Speaker 1: At nine am on a Tuesday and you're working on
Speaker 1: an important project and decide to use Jenai for some help.
Speaker 1: But what if I told you that relying on just
Speaker 1: one Jenai is like asking just one single expert for
Speaker 1: advice when you can have an entire panel of specialists.
Speaker 1: For the last two years, I've been using jeni daily,
Speaker 1: and one of the biggest game changes has been treating
Speaker 1: AI like a think tank rather than a single assistant.
Speaker 1: Different AI models have unique strengths, and by strategically combining them,
Speaker 1: you can dramatically enhance the quality of your work. And
Speaker 1: that's what today's episode is all about. I am joined
Speaker 1: by Inventium's resident AI expert, Neo Afflin to unpack how
Speaker 1: you can leave ridge multiple Genai tools to turn them
Speaker 1: into your personal advisory board. So whether you're writing, strategizing,
Speaker 1: or problem solving, this approach could completely transform the way
Speaker 1: you use Genai. Just quickly before we get into today's episode,
Speaker 1: if you want to go DeFi and learn how to
Speaker 1: work with AI instead of worrying about being replaced by it,
Speaker 1: I have something that I think you will love, but
Speaker 1: my consultancy you invent him. We've created the Jenai productivity system.
Speaker 1: It's a self paced online course designed to help you
Speaker 1: boost productivity and save literally hours every week by using
Speaker 1: Jenai a whole lot smarter. In just a few hours,
Speaker 1: you'll go from Jenai dabbler to Jenai expert with practical
Speaker 1: tools you can start using immediately. Head to inventium dot
Speaker 1: com dot au forward slash Jnai to check it out
Speaker 1: and get started today. Welcome to How I Work, a
Speaker 1: show about habits, rituals, and strategies for optimizing your day.
Speaker 1: I'm your host, doctor Amantha imber So. A lot of
Speaker 1: people out there just rely on one NAI tool like
Speaker 1: Copilot or chat GPT. I'm curious as to why you
Speaker 1: think that might actually limit the results that someone is
Speaker 1: getting from the Genai.
Speaker 2: The first thing I'd say to that is the Genais
Speaker 2: are brilliant, and you're getting great results out of a
Speaker 2: lot of these different Genais. So take this as a
Speaker 2: next level thing. But you'll find that each of the
Speaker 2: Ai tools have their own abilities, and some of them
Speaker 2: are better at certain things than others, and so using
Speaker 2: more than one Genai tool will give you more than
Speaker 2: one perspective.
Speaker 1: I know that something that you do a lot of
Speaker 1: is using multiple genais as a feedback loop. Can you
Speaker 1: tell me a bit more about what you're doing here.
Speaker 2: When I'm writing something, or I'm doing deep analysis, or
Speaker 2: I'm working with a client on something, then I want
Speaker 2: to get the best result. And so what I'm doing
Speaker 2: is I'm working deeply with one GENAI to get one perspective,
Speaker 2: and generally it's more about industry knowledge or structure or
Speaker 2: problem solving or which things could be included. And then
Speaker 2: I'll do exactly the same work on a completely different GENAI.
Speaker 2: So I might use chat GPT for one of them,
Speaker 2: and then I'll go to Claude and do the same
Speaker 2: amount of work on Claude and get Claude's perspective. And
Speaker 2: what I'll find is Claude will come up with things
Speaker 2: that chat TIPT may not.
Speaker 1: Do you remember what inspired you to take this approach
Speaker 1: in the first place.
Speaker 2: Maybe it's because I'm a bit of a GENAI geek
Speaker 2: and I want to just try all the different genis.
Speaker 2: But what I found is that going to each of
Speaker 2: them gives me a different perspective, not just on knowledge.
Speaker 2: By the way, I will say this on language. Going
Speaker 2: to one, from one to the other, you might find
Speaker 2: better ways to phrase a sentence or phrase a paragraph,
Speaker 2: So it's same principles apply even with writing.
Speaker 1: It's great. I've heard you compare using multiple genais to
Speaker 1: having a room full of expert consultants. Could you just
Speaker 1: expand on what you mean by that.
Speaker 2: Yeah, it's almost like having two rooms. Like you've got
Speaker 2: one room of consultants because you've got to CHATCHAPT and
Speaker 2: then get a completely different room of consultants with Claude
Speaker 2: or with Gemini or any of the others, because they've
Speaker 2: got different ways that they've absorbed their knowledge and different
Speaker 2: ways that they kind of work through that knowledge. So
Speaker 2: you get two different sets of opinions back, which I love.
Speaker 1: Now. I've heard you say that different GENAI models have
Speaker 1: different strengths and weaknesses, and I imagine that people listening
Speaker 1: have their favorite, or they go to one or maybe
Speaker 1: the one the only one that they're not blocked from
Speaker 1: using at their workplace. I would love to know if
Speaker 1: you could briefly break down with the major genais that
Speaker 1: people are using, which what like, what are the things
Speaker 1: that each one is particularly good at.
Speaker 2: So let's start with a big granddaddy CHATCHPT, which is
Speaker 2: great for analysis logic general, it's an awesome everyday workhorse,
Speaker 2: fantastic for that. It's also got very good logic tools
Speaker 2: if you want to use the one and the three models.
Speaker 2: So if you need analysis and maths and stuff like that,
Speaker 2: brilliant for that. If you're a writer, go for Claude.
Speaker 2: Claude just out of the box, sounds a lot more
Speaker 2: like a human than an AI and I'm particularly impressed
Speaker 2: what they do on safety as well. So with writing,
Speaker 2: they're just great. Also with coding, it does coding and
Speaker 2: development problems a lot better than others. Gemini, I've got
Speaker 2: to say, is really impressed me. They've come up with
Speaker 2: a Google Gemini. They've come up with a lot more,
Speaker 2: more tools, better, better models. It's not perfect yet, but
Speaker 2: don't discount googling this one. This race is going to
Speaker 2: be hotly contested and Google's going to be up there
Speaker 2: with everyone. So have a play with that at the
Speaker 2: moment that it's free, so definitely jump in and have
Speaker 2: a dive. Copilot is excellent for the workforce. I personally
Speaker 2: don't find it as user friendly as chat GPT, but
Speaker 2: the way it locks down for your workforce is And
Speaker 2: then do have a play with the others as well.
Speaker 2: They're also good fun.
Speaker 1: Okay, so can you walk me through a real world
Speaker 1: example of using multiple genais to improve a piece of work?
Speaker 1: And I'm thinking, let's say I do a lot of
Speaker 1: business development work and part of my role, so creating
Speaker 1: a sales proposal is something that I do a lot of.
Speaker 1: So how would you recommend that I do that better?
Speaker 2: Yeah? I do it in two chunks. One is the
Speaker 2: structure and pitch and what you're trying to put together.
Speaker 2: I'd work with say, chat YOURPT first, and then say
Speaker 2: how should I structure it. Here's my goals, here's my customers,
Speaker 2: ask questions and have a discussion with it, and then
Speaker 2: totally separate to that. Do the same thing in claude
Speaker 2: and then you'll get a structure. Once you've got that,
Speaker 2: you've then got two opinions on what you should cover,
Speaker 2: and then you've then built yourself out of the two
Speaker 2: structure you want and the goals and kind of points
Speaker 2: you want to cover. Once you've got that, do the
Speaker 2: same thing with the actual writing. So say here's a
Speaker 2: couple of paragraphs, let's flesh that out together. Do that
Speaker 2: with chat GPT, and then do it with Claude and
Speaker 2: you'll see you'll get two different results.
Speaker 1: What are some other key factors that we might need
Speaker 1: to consider when structuring a MULTIAI feedback loop.
Speaker 2: Well, first off, don't overcope complicate it. Not every problem
Speaker 2: needs to go to two different ais. But I would
Speaker 2: use it less about the writing. It's more about the ideas.
Speaker 2: So if you've got a complex thing you're not quite
Speaker 2: sure about the ideas or the structure of a document
Speaker 2: or some kind of analysis paper or a pitch deck
Speaker 2: or something like that, these are the great things to
Speaker 2: go do for two opinions. They're analysis or thinking deeply
Speaker 2: through things, structure of documents, kind of what's right or wrong,
Speaker 2: pros and cons. Those kind of things are brilliant to
Speaker 2: do the two model approach. If you're doing just say writing,
Speaker 2: it's probably not as appropriate or not as needed to
Speaker 2: go to the two ais. But yeah, ideas constructs, those
Speaker 2: kind of things brilliant.
Speaker 1: Is there a point of diminishing returns, like when you
Speaker 1: should just stop it with all the genais and just
Speaker 1: go okay, we're done here.
Speaker 2: Absolutely, And I'm guilty of trying them out because I
Speaker 2: enjoy trying them out, But I think for most people, yeah,
Speaker 2: I think just only a few times that you would
Speaker 2: need to particularly on those deep problem solving things, and
Speaker 2: don't need to do it all the time. But if
Speaker 2: you've got those problems solving things, it's a really powerful tool.
Speaker 1: Okay. So for someone listening today who wants to get
Speaker 1: in and start trying this immediately, what is the easiest
Speaker 1: way to get started?
Speaker 2: First off, sign up to the different tools, sign up
Speaker 2: to Claude, chat, EPG, Gemini, try it the others if
Speaker 2: you'd like, and then just play with them and see
Speaker 2: the different opinions. You get back on some of the
Speaker 2: problems you're solving, and then you might find that certain
Speaker 2: tools are better for certain problems.
Speaker 1: Thank you so much, Neo. I'm feeling very inspire to
Speaker 1: use this strategy today. Thank you so much. If you're
Speaker 1: keen to learn even more Genai tricks and hacks, check
Speaker 1: out Inventium's Jenai Productivity System. It's a self faced course
Speaker 1: to transform you from a Jenai dabbler to jenaipro in
Speaker 1: just a few hours. Head to inventium dot com dot
Speaker 1: au forward slash Jenai to check it out and get
Speaker 1: started today. If you like today's show, make sure you
Speaker 1: hit follow on your podcast app to be alerted when
Speaker 1: new episodes drop. How I Work was recorded on the
Speaker 1: traditional land of the Warringery people, part of the Cooler Nation.
Speaker 1: A big thank you to Martin Nimber for doing the
Speaker 1: sound mix.