Building Smarter White-Label Apps with Modular SDKs
Leandro Pontes Berleze | Mar 12, 2026
Summary
- Cheesecake Labs has introduced an audio listening feature for its technical blog posts, built in collaboration with ElevenLabs using AI-powered voice synthesis.
- The feature allows tech professionals to consume complex content during commutes, workouts, or other moments when reading is not practical.
- Audio support also improves accessibility for users with visual impairments, reading difficulties, or non-native English speakers.
- The integration reflects a broader trend of AI expanding how knowledge is distributed, enabling written and audio formats to coexist as part of a unified content experience.
AI is widely discussed, but rarely implemented in ways users interact with every day. At Cheesecake Labs, we focus on applying AI solutions directly into the products we build, for our clients and for our own platforms.
Our blog is one of those examples.
Technical content has a clear challenge: developers, product leaders, and tech executives often don’t lack access to knowledge — they lack time to consume it. Long-form articles about software development, AI, and data frequently go unread because they require full attention in already busy routines.
Instead of creating more content, we focused on making it easier to consume.
Now, you can listen to articles, listen to posts about development, product and technology at all directly from the Cheesecake Labs blog. This feature was built in collaboration with ElevenLabs, using advanced text-to-speech technology to transform written content into natural, high-quality audio.
From AI concept to shipped feature
This is a simple implementation, but it reflects a broader principle inside Cheesecake Labs. We don’t approach AI as an isolated capability, but more than that, we integrate it directly into real workflows and user interactions.
This is the same logic we apply when building AI-powered products for clients: identify friction, select the right tool, and ship it as part of the experience.
Read more: How to create products users love: applying Emotional Design and UX heuristics in real projects
AI inside products, not around them
Many teams are still exploring AI at the edges, testing tools, running experiments, or generating outputs. The real shift happens when AI becomes part of the product itself.
That’s when it starts to:
- Change how users interact with features
- Increase adoption of existing functionality
- Unlock new ways to deliver value without increasing complexity
Turning articles into audio is one example of this approach. It doesn’t add noise. It makes what already exists more effective.
Read more: Your AI Strategy Has a Data Problem
Built the same way we build for clients
Whether we’re working on AI-powered platforms, data systems, or digital products, the goal is always the same: build solutions that people actually use. This time, we applied that thinking to our own content.
In practice, this means you can now listen to posts about software development and AI strategy insights without needing to sit down and read through long-form content.
FAQ
What is the new feature introduced on the Cheesecake Labs blog?
The Cheesecake Labs blog now allows users to listen to technical articles directly on each publication page, using AI-powered voice synthesis built in collaboration with ElevenLabs.
How does the audio feature benefit tech professionals?
It allows professionals to consume technical content during commutes, exercise, or breaks between meetings, enabling continuous learning without interrupting their daily productivity.
How does audio content improve accessibility?
Audio makes the blog more accessible for people with visual impairments or reading difficulties, non-native English speakers, and professionals experiencing cognitive overload who need lighter ways to absorb information.
What technology powers the audio feature?
The feature is powered by ElevenLabs, which uses advanced AI voice synthesis to convert written articles into natural, high-quality audio.
Can users switch between reading and listening to articles?
Yes, the experience is designed to be context-aware, allowing users to switch between reading and listening depending on their environment, reducing friction and supporting higher content retention.
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