feat: structured user profile with LLM-learned preferences

Replaces the freeform briefing-profile note with a DB-backed user_profiles
table. Users can edit job/industry/expertise/response preferences/interests/
work schedule via a new Settings → Profile tab. The LLM appends nightly
observations; at 14+ entries they are auto-consolidated into a learned_summary.
Profile context is injected into both briefing and chat system prompts.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

alembic/versions/0034_add_user_profiles.py

@@ -0,0 +1,53 @@
+"""Add user_profiles table for structured per-user preferences."""
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.dialects.postgresql import ARRAY, JSONB
+
+revision = "0034"
+down_revision = "0033"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        "user_profiles",
+        sa.Column("id", sa.Integer(), primary_key=True),
+        sa.Column(
+            "user_id",
+            sa.Integer(),
+            sa.ForeignKey("users.id", ondelete="CASCADE"),
+            nullable=False,
+            unique=True,
+        ),
+        sa.Column("display_name", sa.Text(), nullable=True),
+        sa.Column("job_title", sa.Text(), nullable=True),
+        sa.Column("industry", sa.Text(), nullable=True),
+        sa.Column("expertise_level", sa.Text(), nullable=True),
+        sa.Column("response_style", sa.Text(), nullable=True),
+        sa.Column("tone", sa.Text(), nullable=True),
+        sa.Column("interests", ARRAY(sa.Text()), nullable=True),
+        sa.Column("work_schedule", JSONB(), nullable=True),
+        sa.Column("learned_summary", sa.Text(), nullable=True),
+        sa.Column("observations_raw", JSONB(), nullable=True),
+        sa.Column("observations_updated_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column(
+            "created_at",
+            sa.DateTime(timezone=True),
+            server_default=sa.func.now(),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated_at",
+            sa.DateTime(timezone=True),
+            server_default=sa.func.now(),
+            nullable=False,
+        ),
+    )
+    op.create_index("ix_user_profiles_user_id", "user_profiles", ["user_id"], unique=True)
+
+
+def downgrade() -> None:
+    op.drop_index("ix_user_profiles_user_id", table_name="user_profiles")
+    op.drop_table("user_profiles")

frontend/src/api/client.ts

@@ -667,3 +667,26 @@ export async function synthesiseSpeech(
   }
   return res.blob()
 }
+
+// ── User Profile ─────────────────────────────────────────────────────────────
+
+export interface UserProfile {
+  display_name: string
+  job_title: string
+  industry: string
+  expertise_level: 'novice' | 'intermediate' | 'expert'
+  response_style: 'concise' | 'balanced' | 'detailed'
+  tone: 'casual' | 'professional' | 'technical'
+  interests: string[]
+  work_schedule: { days?: string[]; start?: string; end?: string }
+  learned_summary: string
+  observations_count: number
+  observations_updated_at: string | null
+}
+
+export const getProfile = () => apiGet<UserProfile>('/api/profile')
+export const updateProfile = (data: Partial<UserProfile>) =>
+  apiPut<UserProfile>('/api/profile', data)
+export const consolidateProfile = () =>
+  apiPost<{ status: string; learned_summary: string }>('/api/profile/consolidate', {})
+export const clearProfileObservations = () => apiDelete('/api/profile/observations')

frontend/src/views/SettingsView.vue

@@ -3,7 +3,7 @@ import { ref, watch, onMounted } from "vue";
 import { useSettingsStore } from "@/stores/settings";
 import { useAuthStore } from "@/stores/auth";
 import { useToastStore } from "@/stores/toast";
-import { apiGet, apiPost, apiPut, apiDelete, listGroups, createGroup, deleteGroup, listGroupMembers, addGroupMember, removeGroupMember, searchUsers, getBriefingConfig, saveBriefingConfig, getBriefingFeeds, createBriefingFeed, deleteBriefingFeed, refreshBriefingFeeds, geocodeAddress, getFableMcpInfo, listApiKeys, createApiKey as apiCreateApiKey, revokeApiKey as apiRevokeApiKey, getVoiceStatus, getVoiceList, type ApiKeyEntry, type GroupEntry, type GroupMember, type UserSearchResult, type BriefingConfig, type BriefingFeed, type VoiceStatusResult, type VoiceEntry } from "@/api/client";
+import { apiGet, apiPost, apiPut, apiDelete, listGroups, createGroup, deleteGroup, listGroupMembers, addGroupMember, removeGroupMember, searchUsers, getBriefingConfig, saveBriefingConfig, getBriefingFeeds, createBriefingFeed, deleteBriefingFeed, refreshBriefingFeeds, geocodeAddress, getFableMcpInfo, listApiKeys, createApiKey as apiCreateApiKey, revokeApiKey as apiRevokeApiKey, getVoiceStatus, getVoiceList, getProfile, updateProfile, consolidateProfile, clearProfileObservations, type ApiKeyEntry, type GroupEntry, type GroupMember, type UserSearchResult, type BriefingConfig, type BriefingFeed, type VoiceStatusResult, type VoiceEntry, type UserProfile } from "@/api/client";
 import { usePushStore } from "@/stores/push";
 import type { User } from "@/types/auth";
 import PaginationBar from "@/components/PaginationBar.vue";
@@ -40,7 +40,7 @@ const appVersion = ref('dev');
 const restoreFileInput = ref<HTMLInputElement | null>(null);
 
 // Migrate stored "admin" → "config"; unknown tabs fall back to "general"
-const VALID_TABS = new Set(["general", "account", "notifications", "integrations", "data", "briefing", "voice", "apikeys", "config", "users", "logs", "groups"]);
+const VALID_TABS = new Set(["general", "account", "profile", "notifications", "integrations", "data", "briefing", "voice", "apikeys", "config", "users", "logs", "groups"]);
 const _stored = localStorage.getItem("settings_tab") ?? "general";
 const activeTab = ref(VALID_TABS.has(_stored) ? (_stored === "admin" ? "config" : _stored) : "general");
 
@@ -546,6 +546,76 @@ async function saveVoiceSettings() {
   }
 }
 
+// ── Profile ──────────────────────────────────────────────────────────────────
+const WORK_DAYS = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
+const profile = ref<UserProfile>({
+  display_name: '', job_title: '', industry: '',
+  expertise_level: 'intermediate', response_style: 'balanced', tone: 'casual',
+  interests: [], work_schedule: {}, learned_summary: '',
+  observations_count: 0, observations_updated_at: null,
+})
+const profileSaving = ref(false)
+const profileSaved = ref(false)
+const consolidating = ref(false)
+const clearingObs = ref(false)
+
+async function loadProfile() {
+  try { profile.value = await getProfile() } catch { /* non-critical */ }
+}
+
+async function saveProfile() {
+  profileSaving.value = true
+  profileSaved.value = false
+  try {
+    profile.value = await updateProfile({
+      display_name: profile.value.display_name,
+      job_title: profile.value.job_title,
+      industry: profile.value.industry,
+      expertise_level: profile.value.expertise_level,
+      response_style: profile.value.response_style,
+      tone: profile.value.tone,
+      interests: profile.value.interests,
+      work_schedule: profile.value.work_schedule,
+    })
+    profileSaved.value = true
+    setTimeout(() => { profileSaved.value = false }, 2000)
+  } catch { toastStore.show('Failed to save profile', 'error') }
+  finally { profileSaving.value = false }
+}
+
+function toggleProfileWorkDay(day: string) {
+  const days = [...(profile.value.work_schedule.days ?? [])]
+  const idx = days.indexOf(day)
+  if (idx >= 0) days.splice(idx, 1)
+  else days.push(day)
+  profile.value.work_schedule = { ...profile.value.work_schedule, days }
+}
+
+async function runConsolidate() {
+  consolidating.value = true
+  try {
+    const result = await consolidateProfile()
+    profile.value.learned_summary = result.learned_summary
+    toastStore.show('Profile updated from observations')
+  } catch { toastStore.show('Consolidation failed', 'error') }
+  finally { consolidating.value = false }
+}
+
+function emptyTagsFetch(): Promise<string[]> { return Promise.resolve([]) }
+
+async function clearObservations() {
+  if (!confirm('Clear all learned observations and the generated summary? This cannot be undone.')) return
+  clearingObs.value = true
+  try {
+    await clearProfileObservations()
+    profile.value.learned_summary = ''
+    profile.value.observations_count = 0
+    profile.value.observations_updated_at = null
+    toastStore.show('Learned data cleared')
+  } catch { toastStore.show('Failed to clear observations', 'error') }
+  finally { clearingObs.value = false }
+}
+
 onMounted(async () => {
   try {
     const v = await apiGet<{ version: string }>('/api/version')
@@ -579,6 +649,9 @@ onMounted(async () => {
     notifySecurityAlerts.value = allSettings.notify_security_alerts !== "false";
   }
 
+  // Load user profile
+  await loadProfile();
+
   // Load voice settings
   if (allSettings.voice_tts_voice) voiceTtsVoice.value = allSettings.voice_tts_voice;
   if (allSettings.voice_tts_speed) voiceTtsSpeed.value = parseFloat(allSettings.voice_tts_speed);
@@ -1240,7 +1313,7 @@ function formatUserDate(iso: string): string {
       <div class="sidebar-group">
         <div class="sidebar-group-label">User</div>
         <button
-          v-for="tab in ['general', 'account', 'notifications', 'integrations', 'data', 'briefing', 'voice', 'apikeys']"
+          v-for="tab in ['general', 'account', 'profile', 'notifications', 'integrations', 'data', 'briefing', 'voice', 'apikeys']"
           :key="tab"
           :class="['sidebar-item', { active: activeTab === tab }]"
           @click="activeTab = tab"
@@ -1461,6 +1534,128 @@ function formatUserDate(iso: string): string {
     </div>
 
     <!-- ── Notifications ── -->
+    <!-- ── Profile ── -->
+    <div v-show="activeTab === 'profile'" class="settings-grid">
+      <section class="settings-section full-width">
+        <h2>About You</h2>
+        <p class="section-desc">This information is used by the assistant to personalise responses in chat and briefings.</p>
+        <div class="assistant-grid">
+          <div class="field">
+            <label>Display Name</label>
+            <input v-model="profile.display_name" type="text" class="input" placeholder="e.g. Alex" />
+            <p class="field-hint">How the assistant addresses you.</p>
+          </div>
+          <div class="field">
+            <label>Job Title</label>
+            <input v-model="profile.job_title" type="text" class="input" placeholder="e.g. Product Manager" />
+          </div>
+          <div class="field">
+            <label>Industry</label>
+            <input v-model="profile.industry" type="text" class="input" placeholder="e.g. Technology" />
+          </div>
+          <div class="field">
+            <label>Expertise Level</label>
+            <select v-model="profile.expertise_level" class="input">
+              <option value="novice">Novice — explain things simply</option>
+              <option value="intermediate">Intermediate — balanced explanations</option>
+              <option value="expert">Expert — assume deep knowledge</option>
+            </select>
+            <p class="field-hint">Calibrates how the assistant explains concepts.</p>
+          </div>
+        </div>
+        <div class="actions">
+          <button class="btn-save" @click="saveProfile" :disabled="profileSaving">{{ profileSaving ? 'Saving…' : 'Save' }}</button>
+          <span v-if="profileSaved" class="saved-msg">Saved!</span>
+        </div>
+      </section>
+
+      <section class="settings-section full-width">
+        <h2>Response Preferences</h2>
+        <div class="assistant-grid">
+          <div class="field">
+            <label>Response Style</label>
+            <select v-model="profile.response_style" class="input">
+              <option value="concise">Concise — short and direct</option>
+              <option value="balanced">Balanced — default</option>
+              <option value="detailed">Detailed — thorough explanations</option>
+            </select>
+          </div>
+          <div class="field">
+            <label>Tone</label>
+            <select v-model="profile.tone" class="input">
+              <option value="casual">Casual — friendly and relaxed</option>
+              <option value="professional">Professional — formal and precise</option>
+              <option value="technical">Technical — jargon-friendly</option>
+            </select>
+          </div>
+        </div>
+        <div class="actions">
+          <button class="btn-save" @click="saveProfile" :disabled="profileSaving">{{ profileSaving ? 'Saving…' : 'Save' }}</button>
+          <span v-if="profileSaved" class="saved-msg">Saved!</span>
+        </div>
+      </section>
+
+      <section class="settings-section full-width">
+        <h2>Interests</h2>
+        <p class="section-desc">Topics you care about — used to personalise news and briefing context.</p>
+        <TagInput v-model="profile.interests" placeholder="Add an interest…" :fetchTags="emptyTagsFetch" />
+        <div class="actions">
+          <button class="btn-save" @click="saveProfile" :disabled="profileSaving">{{ profileSaving ? 'Saving…' : 'Save' }}</button>
+          <span v-if="profileSaved" class="saved-msg">Saved!</span>
+        </div>
+      </section>
+
+      <section class="settings-section full-width">
+        <h2>Work Schedule</h2>
+        <p class="section-desc">Helps the briefing understand when you're working and what's relevant each morning.</p>
+        <div class="field">
+          <label>Work Days</label>
+          <div class="day-picker">
+            <button
+              v-for="day in WORK_DAYS"
+              :key="day"
+              class="day-btn"
+              :class="{ active: (profile.work_schedule.days ?? []).includes(day) }"
+              @click="toggleProfileWorkDay(day)"
+              type="button"
+            >{{ day }}</button>
+          </div>
+        </div>
+        <div class="assistant-grid" style="margin-top:0.75rem">
+          <div class="field">
+            <label>Start Time</label>
+            <input v-model="profile.work_schedule.start" type="time" class="input" />
+          </div>
+          <div class="field">
+            <label>End Time</label>
+            <input v-model="profile.work_schedule.end" type="time" class="input" />
+          </div>
+        </div>
+        <div class="actions">
+          <button class="btn-save" @click="saveProfile" :disabled="profileSaving">{{ profileSaving ? 'Saving…' : 'Save' }}</button>
+          <span v-if="profileSaved" class="saved-msg">Saved!</span>
+        </div>
+      </section>
+
+      <section class="settings-section full-width">
+        <h2>What the Assistant Has Learned</h2>
+        <p class="section-desc">
+          The assistant observes patterns from your briefing conversations and builds a summary over time.
+          <span v-if="profile.observations_count > 0"> {{ profile.observations_count }} raw observation{{ profile.observations_count !== 1 ? 's' : '' }} stored.</span>
+        </p>
+        <div v-if="profile.learned_summary" class="learned-summary">{{ profile.learned_summary }}</div>
+        <div v-else class="learned-empty">No learned summary yet. Observations accumulate from daily briefing conversations.</div>
+        <div class="actions" style="gap:0.5rem;flex-wrap:wrap">
+          <button class="btn-secondary" @click="runConsolidate" :disabled="consolidating || profile.observations_count === 0">
+            {{ consolidating ? 'Consolidating…' : 'Consolidate Now' }}
+          </button>
+          <button class="btn-danger-outline" @click="clearObservations" :disabled="clearingObs">
+            {{ clearingObs ? 'Clearing…' : 'Reset Learned Data' }}
+          </button>
+        </div>
+      </section>
+    </div>
+
     <div v-show="activeTab === 'notifications'" class="settings-grid">
 
       <section class="settings-section">
@@ -3850,6 +4045,66 @@ FABLE_API_KEY=&lt;your-api-key&gt;</pre>
 }
 .voice-admin-spinner span:nth-child(2) { animation-delay: 0.2s; }
 .voice-admin-spinner span:nth-child(3) { animation-delay: 0.4s; }
+
+/* ── Profile tab ─────────────────────────────────────────────────────────── */
+.day-picker {
+  display: flex;
+  gap: 0.35rem;
+  flex-wrap: wrap;
+  margin-top: 0.35rem;
+}
+.day-btn {
+  padding: 0.3rem 0.65rem;
+  border: 1px solid var(--color-border);
+  border-radius: 6px;
+  background: var(--color-bg-card);
+  color: var(--color-text-muted);
+  font-size: 0.82rem;
+  cursor: pointer;
+  transition: all 0.15s;
+  font-family: inherit;
+}
+.day-btn:hover { border-color: var(--color-primary); color: var(--color-primary); }
+.day-btn.active {
+  background: color-mix(in srgb, var(--color-primary) 15%, transparent);
+  border-color: var(--color-primary);
+  color: var(--color-primary);
+  font-weight: 600;
+}
+.learned-summary {
+  background: var(--color-bg-secondary);
+  border: 1px solid var(--color-border);
+  border-left: 3px solid var(--color-primary);
+  border-radius: 8px;
+  padding: 0.85rem 1rem;
+  font-size: 0.9rem;
+  line-height: 1.55;
+  color: var(--color-text);
+  white-space: pre-wrap;
+  margin-bottom: 0.75rem;
+}
+.learned-empty {
+  font-size: 0.85rem;
+  color: var(--color-text-muted);
+  font-style: italic;
+  margin-bottom: 0.75rem;
+}
+.btn-danger-outline {
+  padding: 0.45rem 1rem;
+  background: none;
+  border: 1px solid var(--color-danger, #e74c3c);
+  border-radius: var(--radius-sm);
+  color: var(--color-danger, #e74c3c);
+  font-size: 0.9rem;
+  cursor: pointer;
+  font-family: inherit;
+  transition: background 0.15s, color 0.15s;
+}
+.btn-danger-outline:hover:not(:disabled) {
+  background: var(--color-danger, #e74c3c);
+  color: #fff;
+}
+.btn-danger-outline:disabled { opacity: 0.5; cursor: default; }
 @keyframes va-dot-bounce {
   0%, 80%, 100% { transform: scale(0.6); opacity: 0.4; }
   40% { transform: scale(1); opacity: 1; }

src/fabledassistant/app.py

@@ -32,6 +32,7 @@ from fabledassistant.routes.api_keys import api_keys_bp
 from fabledassistant.routes.events import events_bp
 from fabledassistant.routes.search import search_bp
 from fabledassistant.routes.voice import voice_bp
+from fabledassistant.routes.profile import profile_bp
 
 STATIC_DIR = Path(__file__).parent / "static"
 logger = logging.getLogger(__name__)
@@ -94,6 +95,7 @@ def create_app() -> Quart:
     app.register_blueprint(events_bp)
     app.register_blueprint(search_bp)
     app.register_blueprint(voice_bp)
+    app.register_blueprint(profile_bp)
 
     @app.before_request
     async def before_request():

src/fabledassistant/models/__init__.py

@@ -41,3 +41,4 @@ from fabledassistant.models.notification import Notification  # noqa: E402, F401
 from fabledassistant.models.rss_feed import RssFeed, RssItem  # noqa: E402, F401
 from fabledassistant.models.weather_cache import WeatherCache  # noqa: E402, F401
 from fabledassistant.models.api_key import ApiKey  # noqa: E402, F401
+from fabledassistant.models.user_profile import UserProfile  # noqa: E402, F401

src/fabledassistant/models/user_profile.py

@@ -0,0 +1,55 @@
+from datetime import datetime
+
+from sqlalchemy import DateTime, ForeignKey, Integer, Text
+from sqlalchemy.dialects.postgresql import ARRAY, JSONB
+from sqlalchemy.orm import Mapped, mapped_column
+
+from fabledassistant.models import Base
+from fabledassistant.models.base import TimestampMixin
+
+
+class UserProfile(Base, TimestampMixin):
+    __tablename__ = "user_profiles"
+
+    id: Mapped[int] = mapped_column(primary_key=True)
+    user_id: Mapped[int] = mapped_column(
+        Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, unique=True
+    )
+    display_name: Mapped[str | None] = mapped_column(Text, nullable=True)
+    job_title: Mapped[str | None] = mapped_column(Text, nullable=True)
+    industry: Mapped[str | None] = mapped_column(Text, nullable=True)
+    # novice / intermediate / expert — calibrates explanation depth
+    expertise_level: Mapped[str | None] = mapped_column(Text, nullable=True)
+    # concise / balanced / detailed
+    response_style: Mapped[str | None] = mapped_column(Text, nullable=True)
+    # casual / professional / technical
+    tone: Mapped[str | None] = mapped_column(Text, nullable=True)
+    interests: Mapped[list[str] | None] = mapped_column(ARRAY(Text), nullable=True)
+    # {days: ["Mon","Tue",...], start: "09:00", end: "17:00"}
+    work_schedule: Mapped[dict | None] = mapped_column(JSONB, nullable=True)
+    # LLM-consolidated summary of learned preferences
+    learned_summary: Mapped[str | None] = mapped_column(Text, nullable=True)
+    # [{date: "YYYY-MM-DD", bullets: "..."}, ...]
+    observations_raw: Mapped[list | None] = mapped_column(JSONB, nullable=True)
+    observations_updated_at: Mapped[datetime | None] = mapped_column(
+        DateTime(timezone=True), nullable=True
+    )
+
+    def to_dict(self) -> dict:
+        return {
+            "display_name": self.display_name or "",
+            "job_title": self.job_title or "",
+            "industry": self.industry or "",
+            "expertise_level": self.expertise_level or "intermediate",
+            "response_style": self.response_style or "balanced",
+            "tone": self.tone or "casual",
+            "interests": self.interests or [],
+            "work_schedule": self.work_schedule or {},
+            "learned_summary": self.learned_summary or "",
+            "observations_count": len(self.observations_raw or []),
+            "observations_updated_at": (
+                self.observations_updated_at.isoformat()
+                if self.observations_updated_at
+                else None
+            ),
+        }

src/fabledassistant/routes/profile.py

@@ -0,0 +1,61 @@
+from quart import Blueprint, jsonify, request
+
+from fabledassistant.auth import get_current_user_id, login_required
+from fabledassistant.services.user_profile import (
+    VALID_EXPERTISE,
+    VALID_STYLES,
+    VALID_TONES,
+    clear_learned_data,
+    consolidate_observations,
+    get_profile,
+    update_profile,
+)
+
+profile_bp = Blueprint("profile", __name__, url_prefix="/api/profile")
+
+
+@profile_bp.route("", methods=["GET"])
+@login_required
+async def get_profile_route():
+    uid = get_current_user_id()
+    profile = await get_profile(uid)
+    return jsonify(profile.to_dict())
+
+
+@profile_bp.route("", methods=["PUT"])
+@login_required
+async def update_profile_route():
+    uid = get_current_user_id()
+    data = await request.get_json()
+    if not isinstance(data, dict):
+        return jsonify({"error": "Expected a JSON object"}), 400
+
+    if "expertise_level" in data and data["expertise_level"] not in VALID_EXPERTISE:
+        return jsonify({"error": f"expertise_level must be one of {sorted(VALID_EXPERTISE)}"}), 400
+    if "response_style" in data and data["response_style"] not in VALID_STYLES:
+        return jsonify({"error": f"response_style must be one of {sorted(VALID_STYLES)}"}), 400
+    if "tone" in data and data["tone"] not in VALID_TONES:
+        return jsonify({"error": f"tone must be one of {sorted(VALID_TONES)}"}), 400
+    if "interests" in data and not isinstance(data["interests"], list):
+        return jsonify({"error": "interests must be an array"}), 400
+    if "work_schedule" in data and not isinstance(data["work_schedule"], dict):
+        return jsonify({"error": "work_schedule must be an object"}), 400
+
+    profile = await update_profile(uid, data)
+    return jsonify(profile.to_dict())
+
+
+@profile_bp.route("/consolidate", methods=["POST"])
+@login_required
+async def trigger_consolidate():
+    uid = get_current_user_id()
+    summary = await consolidate_observations(uid)
+    return jsonify({"status": "ok", "learned_summary": summary})
+
+
+@profile_bp.route("/observations", methods=["DELETE"])
+@login_required
+async def clear_observations():
+    uid = get_current_user_id()
+    await clear_learned_data(uid)
+    return jsonify({"status": "ok"})

src/fabledassistant/services/briefing_pipeline.py

@@ -357,7 +357,7 @@ async def run_compilation(
     if model is None:
         model = await get_setting(user_id, "default_model", Config.OLLAMA_MODEL)
 
-    from fabledassistant.services.briefing_profile import get_profile_body
+    from fabledassistant.services.user_profile import build_profile_context
     from fabledassistant.services.briefing_preferences import (
         load_topic_preferences,
         load_topic_reaction_scores,
@@ -365,8 +365,8 @@ async def run_compilation(
     )
     from fabledassistant.services.weather import parse_weather_card_data, get_cached_weather_rows
 
-    profile_body, temp_unit = await asyncio.gather(
-        get_profile_body(user_id),
+    profile_context, temp_unit = await asyncio.gather(
+        build_profile_context(user_id),
         _get_temp_unit(user_id),
     )
 
@@ -424,7 +424,7 @@ async def run_compilation(
     }
 
     briefing_text = await _llm_synthesise(
-        _unified_system_prompt(profile_body),
+        _unified_system_prompt(profile_context),
         _unified_user_prompt(internal_data_filtered, external_data_filtered, slot, temp_unit),
         model,
     )

src/fabledassistant/services/briefing_scheduler.py

@@ -208,7 +208,7 @@ async def _run_profile_closeout(user_id: int, model: str) -> None:
     Read yesterday's briefing conversation, extract preference observations,
     and append them to the briefing profile note.
     """
-    from fabledassistant.services.briefing_profile import append_observations
+    from fabledassistant.services.user_profile import append_observations
     from fabledassistant.services.briefing_pipeline import _llm_synthesise
     from fabledassistant.models.conversation import Conversation, Message
 

src/fabledassistant/services/llm.py

@@ -512,11 +512,16 @@ async def build_context(
     tool_guidance = "\n".join(tool_lines)
 
     tz_line = f" The user's timezone is {user_timezone}." if user_timezone else ""
+
+    from fabledassistant.services.user_profile import build_profile_context
+    profile_context = await build_profile_context(user_id)
+    profile_section = f"\n\n{profile_context}" if profile_context else ""
+
     system_parts = [
         f"You are a helpful assistant named {assistant_name}, integrated into a note-taking and task-tracking app called Fabled Assistant. "
         "Help users with their notes, tasks, and general questions. "
         "When note context is provided, use it to give relevant answers. "
-        f"Today's date is {today}.{tz_line}\n\n"
+        f"Today's date is {today}.{tz_line}{profile_section}\n\n"
         f"{tool_guidance}"
     ]
 

src/fabledassistant/services/user_profile.py

@@ -0,0 +1,203 @@
+"""User profile service — structured per-user preferences for LLM context."""
+import asyncio
+import logging
+from datetime import date, datetime, timedelta, timezone
+
+from sqlalchemy import select
+
+from fabledassistant.models import async_session
+from fabledassistant.models.user_profile import UserProfile
+
+logger = logging.getLogger(__name__)
+
+VALID_EXPERTISE = {"novice", "intermediate", "expert"}
+VALID_STYLES = {"concise", "balanced", "detailed"}
+VALID_TONES = {"casual", "professional", "technical"}
+
+# Trigger consolidation when raw observations reach this count
+_CONSOLIDATION_THRESHOLD = 14
+
+
+async def get_profile(user_id: int) -> UserProfile:
+    """Get or create the profile row for a user."""
+    async with async_session() as session:
+        result = await session.execute(
+            select(UserProfile).where(UserProfile.user_id == user_id)
+        )
+        profile = result.scalar_one_or_none()
+        if profile is None:
+            profile = UserProfile(user_id=user_id)
+            session.add(profile)
+            await session.commit()
+            await session.refresh(profile)
+        return profile
+
+
+async def update_profile(user_id: int, data: dict) -> UserProfile:
+    """Upsert structured profile fields from a validated dict."""
+    allowed = {
+        "display_name", "job_title", "industry", "expertise_level",
+        "response_style", "tone", "interests", "work_schedule",
+    }
+    async with async_session() as session:
+        result = await session.execute(
+            select(UserProfile).where(UserProfile.user_id == user_id)
+        )
+        profile = result.scalar_one_or_none()
+        if profile is None:
+            profile = UserProfile(user_id=user_id)
+            session.add(profile)
+        for key, value in data.items():
+            if key in allowed:
+                setattr(profile, key, value)
+        await session.commit()
+        await session.refresh(profile)
+    return profile
+
+
+async def append_observations(user_id: int, bullets: str) -> None:
+    """
+    Append a new dated observation entry from the day's briefing closeout.
+    Automatically triggers consolidation when the raw list grows large.
+    """
+    if not bullets.strip():
+        return
+
+    async with async_session() as session:
+        result = await session.execute(
+            select(UserProfile).where(UserProfile.user_id == user_id)
+        )
+        profile = result.scalar_one_or_none()
+        if profile is None:
+            profile = UserProfile(user_id=user_id)
+            session.add(profile)
+
+        existing: list = list(profile.observations_raw or [])
+        existing.append({
+            "date": date.today().isoformat(),
+            "bullets": bullets.strip(),
+        })
+        # Keep at most 60 raw entries as a rolling window
+        profile.observations_raw = existing[-60:]
+        profile.observations_updated_at = datetime.now(timezone.utc)
+        await session.commit()
+        raw_count = len(profile.observations_raw or [])
+
+    logger.info("Appended observations for user %d (%d raw entries)", user_id, raw_count)
+
+    if raw_count >= _CONSOLIDATION_THRESHOLD:
+        asyncio.create_task(_consolidate_observations(user_id))
+
+
+async def consolidate_observations(user_id: int) -> str:
+    """Public entry point to manually trigger observation consolidation."""
+    return await _consolidate_observations(user_id)
+
+
+async def clear_learned_data(user_id: int) -> None:
+    """Reset all learned observations and summary for a user."""
+    async with async_session() as session:
+        result = await session.execute(
+            select(UserProfile).where(UserProfile.user_id == user_id)
+        )
+        profile = result.scalar_one_or_none()
+        if profile:
+            profile.learned_summary = None
+            profile.observations_raw = []
+            profile.observations_updated_at = None
+            await session.commit()
+
+
+async def _consolidate_observations(user_id: int) -> str:
+    """
+    LLM pass: synthesise all raw observation bullets into an updated
+    learned_summary paragraph. Prunes raw entries older than 30 days afterwards.
+    """
+    from fabledassistant.config import Config
+    from fabledassistant.services.briefing_pipeline import _llm_synthesise
+    from fabledassistant.services.settings import get_setting
+
+    async with async_session() as session:
+        result = await session.execute(
+            select(UserProfile).where(UserProfile.user_id == user_id)
+        )
+        profile = result.scalar_one_or_none()
+        if not profile or not profile.observations_raw:
+            return ""
+        observations = list(profile.observations_raw)
+        existing_summary = profile.learned_summary or ""
+
+    obs_text = "\n\n".join(
+        f"[{entry['date']}]\n{entry['bullets']}"
+        for entry in observations
+    )
+
+    system = (
+        "You are synthesising preference observations into a concise user profile summary. "
+        "Consolidate the observations into 3-6 factual sentences describing the user's patterns, "
+        "preferences, and habits. Be specific and useful for a personal assistant. "
+        "Merge with any existing summary, removing duplicates and outdated information. "
+        "Output only the consolidated summary paragraph — no preamble, no bullet points."
+    )
+    user_prompt = ""
+    if existing_summary:
+        user_prompt += f"Existing summary:\n{existing_summary}\n\n"
+    user_prompt += f"New observations:\n{obs_text}"
+
+    model = await get_setting(user_id, "default_model", Config.OLLAMA_MODEL)
+    new_summary = await _llm_synthesise(system, user_prompt, model)
+
+    if new_summary:
+        cutoff = (date.today() - timedelta(days=30)).isoformat()
+        async with async_session() as session:
+            result = await session.execute(
+                select(UserProfile).where(UserProfile.user_id == user_id)
+            )
+            profile = result.scalar_one_or_none()
+            if profile:
+                profile.learned_summary = new_summary
+                profile.observations_raw = [
+                    o for o in (profile.observations_raw or [])
+                    if o.get("date", "") >= cutoff
+                ]
+                await session.commit()
+        logger.info("Consolidated observations for user %d", user_id)
+
+    return new_summary
+
+
+async def build_profile_context(user_id: int) -> str:
+    """
+    Build a formatted context string from the user's structured profile
+    for injection into LLM system prompts (briefing and chat).
+    Returns an empty string if no meaningful data is set.
+    """
+    profile = await get_profile(user_id)
+
+    parts: list[str] = []
+
+    if profile.display_name:
+        parts.append(f"User's name: {profile.display_name}")
+    if profile.job_title or profile.industry:
+        job = " in ".join(filter(None, [profile.job_title, profile.industry]))
+        parts.append(f"Occupation: {job}")
+    if profile.expertise_level and profile.expertise_level != "intermediate":
+        parts.append(
+            f"Expertise level: {profile.expertise_level} — calibrate explanation depth accordingly"
+        )
+    if profile.response_style or profile.tone:
+        style = profile.response_style or "balanced"
+        tone = profile.tone or "casual"
+        parts.append(f"Preferred response style: {style}, tone: {tone}")
+    if profile.interests:
+        parts.append(f"Interests: {', '.join(profile.interests)}")
+    if profile.work_schedule:
+        sched = profile.work_schedule
+        days = ", ".join(sched.get("days") or []) or "weekdays"
+        start = sched.get("start", "9:00")
+        end = sched.get("end", "17:00")
+        parts.append(f"Work schedule: {days}, {start}–{end}")
+    if profile.learned_summary:
+        parts.append(f"What the assistant has learned about this user: {profile.learned_summary}")
+
+    return "\n".join(parts)