Worldscope

(01)

Perception

How agents construct internal representations of the environment from raw sensory streams.

(02)

Memory

Storing trajectories, patterns, and prior experience for retrieval at the right moment.

(03)

Planning

Simulating consequences before action — running futures inside the model.

(04)

Action

From decision to embodied output. Where intent meets the world.

(05)

Reflection

Understanding why the agent did what it did. The interpretability layer.

Other case studies

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AllAgentsGenerative AIResearch
2026Relay — Supervision interfaces for AI agents2025Webglide — Computer-using agents2025–26Flint — Natural-language-to-application platform2023NatWest’s Cora+ — Generative AI2024Dynamic Quantum Optimisation — IBM QuantumIBMAI Incubation2024AI-assisted email triage — UK Government
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