One prompt.
Many models.
One master channel.
Kaskade routes your work through a sequence of models — each playing a different role, each feeding the next — and returns an artifact none of them could have produced alone. Writing, research, code, image, launch. Any task.
A single model gives you one angle on a problem you couldn't solve alone.
Every frontier model has a personality. One hedges. One qualifies. One chatters. One flattens. You can feel the house style bleeding into the output before you've finished the prompt.
The prevailing answer is to pick a favorite and live with its blind spots. Some teams paste the same query into three tabs and squint at the differences by hand. Neither scales. Neither compounds. Neither produces something better than what any single model returned.
Kaskade is the third option: one pipeline that routes your prompt through a deliberate sequence of models, each playing a different role, with the output of each informing the next. Not comparison. Transformation.
Kaskade isn't a side-by-side model picker. You're not squinting at three tabs trying to pick a winner. The kaskade runs end-to-end and returns one result.
The value isn't access. Anyone can route a prompt through an API. The value is the orchestration — decomposition, routing, carry-forward, critique, synthesis.
A universal-task engine. Any prompt, any domain, any stage of the work. Each model contributes, none dictates. The final result carries the lineage of all of them.
Any model can play any role. Swap instruments, reorder stages, add specialist passes, set a stop threshold. The shape is the product — the specific models are yours.
Any task. Any domain. Any stage of the work.
Kaskade isn't tied to one vertical. The value is in the orchestration — decomposing work, routing it, carrying outputs forward, synthesizing. That engine doesn't care whether you're writing a contract, debugging a function, drafting a launch plan, or rendering a hero image.
If it's a task a model can do, it's a task a kaskade can do better.
Kaskade Core
The engine everything else runs on. Task decomposition, model routing, carry-forward sequencing, critique and iteration, synthesis. Configurable stages, configurable stops.
See the method →Architekt
Multi-pass image kaskades: draft, block, render, critique, finish. For creative work with a lineage. The first visible wedge of the platform.
See Architekt →SKRAPR
Permissioned context import. Turns your chats, notes, and docs into structured input the kaskade can actually use. Privacy-first. Reviewable. Deletable.
See SKRAPR →When the output is a picture, the kaskade becomes a studio.
Architekt is the image-focused kaskade layer inside Kaskade. Same principle, different instruments: a concept model drafts, a compositional model blocks, a detail model renders, a critic flags, a master finishes.
The output isn't an image. It's an image with a lineage — every pass logged, every model credited, every revision reversible. Built for creative directors, brand teams, and independent operators who care what goes out under their name.
Every kaskade starts with context. SKRAPR is where that context comes from.
You already have the material. It's in your chats, your docs, your Slack history, your Notion pages, your inbox. SKRAPR imports what you choose to share, extracts goals, preferences, projects, and recurring themes, deduplicates the noise, and produces a structured context layer the kaskade can actually reason over.
Nothing about SKRAPR is opaque. You see exactly what was imported, exactly what was extracted, and exactly what Kaskade will use. Edit any of it. Delete any of it. Re-import anytime.
Built for the work you won't ship without a second pass.
Kaskade is in public concept validation. Join the waitlist for progress, previews, and early access as Architekt, SKRAPR, and the orchestration core come online.
If you're building adjacent, investing in AI infrastructure, or want to collaborate on a specific workflow — the inbox is open. Keep it direct and product-focused. Get in touch →