How to Create Better Content with AI – and in addition to 11 tools to get there

The video generated by AI is already here and this machine cannot be stopped. According to a report by Wistia, 41% of videos will be created with AI in 2025. It’s twice as many as last year. AI now plays everything from pre-production planning to post-production tasks like dubbing, captioning and visual production.

In such a fast industry, manual resources are not enough. So, Holywater, specializes in storytelling and distribution, focuses on balancing creative minds with AI automation, expanding and reaching new markets more efficiently. Whether you’re creating marketing videos, educational content, or entertainment series, my tips on how to effectively combine AI automation with human creativity can help you stay ahead of the competition and create engaging storytelling.

Related: Why is 2025 the year to redefine content creation and search strategies?

Integrate multiple AI tools to maximize impact

When working with AI to create content, don’t rely on just one specific tool. Instead, consider testing different technologies and choose the one that actually works. Below are some of our top AI tools combinations:

I turn to the runway and Marie for video production. The first one will remove backgrounds, customize frames, add effects, and create videos based on text prompts that support different formats in different styles. Marey uses only a single image to create camera movements in the movie. You can convert your 2D scene into a 3D environment and point the camera as if you were using a set.

Use 11 winding with audio and audio. It creates a high-quality AI voice that brings the characters to life for a more engaging story. Flux is a must-have item for visuals. Use this to create visual assets for your AI series and promotional materials.

If you’re looking to work with fictional texts a lot, try sudowrite and its wide range of features, from outline creation to automatic writing and self-editing. The software can create the first chapter based on character outlines, worlds, overviews, plots, and even user input. Meanwhile, GPT agents help you build personalized AI assistants that analyze context, learn styles and deliver results related to tasks from analysis to content structure.

These tools combine to achieve exponentially excellent results. In our experience, “Using multiple AI tools makes content better.” But what’s important is the people who work with these tools and create stories.

Create an interactive experience, not just watching

When creating virus content, aim to not only create hits, but also build a long-term story. Think about ways to develop more products and keep your audience alive.

For example, we pioneered AI Companion, allowing viewers to interact directly with AI characters from their favorite shows. Users can text with their characters and create deeper emotional connections beyond the viewing experience.

This interactive approach is not limited to content creation. Fashion brands can develop virtual stylists with AI, while educational apps can integrate AI tutors like Duolingo that adapt to the student’s pace and learning style. The key is to move beyond one-way communication and create an experience where viewers are actively involved in your story.

Optimize distribution and marketing using AI

My company also uses AI in marketing. Our AI-driven marketing machines generate over 200,000 creative concepts each month in 12-15 languages. All this is possible with a team of marketers who leverage AI tools and robust user analytics to enhance their ideas.

The basis of this scale is a data-driven solution that identifies the viral elements of a series, extracts them, strategically combines them, adds titles, and adds titles to create completed marketing concepts at scale. In addition to in-house tools, our marketing team uses a powerful stack of AI solutions.

Stable diffusion and midi Joney to help create high quality, eye-catching visuals and artwork for video editing, manipulation and creative video effects.

This is how you can quickly create tailored promotional content for different audience segments, test your A/B test creative approach, and optimize your marketing based on real-time performance data.

Related: How to Use AI to Create Content, Avoid Potential Risks and Penalties

Join the team to use AI

The most successful implementation of AI happens when all team members find their own way to work smarter with these tools.

Our team recommends using AI as a skill rather than as a shortcut. Everyone finds their own way of working wisely with it. Content OPS Managers are used for brainstorming and training models in specific tones. Brand designers refine their visuals with focus prompts. Developers code pair programming tools such as cursors. Brand leads analyze user interviews to find patterns and trigger stronger ideas.

The approach is complex yet scalable. Let AI handle iterative things. This way, teams can focus on tasks that only humans can do: strategy, creativity and original thinking.