Beyond Templates: How to Direct AI Like a Human Creative Lead
The Creative Lead Framework for Better AI Outputs
In this video, Rohit Salian, VP, Creative Labs, and Rachita Sharma, VP, Strategy (Demand Labs), shared some real and raw thoughts on how generative AI is changing the way we work. Their main takeaway was that while AI is now everywhere, the real win isn’t just about using it; it’s about knowing how to lead it. Rohit pointed out that too many people treat AI like a vending machine: you press a button and just take whatever falls out. But if you want something great, you have to guide it with a clear purpose.
One thing Rohit mentioned that really clicked is that AI isn’t replacing creative jobs; it’s actually revealing where creative leadership is missing. He thinks of AI as a junior team member. You wouldn’t just sign off on the first draft a junior hands you without looking at it. You’d give them a better brief, provide feedback, and keep tweaking things until it actually looks like what you had in mind.
There’s also a practical side to this. Most marketing budgets aren’t growing, but everyone is expected to work faster. When everyone uses AI just to save time, everything starts looking the same. We’re basically facing a wall of "AI-average" content, and the only way a brand can actually stand out now is through strong, human direction.
The talk also touched on why we need to stop worrying so much about "perfect prompts." Creative work has always been about iteration. Instead of trying to get the right keywords in one go, we should focus on the actual intent behind the work and keep refining the output.
When it comes to video, Rohit suggested thinking less like someone ordering an asset and more like a "world builder." Whether you’re using text-to-video or combining different ingredients to make a scene, the goal is to co-create something that feels original rather than just generated.
He also shared some practical advice on tools. Using things like JSON formatting can help make AI output more realistic and consistent. He compared different platforms, noting that while some are great for high-end client work, others are better for quickly playing around with ideas. The bottom line was that clear instructions will always get you better results than vague ones.
His advice was pretty grounded: don’t expect the first version to be the final one, use AI to help scale the small stuff and save money, but never forget that storytelling is still the most important skill you have.
Then Rachita took the stage to talk about the systems behind the scenes. She argued that speed is useless if you don’t have a structure in place; otherwise, you just end up with a mess. AI needs a framework to actually be useful at scale.
Four Main things Creative Leaders Should Focus
- Organising your creativity with tone guides and prompt libraries you can reuse.
- Finding the right balance, maybe letting the machine do 80% of the heavy lifting, but keeping that final 20% for human touch and refinement.
- Setting up a process that keeps quality steady even when you’re producing a lot of work.
- Ensuring a single story works naturally across different platforms. Rachita ended by saying that the future isn’t about who can work the fastest, but about who can lead AI best.
Both speakers walked away with the same message: AI doesn’t lower the bar for quality; it actually raises it. In the end, it’s still human creativity that makes work worth remembering.
