Project
Cogniform
A 3D engine that lets software and AI tools change a scene, then inspect images and object data from the same scene version.
Engineering reading paths
Connect bounded agent intent, authoritative state and revision-linked observations.
Start here
An agent needs explicit authority to change a world and enough context to interpret the resulting observation. Explore Cogniform and LudoWeave through their documented contracts, inspect the recorded observations, and distinguish state identity from caller trust.
Curated connections
Project
A 3D engine that lets software and AI tools change a scene, then inspect images and object data from the same scene version.
Project
A Python engine for small 2D worlds with verified replay, pause and single-step controls, seek/resume, and a tick-aware playback status panel.
Curated connections
Engineering update
M242 through M244 add pause/step, seek/resume and a current/final tick panel with playback state and contextual hints. Recorded world input stays authoritative.
Engineering update
M241 adds visible playback of verified Clockwork Arena recordings. A full headless check precedes presentation; recorded transactions and inputs remain authoritative, while live gameplay input is ignored.
Engineering update
Clockwork Arena can record the input snapshots its play loop consumes and verify them in a fresh headless process. Recording is opt-in, capped at 3,600 requested ticks, and keeps rendering and audio outside the artifact.
Engineering update
Clockwork Arena now documents optional synthesized effects through an explicitly pumped, callback-free audio path. The default Null audio mode remains headless and unpaced; device playback and human listening require separate verification.
Engineering update
The CLI now documents inherited-stream sessions and a local MCP adapter for queries, imagination, atomic patches, and revision-linked observations. These adapters add no network listener or remote security boundary.
Curated connections
Article
What Cogniform's revision-linked observations clarify about agent feedback, local transport and evidence.
Article
How consumed input snapshots, world transactions and independent verification make a recording useful evidence.
Article
What recent work on agent standards, on-device inference, and reliability has reinforced for me about building AI into real products.
Curated connections
Bounded evidence
Recorded capture. Inspect color, depth, normals and entity identity from the recorded reference frame, with the limits of each view.
Bounded evidence
Interactive illustration. Step through an illustrative consumed-input recording and locate a divergent checkpoint. This teaching model does not execute LudoWeave.
Bounded evidence
Recorded capture. Compare the existing local frames and recorded hashes. The capture retains its original environment and limitations.
Curated connections
System map and source
Explore the documented boundaries and pinned sources in this case study. Evidence reviewed 30 September 2026.
System map and source
Explore the documented boundaries and pinned sources in this case study. Evidence reviewed 30 September 2026.