Artificial intelligence has quietly infiltrated the creative process. Today, it not only intervenes in the final stage of a work, but also accompanies it from before inspiration strikes until the final form that the public ultimately sees.
What if that creative idea you have in mind could evolve from the first sketch to its final form? AI can help you generate ideas when you’re short on inspiration, develop concepts when you need to organize them, and refine the result when you’re looking for coherence and tone. With the rise of tools like ChatGPT, DALL·E, Perplexity, and video and music generation systems , this support is available to any creative sector. By the end of this article, you’ll understand how to use AI as a co-pilot without losing your own voice.
AI and creativity: the right approach
The use of artificial intelligence in creative processes is already widespread. This isn’t just our opinion; according to the Adobe Future of Creativity Report 2023 , more than 70% of creative professionals regularly use AI tools to brainstorm or accelerate their work. However, the difference lies in the professional use to which it is put:
Co-pilot vs autopilot: where is the limit?
Generative AI doesn’t create by magic; this tool feeds on existing texts, images, music, and styles. In other words, it randomly combines other artists’ work to compose yours without any original vision.
The real risk arises when the entire process is delegated, as the results begin to resemble one another and the work becomes standardized. That’s why you have to set the limits yourself. When you relinquish decision-making power, your work ceases to add its own unique value.
What does “your voice” mean (tone, criteria and point of view)
Your voice is what sets your work apart from the rest:
- Tone : how you say things and what emotions you convey.
- Criteria : This encompasses both what you choose and what you discard. What matters here is the personality you develop when making that decision.
- Point of view : the personal perspective that gives meaning to the final result.
Each professional has their own personal context and references, so leaving these matters in the hands of AI means losing your brand image.
What AI does well in creative processes
At this point, it’s clear that AI adds value to the creative process when used as practical support. It doesn’t replace the idea or the judgment, but it does alleviate blocks and save time in specific phases.
Generate ideas and angles without getting stuck
The fear of writer’s block is more common than it seems. An Adobe study (2023) indicates that 75% of creatives experience frequent writer’s block when starting a project. That’s why AI helps break through that initial barrier by offering quick starting points. The reality is that most of the suggestions will be quite generic, but with a little exploration, you can adapt them to your own style.
- Tip : Ask for similar ideas, alternative approaches, or brainstorming based on your initial idea, not from scratch.
Propose copy structures and variations
AI works well by organizing ideas and proposing possible structures when the message is already clear.
- Tip : Use it to try different approaches to the same text and decide which one fits best.
Speed up mechanical tasks (summaries, adaptations, formats)
The mechanical tasks of summarizing large projects, adapting them to formats, or reusing content are usually the most tedious part of the process, since the creative person had already considered their creation finished.
- Tip : Give him your own texts as a reference so that he respects your style and just speeds up the work.
What you shouldn’t delegate
Artificial intelligence can assist you in many phases, but there are key decisions that remain yours and that you shouldn’t allow a machine to make. This is crucial; delegating them completely dilutes the purpose of the work and weakens the final result.
The main idea and the intention
At the beginning of any creative process you must have two clear ideas:
- The main idea must come from you.
- The blank page is not an enemy, but the starting point.
You can leverage AI to explore different paths, but it’s essential to define from the outset what you want to say and why. Only when the foundation is clear will the tool contribute effectively without diverting you from your intended course.
Editorial criteria and brand sensitivity
The scientist Albert Einstein said that “creativity is seeing what others see and thinking what no one else has thought,” and it is precisely this criterion that gives coherence and depth to a brand. AI can make suggestions, but only a human perspective provides sensitivity and a recognizable identity.
The final edit (rhythm, emotion, coherence)
The final edit is where the text takes on meaning, and that’s when you decide what stays, what gets removed, and at what point an idea should breathe or move forward so that your idea reaches the rest intact.
Quick method to use AI without losing your style
AI doesn’t replace a creative method; it demands it. If all the results look too similar, it’s because there was neither a clear starting point nor a conscious review. In contrast, when there is direction, the tool becomes an effective support.
5-line brief (objective, audience, tone, message, limits)
A brief is the framework that guides all creative work. Make sure your prompt contains the following elements:
- Objective : what you want to achieve with the content and what it is really for.
- Audience : who you are addressing and what level of knowledge or sensitivity they have.
- Tone : how the message should sound and what register fits your brand or style.
- Central message : the key idea that should be clear after finishing reading.
- Limits : what AI should not do, how far it can intervene, and what decisions depend solely on you.
Iteration: AI draft + human polishing + verification
- Assisted draft : uses AI to generate a quick first version from the brief.
- Human polishing : review structure and style decisions so that the text sounds like you.
- Final verification : check consistency and added value before considering it closed.
Helpful prompts and closing
Finally, having good prompts makes all the difference between generic AI usage and one that aligns with your style. Below are some you can use depending on your goal:
3 basic prompts: angles, rewriting to your voice, simplification without changing tone
- Angles : “Assume the role of (x) and propose alternative approaches to this topic without changing the main message or the target audience with the intention of (x).”
- Rewriting in your own voice : “Assume the role of (x) and rewrite this text maintaining the tone and style, avoiding clichés and generic phrases with the objective of (x).”
- Simplification without changing tone : “Assume the role of (x) and clarify this content and make it more direct without changing the tone or the original intention with the goal of (x).”
Final checklist: “Does it sound like me?” and “Does it bring anything new?”
Before closing, it’s worth asking yourself two key questions:
- Does it sound like me, or could anyone sign it?
- Does it bring anything new to my sector or does it just repeat what’s already been said?
If both answers are clear, then the use of AI has been correct.
Do you need help integrating any of these tools into your workflows and don’t know where to start? Let’s talk.