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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.