Testing whether improvement is real
Use independent evidence to test your architectural ideas.
What you’ll explore
- System improvement
- Benchmarks
- Ablations
Your lessons
0 / 13 completeMeasure the whole workflow
Run an assistant through a fixed case suite and diagnose retrieval, evidence, tool and runtime failures separately.
Test a proposed system improvement
Expose a hidden regression, set release gates, and promote or restore a version with its evidence attached.
Find out whether improvement generalizes
Select a lucky benchmark winner, remove components, and compare step accuracy with whole-workflow reliability.
Read a paper as a set of claims
Separate a paper’s proposed mechanism, measured result and broader hypothesis.
Turn an idea into a falsifiable experiment
Specify a paired baseline, one change, metric, budget and decision rule before final evaluation.
Build the baseline before the extension
Replay versioned data, fitting rules, seeds and metrics before changing the model.
Measure variation rather than hiding it
Separate initialization variation, task clusters and paired differences.
Find the cause of an improvement
Compare all four factorial cells and distinguish interaction from extra compute.
Compare world-model research approaches
Compare dated prediction targets and control mechanisms without ranking incompatible evaluations.
Compare robotic foundation models
Compare demonstration provenance, action representation, embodiment and reported generalization.
Run a frozen final study
Freeze a recipe and decision rule, expose final rows explicitly and retain every seed/task result.
Write a reproducible research report
Connect every claim to a frozen result, reproducibility artifact and limitation.
Defend and revise a result
Record a critique, a bounded claim revision and a counterexample test without rewriting earlier evidence.