Tom Mansell
speaker
190 appearances
5 recordings
1 series
first heard Sep 2025
last heard 26 Sep
Tom Mansell’s voice in public audio — every appearance, attributed to the second.
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Appearances
It can help you scale and plug it in in those areas, which tip typically for us centers around, you know, the research, the auditing, strategic kind of direction elements of, you know, building that that process and that plan.
Yeah, I think, you know, definitely using the large language models, knowing how to prompt them in the right way is is crucial to getting a getting a really good output.
You know, we're we're building different tools at crowd that automatically hook up into these large language models via API, cycling through different uh prompt patterns to extract, you know, the understanding
And the perception of brands, which is giving us strategic guidance.
But if I if I kind of strip that right back, we're also having lots of success.
You know, we've spoken about content.
There are lots of great things that you can do with with AI, just in, you know, the web app, the interfaces to help accelerate your content program.
You know, examples of that, you know, planning content in niche industry.
Where you're you know you're working with clients in very specific areas where you haven't necessarily got the subject matter expertise, but you know, you can use AI, you can use these large language models to help give you that steer and that direction.
It's great at understanding where you've got content gaps, where you know you're coming up with ideas, you can set it off across your website in you know to try and scrape that content, identify.
Identify content that's you know semantically uh relevant and where it would potentially improve content or where you need net new content to you know uh address that particular gap.
It's also great at identifying trending topics, you know, from industry press and clustering those themes um to give you tangible output.
So those are some examples if you haven't necessarily got, you know, engineering, you know.
know, previous experience, you can definitely get very good outputs from those from those prompts um to you know help s help scale your output.
Yeah, I think, you know, to to answer the first part of that question around, you know, newfound availability, I firmly believe that, you know, I don't think we're necessarily going to get to a point where, you know, it can it can pick out the insight, it can translate that into something that you can communicate back to senior leadership within an organisation.
I still think, you know, with with all of the information and all
The data that it has, it still requires that that human analysis in order to translate that into a compelling narrative that you can go back to senior leadership with and you know tr translate that clear, actionable plan on what it is that you need to do specifically for that use case.
So I think it can definitely do some of the heavy lifting, right, in terms of the you know the
research, um, the insights, the analysis, but there's always going to be that human, that human element um to it that that needs to happen to translate that back into into clear, measurable outcomes and actions.
In terms of kind of like, you know, balancing innovation and results, I mean personally my belief is that
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