Learner Event Replay v1
Append-only learner runtime events are replayed into deterministic decision timelines with current state and next recommendation.
The Single Idea
Append-only learner runtime events are replayed into deterministic decision timelines with current state and next recommendation.
01
Replay Snapshot
readystatus
4unique events
4timelines
1evaluated pass
0needs revision
11duplicates skipped
02
Decision Timelines
| State | Decision | Learner | Events | Last Event | Next Recommendation |
|---|---|---|---|---|---|
| decision_generated | 128eee365942f514 | unknown | 1 | 2026-06-09T17:39:22.028395+00:00 | Await practice submission for the first recommended module. |
| decision_generated | 394d079f16fdcbd4 | unknown | 1 | 2026-06-09T18:43:20.079950+00:00 | Await practice submission for the first recommended module. |
| evaluated_pass | f8fe57b08cf9a0bc | fixture-learner | 1 | 2026-06-10T01:08:11.248174+00:00 | Record model quality-gate proof and unlock the next recommended module. |
| decision_generated | fb54e3f159ebdac9 | unknown | 1 | 2026-06-09T19:45:00.871141+00:00 | Await practice submission for the first recommended module. |
03
Interpretation
This replay is deterministic and local. It does not
infer real mastery; it only summarizes append-only runtime/evaluator events
into a current state that the future feedback loop can consume.
Where to start
Feed the replay records into the next recommendation loop, then add real learner submission events behind the same append-only contract.
Feed the replay records into the next recommendation loop, then add real learner submission events behind the same append-only contract.