It comes pretty naturally for me to use AI agents for different tasks, and I'm a paying customer for some of them for the team, as well as for my own use. The reason our team continues to pay for these services is related to a brutal fact: it's too costly to hire skilled human beings to do the work. Take some of the tools, for example.
We used Lovable for prototyping and diagram creation. It helped our team communicate more easily with customers, especially SMEs and individual entrepreneurs seeking idea validation. SMEs/Individuals may not be able to commit to a full project due to limited budget and a lack of tech expertise. They expect a tech consultation that helps them visualise their ideas and map the workflow, and identify the gaps on why/which it may/may not be the right idea to proceed at the moment.
The traditional MVP/POC process will be more costly and time-consuming. With the right tools, like Lovable and Figma Make, it will be so much easier for the aspiring non-tech entrepreneur to visualise and validate their ideas.
For enterprises that are more particular about branding and aesthetics, Figma Make will look more polished in terms of design. And it's good for sample screen creation for project pitching.
Gamma is a professional presentation agent that helps knowledge workers to create slides with ease. Without Gamma, I'll have to engage a designer in the team to help with the layout and content rearrangement to make it neat.
With the above agents, it could help us with work for Presale, Pitching, and Presentation.
For professional engineering work, we also use Windsurf, GitHub Copilot, and Claude Code.
As an IT consultant, we need to give reports and go for tender proposals. Then, the more advanced reasoning Agents are helpful, including Manus and ChatGPT.
AI agents are similar to interns, where you need to give them specific tasks on what to do, and they can execute the specific tasks quite well. Some reasoning agents are smarter, as they understand your intention better and can execute well with more contexts we feed to them. Interns may not know your intention that clearly, and you need to check in regularly.
I'm convinced by a senior friend who has been in the tourism industry for years. He shared with me that many innovative projects he initiated in his career were indeed coming from his young interns. The young minds have a lot of time, and they can explore ideas without boundaries, whereas we, as seniors, may not have enough time to execute certain initiatives. Our mindsets can sometimes be constrained by our experiences, too.
End of last year, I started exploring the internship options, and it has had some surprising outcomes. Firstly, our team managed to explore new areas of AI models and agents. We also got the chance to explore the AI animation creation process together with interns who have tech and media director backgrounds.
There is still a gap between the work delivered by AI agents and interns vs the knowledge work that the market is willing to pay for; thus, seniors are necessary to cross-check and be in the loop for accountability.
I'm astonished by the complementary roles between interns and the AI agents, where interns often take time to experiment and uncover new possibilities driven by their interests and creativities, while AI agents excel at exeucting repatitive, well-defined tasks efficiently.
(Illustration by ChatGPT)
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