The extraction system now produces two kinds of candidates from
the same conversation:
A. PROJECT-SPECIFIC: applied facts scoped to a named project
(unchanged behavior)
B. DOMAIN KNOWLEDGE: generalizable engineering insight earned
through project work, tagged with a domain (physics, materials,
optics, mechanics, manufacturing, metrology, controls, software,
math, finance) and stored with project="" so it surfaces across
all projects.
Critical quality bar enforced in the system prompt: "Would a
competent engineer need experience to know this, or could they
find it in 30 seconds on Google?" Textbook values, definitions,
and obvious facts are explicitly excluded. Only hard-won insight
qualifies — the kind that takes weeks of FEA or real machining
experience to discover.
Domain tags are embedded in the content as a prefix ("[physics]",
"[materials]") so they survive without a schema migration. A future
column can parse them out.
Context builder gains a new tier between project memories and
retrieved chunks:
Tier 1: Trusted Project State (project-specific)
Tier 2: Identity / Preferences (global)
Tier 3: Project Memories (project-specific)
Tier 4: Domain Knowledge (NEW) (cross-project, 10% budget)
Tier 5: Retrieved Chunks (project-boosted)
Trim order: chunks -> domain knowledge -> project memories ->
identity/preference -> project state.
Host-side extraction script updated with the same prompt and
domain-tag handling.
LLM_EXTRACTOR_VERSION bumped to llm-0.3.0.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Anto01
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