on enrich(entity, trigger):
    # trigger: meeting mention, email thread, social interaction, user request

    # Step 1: Identify entities from the incoming signal
    entities = extract_entities(signal)
    #   people names, company names, associations

    # Step 2: Check brain state -- UPDATE or CREATE path?
    for entity in entities:
        existing = modusbrain search "{entity.name}"
        if existing:
            page = modusbrain get <entity_slug>
            path = "UPDATE"
        else:
            path = "CREATE"

    # Step 3: Determine tier -- scale spend to importance
    tier = classify_tier(entity):
        # Tier 1 (10-15 API calls): key people, inner circle, business partners,
        #         portfolio companies. Full pipeline, ALL data sources.
        # Tier 2 (3-5 API calls): notable people, occasional interactions.
        #         Web search + social + brain cross-reference.
        # Tier 3 (1-2 API calls): minor mentions, everyone else worth tracking.
        #         Brain cross-reference + social lookup if handle known.

    # Step 4: Run external lookups (priority order, stop when enough signal)
    data = {}
    data["brain"] = modusbrain search "{entity.name}"          # Always first (free)
    if tier <= 2:
        data["web"] = brave_search("{entity.name}")        # Background, press, talks
    if tier <= 2:
        data["twitter"] = twitter_lookup(entity.handle)    # Beliefs, building, network
    if tier == 1:
        data["linkedin"] = crustdata_enrich(entity.name)   # Career, connections
        data["research"] = happenstance_research(entity)   # Career arcs, web presence
        data["funding"] = captain_api(entity.company)      # Funding, valuation, team
        data["meetings"] = circleback_search(entity.name)  # Transcript search
        data["contacts"] = google_contacts(entity.email)   # Contact data

    # Step 5: Store raw data (auditable, re-processable)
    modusbrain put_raw_data <entity_slug> \
        --data '{"sources": {"crustdata": {"fetched_at": "...", "data": {...}}, ...}}'
    # Overwrite on re-enrichment, don't append

    # Step 6: Write to brain page
    if path == "CREATE":
        modusbrain put <entity_slug> --content "<compiled_truth_from_all_sources>"
        modusbrain add_timeline_entry <entity_slug> --entry "Page created via enrichment"
    elif path == "UPDATE":
        # Append timeline, update compiled truth ONLY if materially new
        modusbrain add_timeline_entry <entity_slug> --entry "Enriched: {new_signal}"
        # Flag contradictions -- don't silently resolve them

    # Step 7: Cross-reference the graph
    modusbrain add_link <person_slug> <company_slug>       # person -> company
    modusbrain add_link <company_slug> <person_slug>       # company -> person
    modusbrain add_link <person_slug> <deal_slug>          # person -> deal
    # Every entity page links to every other entity page that references it

# People page sections (not a LinkedIn profile -- a living portrait):
#   Executive Summary, State, What They Believe, What They're Building,
#   What Motivates Them, Assessment, Trajectory, Relationship, Contact, Timeline
# Facts are table stakes. TEXTURE is the value.

# Extract texture, not just facts:
#   Opinion expressed?        -> What They Believe
#   Building or shipping?     -> What They're Building
#   Emotion expressed?        -> What Makes Them Tick
#   Who did they engage with? -> Network / Relationship
#   Recurring topic?          -> Hobby Horses
#   Committed to something?   -> Open Threads
#   Energy level?             -> Trajectory