1 00:00:00,720 --> 00:00:03,280 Speaker 1: If job hunting is on your to do list for 2 00:00:03,440 --> 00:00:07,720 Speaker 1: this year, don't start without listening to this episode First. 3 00:00:08,200 --> 00:00:11,479 Speaker 1: Neo and I are breaking down how to use AI 4 00:00:11,600 --> 00:00:15,560 Speaker 1: tools to shortcut the most painful parts of job searching, 5 00:00:15,960 --> 00:00:19,240 Speaker 1: from finding roles that aren't even on LinkedIn or seek 6 00:00:19,440 --> 00:00:23,480 Speaker 1: to tailoring your CB and interview prep. We talk about 7 00:00:23,520 --> 00:00:27,920 Speaker 1: scheduled searches that quietly scan company job pages for you, 8 00:00:28,440 --> 00:00:31,800 Speaker 1: using AI to read annual reports and social chatter, and 9 00:00:31,920 --> 00:00:35,720 Speaker 1: why the best applications will start with your own words, 10 00:00:36,159 --> 00:00:46,200 Speaker 1: not a machines. Welcome to how IAI with me Doctor 11 00:00:46,200 --> 00:00:50,960 Speaker 1: Amantha Imber and Neo Applin, head of Inventium AI. Each 12 00:00:51,000 --> 00:00:54,240 Speaker 1: episode we share one practical way to use AI better 13 00:00:54,360 --> 00:00:58,120 Speaker 1: at work and in life. No fluff, no tech jargon, 14 00:00:58,480 --> 00:01:02,200 Speaker 1: just things you can use straight away. Nanao, I know 15 00:01:02,320 --> 00:01:05,840 Speaker 1: that you have recently helped a friend of yours find 16 00:01:06,000 --> 00:01:08,600 Speaker 1: a new job, and I want to talk through the 17 00:01:08,640 --> 00:01:12,960 Speaker 1: process that you helped her through using AI because I 18 00:01:13,000 --> 00:01:14,959 Speaker 1: think at this time of year there's a lot of 19 00:01:14,959 --> 00:01:18,200 Speaker 1: people that are maybe questioning their current job and you know, 20 00:01:18,240 --> 00:01:21,040 Speaker 1: perhaps thinking that this year is time for a change. 21 00:01:21,240 --> 00:01:26,640 Speaker 1: So let's start with finding what jobs are out there. 22 00:01:26,800 --> 00:01:28,959 Speaker 1: How can AI help with this and. 23 00:01:28,880 --> 00:01:30,520 Speaker 2: Really pertinent to this time of the year because the 24 00:01:30,560 --> 00:01:33,280 Speaker 2: job ads are starting to come back again after January, 25 00:01:33,360 --> 00:01:36,440 Speaker 2: so this is great. So LinkedIn and see can all 26 00:01:36,480 --> 00:01:39,479 Speaker 2: the other places the Granddaddy's people do put their job 27 00:01:39,480 --> 00:01:43,520 Speaker 2: ads up there. AI can't script them better than LinkedIn 28 00:01:43,640 --> 00:01:47,080 Speaker 2: can do. But where AI can help with the finding 29 00:01:47,120 --> 00:01:50,040 Speaker 2: of jobs is some companies don't actually publish their job 30 00:01:50,080 --> 00:01:52,600 Speaker 2: ads to LinkedIn. The costs are fair bit to cash 31 00:01:52,880 --> 00:01:55,400 Speaker 2: and it also costs them, believe it or not, each 32 00:01:55,440 --> 00:01:57,640 Speaker 2: time someone applies for it or how long it's up for. 33 00:01:58,000 --> 00:02:00,920 Speaker 2: So some companies are just too small to niche or 34 00:02:00,920 --> 00:02:03,800 Speaker 2: they don't need to apply put their jobs on LinkedIn. 35 00:02:03,840 --> 00:02:06,920 Speaker 2: So what you can do is run a daily search. 36 00:02:07,880 --> 00:02:10,239 Speaker 2: So in some of the tools like Copilot, Chat topt, 37 00:02:10,760 --> 00:02:13,000 Speaker 2: you can say each day, I want you to schedule 38 00:02:13,080 --> 00:02:15,800 Speaker 2: this prompt to do the thing. And the problem might 39 00:02:15,840 --> 00:02:18,120 Speaker 2: be I want you to look at these ten companies 40 00:02:18,120 --> 00:02:21,560 Speaker 2: I really like, look at their job is their job 41 00:02:21,600 --> 00:02:25,119 Speaker 2: pages and if there's a job for a marketing lead 42 00:02:25,240 --> 00:02:29,440 Speaker 2: or whatever you are, then send me, give me a 43 00:02:29,440 --> 00:02:31,240 Speaker 2: report on this and they can actually do that every 44 00:02:31,320 --> 00:02:33,560 Speaker 2: day and send you an email with that little mini 45 00:02:33,639 --> 00:02:35,799 Speaker 2: report in it, so it'll help you to find those 46 00:02:35,880 --> 00:02:38,680 Speaker 2: hidden jobs in the hidden job market and help you 47 00:02:38,720 --> 00:02:40,600 Speaker 2: to follow those things rather than you doing that work 48 00:02:40,840 --> 00:02:44,880 Speaker 2: every single damn day. So scheduled prompts are awesome for that. 49 00:02:45,880 --> 00:02:50,120 Speaker 1: Okay, So once we found a job that we're thinking 50 00:02:50,120 --> 00:02:52,480 Speaker 1: that we want to apply for, or maybe a company 51 00:02:52,480 --> 00:02:55,160 Speaker 1: that we want to work for, how can we use 52 00:02:55,240 --> 00:02:59,440 Speaker 1: AI to really get to know what we're you know, 53 00:03:00,080 --> 00:03:02,600 Speaker 1: potentially getting ourselves into how do we get to know 54 00:03:02,680 --> 00:03:03,160 Speaker 1: the company? 55 00:03:04,400 --> 00:03:07,800 Speaker 2: Industry research is awesome for that, So you can just 56 00:03:07,840 --> 00:03:11,560 Speaker 2: do this to learn about the company in general. So look, 57 00:03:11,600 --> 00:03:13,239 Speaker 2: tell me about the company, what have they've done last 58 00:03:13,240 --> 00:03:15,200 Speaker 2: couple of years? So that's one of one type stuff. 59 00:03:15,240 --> 00:03:17,360 Speaker 2: But if you want to go deeper, do things like 60 00:03:17,600 --> 00:03:20,720 Speaker 2: grab their annual report, drop that into AI and ask 61 00:03:20,760 --> 00:03:22,960 Speaker 2: it questions about it. Where are they going, what are 62 00:03:23,000 --> 00:03:25,960 Speaker 2: their problems, where they're challenges those kind of things. You 63 00:03:26,000 --> 00:03:28,840 Speaker 2: can also get AI to search the Internet on that 64 00:03:28,960 --> 00:03:32,320 Speaker 2: company for that department. So if you're going into the 65 00:03:32,680 --> 00:03:36,880 Speaker 2: I don't know, the mobile telephone section of a telco, 66 00:03:37,200 --> 00:03:40,320 Speaker 2: then let's see what the mobile telephone section is doing. 67 00:03:40,360 --> 00:03:42,840 Speaker 2: Those kind of things, So go deep into the research 68 00:03:42,880 --> 00:03:44,920 Speaker 2: to understand what the company is doing, whether they're doing 69 00:03:44,920 --> 00:03:47,640 Speaker 2: well or badly, or where their new growth areas are, 70 00:03:48,080 --> 00:03:50,920 Speaker 2: or whether they're cutting back on staff. Those kind of things. 71 00:03:50,920 --> 00:03:52,880 Speaker 2: You can find that out using AI to do all 72 00:03:52,920 --> 00:03:56,720 Speaker 2: that research for you. Perplexity is awesome also an awesome 73 00:03:56,760 --> 00:03:57,920 Speaker 2: tool for that job as well. 74 00:03:58,640 --> 00:04:01,160 Speaker 1: Now, I imagine that a lot of the research that 75 00:04:01,200 --> 00:04:04,000 Speaker 1: companies are not talking about things that are being said 76 00:04:04,160 --> 00:04:07,920 Speaker 1: on social media channels like you know, I'm thinking about 77 00:04:07,960 --> 00:04:11,760 Speaker 1: places like Reddit for example, but also glassdoor reviews. How 78 00:04:11,800 --> 00:04:15,800 Speaker 1: would you prompt and I assume you use perplexity for this, 79 00:04:16,040 --> 00:04:18,200 Speaker 1: how would you prompt it to find out what are 80 00:04:18,240 --> 00:04:21,520 Speaker 1: the things that employees and ex employees are saying about 81 00:04:21,560 --> 00:04:24,280 Speaker 1: a company but is perhaps not going to be, you know, 82 00:04:24,400 --> 00:04:26,440 Speaker 1: on their company web page. 83 00:04:26,480 --> 00:04:30,240 Speaker 2: This is something you can do for larger companies. Generally, 84 00:04:30,240 --> 00:04:32,840 Speaker 2: smaller companies a bit harder to find those reviews because 85 00:04:32,839 --> 00:04:35,160 Speaker 2: that wouldn't probably be on Reddit for your local corn 86 00:04:35,200 --> 00:04:38,159 Speaker 2: store or whatever. But for larger companies, yeah, you can 87 00:04:38,200 --> 00:04:43,000 Speaker 2: actually get Perplexity to search social sources. So that'll go 88 00:04:43,120 --> 00:04:46,000 Speaker 2: for Twitter, slash x, or to go for Reddit and 89 00:04:46,040 --> 00:04:49,440 Speaker 2: those kinds of things. Unfortunately, Glassdoor from what I understand, 90 00:04:49,560 --> 00:04:51,599 Speaker 2: most of the stuff is behind you log in to 91 00:04:51,640 --> 00:04:53,960 Speaker 2: be able to get to the glass door reviews. So 92 00:04:54,000 --> 00:04:55,840 Speaker 2: I'm not sure how good AI is going to be 93 00:04:55,880 --> 00:04:58,840 Speaker 2: at about looking at class door things, but it's a 94 00:04:58,920 --> 00:05:01,839 Speaker 2: good start to find out what people are saying about 95 00:05:01,839 --> 00:05:02,440 Speaker 2: that company. 96 00:05:03,200 --> 00:05:06,200 Speaker 1: And so you mentioned on Perplexity you can just search 97 00:05:06,600 --> 00:05:10,240 Speaker 1: the socials. How do you actually do that in Perplexity. 98 00:05:11,520 --> 00:05:13,920 Speaker 2: Yeah, there's a little button on the home screen. I've 99 00:05:13,960 --> 00:05:16,000 Speaker 2: just got to tell you what it looks like. There's 100 00:05:16,040 --> 00:05:19,360 Speaker 2: a little globe button on the home screen on Perplexity, 101 00:05:19,480 --> 00:05:21,560 Speaker 2: and it's you can pick the sources there, so you 102 00:05:21,600 --> 00:05:23,840 Speaker 2: can say, I want to search the web or social 103 00:05:23,880 --> 00:05:26,320 Speaker 2: stuff for if you want to look at finance stuff 104 00:05:26,320 --> 00:05:28,080 Speaker 2: where there's other bits and pieces as well. So you 105 00:05:28,080 --> 00:05:30,359 Speaker 2: can just say I want social sources. I want to 106 00:05:30,440 --> 00:05:32,720 Speaker 2: get the finger on the pulse of what people are saying. 107 00:05:32,960 --> 00:05:34,880 Speaker 2: Don't care about Google ly kind of stuff. I just 108 00:05:34,920 --> 00:05:37,840 Speaker 2: care about the social sources and learn just search those 109 00:05:37,839 --> 00:05:38,080 Speaker 2: for you. 110 00:05:38,880 --> 00:05:41,120 Speaker 1: Now, it's one thing knowing about the company, but it's 111 00:05:41,160 --> 00:05:44,200 Speaker 1: another really understanding the job, because a lot of the 112 00:05:44,240 --> 00:05:48,120 Speaker 1: time I find, like you know, when I've had friends 113 00:05:48,120 --> 00:05:50,280 Speaker 1: applying for jobs, job, like the same job in a 114 00:05:50,279 --> 00:05:53,360 Speaker 1: different company can have a different title, or sometimes you 115 00:05:53,400 --> 00:05:56,560 Speaker 1: want to change jobs or you know, make a kind 116 00:05:56,560 --> 00:05:59,680 Speaker 1: of adjacent move. So how can we use AI to 117 00:05:59,760 --> 00:06:04,360 Speaker 1: really do understand what actually is this job being advertised? 118 00:06:06,120 --> 00:06:08,160 Speaker 2: And the other problem is that some industries will use 119 00:06:08,160 --> 00:06:11,240 Speaker 2: different words for the same thing, or you don't understand 120 00:06:11,240 --> 00:06:13,240 Speaker 2: what that is because you maybe you haven't worked in 121 00:06:13,320 --> 00:06:15,919 Speaker 2: medical before and so they'll use different terms you haven't 122 00:06:15,960 --> 00:06:18,360 Speaker 2: been used to. So you get the job add and 123 00:06:18,360 --> 00:06:20,600 Speaker 2: give that to AI and get it to explain anything 124 00:06:20,600 --> 00:06:23,480 Speaker 2: you don't understand to you, and then ask questions like 125 00:06:23,800 --> 00:06:27,040 Speaker 2: day to day, what does this role do? Because you 126 00:06:27,120 --> 00:06:29,159 Speaker 2: might want to be added a product manager and that 127 00:06:29,240 --> 00:06:31,800 Speaker 2: might sound really cool and sexy, but when you're putting 128 00:06:31,880 --> 00:06:35,240 Speaker 2: the job ad it might actually be something you may 129 00:06:35,279 --> 00:06:37,600 Speaker 2: not want to do day to day. Like you might 130 00:06:37,640 --> 00:06:39,560 Speaker 2: say it's it's highly agile. You might say that's great, 131 00:06:39,560 --> 00:06:41,600 Speaker 2: I don't really agile, but it might be oh no, no, 132 00:06:41,640 --> 00:06:43,640 Speaker 2: they all have stand ups and all those kind of things, 133 00:06:43,640 --> 00:06:45,320 Speaker 2: and that may not be the kind of flavor you 134 00:06:45,360 --> 00:06:47,719 Speaker 2: want to work in. So get the job, ad get 135 00:06:47,720 --> 00:06:49,760 Speaker 2: it to AI and say what's the day in the 136 00:06:49,839 --> 00:06:52,599 Speaker 2: life going to be like, what does that part of 137 00:06:52,640 --> 00:06:55,520 Speaker 2: the role mean? Explain it to you? Or I'm coming 138 00:06:55,520 --> 00:06:57,599 Speaker 2: from this particular industry, how would that relate to me? 139 00:06:57,640 --> 00:06:59,240 Speaker 2: How do I get that? It's a good way for 140 00:06:59,279 --> 00:07:01,400 Speaker 2: you to kind of get up to speed with what 141 00:07:01,640 --> 00:07:04,520 Speaker 2: their language is and what they are saying about that job. 142 00:07:05,960 --> 00:07:09,159 Speaker 1: Now, the next part of the job search process is 143 00:07:09,200 --> 00:07:14,240 Speaker 1: actually applying for the job, and I hear from recruiters 144 00:07:14,360 --> 00:07:19,800 Speaker 1: that everyone, almost everyone is using AI to create their 145 00:07:19,840 --> 00:07:23,800 Speaker 1: cover letter, do their resume A that's pretty standard. But 146 00:07:24,000 --> 00:07:28,400 Speaker 1: I want to know, Neo, if you AI expert were 147 00:07:28,640 --> 00:07:32,240 Speaker 1: applying for a job, how would you use AI differently 148 00:07:32,480 --> 00:07:35,240 Speaker 1: to create a better cover letter that stands out or 149 00:07:35,240 --> 00:07:37,720 Speaker 1: something else in your job application that really makes you 150 00:07:37,800 --> 00:07:38,720 Speaker 1: stand out. 151 00:07:39,520 --> 00:07:41,880 Speaker 2: The principles are pretty much the same as most of 152 00:07:41,880 --> 00:07:45,480 Speaker 2: my advice for writing, which is, I don't get AI 153 00:07:45,600 --> 00:07:47,960 Speaker 2: to do all the writing for me because it's going 154 00:07:48,040 --> 00:07:51,000 Speaker 2: to sound like Neo. So first off, I'll work with 155 00:07:51,040 --> 00:07:53,200 Speaker 2: AI on what do I want to say? Is that 156 00:07:53,280 --> 00:07:54,880 Speaker 2: a good thing to say? So I'll get a collect 157 00:07:55,040 --> 00:07:58,680 Speaker 2: a workshop what I'm planning on saying with AI and 158 00:07:58,680 --> 00:08:02,600 Speaker 2: see if it can prove my ideas. Then I'll write 159 00:08:02,640 --> 00:08:05,680 Speaker 2: it me, and then I'll get AI to review it 160 00:08:05,720 --> 00:08:06,920 Speaker 2: and check it and see if you can improve it, 161 00:08:06,960 --> 00:08:09,360 Speaker 2: because then it's still got my flavor, it's got my words, 162 00:08:09,400 --> 00:08:11,960 Speaker 2: it's got my heart and soul in it. Yes, I've 163 00:08:12,000 --> 00:08:14,120 Speaker 2: ide eated with AI and I've got it to correct 164 00:08:14,160 --> 00:08:18,080 Speaker 2: me at the end. But the human side, I've done me, 165 00:08:18,600 --> 00:08:20,360 Speaker 2: not AI. And this would a lot of people get 166 00:08:20,400 --> 00:08:22,320 Speaker 2: tripped up because other't than if you're getting AI to 167 00:08:22,560 --> 00:08:24,200 Speaker 2: write the cover letter by saying here's a job, AD, 168 00:08:24,240 --> 00:08:26,880 Speaker 2: write the cover letter. It's going to look like eight. 169 00:08:27,040 --> 00:08:30,920 Speaker 2: AI's written it, and then b like everyone else's cover 170 00:08:31,000 --> 00:08:34,800 Speaker 2: letter and recruiters. I've spoken to a few. They can 171 00:08:34,840 --> 00:08:37,880 Speaker 2: see them a mile away whether they're AI written or 172 00:08:37,880 --> 00:08:40,319 Speaker 2: there's a human behind it. So be one of the 173 00:08:40,360 --> 00:08:42,760 Speaker 2: humans behind it by writing it yourself. Yes, ID eight 174 00:08:42,800 --> 00:08:44,679 Speaker 2: with AI and get it to correct your stuff and 175 00:08:44,679 --> 00:08:46,319 Speaker 2: see if you can improve it. But you do the 176 00:08:46,360 --> 00:08:49,160 Speaker 2: bit in the middle, which is the actual writing. Okay, 177 00:08:49,200 --> 00:08:52,840 Speaker 2: with that said, that's the cover letter. The other challenge 178 00:08:52,840 --> 00:08:56,839 Speaker 2: you've got is writing making sure your CV fits that 179 00:08:57,080 --> 00:09:01,760 Speaker 2: job AD. Now, I'm definitely not saying lie in your CV. 180 00:09:02,240 --> 00:09:05,319 Speaker 2: What I'm saying is highlight the things that you've done 181 00:09:06,000 --> 00:09:08,880 Speaker 2: that relate better to that job AD, and so how 182 00:09:08,920 --> 00:09:14,000 Speaker 2: do you do that? Well, we've actually produced an agent 183 00:09:14,040 --> 00:09:16,400 Speaker 2: a GPT. I've got the code on there that I'm 184 00:09:16,400 --> 00:09:19,160 Speaker 2: happy to share with people, and so what you can 185 00:09:19,200 --> 00:09:21,800 Speaker 2: do is you can give AI the job ad and 186 00:09:21,800 --> 00:09:24,160 Speaker 2: you can also give it your current CV and say, 187 00:09:24,160 --> 00:09:27,800 Speaker 2: please compare these things, and it'll do things like compare 188 00:09:27,880 --> 00:09:30,200 Speaker 2: where maybe there's something in the job ad that you 189 00:09:30,240 --> 00:09:32,440 Speaker 2: don't have in your CV, or there's something that it 190 00:09:32,520 --> 00:09:34,800 Speaker 2: thinks might be in the CV, but maybe you haven't 191 00:09:34,800 --> 00:09:37,040 Speaker 2: really brought it up as strongly as you could within 192 00:09:37,080 --> 00:09:39,839 Speaker 2: the CV. So it'll show you potentially where your gaps are, 193 00:09:39,840 --> 00:09:42,199 Speaker 2: but also show you where you can enhance your CV, 194 00:09:43,360 --> 00:09:45,160 Speaker 2: so you can actually talk about the things you've done 195 00:09:45,160 --> 00:09:47,840 Speaker 2: in a way that will look better for that particular industry, 196 00:09:47,960 --> 00:09:50,920 Speaker 2: that particular role. So yeah, AI can certainly help you 197 00:09:50,960 --> 00:09:52,600 Speaker 2: with that. I'm not a fan of getting AI to 198 00:09:52,640 --> 00:09:54,960 Speaker 2: write your CV, but I'm getting a big fan of 199 00:09:55,000 --> 00:09:57,080 Speaker 2: AI to critique it and tell you where you can 200 00:09:57,160 --> 00:09:58,199 Speaker 2: improve it yourself. 201 00:09:58,640 --> 00:10:02,040 Speaker 1: Okay, so this GPT, you have very kindly offered that 202 00:10:02,080 --> 00:10:05,760 Speaker 1: to listeners, so we will put a link in the 203 00:10:05,800 --> 00:10:08,520 Speaker 1: show notes if you do want to access that, we 204 00:10:08,559 --> 00:10:11,520 Speaker 1: are very happy to share the code so that you 205 00:10:11,520 --> 00:10:16,240 Speaker 1: can essentially paste that into your own GPT or agent 206 00:10:16,320 --> 00:10:18,319 Speaker 1: if you're using co Pilot. 207 00:10:18,440 --> 00:10:22,040 Speaker 2: Or projecting Claude or gem in Gemini, all of those things. 208 00:10:22,280 --> 00:10:28,040 Speaker 1: So many terms, so many terms for creating agents or jpts. Now, 209 00:10:29,040 --> 00:10:33,240 Speaker 1: how about like when we've hopefully been shortlisted for the job, 210 00:10:34,640 --> 00:10:39,520 Speaker 1: like how can we use AI to prepare for those 211 00:10:40,120 --> 00:10:42,160 Speaker 1: you know, often many rounds of interviews. 212 00:10:43,800 --> 00:10:46,360 Speaker 2: So of course you're awesome, of course you've got shortlisted 213 00:10:46,440 --> 00:10:49,760 Speaker 2: for that job. You've got your first interview. That's great, congratulations, 214 00:10:50,400 --> 00:10:52,000 Speaker 2: But you need to be prepared for the kind of 215 00:10:52,040 --> 00:10:53,840 Speaker 2: questions they're going to ask. So what you can do 216 00:10:53,920 --> 00:10:56,440 Speaker 2: is work with AI to get it to help you 217 00:10:56,520 --> 00:10:58,559 Speaker 2: with that interview preparation. You can do that a really 218 00:10:58,559 --> 00:11:01,680 Speaker 2: a couple of ways. It's really really fun and easy. 219 00:11:02,080 --> 00:11:06,160 Speaker 2: So hand AI all your research you've done on the company, 220 00:11:06,200 --> 00:11:07,800 Speaker 2: or get it to do the research on the company. 221 00:11:09,080 --> 00:11:11,560 Speaker 2: Hand it the job ad or anything else they've given 222 00:11:11,600 --> 00:11:14,000 Speaker 2: you about that role. So then AI knows about the company, 223 00:11:14,120 --> 00:11:16,040 Speaker 2: it knows about the role that you're applying for. So 224 00:11:16,080 --> 00:11:19,840 Speaker 2: that's key, that's core context. That AI needs. With that, 225 00:11:19,880 --> 00:11:22,319 Speaker 2: you can then tell it which round of interview you're 226 00:11:22,320 --> 00:11:24,199 Speaker 2: doing and anything you know about that round. So it 227 00:11:24,280 --> 00:11:26,320 Speaker 2: might be first rounds of meet and great. Okay, So 228 00:11:26,320 --> 00:11:28,319 Speaker 2: they're probably not going to get you to do, say, 229 00:11:28,320 --> 00:11:30,240 Speaker 2: if you're a developer, they won't get you do a 230 00:11:30,280 --> 00:11:33,120 Speaker 2: coding test, or if you're a copywriter, they may not 231 00:11:33,160 --> 00:11:35,440 Speaker 2: get you to copyright something. At that stage, it might 232 00:11:35,480 --> 00:11:37,920 Speaker 2: be more cultural than chats kind of thing. So tell 233 00:11:37,960 --> 00:11:39,840 Speaker 2: it the round of interview you've got, give it all 234 00:11:39,840 --> 00:11:42,160 Speaker 2: that background, and then get it to come up with 235 00:11:42,240 --> 00:11:44,559 Speaker 2: some questions that you might be asked of you in 236 00:11:44,720 --> 00:11:48,000 Speaker 2: that interview. So that's sep. Number one. So you've got 237 00:11:48,000 --> 00:11:51,600 Speaker 2: the questions. You can then practice those yourself. Second thing 238 00:11:51,720 --> 00:11:54,720 Speaker 2: is you can even get AI to actually ask you 239 00:11:54,800 --> 00:11:57,959 Speaker 2: those questions. You can answer those questions, and you can 240 00:11:57,960 --> 00:11:59,959 Speaker 2: even do that using the dictate mode or the advance 241 00:12:00,040 --> 00:12:02,400 Speaker 2: sports modes. You can actually talk to AI like you're 242 00:12:02,440 --> 00:12:05,560 Speaker 2: practicing your interview things. Then you can get it to 243 00:12:05,600 --> 00:12:08,520 Speaker 2: critique how you went on those answers to those questions. 244 00:12:08,640 --> 00:12:11,800 Speaker 2: So is it as good as having the actual human there, 245 00:12:11,800 --> 00:12:15,040 Speaker 2: of course not, But is it better having some practice 246 00:12:15,240 --> 00:12:15,839 Speaker 2: some prep? 247 00:12:16,080 --> 00:12:16,280 Speaker 1: Hell? 248 00:12:16,320 --> 00:12:18,640 Speaker 2: Yeah, it's really good for that. So get it to 249 00:12:18,640 --> 00:12:20,679 Speaker 2: come up with the questions for you, and even get 250 00:12:20,679 --> 00:12:23,160 Speaker 2: it to practice that interview where you can even talk 251 00:12:23,200 --> 00:12:24,959 Speaker 2: to it and they'll give you the advice on how 252 00:12:25,000 --> 00:12:26,720 Speaker 2: you went. And maybe you can practice that a couple 253 00:12:26,760 --> 00:12:28,160 Speaker 2: of times and it's not going to get sick of you. 254 00:12:28,280 --> 00:12:29,840 Speaker 2: It's not going to get bored of you. It's going 255 00:12:29,920 --> 00:12:32,240 Speaker 2: to be quite happily playing around with those questions for 256 00:12:32,280 --> 00:12:33,760 Speaker 2: as many times as you want. So you do that 257 00:12:33,800 --> 00:12:36,600 Speaker 2: for each of the different interview rounds, because each of 258 00:12:36,640 --> 00:12:40,640 Speaker 2: them goes in different avenues. Some interviews might be like 259 00:12:40,679 --> 00:12:43,240 Speaker 2: a challenge question with like how many grains of rice 260 00:12:43,280 --> 00:12:45,520 Speaker 2: could you fit at a football field? And weird questions 261 00:12:45,559 --> 00:12:47,320 Speaker 2: like that, so you can get them to give you 262 00:12:47,320 --> 00:12:48,760 Speaker 2: those kind of prep questions as well. 263 00:12:49,640 --> 00:12:52,480 Speaker 1: Amazing. Now, there's so many more things that we could 264 00:12:52,480 --> 00:12:55,040 Speaker 1: talk about around using AI to find a job, such 265 00:12:55,040 --> 00:12:57,280 Speaker 1: as how do you negotiate a great salary when you 266 00:12:57,360 --> 00:12:59,720 Speaker 1: have been offered the job? But I reckon THEO. Let's 267 00:12:59,720 --> 00:13:03,679 Speaker 1: save that for a future episode. And we love hearing 268 00:13:03,679 --> 00:13:05,920 Speaker 1: from listeners. So if there is something that you want 269 00:13:06,000 --> 00:13:09,440 Speaker 1: us to cover on how IAI, maybe you want us 270 00:13:09,440 --> 00:13:11,839 Speaker 1: to go deeper into how to find a new job 271 00:13:11,920 --> 00:13:13,480 Speaker 1: or one of the things we've spoken about, or something 272 00:13:13,559 --> 00:13:17,200 Speaker 1: completely different. There is an email address in the show 273 00:13:17,240 --> 00:13:20,280 Speaker 1: notes to reach out and tell us your thoughts. Thank 274 00:13:20,320 --> 00:13:23,640 Speaker 1: you Neo for helping our listeners get some tips. I'm 275 00:13:23,679 --> 00:13:25,560 Speaker 1: finding a job using AI. 276 00:13:26,160 --> 00:13:26,800 Speaker 2: Thanks Ametha. 277 00:13:27,400 --> 00:13:30,280 Speaker 1: If you found this useful, please help us spread the 278 00:13:30,400 --> 00:13:32,880 Speaker 1: AI love and share it with someone who you think 279 00:13:32,920 --> 00:13:36,360 Speaker 1: would benefit from knowing what you now know. And if 280 00:13:36,360 --> 00:13:40,199 Speaker 1: you're ready to really start mastering AI, check out inventium 281 00:13:40,280 --> 00:13:45,320 Speaker 1: dot AI. We help individuals, teams, and organizations turn Jenai 282 00:13:45,440 --> 00:13:49,560 Speaker 1: into a real work superpower, saving ten plus hours a 283 00:13:49,600 --> 00:13:53,120 Speaker 1: week and staying future ready without the jargon or overwhelmed. 284 00:13:53,440 --> 00:13:55,440 Speaker 1: Thanks so much for listening and we'll see you next 285 00:13:55,440 --> 00:14:00,600 Speaker 1: time on how IAI. How IAI was hosted by Amantha 286 00:14:00,640 --> 00:14:03,400 Speaker 1: Imba and Neo appland Are big thank you to Martin 287 00:14:03,440 --> 00:14:06,520 Speaker 1: Imba who does our sound editing, and Jim Rubio for 288 00:14:06,720 --> 00:14:10,160 Speaker 1: production support, and thank you to John Kilby who composed 289 00:14:10,240 --> 00:14:11,000 Speaker 1: the theme music.