1 00:00:00,840 --> 00:00:03,760 Speaker 1: If you've ever asked AI to write an email for 2 00:00:03,880 --> 00:00:08,440 Speaker 1: you and ended up with something completely off, maybe too formal, 3 00:00:08,560 --> 00:00:13,200 Speaker 1: too vague, or just not you, You're not alone. 4 00:00:13,560 --> 00:00:13,920 Speaker 2: Today. 5 00:00:14,040 --> 00:00:18,840 Speaker 1: I'm joined by Inventium's AI expert, Neo Applin to unpack 6 00:00:18,880 --> 00:00:22,480 Speaker 1: where most people go wrong when using AI for email 7 00:00:22,880 --> 00:00:27,960 Speaker 1: and how to fix it. Neo shares some very practical 8 00:00:28,000 --> 00:00:32,239 Speaker 1: strategies for churning Chat, GPT, Claude, and even Microsoft co 9 00:00:32,360 --> 00:00:36,800 Speaker 1: Pilot into the ultimate email assistant. You will walk away 10 00:00:37,000 --> 00:00:41,000 Speaker 1: with a smarter and faster way to tackle your inbox. 11 00:00:45,680 --> 00:00:49,440 Speaker 1: Welcome to How I Work, a show about habits, rituals, 12 00:00:49,440 --> 00:00:53,400 Speaker 1: and strategies for optimizing your day. I'm your host, doctor 13 00:00:53,400 --> 00:00:58,000 Speaker 1: Amantha Imber. Two years ago, I completely overhauled how I 14 00:00:58,080 --> 00:01:01,920 Speaker 1: work with jen Ai and I'm now saving over forty 15 00:01:01,960 --> 00:01:07,160 Speaker 1: hours every single week. That is no exaggeration and that 16 00:01:07,360 --> 00:01:12,280 Speaker 1: is exactly why my company, Inventium, created the Genai Productivity Upgrade. 17 00:01:12,360 --> 00:01:15,000 Speaker 1: It's a twelve week course designed to move you from 18 00:01:15,120 --> 00:01:20,160 Speaker 1: Jenai dabbler to productivity machine. There is no fluff, just 19 00:01:20,240 --> 00:01:23,720 Speaker 1: practical strategies that will pay off from week one, saving 20 00:01:23,760 --> 00:01:27,920 Speaker 1: you at least ten hours every single week. We are 21 00:01:28,000 --> 00:01:30,080 Speaker 1: going to teach you how to automate the grant work. 22 00:01:30,360 --> 00:01:33,120 Speaker 1: Use AI as your second brain to excel at your job. 23 00:01:33,600 --> 00:01:36,280 Speaker 1: Learn how to create AI agents that we knew back 24 00:01:36,440 --> 00:01:39,800 Speaker 1: hours every time you use them, and so much more so. 25 00:01:39,880 --> 00:01:43,240 Speaker 1: Whether you're a complete beginner or already using AI, we 26 00:01:43,360 --> 00:01:46,760 Speaker 1: have got you covered. We start with prompting fundamentals and 27 00:01:46,800 --> 00:01:49,320 Speaker 1: we go all the way through to advanced automations and 28 00:01:49,360 --> 00:01:53,200 Speaker 1: agentic AI. We kick off on October fifteen and spots 29 00:01:53,280 --> 00:01:57,440 Speaker 1: are limited. Visit inventium dot com dot au, forward slash 30 00:01:57,520 --> 00:02:01,559 Speaker 1: Genai hyphen cohort to secure your place now and yes 31 00:02:01,560 --> 00:02:03,840 Speaker 1: that's a long link. It's also in the show notes. 32 00:02:03,880 --> 00:02:06,240 Speaker 1: If you're looking for it and you've literally got nothing 33 00:02:06,240 --> 00:02:09,160 Speaker 1: to lose, there's a seven day money back guarantee. So 34 00:02:09,520 --> 00:02:11,400 Speaker 1: go to the show notes hop on the link and 35 00:02:11,520 --> 00:02:15,760 Speaker 1: join our program today. So where do most people go 36 00:02:16,000 --> 00:02:20,200 Speaker 1: wrong when they ask AI to write emails for them? 37 00:02:20,960 --> 00:02:24,160 Speaker 2: Really two parts to that. The first part is drafting 38 00:02:24,160 --> 00:02:26,880 Speaker 2: the email, which people obviously think of when they're getting 39 00:02:26,880 --> 00:02:29,320 Speaker 2: AI to write anything, But the other one is about 40 00:02:29,480 --> 00:02:32,640 Speaker 2: getting the context that it needs to be able to 41 00:02:32,639 --> 00:02:35,280 Speaker 2: write an email for you for the purpose you're trying 42 00:02:35,320 --> 00:02:39,000 Speaker 2: to write that email for So the main problem I 43 00:02:39,080 --> 00:02:41,520 Speaker 2: think for most people is that context part, which is 44 00:02:41,720 --> 00:02:44,280 Speaker 2: who are you talking to in this email? What are 45 00:02:44,320 --> 00:02:47,600 Speaker 2: the conversations you've had before, what does your organization do 46 00:02:47,720 --> 00:02:49,919 Speaker 2: versus what they do? All those kind of things. That's 47 00:02:49,919 --> 00:02:51,680 Speaker 2: the hard thing to put in for a lot of people. 48 00:02:52,040 --> 00:02:56,400 Speaker 1: And so why is a lack of context such a problem? 49 00:02:56,880 --> 00:02:59,680 Speaker 2: Well, without that context, AI is going to assume. It's 50 00:02:59,720 --> 00:03:01,960 Speaker 2: either going to assume you're best friends and you've worked 51 00:03:02,000 --> 00:03:05,320 Speaker 2: together forever, or maybe it's a first contact, or it 52 00:03:05,400 --> 00:03:08,320 Speaker 2: might think that you're talking about this project for the 53 00:03:08,440 --> 00:03:10,600 Speaker 2: very first time, but in reality, you've been working with 54 00:03:10,639 --> 00:03:14,120 Speaker 2: this person for three months. Without that context, AI is 55 00:03:14,240 --> 00:03:16,799 Speaker 2: only going to guess. And here's the thing about guessing, 56 00:03:16,840 --> 00:03:18,080 Speaker 2: it's probably going to guess it wrong. 57 00:03:18,760 --> 00:03:24,240 Speaker 1: Okay, Now, is this different between different GENAI tools? Because 58 00:03:24,240 --> 00:03:28,200 Speaker 1: I'm imagining in co pilot, because it can access all 59 00:03:28,240 --> 00:03:31,760 Speaker 1: of your inbox, you do get that context or is 60 00:03:31,760 --> 00:03:32,640 Speaker 1: that not quite right? 61 00:03:33,000 --> 00:03:35,960 Speaker 2: You do, But there's a catch, And the catch is 62 00:03:36,240 --> 00:03:39,240 Speaker 2: you've got to tell the AI to read the emails 63 00:03:39,240 --> 00:03:42,520 Speaker 2: between you and that person so that it understands ah, okay, 64 00:03:42,520 --> 00:03:45,680 Speaker 2: there is background and context and rather than just saying, hey, 65 00:03:45,760 --> 00:03:48,680 Speaker 2: read all the emails between Amantha and I. It might 66 00:03:48,720 --> 00:03:52,040 Speaker 2: be read the emails between Amanthra and I with project 67 00:03:52,280 --> 00:03:55,080 Speaker 2: X in the subject line or something like that. So 68 00:03:55,120 --> 00:03:56,680 Speaker 2: it makes sure it reads it and it gives you 69 00:03:56,680 --> 00:04:00,760 Speaker 2: a summary of it. That way effectually thinks out. Then 70 00:04:00,800 --> 00:04:03,200 Speaker 2: it has the context. Either that or you provide a 71 00:04:03,200 --> 00:04:03,960 Speaker 2: briefing document. 72 00:04:04,760 --> 00:04:07,200 Speaker 1: Okay, so let's talk about this because I want to 73 00:04:07,200 --> 00:04:11,800 Speaker 1: know what is the ideal solution with with any of 74 00:04:11,840 --> 00:04:14,760 Speaker 1: the Jenai platforms that people are using, whether that be Chat, 75 00:04:14,880 --> 00:04:18,599 Speaker 1: GPT or Claude or Gemini or co Pilot being the 76 00:04:18,680 --> 00:04:19,160 Speaker 1: main one. 77 00:04:19,200 --> 00:04:23,279 Speaker 2: So what do we do first? Work with it like 78 00:04:23,400 --> 00:04:26,320 Speaker 2: it was a brand new EA. Why not. We'll use 79 00:04:26,360 --> 00:04:28,599 Speaker 2: that as an example. So you wouldn't go to a 80 00:04:28,600 --> 00:04:31,160 Speaker 2: brand new EA and say, write me an email to Amantha. Go. 81 00:04:31,839 --> 00:04:35,080 Speaker 2: What you'd say is, hey, Amantha, i've been working on 82 00:04:35,080 --> 00:04:38,960 Speaker 2: this project. Here's what we've been doing. Now, before you 83 00:04:39,000 --> 00:04:41,400 Speaker 2: write the email, here's how I like you to write 84 00:04:41,400 --> 00:04:43,840 Speaker 2: my emails and my style and my voice wise kind 85 00:04:43,839 --> 00:04:46,760 Speaker 2: of things. Okay, Now, with all that background, write me 86 00:04:46,800 --> 00:04:49,240 Speaker 2: an email to Amantha. Because other than that, if you 87 00:04:49,560 --> 00:04:51,159 Speaker 2: just got a brand new EA and you said, write 88 00:04:51,200 --> 00:04:53,359 Speaker 2: me an email. Of course they're going to get it wrong, 89 00:04:53,680 --> 00:04:55,440 Speaker 2: but you're not going to get grumpy at that EA 90 00:04:55,600 --> 00:04:57,600 Speaker 2: saying you've done a crap job instead of you go, 91 00:04:57,720 --> 00:04:59,960 Speaker 2: I didn't give you the background. AI is just the same. 92 00:05:00,480 --> 00:05:03,599 Speaker 1: Okay. So we've got a briefing document that talks about 93 00:05:03,920 --> 00:05:08,080 Speaker 1: your company, your role in the company, and key background info. 94 00:05:08,920 --> 00:05:12,480 Speaker 1: What about how we're sounding in an email? Because I 95 00:05:12,560 --> 00:05:17,720 Speaker 1: know when I write emails they're not overly formal whereas 96 00:05:17,760 --> 00:05:20,160 Speaker 1: other people might be. So do we also need to 97 00:05:20,240 --> 00:05:22,320 Speaker 1: talk about that? Is that a different document? How does 98 00:05:22,360 --> 00:05:22,880 Speaker 1: that work? 99 00:05:23,279 --> 00:05:25,599 Speaker 2: Depends on how you want to do it. Some people 100 00:05:25,600 --> 00:05:28,960 Speaker 2: put their voice and style guide within their briefing document. 101 00:05:29,600 --> 00:05:30,560 Speaker 2: Other people have it. 102 00:05:30,520 --> 00:05:34,159 Speaker 1: Separate and hang on what's a voice and style guide? 103 00:05:34,279 --> 00:05:39,000 Speaker 2: Okay, so first off, some tools have a voice and 104 00:05:39,040 --> 00:05:41,400 Speaker 2: style guide. So for example, Claude says, how do you 105 00:05:41,440 --> 00:05:42,880 Speaker 2: want to write this? Do you want to be friendly 106 00:05:42,920 --> 00:05:46,839 Speaker 2: and approachable? Or sometimes even the cloudical analyze your writing? 107 00:05:47,720 --> 00:05:51,120 Speaker 2: But what I recommend people do is you get AI 108 00:05:51,240 --> 00:05:55,120 Speaker 2: to analyze the way you write, to say, what's my voice? 109 00:05:55,120 --> 00:05:58,159 Speaker 2: What's my personality? How do I sound like? If you're bubbly? 110 00:05:58,240 --> 00:06:00,359 Speaker 2: Is a person then you kind of want bubble to 111 00:06:00,400 --> 00:06:03,320 Speaker 2: come through in your writing. Same thing with style, to 112 00:06:03,360 --> 00:06:05,919 Speaker 2: get it to analyze the style, so to use short, 113 00:06:05,920 --> 00:06:08,640 Speaker 2: punchy sentences. Are you like a Hemingway kind of person 114 00:06:09,360 --> 00:06:12,440 Speaker 2: or do you have a nice, long, rambly kind of sentences? 115 00:06:12,520 --> 00:06:14,960 Speaker 2: Do you use lots of metaphors and similars those kind 116 00:06:15,000 --> 00:06:17,760 Speaker 2: of things? So, if you get AI to analyze your writing, 117 00:06:18,279 --> 00:06:21,080 Speaker 2: it will then be able to use that analysis for 118 00:06:21,279 --> 00:06:24,440 Speaker 2: other pieces of writing you've got. So what you can 119 00:06:24,520 --> 00:06:27,520 Speaker 2: do is analyze the writing that'll have your voice and style, 120 00:06:27,920 --> 00:06:29,599 Speaker 2: so you can give that as well as all the 121 00:06:29,600 --> 00:06:31,880 Speaker 2: project briefing, like hey, this is what Amantha and I 122 00:06:31,920 --> 00:06:33,920 Speaker 2: do or this is what I do. So it's got 123 00:06:33,920 --> 00:06:37,600 Speaker 2: the business context or the relationship context or the project context. 124 00:06:37,920 --> 00:06:40,320 Speaker 2: Plus then it's got how you want to write. Whether 125 00:06:40,360 --> 00:06:42,440 Speaker 2: they're two documents or one doesn't really matter as long 126 00:06:42,480 --> 00:06:44,240 Speaker 2: as AI has both those things. 127 00:06:44,920 --> 00:06:49,279 Speaker 1: And so then with those documents, am I attaching those 128 00:06:49,480 --> 00:06:53,200 Speaker 1: every time I start a new thread in AI? Or 129 00:06:53,320 --> 00:06:58,520 Speaker 1: am I creating a GPT or a project? What is 130 00:06:58,560 --> 00:07:00,000 Speaker 1: the best way to set this up? 131 00:07:00,480 --> 00:07:02,680 Speaker 2: And this is one of the problems with AI. It's 132 00:07:02,760 --> 00:07:06,279 Speaker 2: not self evident. They make it as complicated as they can, 133 00:07:06,600 --> 00:07:08,680 Speaker 2: and each of them has a stupid different name. One's 134 00:07:08,680 --> 00:07:11,920 Speaker 2: an agent, one's a gem, one's a projector yeah, okay, 135 00:07:12,120 --> 00:07:15,440 Speaker 2: it is a problem. So what I do recommend you 136 00:07:15,480 --> 00:07:19,040 Speaker 2: do is create them as something that is reusable, and 137 00:07:19,240 --> 00:07:22,400 Speaker 2: depending upon your tool, your reusable one might have a 138 00:07:22,400 --> 00:07:26,240 Speaker 2: different name. So if you're in chat JPT or you're 139 00:07:26,280 --> 00:07:29,520 Speaker 2: in claude, I recommend a project and projects, you can 140 00:07:29,640 --> 00:07:33,000 Speaker 2: upload those documents and so that each new chat under 141 00:07:33,000 --> 00:07:36,120 Speaker 2: a project, it's already got those documents and so has 142 00:07:36,160 --> 00:07:39,080 Speaker 2: already read them and then can actually start talking turkey 143 00:07:39,280 --> 00:07:39,720 Speaker 2: And can. 144 00:07:39,640 --> 00:07:44,280 Speaker 1: I just ask why a project as opposed to a GPT. 145 00:07:46,240 --> 00:07:48,640 Speaker 2: You could do it in a GPT. There's no problems 146 00:07:48,680 --> 00:07:52,520 Speaker 2: with that. I like projects because each chat you have 147 00:07:52,760 --> 00:07:57,360 Speaker 2: with that project is associated with that project. So that's 148 00:07:57,400 --> 00:07:59,440 Speaker 2: one of the things I do like about the projects. 149 00:08:00,040 --> 00:08:02,600 Speaker 2: But you could absolutely create it as a GPT that 150 00:08:02,720 --> 00:08:07,200 Speaker 2: has your background and your voice within it, and you 151 00:08:07,320 --> 00:08:10,520 Speaker 2: then have that as a tool, and that's similarly what 152 00:08:10,560 --> 00:08:13,760 Speaker 2: you're going to do. If you're in Microsoft Land, then 153 00:08:13,800 --> 00:08:16,960 Speaker 2: you'll be using an agent, which is not like a project. 154 00:08:17,160 --> 00:08:19,880 Speaker 2: It's more like a GPT. It's more like a GEM 155 00:08:20,120 --> 00:08:22,880 Speaker 2: which is for Gemini. So, as I said, very confusing. 156 00:08:23,520 --> 00:08:25,840 Speaker 2: So if you're in the I'll go through the four. 157 00:08:26,120 --> 00:08:28,480 Speaker 2: If you're in Chlaude, create a project. If you're in 158 00:08:28,560 --> 00:08:31,200 Speaker 2: chat TOPT, create a project. You could create a GPT, 159 00:08:31,320 --> 00:08:35,800 Speaker 2: but i'd recommend project. If you're in copilot, you create 160 00:08:35,840 --> 00:08:37,840 Speaker 2: an agent. I think would be a great way to 161 00:08:37,880 --> 00:08:40,640 Speaker 2: do that. You could also create a notebook for that, 162 00:08:40,800 --> 00:08:43,600 Speaker 2: but i'd create an agent probably, And if you're in 163 00:08:43,640 --> 00:08:46,240 Speaker 2: the Google system, then i'd create a GEM. 164 00:08:46,600 --> 00:08:51,439 Speaker 1: Okay, And one note on copilot because I think you 165 00:08:52,120 --> 00:08:56,200 Speaker 1: mentioned you need to ask it to summarize the thread 166 00:08:56,360 --> 00:08:58,720 Speaker 1: first before you go into the agent, Can you just 167 00:08:58,760 --> 00:09:01,640 Speaker 1: briefly talk about what that workflow is in co pilot? 168 00:09:01,840 --> 00:09:06,160 Speaker 2: Yeah, for all of them, you need to give that background, 169 00:09:06,320 --> 00:09:09,320 Speaker 2: particularly about the conversation you're about to have. How do 170 00:09:09,360 --> 00:09:11,520 Speaker 2: you give it that background? Or you could You've got 171 00:09:11,520 --> 00:09:13,960 Speaker 2: to find that somewhere, either go to type it in 172 00:09:14,080 --> 00:09:17,480 Speaker 2: or you've got to ask some tool what the background 173 00:09:17,679 --> 00:09:20,840 Speaker 2: is for that relationship me and Amantha working on that 174 00:09:20,960 --> 00:09:23,960 Speaker 2: project X, that kind of stuff. If you're in copilot, 175 00:09:24,040 --> 00:09:27,000 Speaker 2: you can just say tell me about or summarize that. 176 00:09:27,040 --> 00:09:29,760 Speaker 2: The last emails that I've had between me and this 177 00:09:29,800 --> 00:09:32,440 Speaker 2: person about this topic, and it will then write that 178 00:09:32,559 --> 00:09:35,520 Speaker 2: down and then you can use that as additional context 179 00:09:35,640 --> 00:09:38,280 Speaker 2: to feed your AI, so then it doesn't just assume 180 00:09:38,400 --> 00:09:41,040 Speaker 2: things about your email, and it then knows what the 181 00:09:41,120 --> 00:09:42,960 Speaker 2: next step on that conversation is. 182 00:09:44,040 --> 00:09:46,600 Speaker 1: Maybe this is a stupid question. Should we be using 183 00:09:46,640 --> 00:09:49,800 Speaker 1: AI for every single email that we write? 184 00:09:49,960 --> 00:09:54,200 Speaker 2: Neo, no way on Earth for most of them. Like 185 00:09:54,240 --> 00:09:56,839 Speaker 2: if if it's a quick email, then it'll take way 186 00:09:56,960 --> 00:10:00,480 Speaker 2: too much time, so you don't need that. Use it 187 00:10:00,559 --> 00:10:03,040 Speaker 2: for ones where there's a little bit of nuance needed, 188 00:10:03,280 --> 00:10:07,400 Speaker 2: or perhaps there's where I need to have, like for example, 189 00:10:07,520 --> 00:10:12,240 Speaker 2: email introductions. I know that it's great to do introduction. 190 00:10:12,360 --> 00:10:14,839 Speaker 2: Hey June, I'd like to introduce you to Bob. Those 191 00:10:14,920 --> 00:10:18,680 Speaker 2: kind of emails. So getting AI to write those ones 192 00:10:18,760 --> 00:10:21,080 Speaker 2: is great because I find them hard to write because 193 00:10:21,160 --> 00:10:22,560 Speaker 2: you know, you've got to get them right and all 194 00:10:22,600 --> 00:10:25,840 Speaker 2: those kind of things. But most emails, i'd say probably 195 00:10:25,880 --> 00:10:28,640 Speaker 2: sixty percent of emails probably you don't need AI. They 196 00:10:28,760 --> 00:10:31,600 Speaker 2: just really transactional, functional ones. Yes, I'll get it done 197 00:10:31,600 --> 00:10:35,079 Speaker 2: by Tuesday. You don't need AI for that. But certainly 198 00:10:35,080 --> 00:10:37,840 Speaker 2: for other emails might be sales email, it might be 199 00:10:37,920 --> 00:10:42,520 Speaker 2: customers support email, people asking about your products and services. 200 00:10:42,840 --> 00:10:45,040 Speaker 2: Those emails are great to have in AI because you 201 00:10:45,080 --> 00:10:47,160 Speaker 2: can build in the background and context about your business 202 00:10:47,200 --> 00:10:48,800 Speaker 2: and all those kind of things, and then you can 203 00:10:48,880 --> 00:10:53,720 Speaker 2: answer questions using your AI. So those are brilliant for AI. 204 00:10:54,480 --> 00:10:56,920 Speaker 1: So let's just walk through just a few of those. 205 00:10:57,240 --> 00:11:03,440 Speaker 1: Where are the best use cases for using AI to 206 00:11:03,559 --> 00:11:04,760 Speaker 1: write your emails? 207 00:11:05,880 --> 00:11:10,080 Speaker 2: The easiest ones are the we'll call them the Rinston 208 00:11:10,160 --> 00:11:13,600 Speaker 2: repeat the We've done it plenty of times before. So 209 00:11:13,640 --> 00:11:16,360 Speaker 2: if you're in HR, you're going to get the same 210 00:11:16,440 --> 00:11:18,800 Speaker 2: kind of questions day in day out, which might be 211 00:11:20,640 --> 00:11:23,720 Speaker 2: how many weeks leave do we get? It might be 212 00:11:23,840 --> 00:11:26,520 Speaker 2: what are the t's and c's of our contracts and 213 00:11:26,559 --> 00:11:29,160 Speaker 2: those kind of things. So what you could do is 214 00:11:29,240 --> 00:11:31,720 Speaker 2: create a briefing document with all those kind of questions 215 00:11:31,720 --> 00:11:34,400 Speaker 2: and answers in it, and so then you just fitted 216 00:11:34,400 --> 00:11:37,640 Speaker 2: a question and then write that email for you with 217 00:11:37,720 --> 00:11:39,960 Speaker 2: those answers. So those ones are really good. Same thing 218 00:11:40,000 --> 00:11:43,360 Speaker 2: as I said before with sales answering questions about products 219 00:11:43,600 --> 00:11:46,880 Speaker 2: or services, those things are really good as well. Help 220 00:11:46,920 --> 00:11:50,040 Speaker 2: desk and support AI is amazing for that. So you're 221 00:11:50,040 --> 00:11:53,360 Speaker 2: then not formatting all these emails had a client who's 222 00:11:53,440 --> 00:11:57,000 Speaker 2: a hotel a while back, and being able to answer 223 00:11:57,080 --> 00:12:00,080 Speaker 2: questions about your hotel, how many rooms, what times the 224 00:12:00,120 --> 00:12:02,599 Speaker 2: paul is open, all those kind of things. AI is 225 00:12:02,640 --> 00:12:06,040 Speaker 2: amazing for writing those kind of things. For other things 226 00:12:06,120 --> 00:12:10,480 Speaker 2: like project updates and things like that, it's a little 227 00:12:10,480 --> 00:12:12,719 Speaker 2: harder because you need to make sure it's got that context, 228 00:12:12,960 --> 00:12:14,840 Speaker 2: so you might need to get it to search those 229 00:12:14,840 --> 00:12:17,480 Speaker 2: emails from Amantha and I for a project X and 230 00:12:17,520 --> 00:12:21,480 Speaker 2: things like that. But for those transactional day and day emails, 231 00:12:21,600 --> 00:12:25,679 Speaker 2: I highly recommend you using AI for that. With background 232 00:12:25,720 --> 00:12:28,040 Speaker 2: briefing which might have your products or services or things 233 00:12:28,080 --> 00:12:30,840 Speaker 2: like that, and also your voice and style so it 234 00:12:31,000 --> 00:12:33,400 Speaker 2: sounds like you when it gets out of the AI. 235 00:12:34,160 --> 00:12:38,160 Speaker 1: Thank you so much, Neo, so many great tips for 236 00:12:38,520 --> 00:12:41,920 Speaker 1: really getting the most out of AI when it comes 237 00:12:41,960 --> 00:12:42,960 Speaker 1: to email. 238 00:12:43,040 --> 00:12:45,840 Speaker 2: Thank you, Thank you so. 239 00:12:45,960 --> 00:12:48,600 Speaker 1: I Remember if you want to turn your AI into 240 00:12:48,640 --> 00:12:52,320 Speaker 1: your email assystem, just starts more. Create a briefing document 241 00:12:52,400 --> 00:12:56,040 Speaker 1: about your role and a simple writing style guide, and 242 00:12:56,080 --> 00:12:58,959 Speaker 1: then upload that into a project of your AI tool 243 00:12:59,040 --> 00:13:03,920 Speaker 1: of choice. That one simple step can transform your inbox 244 00:13:03,960 --> 00:13:08,520 Speaker 1: into something far less painful and if you're looking to 245 00:13:08,600 --> 00:13:12,199 Speaker 1: take your AI skills up to the next level. Inventium's 246 00:13:12,240 --> 00:13:16,560 Speaker 1: Genai productivity upgrade is kicking off on October fifteen, and 247 00:13:16,600 --> 00:13:19,319 Speaker 1: there is a link to more info and bookings in 248 00:13:19,360 --> 00:13:22,800 Speaker 1: the show notes. If you like today's show, make sure 249 00:13:22,880 --> 00:13:25,840 Speaker 1: you hit follow on your podcast app to be alerted 250 00:13:25,880 --> 00:13:29,360 Speaker 1: when new episodes drop. How I Work was recorded on 251 00:13:29,400 --> 00:13:31,959 Speaker 1: the traditional land of the Warrangery people, part of the 252 00:13:32,040 --> 00:13:34,640 Speaker 1: Cool And Nation. A big thank you to Martin Nimber 253 00:13:34,720 --> 00:13:35,920 Speaker 1: for doing the sound mix.