One Prompt Bar, 23+ Models: The Lilidi Vision — LiliDi Blog
Why Lilidi bets on a unified prompt bar across every flagship AI model — image, video, audio, edit — instead of yet another standalone tool.
By Tetiana Stepanets
The AI tool stack is broken In the last 18 months the AI model landscape exploded. OpenAI, Google, ByteDance, Kuaishou, Suno, ElevenLabs, Ideogram, Kling, Veo, Nano Banana, Flux, Runway — every week brings a new flagship. For creators, that's both magical and unbearable. Magical because the ceiling keeps rising. Unbearable because the floor — the interface you actually live in — keeps fragmenting. What we believe at Lilidi Models are commodities. The surface is the product. Three convictions drive everything we build: 1. One prompt bar You shouldn't have to learn a new UI every time a better model ships. Lilidi exposes every flagship model behind a single prompt bar with shared presets, shared history, shared references. 2. One credit balance Separate subscriptions for image, video, audio, edit — that's a billing trick, not a product. We unify everything into one credit pool.
Subscription credits reset monthly; top up credits last 90 days. Spend wherever you want. 3. No lock in Your outputs are yours. Your prompts export. You can switch models per generation. We will never hold your library hostage to renew. How we got here I'm Tetiana Stepanets. I bootstrapped a DTC brand on Amazon before this, sold it, and came back to build the studio I wished existed. Two people. Five months. 23+ models live. Here's the short version: Tetiana Stepanets — Why I'm Building Lilidi AI · 1:06 What's next Day of integrations for every new flagship model. Soul: a personal avatar pipeline you actually own. Community remixing with karma that pays the original creator. A real public API + MCP server for power users. Try it free The fastest way to feel the difference is just to use it. Open Lilidi, claim your daily 50 free credits, and run the same prompt across 4 different models
in 30 seconds. That's the demo. Related on LiliDi How LiliDi compares to Runway How LiliDi compares to Veo How LiliDi compares to Kling How LiliDi compares to Flux