How a former Mozilla CMO uses AI to create a new cannabis cocktail brand

Jascha Kaykas-Wolff, a seasoned executive with a wealth of experience from his roles at Mozilla, BitTorrent, and other tech companies, is making waves in a new venture that blends technology with a burgeoning market. Together with artist Alexandra Roberts, he is launching 'Eleanore', a premium cannabis-infused cocktail brand set to debut in early 2026. This innovative product aims to elevate cannabis consumption from its traditional, often stigmatized roots into the realm of upscale social experiences like private clubs and cocktail lounges. The journey to develop Eleanore marks a drastic shift in the traditional product development process, largely due to the integration of generative AI technologies. In the past, bringing a product like Eleanore to market could take up to six months and cost around $500,000, requiring the collaboration of various agencies and contractors. However, with the strategic use of AI tools such as ChatGPT, Claude, ElevenLabs, and Lovable, Kaykas-Wolff and Roberts have expedited their timeline to just four weeks while significantly reducing costs to less than 10% of the original estimate. Their AI-enhanced approach has fundamentally transformed how they create and manage the brand. Kaykas-Wolff emphasizes that AI is not merely a gimmick for them; it serves as a collaborative partner that aids in strategic planning, creative development, and operational execution. The duo has employed a range of AI tools to assist with everything from website creation to market analysis. They have developed customized AI models—Tilda, Alexandra's creative partner, and Ferris, Kaykas-Wolff's operational assistant—that streamline their workflow and facilitate creative iterations. The fusion of AI into their business model has reshaped the creative process, allowing for rapid exploration of ideas and immediate feedback on design concepts. Rather than beginning from scratch, each new idea emerges from a dynamic dialogue with their AI systems, enabling them to test various creative directions and assess potential business impacts collaboratively. Kaykas-Wolff notes that the traditional barriers between creative and analytical tasks have vanished, allowing for an integrated approach that combines aesthetics with strategic business insights. This has resulted in a more fluid creative process where design and functionality can be explored in tandem, fostering innovation without the constraints that once limited creative endeavors. Reflecting on the limitations of pre-AI methods, Kaykas-Wolff points out that without generative AI, the Eleanore project may not have even come to fruition due to prohibitive costs and slower timelines. In contrast, the current landscape allows them to experiment boldly and build their vision directly, utilizing their AI companions to navigate the complex landscape of product development. Despite the advantages, Kaykas-Wolff acknowledges the challenges of working with AI, particularly the need for constant validation of outputs and ensuring a diversity of perspectives to avoid narrowing creative possibilities. Traditional creative tools provided a necessary friction that often enhanced the final product, something they need to consciously recreate in their current fast-paced environment. In conclusion, the launch of Eleanore stands as a testament to the transformative power of AI in business. Kaykas-Wolff and Roberts exemplify how small, agile teams can leverage technology to achieve what once required the resources of large organizations. Their experience illustrates that AI is not a replacement for creativity but rather a powerful amplifier, opening doors to unprecedented possibilities in the creative landscape.