feat: auto-project-detection + project stages

Three changes:

1. ABB-Space registered as a lead project with stage=lead in
   Trusted Project State. Projects now have lifecycle awareness
   (lead/proposition vs active contract vs completed).

2. Extraction no longer drops unregistered project tags. When the
   LLM extractor sees a conversation about a project not in the
   registry, it keeps the model's tag on the candidate instead of
   falling back to empty. This enables auto-detection of new
   projects/leads from organic conversations. The nightly pipeline
   surfaces these candidates for triage, where the operator sees
   "hey, there's a new project called X" and can decide whether
   to register it.

3. Extraction prompt updated to tell the model: "If the conversation
   discusses a project NOT in the known list, still tag it — the
   system will auto-detect it." This removes the artificial ceiling
   that prevented new project discovery.

Updated Case D test: unregistered + unscoped now keeps the model's
tag instead of dropping to empty.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

scripts/batch_llm_extract_live.py

@@ -35,7 +35,7 @@ SYSTEM_PROMPT = """You extract durable memory candidates from LLM conversation t
 
 AtoCore stores two kinds of knowledge:
 
-A. PROJECT-SPECIFIC: applied decisions, constraints, and architecture for a named project (p04-gigabit, p05-interferometer, p06-polisher, atomizer-v2, atocore). These stay scoped to one project.
+A. PROJECT-SPECIFIC: applied decisions, constraints, and architecture for a named project. Known projects include p04-gigabit, p05-interferometer, p06-polisher, atomizer-v2, atocore, abb-space. If the conversation discusses a project NOT in this list, still tag it with the project name you identify — the system will auto-detect it as a new project or lead.
 
 B. DOMAIN KNOWLEDGE: generalizable engineering insight that was EARNED through project work and is reusable across projects. Tag these with a domain instead of a project.
 
@@ -213,9 +213,11 @@ def parse_candidates(raw, interaction_project):
         model_project = str(item.get("project") or "").strip()
         domain = str(item.get("domain") or "").strip().lower()
         # R9 trust hierarchy: interaction scope always wins when set.
+        # For unscoped interactions, keep model's project tag even if
+        # unregistered — the system will detect new projects/leads.
         if interaction_project:
             project = interaction_project
-        elif model_project and model_project in _known_projects:
+        elif model_project:
             project = model_project
         else:
             project = ""