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Xelta AI Studio offers a suite of specialized AI models for generating marketing videos, social media content, voiceovers, and visual assets through text prompts, image references, or audio inputs. The platform lets creators adjust technical parameters like aspect ratio and style weight to match brand guidelines.
- Supports multiple input formats (text, image, audio) for different creative workflows
- Targets specific use cases like e-commerce backgrounds, short-form videos, and ad creatives
- Provides customizable settings (aspect ratio, seed, style weight, step count) for brand consistency
Lucas Yiu, former head of Loewe’s TikTok strategy, explains how he broke luxury conventions by using raw, iPhone-shot videos that drove tens of millions of views. He covers winning internal buy-in, picking creators by vibe, and why authentic, organic content outperforms polished campaigns, then shares his new consultancy focus and future social trends.
- Raw, iPhone-shot TikTok content at Thierry Mugler and Loewe each pulled in roughly 30-40 million organic views, overturning luxury's polished-campaign instincts
- Internal buy-in came only after late-night lobbying got "too much" creator content approved, after which Loewe loosened its approval process
- Slapping logos in a video's first three seconds undercuts engagement, so social posts work better as stepping stones to bigger brand stories than as polished ads
- Yiu now consults only for brands that already "get it," betting that authenticity beats production value for capturing audience attention
As AI and LLMs make competent drafts trivial, the real edge shifts to human judgment—spotting what’s generic, diagnosing flaws, and owning outcomes. True value comes from combining taste with context, constraints, and stakes, not just selecting polished AI outputs.
- AI makes generic "7/10" drafts nearly free, so the scarce skill becomes diagnosing precisely why something is generic or risky, not just picking the best AI output
- The practical drill: generate 10-20 AI versions of an artifact, write a "fails because..." line for each, then rewrite the best under hard constraints (no buzzwords, one idea per sentence, real trade-offs noted)
- Refusal—recognizing when "good enough" hides risk or mismatches real needs—matters more than selection
- Real authorship requires holding actual stakes (regulatory liability, brand damage, budget/material constraints) that AI can't bear, so curation alone leaves humans without genuine ownership
Markdown emerged in 2004 as a simple and intuitive way to format text for the web, developed by John Gruber to address the complexities of HTML. Its ease of use and effectiveness quickly led to widespread adoption across various platforms, fundamentally changing how content is created and shared online.
- John Gruber created Markdown in 2004 specifically to make web formatting simpler than raw HTML.
- Its lightweight syntax proved so intuitive that it spread far beyond blogging into platforms like GitHub, Reddit, and Slack.
- Markdown's success shows how a small, well-designed tool can become an unofficial standard without formal enforcement.