lunaroute/glm-5.2-vision · glm52-a

Patterns visible the instant they form — bursts, stalls, repeats, failure clusters.

Every turn becomes one column in a fit-to-width ribbon, streaming in from the right — bursts, stalls, failure clusters, and compaction boundaries read as patterns before any clicking.

Realtime Comprehension — What pattern is forming right now (burst, stall, retry loop, runaway), what just changed, is current activity normal for this session? Columns stream in live, a green-glow border marks the live cell, and a streaming ticker narrates each event as it arrives.

Long-Session Scaling — One column per turn; older columns compress leftward to keep the full-session-so-far pattern on one screen — a 263-turn session fits 2 rows; 1,000 turns ≈ 8 rows, never scroll.

Interactive mockup (raw HTML — download & open locally)

The tool-type × time-bucket activity heatmap, growing column-by-column — phase transitions and tool-mix shifts as spatial patterns the moment they form.

Realtime Comprehension — How the tool mix is shifting right now, which tools dominate the current phase, where the error episode is — the active bucket's column pulses with a green outline, the active-row label highlights the current tool type, and the ticker narrates events.

Long-Session Scaling — 50 buckets × 10 tool types keeps the grid to one screen regardless of session length; adding buckets or rows only changes cell size, not layout.

Interactive mockup (raw HTML — download & open locally)

The delegation icicle grows live — the root bar extends rightward, child delegate nodes spawn into the tree, and cost ribbons accumulate inside each node.

Realtime Comprehension — How cost (tokens, wall-clock, tool calls) distributes across the delegation tree as it grows — active nodes pulse with a green outline; an error ribbon appears the instant a failure fires; a taller duration ribbon shows recovery time.

Long-Session Scaling — One node per session element, width proportional to turn span: a 3-level tree fits one screen regardless of depth; fat nodes with tall ribbons show where tokens and time concentrate.

Interactive mockup (raw HTML — download & open locally)

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