.540 --> 00:04:22.680 chain these specialists together for complex, 00:04:22.779 --> 00:04:25.220 multi -step things that a single AI might just 00:04:25.220 --> 00:04:29.139 fumble, you know, or cost a fortune to run reliably. 00:04:29.620 --> 00:04:32.839 Focus boosts reliability. Right. Focus leads 00:04:32.839 --> 00:04:35.600 to higher quality, easier management, and flexibility. 00:04:36.040 --> 00:04:38.550 Perfectly put. And this whole shift, making this 00:04:38.550 --> 00:04:41.129 accessible, you said it was really unlocked by 00:04:41.129 --> 00:04:45.949 N8n version 1 .103 and onwards. Yeah, those specific 00:04:45.949 --> 00:04:48.490 updates were key. Before that, trying to build 00:04:48.490 --> 00:04:51.149 an agent swarm was... Well, clunky is a nice 00:04:51.149 --> 00:04:53.569 word for it. Hi. Subagents lived in separate 00:04:53.569 --> 00:04:56.050 places, these subworkflows. Like managing a team 00:04:56.050 --> 00:04:57.750 where everyone's in a different building. Exactly. 00:04:57.870 --> 00:04:59.769 And you're running between them. Debugging meant 00:04:59.769 --> 00:05:02.050 juggling loads of browser tabs, trying to follow 00:05:02.050 --> 00:05:04.209 the logic across disconnected bits. It was a 00:05:04.209 --> 00:05:06.889 headache. But now. Now you build the entire swarm 00:05:06.889 --> 00:05:09.589 orchestrator, all the subagents. It's all in 00:05:09.589 --> 00:05:12.009 one single unified workflow. All on the same 00:05:12.009 --> 00:05:15.730 screen, visually. Yes. You can literally see 00:05:15.730 --> 00:05:18.189 the data flowing. Watch the orchestrator hand 00:05:18.189 --> 00:05:20.810 off a task, see the subagent pick it up, see 00:05:20.810 --> 00:05:23.189 the result come back. That transparency must 00:05:23.189 --> 00:05:26.069 be huge. It's what finally made no -code agent 00:05:26.069 --> 00:05:31.029 swarms practical. Two -sec silence. No! I mean, 00:05:31.050 --> 00:05:33.730 imagine scaling that. A thousand queries, a million, 00:05:33.930 --> 00:05:36.730 all orchestrated visually. That's the potential 00:05:36.730 --> 00:05:39.550 here. That unified view definitely sounds powerful 00:05:39.550 --> 00:05:42.839 for troubleshooting. But does building these 00:05:42.839 --> 00:05:44.860 still need a different way of thinking compared 00:05:44.860 --> 00:05:48.399 to, say, standard no -code stuff? How does seeing 00:05:48.399 --> 00:05:50.939 it all together change how you build and refine 00:05:50.939 --> 00:05:53.319 it? Oh, it completely transforms it. You go from 00:05:53.319 --> 00:05:56.160 this disconnected kind of guessing game. Trying 00:05:56.160 --> 00:05:58.180 to figure out where things broke. Right, to this 00:05:58.180 --> 00:06:00.139 holistic, intuitive process. You see the whole 00:06:00.139 --> 00:06:02.759 conversation, the delegation, what each agent 00:06:02.759 --> 00:06:06.360 did, all in one place. It makes building, testing, 00:06:06.480 --> 00:06:08.720 and fixing these complex systems so much faster. 00:06:08.839 --> 00:06:11.560 And frankly... way less frustrating. Okay, let's 00:06:11.560 --> 00:06:13.319 make this concrete. Talk us through an example 00:06:13.319 --> 00:06:15.480 like that executive assistant agent swarm, something 00:06:15.480 --> 00:06:17.759 handling complex requests. Yeah, the article 00:06:17.759 --> 00:06:20.800 had a great one. A user asks, find four top YouTube 00:06:20.800 --> 00:06:25.000 videos about NAN, send the list to AI Fire via 00:06:25.000 --> 00:06:28.480 email. Oh, and also tell me the weather in Paris 00:06:28.480 --> 00:06:32.040 today. Okay, classic multi -part request, different 00:06:32.040 --> 00:06:35.060 domains. Exactly. And what happened next was 00:06:35.060 --> 00:06:38.490 pretty slick. The orchestrator AI kicks in. It 00:06:38.490 --> 00:06:40.389 understands the whole request and breaks it down. 00:06:40.470 --> 00:06:43.089 Okay. Need weather for Paris. Need YouTube videos. 00:06:43.290 --> 00:06:45.889 Need to send an email. Three distinct tasks. 00:06:46.230 --> 00:06:48.870 Then it delegates. Immediately. Calls the web 00:06:48.870 --> 00:06:51.189 agent for the weather. Calls the contact agent 00:06:51.189 --> 00:06:53.930 to look up AI Fires email. Calls the YouTube 00:06:53.930 --> 00:06:56.050 agent for the video search. And they work in 00:06:56.050 --> 00:06:58.750 parallel? Yep. Concurrently. Each specialist 00:06:58.750 --> 00:07:01.269 just handles its piece simultaneously. Super 00:07:01.269 --> 00:07:03.240 efficient. Okay, then they report back. Each 00:07:03.240 --> 00:07:05.139 one feeds its findings back to the orchestrator. 00:07:05.199 --> 00:07:07.199 Now it has the weather, the video list, the email 00:07:07.199 --> 00:07:10.019 address, all the pieces. Got it. Final step. 00:07:10.220 --> 00:07:12.519 The final act. The orchestrator calls the email 00:07:12.519 --> 00:07:14.920 agent, gives it all the info, and tells it to 00:07:14.920 --> 00:07:17.899 compose and send the formatted email. Nice. And, 00:07:17.899 --> 00:07:20.139 this is important, there's a logging agent working 00:07:20.139 --> 00:07:22.379 silently in the background the whole time. Ah, 00:07:22.480 --> 00:07:25.699 the logbook. Recording every action, who did 00:07:25.699 --> 00:07:28.259 what, even the token usage. It's kind of the 00:07:28.259 --> 00:07:31.009 AI's processing cost. Right. and saving it all 00:07:31.009 --> 00:07:33.529 to a Google Sheet. Then finally, a confirmation 00:07:33.529 --> 00:07:36.370 message goes back to the user. Done. And just 00:07:36.370 --> 00:07:39.589 to clarify, each agent here is basically an NAN 00:07:39.589 --> 00:07:43.110 AI agent node, like a building block in the workflow. 00:07:43.329 --> 00:07:46.009 Correct. Paired up with a specific tool, like 00:07:46.009 --> 00:07:48.930 the Gmail node or a web search node. Exactly. 00:07:48.930 --> 00:07:51.550 It's the AI brain connected to its specific tool 00:07:51.550 --> 00:07:54.509 or hand. Looking at that whole process, what's 00:07:54.509 --> 00:07:56.550 the most impressive part of that multi -step 00:07:56.550 --> 00:08:00.319 operation to you? Honestly. It's a seamless automation 00:08:00.319 --> 00:08:02.779 of multi -domain problem solving. Going from 00:08:02.779 --> 00:08:05.680 natural language to... To a team of specialists 00:08:05.680 --> 00:08:08.000 coordinating to get it done automatically. That 00:08:08.000 --> 00:08:11.000 kind of adaptive, complex automation. Really 00:08:11.000 --> 00:08:13.399 hard to pull off before this multi -agent approach 00:08:13.399 --> 00:08:15.959 became accessible. Seamless, automated problem 00:08:15.959 --> 00:08:18.920 solving by specialists. So every good swarm has 00:08:18.920 --> 00:08:20.879 these core building blocks. You mentioned four 00:08:20.879 --> 00:08:22.839 key components. That's right. First, the main 00:08:22.839 --> 00:08:25.310 orchestrator agent. The boss. The Danny Ocean. 00:08:25.470 --> 00:08:28.870 Yeah. Its job is only thinking and delegating. 00:08:28.930 --> 00:08:31.430 You have to explicitly tell it. Don't do the 00:08:31.430 --> 00:08:33.830 work yourself. Critical instruction. Okay, second. 00:08:34.029 --> 00:08:35.870 Your specialized sub -agents. Yeah. The crew. 00:08:35.970 --> 00:08:38.029 Each one of them contains narrow expertise, limited 00:08:38.029 --> 00:08:40.990 tools. Email agent only gets Gmail tool access. 00:08:41.309 --> 00:08:44.389 Web agent only gets web search. That focus is 00:08:44.389 --> 00:08:48.289 vital. Makes sense. Third. Shared memory. Think 00:08:48.289 --> 00:08:49.950 of it as the mission briefing everyone can see. 00:08:50.009 --> 00:08:52.190 How does that work technically? Usually it's 00:08:52.190 --> 00:08:54.750 something like N8N's simple chat memory database. 00:08:55.129 --> 00:08:57.710 Use the same session ID for a user's requests 00:08:57.710 --> 00:09:00.429 so all agents can see the conversation history. 00:09:00.649 --> 00:09:02.950 So they have context. Exactly. They can collaborate 00:09:02.950 --> 00:09:05.309 effectively, remembering what happened earlier 00:09:05.309 --> 00:09:07.730 in the interaction. Super important for follow 00:09:07.730 --> 00:09:09.549 -up questions. And the fourth component, the 00:09:09.549 --> 00:09:11.610 one you said is often overlooked. The logbook. 00:09:11.769 --> 00:09:14.850 Your black box. Absolutely critical. Why so critical? 00:09:15.070 --> 00:09:17.580 Because you need to track everything. Every action 00:09:17.580 --> 00:09:19.740 by every agent, who did what, when, how many 00:09:19.740 --> 00:09:22.460 tokens it used. Logging into something like Google 00:09:22.460 --> 00:09:25.320 Sheets gives you transparency. It's essential 00:09:25.320 --> 00:09:29.200 for debugging, auditing, just understanding what 00:09:29.200 --> 00:09:30.740 actually happened. Right. You mentioned that. 00:09:30.879 --> 00:09:34.440 So why is logging so crucial for these complex 00:09:34.440 --> 00:09:36.980 systems specifically? It seems like extra work. 00:09:37.159 --> 00:09:39.220 It might seem like it, but it's your black box, 00:09:39.320 --> 00:09:42.179 your flight recorder. When things go wrong and 00:09:42.179 --> 00:09:45.480 they... Sometimes you need that detailed log. 00:09:45.700 --> 00:09:47.580 To trace the problem. Exactly. You can see the 00:09:47.580 --> 00:09:50.259 exact sequence. Orchestrator thought this, delegated 00:09:50.259 --> 00:09:52.120 to that agent, the agent tried this, got this 00:09:52.120 --> 00:09:54.480 error. Without the log, you're just guessing. 00:09:54.840 --> 00:09:57.879 It lets you understand the AI's reasoning and 00:09:57.879 --> 00:10:00.580 pinpoint failures. You're flying blind without 00:10:00.580 --> 00:10:03.639 it. Okay. That makes a lot of sense. So for someone 00:10:03.639 --> 00:10:05.360 listening who's thinking, all right, I want to 00:10:05.360 --> 00:10:08.679 try this, how do they start? Step one. Step one. 00:10:09.000 --> 00:10:13.169 Set up your orchestrator in NAN. You literally 00:10:13.169 --> 00:10:16.210 just add an AI agent node connected to your chat 00:10:16.210 --> 00:10:18.789 model, like OpenAI or Anthropic. And the crucial 00:10:18.789 --> 00:10:21.330 part. The system prompt for that orchestrator. 00:10:21.409 --> 00:10:22.870 This is probably the most important piece of 00:10:22.870 --> 00:10:25.190 text you'll write because it must tell the orchestrator 00:10:25.190 --> 00:10:28.450 to delegate, not to do the tasks itself. The 00:10:28.450 --> 00:10:31.370 article is a good example. Something like, you 00:10:31.370 --> 00:10:34.330 are an advanced assistant. Your job is to route 00:10:34.330 --> 00:10:36.950 queries to the right tool. Do not write emails 00:10:36.950 --> 00:10:39.490 or summaries. Your sole job is calling the correct 00:10:39.490 --> 00:10:42.740 tool. very explicit you have to be and another 00:10:42.740 --> 00:10:45.840 pro tip yeah always stick the current date and 00:10:45.840 --> 00:10:49.179 time in there dynamically use that eval why is 00:10:49.179 --> 00:10:51.220 that important again because ais don't know what 00:10:51.220 --> 00:10:53.879 time it is otherwise they're stateless they live 00:10:53.879 --> 00:10:56.259 in a weird timeless void unless you ground them 00:10:56.259 --> 00:10:59.799 got it crucial detail okay step two build the 00:10:59.799 --> 00:11:01.970 first specialist yep your first sub -agent Add 00:11:01.970 --> 00:11:04.450 another AI agent node, but this time you set 00:11:04.450 --> 00:11:06.389 it up as a tool that the orchestrator can use. 00:11:06.509 --> 00:11:08.870 Okay. Give it a really clear name, like email 00:11:08.870 --> 00:11:11.149 agent, and a clear description for the orchestrator, 00:11:11.190 --> 00:11:14.690 like use this agent to send emails. Needs recipient, 00:11:14.950 --> 00:11:17.549 subject, and body. So the orchestrator knows 00:11:17.549 --> 00:11:19.970 exactly what it does and needs. Precisely. Then 00:11:19.970 --> 00:11:22.809 connect a chat model to this subagent too, and 00:11:22.809 --> 00:11:25.129 give it its own specific tool, like the Gmail 00:11:25.129 --> 00:11:27.690 node. And configure that tool. Critically, yes. 00:11:28.370 --> 00:11:31.169 Configure the Gmail tool so the AI can fill in 00:11:31.169 --> 00:11:33.789 the recipient, subject, and body based on the 00:11:33.789 --> 00:11:36.049 task it got. That's where the action happens. 00:11:36.250 --> 00:11:38.570 Okay. Step three is just repeating that. Basically, 00:11:38.690 --> 00:11:40.870 yeah. Assemble the rest of your team. Repeat 00:11:40.870 --> 00:11:43.029 for a calendar agent, web agent, contact agent, 00:11:43.049 --> 00:11:44.769 whatever you need. Each one is just that simple 00:11:44.769 --> 00:11:48.110 unit. AI brain plus one tool, one hand. Brain 00:11:48.110 --> 00:11:51.149 connected to a single hand. I like that. Step 00:11:51.149 --> 00:11:53.669 four, testing and debugging. And this is where 00:11:53.669 --> 00:11:56.889 that unified NAA and Enview is amazing. Your 00:11:56.889 --> 00:11:59.889 superpower? Right. You send a test request, and 00:11:59.889 --> 00:12:02.269 you can literally watch on one screen. Orchestrator 00:12:02.269 --> 00:12:04.850 gets it, passes it to the email agent. Email 00:12:04.850 --> 00:12:07.070 agent uses the Gmail tool. And you can see the 00:12:07.070 --> 00:12:09.629 logs. Click right into the logs, see the AI's 00:12:09.629 --> 00:12:12.049 thoughts, why it chose that tool, what info it 00:12:12.049 --> 00:12:14.409 used. Makes fixing things so much easier. And 00:12:14.409 --> 00:12:16.009 it's iterative, right? You don't build the whole 00:12:16.009 --> 00:12:18.070 thing at once. Definitely not. Start simple, 00:12:18.190 --> 00:12:21.909 test, add another agent, test again. I mean, 00:12:21.950 --> 00:12:24.509 I still wrestle with prompt drift myself sometimes 00:12:24.509 --> 00:12:26.379 when I build these. Getting the prompts just 00:12:26.379 --> 00:12:28.580 right takes iteration. It's part of the process. 00:12:28.799 --> 00:12:31.360 Okay. And step five was adding memory. Yeah. 00:12:31.399 --> 00:12:33.320 For a real system, you connect all the agents, 00:12:33.419 --> 00:12:35.980 orchestrator, and sub -agents to a shared simple 00:12:35.980 --> 00:12:38.779 chat memory. Using the same session ID. Exactly. 00:12:38.980 --> 00:12:41.220 So they all share that short -term memory for 00:12:41.220 --> 00:12:43.879 that user's conversation. Essential for handling 00:12:43.879 --> 00:12:46.240 follow -up questions and maintaining context. 00:12:46.659 --> 00:12:49.039 Makes sense. So going through all that, what 00:12:49.039 --> 00:12:51.899 do you find is usually the hardest part? for 00:12:51.899 --> 00:12:55.000 someone building their very first swarm. Honestly, 00:12:55.159 --> 00:12:58.240 getting that orchestrator delegation prompt absolutely 00:12:58.240 --> 00:13:01.539 right. Really? Why that specifically? It's just 00:13:01.539 --> 00:13:05.379 surprisingly hard sometimes to stop a powerful 00:13:05.379 --> 00:13:08.080 AI from trying to be helpful and just do the 00:13:08.080 --> 00:13:10.399 task itself. You have to be so clear, so directive, 00:13:10.500 --> 00:13:13.419 sometimes using strong words, to force it to 00:13:13.419 --> 00:13:15.759 only delegate. Getting that balance right takes 00:13:15.759 --> 00:13:18.340 practice. It's the linchpin, though. Right. Getting 00:13:18.340 --> 00:13:20.460 the orchestrator's delegation punch just right. 00:13:20.539 --> 00:13:22.559 Okay. And it's normal for things to break at 00:13:22.559 --> 00:13:24.799 work? It's totally normal. Expect it. It's less 00:13:24.799 --> 00:13:27.519 like snapping Legos together. Oh. And more like 00:13:27.519 --> 00:13:31.179 training really smart but super literal employees. 00:13:31.360 --> 00:13:33.539 They will misunderstand things initially. So 00:13:33.539 --> 00:13:35.860 troubleshooting is key. The article mentioned 00:13:35.860 --> 00:13:38.240 common pitfalls. Yeah. Three main ones that pop 00:13:38.240 --> 00:13:41.220 up all the time. First, the time traveling agent. 00:13:41.460 --> 00:13:43.179 We touched on this. They don't know the date. 00:13:43.340 --> 00:13:45.830 Exactly. They're stateless, so they might pull 00:13:45.830 --> 00:13:48.970 old info or schedule things wrong. The fix is 00:13:48.970 --> 00:13:51.970 simple but critical. Put in your orchestrator 00:13:51.970 --> 00:13:55.230 system prompt. Always. That lack of date awareness, 00:13:55.629 --> 00:13:58.409 it still seems so counterintuitive for something 00:13:58.409 --> 00:14:00.789 so smart. It does. It catches everyone off guard 00:14:00.789 --> 00:14:03.289 at first. But, yeah, got to tell it to time. 00:14:03.490 --> 00:14:06.210 Okay, second pitfall. The micromanaging orchestrator. 00:14:06.769 --> 00:14:09.690 This is when it ignores your instructions and 00:14:09.690 --> 00:14:11.809 tries to do everything itself instead of delegating. 00:14:11.889 --> 00:14:14.710 The fix is a stronger prompt. Yep. More direct, 00:14:14.870 --> 00:14:18.429 use caps, like sole responsibility, or should 00:14:18.429 --> 00:14:20.789 never write the email, be forceful, leave no 00:14:20.789 --> 00:14:23.529 ambiguity. Got it. And the third one? The clumsy 00:14:23.529 --> 00:14:26.250 specialist. This is when the sub -agent messes 00:14:26.250 --> 00:14:29.090 up its actual task. Like, it tries to email Bob 00:14:29.090 --> 00:14:32.149 instead of Bob at example .com. Ah, so it doesn't 00:14:32.149 --> 00:14:34.450 understand the required format. Right. The solution 00:14:34.450 --> 00:14:36.610 is to add descriptive parameters in the tool's 00:14:36.610 --> 00:14:39.049 configuration. Tell the Gmail note itself. The 00:14:39.049 --> 00:14:41.250 to field must be a valid email address format. 00:14:41.629 --> 00:14:44.330 So you add validation or instructions at the 00:14:44.330 --> 00:14:46.750 tool level. Exactly. It gives the AI tighter 00:14:46.750 --> 00:14:49.529 guardrails for its specific action. Okay. This 00:14:49.529 --> 00:14:52.029 brings up a really important point. Knowing when 00:14:52.029 --> 00:14:54.870 to actually use a swarm versus a more traditional 00:14:54.870 --> 00:14:57.490 automation workflow. Yes. This is key for being 00:14:57.490 --> 00:15:00.509 a smart automation architect. An AI agent swarm 00:15:00.509 --> 00:15:03.509 is powerful, but it's like you said, tactical 00:15:03.509 --> 00:15:06.009 nuke level. You don't use it to hang a picture 00:15:06.009 --> 00:15:08.669 frame. So when do you use it? You use a swarm 00:15:08.669 --> 00:15:11.570 when the task is a mission. A mission. Meaning? 00:15:11.669 --> 00:15:15.009 Meaning it's complex, has unpredictable parts, 00:15:15.210 --> 00:15:17.929 needs reasoning, involves different kinds of 00:15:17.929 --> 00:15:21.090 knowledge or tools, like onboard this new client. 00:15:21.450 --> 00:15:23.490 That process changes depending on the client, 00:15:23.570 --> 00:15:25.429 right? Sure. Or plan my business trip to London. 00:15:25.669 --> 00:15:28.350 Flights, hotels, meetings, maybe local info. 00:15:28.909 --> 00:15:31.570 Lots of variables. Needs coordination. That's 00:15:31.570 --> 00:15:34.370 a mission. Okay, so missions get swarms. When 00:15:34.370 --> 00:15:37.149 do you use a traditional workflow? Use a traditional 00:15:37.149 --> 00:15:39.470 workflow when the task is just a process. Like 00:15:39.470 --> 00:15:42.720 an assembly line. Exactly. Deterministic, predictable 00:15:42.720 --> 00:15:46.820 steps. Simple inputs, simple outputs. No complex 00:15:46.820 --> 00:15:49.639 decision -making needed. The example was type 00:15:49.639 --> 00:15:52.580 form submitted, add data to Google Sheet, send 00:15:52.580 --> 00:15:54.620 confirmation email. Straightforward sequence. 00:15:55.000 --> 00:15:59.970 Yep. If A happens, do B, then C. No real AI reasoning 00:15:59.970 --> 00:16:02.970 needed. And using the wrong tool is bad. Yeah, 00:16:03.009 --> 00:16:05.409 using a complex swarm for a simple process is 00:16:05.409 --> 00:16:08.169 overkill. Wastes resources, makes it fragile. 00:16:08.330 --> 00:16:10.610 And trying to use a simple workflow for a complex 00:16:10.610 --> 00:16:13.490 dynamic mission, it'll just break or fail. Always 00:16:13.490 --> 00:16:15.809 choose the right level of tool for the job. That 00:16:15.809 --> 00:16:18.009 feels like maybe the biggest mistake people make 00:16:18.009 --> 00:16:21.250 with powerful new AI tools generally. What do 00:16:21.250 --> 00:16:23.490 you see as the main pitfall there? Trying to 00:16:23.490 --> 00:16:25.289 use a cool new hammer for every single problem, 00:16:25.389 --> 00:16:27.809 even screws. People get excited about a powerful 00:16:27.809 --> 00:16:29.970 tool like agent swarms and want to apply it everywhere. 00:16:30.169 --> 00:16:32.250 But the real skill is knowing its strengths and 00:16:32.250 --> 00:16:34.169 weaknesses. When is it the perfect solution? 00:16:34.350 --> 00:16:37.090 And when is something simpler actually better? 00:16:37.450 --> 00:16:40.429 Using a powerful tool for every single task is 00:16:40.429 --> 00:16:42.730 usually the wrong approach. Matching tool to 00:16:42.730 --> 00:16:45.230 task complexity is crucial. Okay, so let's zoom 00:16:45.230 --> 00:16:47.610 out. What does all this really mean for people 00:16:47.610 --> 00:16:50.809 building things right now? I genuinely think 00:16:50.809 --> 00:16:54.649 AI agent swarms are the next big leap in no -code 00:16:54.649 --> 00:16:57.769 automation. For real. And it's accessible now. 00:16:57.950 --> 00:16:59.870 Yeah. Thanks to platforms like NA and making 00:16:59.870 --> 00:17:02.950 it visual and intuitive, this power isn't locked 00:17:02.950 --> 00:17:05.369 away anymore. It's there for builders, creators, 00:17:05.710 --> 00:17:09.009 entrepreneurs, anyone. So the future isn't one 00:17:09.009 --> 00:17:12.869 giant all -knowing AI. No. That's kind of sci 00:17:12.869 --> 00:17:15.769 -fi thinking. The reality, at least for now, 00:17:15.890 --> 00:17:17.890 is more interesting. Which is? It's about us 00:17:17.890 --> 00:17:20.289 becoming better managers, better orchestrators 00:17:20.289 --> 00:17:23.069 of these specialized AI teams. Like being the 00:17:23.069 --> 00:17:24.890 conductor of the orchestra. Exactly. You're not 00:17:24.890 --> 00:17:26.829 playing every instrument. You're leading the 00:17:26.829 --> 00:17:29.130 specialist to create something complex and powerful 00:17:29.130 --> 00:17:31.869 together. So the call to action here is really 00:17:31.869 --> 00:17:34.470 to think differently. Yeah. Think about those 00:17:34.470 --> 00:17:37.349 complex missions in your work or life. What could 00:17:37.349 --> 00:17:40.250 a custom AI team do for you? We really encourage 00:17:40.250 --> 00:17:42.490 you to explore these no -code tools. See what 00:17:42.490 --> 00:17:44.910 you can build. The tools are there now. You really 00:17:44.910 --> 00:17:47.809 can build and lead your own AI team, no coding 00:17:47.809 --> 00:17:50.349 required. That's pretty amazing. Well, that's 00:17:50.349 --> 00:17:52.769 all the time we have for this deep dive. Thank 00:17:52.769 --> 00:17:55.269 you so much for joining us. Yeah, hope you found 00:17:55.269 --> 00:17:58.190 that insightful. Until next time, keep learning, 00:17:58.369 --> 00:18:00.730 keep building. And keep asking the big questions. 00:18:00.769 --> 00:18:01.410 Stay curious.