Mythiril 1PixelEngineOpen workspace

Deterministic image infrastructure

Mythiril 1

Give agents precise hands. Identify an entity, apply a constrained image algorithm, and export a result that can be replayed and verified.

Run the verified demo Inspect the evidence
Entity-aware Replayable recipes Human-gated redaction
100% controlled recall0 leaked target pixels at 12px140/140 multi-DPI checks

Useful output first

One source. Bounded outcomes.

Each workflow targets a specific entity and produces a named artifact, not an open-ended generation.

Mythiril output: Transparent pixel asset

Transparent pixel asset

Select one entity, compile a bounded treatment, and export clean alpha.

Open workflow
Mythiril output: Product graphic

Product graphic

Keep the composition legible while applying a deterministic hero treatment.

Open workflow
Mythiril output: Contained signal effect

Contained signal effect

Apply a glitch treatment to one reviewed object without touching the rest.

Open workflow

The product thesis

Agents supply intention. Algorithms supply precision.

Mythiril separates semantic choice from pixel execution. The agent chooses a target and outcome; the engine owns masks, color science, compositing, treatment bounds, and export proof.

Enter the control room
  1. 01
    Understand

    Identify scene entities and request instance masks.

  2. 02
    Compile

    Translate intent into a bounded, inspectable recipe.

  3. 03
    Verify

    Replay deterministically and attach measurable evidence.

Start with proof

Use the fixture. Inspect every layer. Export the result.

Open Mythiril 1