Introducing VERSUR Auto

Model lists keep growing. On a single canvas you might need a fast read of a facade photo, a long research pass with tools, a new concept render, a plan drawing from that render, and a short motion clip - each step wants a different model. Most of the time you know the deliverable. You do not want the job of memorizing which model matches every kind of work.

Today we are introducing VERSUR Auto - intent-based model selection for Agent, Vision, and Generator blocks. Leave Model on Auto and Versur picks a concrete model for that run - from what you ask, what you wired in, and what the block is trying to produce. You stay in charge of the brief. Versur handles the model choice.

Agent and Vision

On Agent blocks, Versur Auto scores the run from your prompts, active tools, attached images, and output shape - then picks a matching model tier (vision, code, document research, deep reasoning, creative writing, lightweight chat, or a balanced default). Heavy tool counts, long prompts, and multistep plan work can bump the run to a stronger frontier model for that execution.

On long Agent runs, Versur Auto can use different models for different phases of the work: plan and the final answer stay on the primary model; routine execute steps and context compression can use a lighter model from the same provider. Read, search, and list steps go lighter; critique, generate, and final-deliverable steps stay strong. Runs with host-control tools (Rhino, Adobe) stay on the primary model.

On Vision blocks, plain image analysis and structured JSON output are different jobs. Versur Auto treats them that way - fast read vs reliable schema output - without you switching models by hand.

• Leave Model on Auto on Agent and Vision blocks.
• Versur Auto picks from prompts, tools, images, and output shape - no extra model-selection charge on Agent or Vision.
• Per-step picks on long Agent runs - primary for plan and wrap-up; lighter for routine execute and compression.
• On Agent blocks, temporary provider errors can retry with the next candidate in line; a pinned named model never swaps mid-run.
• Cost-aware behavior on expensive Agent Auto runs - prompt caching and earlier compression where it helps.

Generator

The Generator block is where model choice hurts most when it is wrong. A text-to-image model will not turn a render into a section. A viewpoint model is the wrong tool for a labeled plan. Video with sound and silent motion want different models too.

Versur Auto on Generator covers Image, Video, 3D, and Upscale - you still pick the mode on the block; Versur Auto picks the model inside that mode from your prompt and whether you wired an image, a clip, or nothing: new concept image, edit, camera move, plan or section drawing, labeled graphics, motion clip, mesh export, or upscale.

When studios reach for Auto

• You are not sure which model row fits - you know you want a polished concept or a warmer edit, not which picker name to trust.
• The same workflow sometimes starts from a blank brief and sometimes from last week's render - Versur Auto adapts without you retuning the block between runs.
• You want a section or plan from a render, or a new camera angle on the same scene - different asks, and Versur Auto steers toward the right kind of output.
• An Agent calls Generator more than once in a pipeline - Versur Auto can pick per request so one step creates and the next edits without you naming models in the chat.
• You are building a template for the studio - Auto keeps the graph simple while still handling varied inputs from project to project.

See what ran

Versur Auto is not a black box on the canvas. While a block runs, the model field shows Auto plus the model Versur Auto chose for that pass. When the run ends, it returns to Auto. Cost and run details list every model that ran and what it cost - exact per model when multiple models ran in the same execution.

That visibility matters for trust and for tuning. When you need the same model every time - a fixed review pass, a house style, a client-mandated provider - pin a named model. Auto and pinned models live on the same blocks.

How to start

• Open an Agent, Vision, or Generator block.
• Set Model to Auto.
• Write the ask. Wire inputs when you have them - image, video, tools, references.
• Run. Watch Auto update to show which model Versur Auto picked.
• Pin a named model on any block where you want a fixed route every time.

Available now

Versur Auto is available in the workspace today on Agent, Vision, and Generator blocks. It sits alongside the model postures you already choose - hosted, BYOK, and local via Bridge - without changing how workflows, skills, or tools run.

Models you control is how you choose where inference runs. Versur Auto is how you choose which model fits the work - so the canvas stays about the design, not the picker.

Models you control · VERSUR Agent · Design Agents · VERSUR Loops · Changelog