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AI-grafen
EUniversityScientific method· about 60 min· evolving, reviewed regularly· verified 2026-09-20· EN

The lab journal and the experiment log

Be able to document the hypothesis, the setup, the results and the conclusion so that somebody else can repeat it.

Prerequisites

Intuition

Experiment tracking logs the numbers. The lab journal logs the thinking: why you ran it, what you believed, what you learnt. Without it you repeat the same failed idea in three months.

An entry (10 minutes, straight after the run):

2026-09-20 · #47 — Reranking in RAG The hypothesis: cross-encoder reranking of the top 20 → +5 pp grounding. The setup: run 20260920-1412, the same 200 questions, bge-reranker-base, k=6 after the rerank. The result: the grounding 71 → 74 (±3), the latency +180 ms. The conclusion: a small gain, within the noise. Not worth the latency for the chat; perhaps for a batch. Next: try k=4, and hybrid retrieval first (#48).

The platform's journal (/journal) is built for exactly this and can be linked to lab runs.

Interactive

An exercise: take three of your most recent runs (or made-up ones). Write one entry per run using the template. Then read all three in sequence and answer:

  • Which hypothesis was the vaguest? Rewrite it falsifiably.
  • Is there a conclusion that is not supported by the result?
  • What is the accumulated learning — one sentence that is not in any single entry?

The last is the point of the journal: patterns over time. Search the journal before every new idea («have I tried a lower k before?»).

Mastery means

  • Writes journal entries with the hypothesis, the setup, the results and the conclusion
  • Links the entries to the runs and the artefacts
  • Uses the journal to avoid repeating mistakes

Sign in to do the exercises and build your mastery up.

Sources

All the sources and licences