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Shipped 2026-04-26 · AI
The single biggest complaint about lab notebooks is that they’re a write-only
medium: you capture everything, then can’t find anything. Bower’s hybrid
search helped. This goes further.
What’s new
Bird now reads every note you write — quietly, in the background — and infers
which other artifacts in your workspace it’s related to:
- Protocols — “this experiment looks like it’s running the Western blot
protocol you saved in March.”
- Prior experiments — “this is the third time you’ve measured this
binding affinity; here are the previous two.”
- Attachments — “this gel image looks like the one in note 2026-03-14
competition assay.”
- Concepts — “you mention CRISPR-Cas9 here and in 12 other notes.”
These connections appear as inline link chips at the top of the note view.
Click any chip to jump to the related artifact.
How this differs from manual linking
Linked entities are explicit, user-created
connections — you decide what links to what. Inferred relationships are
suggestions from Bird, made by reading your notes and finding artifacts they
relate to. The two coexist: manual links carry full weight, inferred links
sit alongside them and are clearly labelled so you always know what’s
authoritative.
Where they come from
Inferred relationships run on a nightly batch (no real-time API call per note,
no foreground latency). The pipeline uses semantic similarity (embeddings) +
concept extraction + a graph-aware ranking model. Per-artifact link audits in
the graph view let you accept or reject suggestions; rejected suggestions
won’t reappear.
Why this matters
The links you’d build manually if you had infinite time — Bird builds them
for you, automatically, and updates them as your workspace grows. The result
is a notebook that gets more useful over time, not less.