diff --git a/TODO.md b/TODO.md
index 9bbc36c..4e07213 100644
--- a/TODO.md
+++ b/TODO.md
@@ -219,20 +219,20 @@ Construire et envoyer le message XMPP structuré via un compte bot dédié (mess
 
 Composer et orchestrer toutes les étapes avec gestion d'erreurs dégradée et mode dry-run.
 
-- [ ] Compléter si nécessaire la hiérarchie canonique dans `pronote_sync/errors.py` (`ErrorSeverity`, `PipelineError`, `PipelineWarning`, `PipelineCriticalError`) ; ne pas créer de doublon dans `pipeline/steps/errors.py`.
-- [ ] Créer les étapes `pipeline/steps/` : `fetch.py`, `normalize.py`, `compare.py`, `caldav_sync.py`, `synthesis.py`, `send.py`, `fetch_blog.py`.
-- [ ] Créer `pipeline/run.py` : `PipelineRunner` (composition root) orchestrant fetch → normalize → fetch_blog → compare → caldav_sync → synthesis → send.
-- [ ] Gérer les erreurs dégradées (continuer sauf critique) et renvoyer `(PronoteData, erreurs + warns)`.
-- [ ] Implémenter le mode `dry_run` (aucune écriture CalDAV/XMPP).
-- [ ] Câbler l'injection des dépendances (Protocol + composition root), sans singleton global.
-- [ ] Réutiliser, dans une même exécution, un unique téléchargement/parsing iCal pour l'agenda et les devoirs lorsque les sources sélectionnées le permettent ; rester sur un cache local au run, sans cache global ni persistant.
+- [x] Compléter si nécessaire la hiérarchie canonique dans `pronote_sync/errors.py` (`ErrorSeverity`, `PipelineError`, `PipelineWarning`, `PipelineCriticalError`) ; ne pas créer de doublon dans `pipeline/steps/errors.py`.
+- [x] Créer les étapes `pipeline/steps/` : `fetch.py`, `normalize.py`, `compare.py`, `caldav_sync.py`, `synthesis.py`, `send.py`, `fetch_blog.py`.
+- [x] Créer `pipeline/run.py` : `PipelineRunner` (composition root) orchestrant fetch → normalize → fetch_blog → compare → caldav_sync → synthesis → send.
+- [x] Gérer les erreurs dégradées (continuer sauf critique) et renvoyer `(PronoteData, erreurs + warns)`.
+- [x] Implémenter le mode `dry_run` (aucune écriture CalDAV/XMPP).
+- [x] Câbler l'injection des dépendances (Protocol + composition root), sans singleton global.
+- [x] Réutiliser, dans une même exécution, un unique téléchargement/parsing iCal pour l'agenda et les devoirs lorsque les sources sélectionnées le permettent ; rester sur un cache local au run, sans cache global ni persistant.
 
 ### Critères d'acceptation
-- Le pipeline complet s'exécute de bout en bout (mocks) dans le bon ordre.
-- Une sélection iCal commune à l'agenda et aux devoirs ne déclenche qu'un téléchargement/parsing du flux par run.
-- Une erreur non critique (ex : synthèse IA) n'empêche pas l'envoi XMPP.
-- `dry_run=True` n'effectue aucune écriture ; aucune source disponible → erreur critique explicite.
-- Si `THEORETICAL_AGENDA_PATH` est absent, le pipeline produit un diff vide sans erreur et n'instancie pas `AgendaComparator` ; si présent, il instancie le comparateur et effectue la comparaison.
+- [x] Le pipeline complet s'exécute de bout en bout (mocks) dans le bon ordre.
+- [x] Une sélection iCal commune à l'agenda et aux devoirs ne déclenche qu'un téléchargement/parsing du flux par run.
+- [x] Une erreur non critique (ex : synthèse IA) n'empêche pas l'envoi XMPP.
+- [x] `dry_run=True` n'effectue aucune écriture ; aucune source disponible → erreur critique explicite.
+- [x] Si `THEORETICAL_AGENDA_PATH` est absent, le pipeline produit un diff vide sans erreur et n'instancie pas `AgendaComparator` ; si présent, il instancie le comparateur et effectue la comparaison.
 
 ---
 
diff --git a/pronote_sync/errors.py b/pronote_sync/errors.py
index 58d0369..ee9e166 100644
--- a/pronote_sync/errors.py
+++ b/pronote_sync/errors.py
@@ -2,6 +2,8 @@
 
 from __future__ import annotations
 
+from enum import StrEnum
+
 
 class PronoteSyncError(Exception):
     """Erreur de base pour toutes les exceptions du projet pronote-sync.
@@ -16,24 +18,67 @@ class PronoteSyncError(Exception):
         :param message: Message décrivant la cause de l'erreur.
         """
         super().__init__(message)
+        self.message = message
 
 
-class PipelineCriticalError(PronoteSyncError):
+class ErrorSeverity(StrEnum):
+    """Niveau de gravité d'une erreur produite par le pipeline."""
+
+    WARNING = "warning"
+    CRITICAL = "critical"
+
+
+class PipelineError(PronoteSyncError):
+    """Erreur structurée produite par une étape du pipeline.
+
+    :ivar severity: Niveau de gravité de l'erreur.
+    :ivar step: Étape ayant produit l'erreur, si elle est connue.
+    :ivar recoverable: Indique si le pipeline peut poursuivre son exécution.
+    """
+
+    def __init__(
+        self,
+        message: str,
+        *,
+        severity: ErrorSeverity = ErrorSeverity.WARNING,
+        step: str | None = None,
+        recoverable: bool = True,
+    ) -> None:
+        """Initialise une erreur de pipeline.
+
+        :param message: Message descriptif expurgé.
+        :param severity: Niveau de gravité associé.
+        :param step: Étape ayant produit l'erreur.
+        :param recoverable: ``True`` si le pipeline peut continuer.
+        """
+        super().__init__(message)
+        self.severity = severity
+        self.step = step
+        self.recoverable = recoverable
+
+
+class PipelineCriticalError(PipelineError):
     """Erreur critique du pipeline, levée quand aucune récupération n'est possible.
 
     Par exemple : échec simultané des sources iCal et pronotepy,
     rendant impossible toute synchronisation.
     """
 
-    def __init__(self, message: str) -> None:
+    def __init__(self, message: str, step: str | None = None) -> None:
         """Initialise l'erreur critique avec un message descriptif.
 
         :param message: Message décrivant la cause de l'erreur critique.
+        :param step: Étape ayant produit l'erreur critique.
         """
-        super().__init__(message)
+        super().__init__(
+            message,
+            severity=ErrorSeverity.CRITICAL,
+            step=step,
+            recoverable=False,
+        )
 
 
-class PipelineWarning(PronoteSyncError):
+class PipelineWarning(PipelineError):
     """Avertissement non bloquant pour une erreur récupérable du pipeline.
 
     Contrairement à :class:`PipelineCriticalError`, cet avertissement signale
@@ -54,6 +99,9 @@ class PipelineWarning(PronoteSyncError):
         :param message: Message décrivant la cause de l'avertissement.
         :param step: Étape du pipeline ayant produit l'avertissement.
         """
-        super().__init__(message)
-        self.recoverable = True
-        self.step = step
+        super().__init__(
+            message,
+            severity=ErrorSeverity.WARNING,
+            step=step,
+            recoverable=True,
+        )
diff --git a/pronote_sync/pipeline/__init__.py b/pronote_sync/pipeline/__init__.py
index e69de29..d012fa9 100644
--- a/pronote_sync/pipeline/__init__.py
+++ b/pronote_sync/pipeline/__init__.py
@@ -0,0 +1,5 @@
+"""Orchestration du pipeline Pronote → CalDAV → XMPP."""
+
+from pronote_sync.pipeline.run import PipelineRunner
+
+__all__ = ["PipelineRunner"]
diff --git a/pronote_sync/pipeline/run.py b/pronote_sync/pipeline/run.py
new file mode 100644
index 0000000..f6bfcb0
--- /dev/null
+++ b/pronote_sync/pipeline/run.py
@@ -0,0 +1,281 @@
+"""Composition root et orchestrateur du pipeline Pronote → CalDAV → XMPP."""
+
+from __future__ import annotations
+
+import logging
+from collections.abc import Callable
+from contextlib import AbstractContextManager, nullcontext
+from datetime import datetime
+from typing import Protocol, runtime_checkable
+
+from pronote_sync.channels import get_channel
+from pronote_sync.channels.protocol import Channel
+from pronote_sync.config.settings import Settings
+from pronote_sync.errors import PipelineCriticalError, PipelineError, PipelineWarning
+from pronote_sync.models.blog import ExternalInfo
+from pronote_sync.models.pronote import PronoteData
+from pronote_sync.models.sync import CalDAVSyncResult, CalDAVSyncStatus
+from pronote_sync.models.synthesis import SynthesisInput
+from pronote_sync.models.xmpp import XmppMessage
+from pronote_sync.pipeline.steps.caldav_sync import CalDAVSynchronizer, caldav_sync_step
+from pronote_sync.pipeline.steps.compare import compare_step
+from pronote_sync.pipeline.steps.fetch import fetch_step
+from pronote_sync.pipeline.steps.fetch_blog import fetch_blog_step
+from pronote_sync.pipeline.steps.normalize import normalize_step
+from pronote_sync.pipeline.steps.send import send_step
+from pronote_sync.pipeline.steps.synthesis import synthesis_step
+from pronote_sync.sources.blog.rss import BlogRSSClient
+from pronote_sync.sources.blog.state import BlogRSSState
+from pronote_sync.sources.pronote.client import PronoteClient
+from pronote_sync.sources.pronote.fallback import PronoteFetcher, PronoteFetcherProtocol
+from pronote_sync.sources.theoretical import get_theoretical_provider
+from pronote_sync.sync.diff import AgendaComparator
+from pronote_sync.sync.synchronizer import synchronize
+from pronote_sync.synthesis import get_synthesis_provider
+from pronote_sync.synthesis.provider import SynthesisProvider
+from pronote_sync.utils.redaction import redact_exception, redact_secrets
+
+logger = logging.getLogger(__name__)
+
+
+def _synchronize_caldav(data: PronoteData, settings: Settings) -> CalDAVSyncResult:
+    """Adapte le synchroniseur CalDAV de production au protocole injecté.
+
+    :param data: Données Pronote normalisées à synchroniser.
+    :param settings: Configuration effective de l'exécution.
+    :return: Résultat de la synchronisation CalDAV.
+    :rtype: CalDAVSyncResult
+    """
+    return synchronize(data, settings)
+
+
+@runtime_checkable
+class _RunContextFetcher(PronoteFetcherProtocol, Protocol):
+    """Protocole interne d'un fetcher capable d'isoler un cache par run."""
+
+    def run_context(self) -> AbstractContextManager[None]:
+        """Retourne le contexte de durée de vie d'une exécution.
+
+        :return: Contexte éphémère associé à l'exécution.
+        :rtype: AbstractContextManager[None]
+        """
+        ...
+
+
+class PipelineRunner:
+    """Orchestre les étapes fetch → normalize → blog → compare → CalDAV → IA → XMPP.
+
+    Toutes les dépendances sont injectables. La méthode :meth:`from_settings`
+    constitue la composition root de production et ne crée aucun singleton.
+    """
+
+    def __init__(
+        self,
+        *,
+        settings: Settings,
+        pronote_fetcher: PronoteFetcherProtocol,
+        caldav_synchronizer: CalDAVSynchronizer = _synchronize_caldav,
+        agenda_comparator: AgendaComparator | None = None,
+        synthesis_provider: SynthesisProvider | None = None,
+        channel: Channel | None = None,
+        blog_client: BlogRSSClient | None = None,
+        blog_state: BlogRSSState | None = None,
+        dry_run: bool | None = None,
+        now_provider: Callable[[], datetime] = datetime.now,
+    ) -> None:
+        """Initialise un pipeline entièrement injectable.
+
+        :param settings: Configuration de base du pipeline.
+        :param pronote_fetcher: Source Pronote à utiliser.
+        :param caldav_synchronizer: Service CalDAV injecté.
+        :param agenda_comparator: Comparateur théorique, absent si désactivé.
+        :param synthesis_provider: Fournisseur IA optionnel.
+        :param channel: Canal XMPP optionnel.
+        :param blog_client: Client RSS optionnel.
+        :param blog_state: État RSS associé au client optionnel.
+        :param dry_run: Surcharge optionnelle du mode dry-run de la configuration.
+        :param now_provider: Horloge injectée pour rendre l'exécution testable.
+        """
+        self._settings = settings
+        self._pronote_fetcher = pronote_fetcher
+        self._caldav_synchronizer = caldav_synchronizer
+        self._agenda_comparator = agenda_comparator
+        self._synthesis_provider = synthesis_provider
+        self._channel = channel
+        self._blog_client = blog_client
+        self._blog_state = blog_state
+        self._dry_run = settings.app.dry_run if dry_run is None else dry_run
+        self._now_provider = now_provider
+        self._errors: list[PipelineError] = []
+        self._warnings: list[PipelineWarning] = []
+
+    @classmethod
+    def from_settings(cls, settings: Settings, *, dry_run: bool | None = None) -> PipelineRunner:
+        """Construit les dépendances de production sans singleton global.
+
+        :param settings: Configuration validée de l'application.
+        :param dry_run: Surcharge optionnelle du mode dry-run.
+        :return: Pipeline prêt à être exécuté.
+        :rtype: PipelineRunner
+        """
+        effective_dry_run = settings.app.dry_run if dry_run is None else dry_run
+        theoretical_provider = get_theoretical_provider(
+            settings.app.theoretical_agenda_path,
+            settings.app.school_holidays_path,
+            settings.app.theoretical_week_anchor_date,
+            settings.app.theoretical_week_anchor_type,
+        )
+        comparator = (
+            AgendaComparator(theoretical_provider) if theoretical_provider is not None else None
+        )
+        blog_client = BlogRSSClient(settings.blog.rss_url) if settings.blog.enabled else None
+        blog_state = BlogRSSState() if settings.blog.enabled else None
+        return cls(
+            settings=settings,
+            pronote_fetcher=PronoteFetcher(settings, PronoteClient(settings.pronote)),
+            agenda_comparator=comparator,
+            synthesis_provider=get_synthesis_provider(settings.ai),
+            channel=get_channel(settings.xmpp, dry_run=effective_dry_run),
+            blog_client=blog_client,
+            blog_state=blog_state,
+            dry_run=effective_dry_run,
+        )
+
+    def _effective_settings(self) -> Settings:
+        """Retourne la configuration dont le dry-run reflète l'exécution courante.
+
+        :return: Copie de configuration à passer aux dépendances.
+        :rtype: Settings
+        """
+        if self._settings.app.dry_run == self._dry_run:
+            return self._settings
+        return self._settings.model_copy(
+            update={"app": self._settings.app.model_copy(update={"dry_run": self._dry_run})}
+        )
+
+    def _run_context(self) -> AbstractContextManager[None]:
+        """Retourne le contexte isolant les éventuels caches de source.
+
+        :return: Contexte de durée de vie du run, vide pour un fetcher générique.
+        :rtype: AbstractContextManager[None]
+        """
+        if isinstance(self._pronote_fetcher, _RunContextFetcher):
+            return self._pronote_fetcher.run_context()
+        return nullcontext()
+
+    def _warn(self, step: str, message: str) -> None:
+        """Enregistre et journalise un avertissement expurgé.
+
+        :param step: Étape ayant échoué.
+        :param message: Message déjà expurgé.
+        """
+        warning = PipelineWarning(message, step=step)
+        self._warnings.append(warning)
+        logger.warning("Étape %s dégradée : %s", step, warning.message)
+
+    def run(self) -> tuple[PronoteData | None, list[PipelineError]]:
+        """Exécute le pipeline complet dans l'ordre contractuel.
+
+        Une erreur de récupération critique interrompt l'exécution. Les erreurs
+        des étapes facultatives sont converties en :class:`PipelineWarning` afin
+        que les étapes suivantes, notamment XMPP, restent exécutées.
+
+        :return: Données Pronote normalisées ou ``None``, puis erreurs et avertissements.
+        :rtype: tuple[PronoteData | None, list[PipelineError]]
+        """
+        self._errors = []
+        self._warnings = []
+        now = self._now_provider()
+        effective_settings = self._effective_settings()
+        try:
+            with self._run_context():
+                fetched, fetch_warnings = fetch_step(self._pronote_fetcher, today=now.date())
+                self._warnings.extend(fetch_warnings)
+                data = normalize_step(fetched, generated_at=now)
+
+                try:
+                    blog_articles = fetch_blog_step(self._blog_client, self._blog_state)
+                except Exception as exc:
+                    self._warn("fetch_blog", redact_exception(exc))
+                    blog_articles = []
+
+                try:
+                    agenda_diff = compare_step(self._agenda_comparator, data)
+                except Exception as exc:
+                    self._warn("compare", redact_exception(exc))
+                    from pronote_sync.models.diff import AgendaDiff
+
+                    agenda_diff = AgendaDiff(target_date=data.target_date)
+
+                try:
+                    sync_result = caldav_sync_step(
+                        self._caldav_synchronizer, data, effective_settings
+                    )
+                    if sync_result.status is CalDAVSyncStatus.FAILED:
+                        caldav_errors = redact_secrets(
+                            "; ".join(sync_result.errors),
+                            extra_secrets=(effective_settings.caldav.password,)
+                            if effective_settings.caldav.password is not None
+                            else (),
+                        )
+                        self._warn("caldav_sync", caldav_errors or "Échec CalDAV")
+                except Exception as exc:
+                    self._warn("caldav_sync", redact_exception(exc))
+
+                try:
+                    synthesis = synthesis_step(
+                        self._synthesis_provider,
+                        SynthesisInput(
+                            agenda_diff=agenda_diff,
+                            messages=data.messages,
+                            school_events=data.school_events,
+                            target_date=data.target_date,
+                        ),
+                    )
+                except Exception as exc:
+                    self._warn("synthesis", redact_exception(exc))
+                    synthesis = None
+
+                message = XmppMessage(
+                    target_date=data.target_date,
+                    synthesis=synthesis.text if synthesis is not None else None,
+                    homeworks=tuple(data.homeworks),
+                    changes=agenda_diff.changes,
+                    messages=tuple(data.messages),
+                    external_info=ExternalInfo(blog_articles=tuple(blog_articles))
+                    if blog_articles
+                    else None,
+                )
+                if self._channel is not None and not self._dry_run:
+                    try:
+                        if not send_step(self._channel, message):
+                            self._warn("send", "Le canal XMPP a refusé l'envoi")
+                    except Exception as exc:
+                        self._warn("send", redact_exception(exc))
+                return data, [*self._errors, *self._warnings]
+        except PipelineCriticalError as exc:
+            logger.error("Erreur critique du pipeline : %s", exc.message)
+            self._errors.append(exc)
+        except Exception as exc:
+            error = PipelineCriticalError(
+                f"Erreur inattendue du pipeline : {redact_exception(exc)}", step="pipeline"
+            )
+            logger.error("Erreur critique du pipeline : %s", error.message)
+            self._errors.append(error)
+        return None, [*self._errors, *self._warnings]
+
+    def get_errors(self) -> list[PipelineError]:
+        """Retourne les erreurs critiques de la dernière exécution.
+
+        :return: Copie des erreurs critiques.
+        :rtype: list[PipelineError]
+        """
+        return list(self._errors)
+
+    def get_warnings(self) -> list[PipelineWarning]:
+        """Retourne les avertissements de la dernière exécution.
+
+        :return: Copie des avertissements non bloquants.
+        :rtype: list[PipelineWarning]
+        """
+        return list(self._warnings)
diff --git a/pronote_sync/pipeline/steps/__init__.py b/pronote_sync/pipeline/steps/__init__.py
index e69de29..a704144 100644
--- a/pronote_sync/pipeline/steps/__init__.py
+++ b/pronote_sync/pipeline/steps/__init__.py
@@ -0,0 +1,19 @@
+"""Étapes isolées utilisées par l'orchestrateur du pipeline."""
+
+from pronote_sync.pipeline.steps.caldav_sync import caldav_sync_step
+from pronote_sync.pipeline.steps.compare import compare_step
+from pronote_sync.pipeline.steps.fetch import fetch_step
+from pronote_sync.pipeline.steps.fetch_blog import fetch_blog_step
+from pronote_sync.pipeline.steps.normalize import normalize_step
+from pronote_sync.pipeline.steps.send import send_step
+from pronote_sync.pipeline.steps.synthesis import synthesis_step
+
+__all__ = [
+    "caldav_sync_step",
+    "compare_step",
+    "fetch_blog_step",
+    "fetch_step",
+    "normalize_step",
+    "send_step",
+    "synthesis_step",
+]
diff --git a/pronote_sync/pipeline/steps/caldav_sync.py b/pronote_sync/pipeline/steps/caldav_sync.py
new file mode 100644
index 0000000..3475166
--- /dev/null
+++ b/pronote_sync/pipeline/steps/caldav_sync.py
@@ -0,0 +1,37 @@
+"""Étape d'appel à la synchronisation CalDAV."""
+
+from __future__ import annotations
+
+from typing import Protocol
+
+from pronote_sync.config.settings import Settings
+from pronote_sync.models.pronote import PronoteData
+from pronote_sync.models.sync import CalDAVSyncResult
+
+
+class CalDAVSynchronizer(Protocol):
+    """Protocole injectable de synchronisation CalDAV."""
+
+    def __call__(self, data: PronoteData, settings: Settings) -> CalDAVSyncResult:
+        """Synchronise les données Pronote vers CalDAV.
+
+        :param data: Données Pronote normalisées.
+        :param settings: Configuration effective de l'exécution.
+        :return: Résultat de la synchronisation.
+        :rtype: CalDAVSyncResult
+        """
+        ...
+
+
+def caldav_sync_step(
+    synchronizer: CalDAVSynchronizer, data: PronoteData, settings: Settings
+) -> CalDAVSyncResult:
+    """Exécute la synchronisation CalDAV injectée.
+
+    :param synchronizer: Service de synchronisation injecté.
+    :param data: Données Pronote normalisées.
+    :param settings: Configuration effective de l'exécution.
+    :return: Résultat CalDAV.
+    :rtype: CalDAVSyncResult
+    """
+    return synchronizer(data, settings)
diff --git a/pronote_sync/pipeline/steps/compare.py b/pronote_sync/pipeline/steps/compare.py
new file mode 100644
index 0000000..781377b
--- /dev/null
+++ b/pronote_sync/pipeline/steps/compare.py
@@ -0,0 +1,20 @@
+"""Étape de comparaison de l'agenda réel avec l'agenda théorique."""
+
+from __future__ import annotations
+
+from pronote_sync.models.diff import AgendaDiff
+from pronote_sync.models.pronote import PronoteData
+from pronote_sync.sync.diff import AgendaComparator
+
+
+def compare_step(comparator: AgendaComparator | None, data: PronoteData) -> AgendaDiff:
+    """Compare l'agenda ou retourne un diff vide si la comparaison est désactivée.
+
+    :param comparator: Comparateur configuré, ou ``None`` sans agenda théorique.
+    :param data: Données Pronote normalisées.
+    :return: Diff d'agenda pour la date cible.
+    :rtype: AgendaDiff
+    """
+    if comparator is None:
+        return AgendaDiff(target_date=data.target_date)
+    return comparator.compare(data.lessons, data.target_date)
diff --git a/pronote_sync/pipeline/steps/fetch.py b/pronote_sync/pipeline/steps/fetch.py
new file mode 100644
index 0000000..842bd52
--- /dev/null
+++ b/pronote_sync/pipeline/steps/fetch.py
@@ -0,0 +1,126 @@
+"""Étape de récupération des données Pronote pour une exécution du pipeline."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from datetime import date
+
+from pronote_sync.errors import PipelineCriticalError, PipelineWarning
+from pronote_sync.models.agenda import Lesson, SchoolEvent
+from pronote_sync.models.homework import Homework
+from pronote_sync.models.message import Message
+from pronote_sync.sources.pronote.fallback import PronoteFetcherProtocol
+from pronote_sync.utils.redaction import redact_exception
+
+
+@dataclass(frozen=True)
+class FetchedPronoteData:
+    """Représente les données brutes récupérées pendant une exécution.
+
+    :ivar lessons: Cours récupérés depuis la source sélectionnée.
+    :ivar homeworks: Devoirs destinés à la date cible.
+    :ivar school_events: Événements scolaires récupérés avec l'agenda.
+    :ivar messages: Messages et informations Pronote disponibles.
+    :ivar target_date: Date cible du digest.
+    """
+
+    lessons: list[Lesson]
+    homeworks: list[Homework]
+    school_events: list[SchoolEvent]
+    messages: list[Message]
+    target_date: date
+
+
+def resolve_target_date(
+    today: date, lessons: list[Lesson], school_events: list[SchoolEvent]
+) -> date:
+    """Détermine la date cible du digest à partir de l'agenda disponible.
+
+    La règle privilégie J+1 lorsqu'il contient des cours. Si la journée en
+    cours contient des cours mais pas J+1, le prochain cours connu est choisi.
+    Sans cours correspondant, J+1 est conservé, y compris pendant les vacances.
+
+    :param today: Date de référence de l'exécution.
+    :param lessons: Cours récupérés pour la fenêtre de synchronisation.
+    :param school_events: Événements scolaires récupérés (réservés aux évolutions
+        du libellé de jour sans cours).
+    :return: Date cible du digest.
+    :rtype: date
+    """
+    del school_events
+    tomorrow = date.fromordinal(today.toordinal() + 1)
+    lesson_dates = {lesson.start.date() for lesson in lessons}
+    if tomorrow in lesson_dates:
+        return tomorrow
+    if today in lesson_dates:
+        future_dates = sorted(day for day in lesson_dates if day > today)
+        if future_dates:
+            return future_dates[0]
+    return tomorrow
+
+
+def _fetch_optional_messages(
+    fetcher: PronoteFetcherProtocol,
+) -> tuple[list[Message], list[PipelineWarning]]:
+    """Récupère les messages et informations sans bloquer le pipeline.
+
+    :param fetcher: Fetcher Pronote configuré.
+    :return: Messages disponibles et avertissements éventuels.
+    :rtype: tuple[list[Message], list[PipelineWarning]]
+    """
+    messages: list[Message] = []
+    warnings: list[PipelineWarning] = []
+    for step, method in (
+        ("fetch_messages", fetcher.fetch_messages),
+        ("fetch_informations", fetcher.fetch_informations),
+    ):
+        try:
+            messages.extend(method())
+        except Exception as exc:
+            warnings.append(
+                PipelineWarning(
+                    f"Récupération non critique échouée : {redact_exception(exc)}",
+                    step=step,
+                )
+            )
+    return messages, warnings
+
+
+def fetch_step(
+    fetcher: PronoteFetcherProtocol, *, today: date | None = None
+) -> tuple[FetchedPronoteData, list[PipelineWarning]]:
+    """Récupère les données Pronote critiques et les compléments dégradables.
+
+    L'agenda et les devoirs sont critiques : leur échec empêche de produire un
+    digest fiable et est donc propagé comme :class:`PipelineCriticalError`.
+    Les messages et informations sont facultatifs ; leur échec produit un
+    avertissement et une liste partielle reste valide.
+
+    :param fetcher: Fetcher Pronote configuré.
+    :param today: Date de référence, injectée par les tests ; J courant par défaut.
+    :return: Données récupérées et avertissements non critiques.
+    :rtype: tuple[FetchedPronoteData, list[PipelineWarning]]
+    :raises PipelineCriticalError: Si l'agenda ou les devoirs ne sont pas disponibles.
+    """
+    try:
+        lessons, school_events = fetcher.fetch_agenda()
+        target_date = resolve_target_date(today or date.today(), lessons, school_events)
+        homeworks = fetcher.fetch_homework(target_date)
+    except PipelineCriticalError:
+        raise
+    except Exception as exc:
+        raise PipelineCriticalError(
+            f"Récupération Pronote impossible : {redact_exception(exc)}", step="fetch"
+        ) from None
+
+    messages, warnings = _fetch_optional_messages(fetcher)
+    return (
+        FetchedPronoteData(
+            lessons=lessons,
+            homeworks=homeworks,
+            school_events=school_events,
+            messages=messages,
+            target_date=target_date,
+        ),
+        warnings,
+    )
diff --git a/pronote_sync/pipeline/steps/fetch_blog.py b/pronote_sync/pipeline/steps/fetch_blog.py
new file mode 100644
index 0000000..16c888b
--- /dev/null
+++ b/pronote_sync/pipeline/steps/fetch_blog.py
@@ -0,0 +1,32 @@
+"""Étape de récupération non bloquante des articles RSS du collège."""
+
+from __future__ import annotations
+
+from pronote_sync.models.blog import BlogArticle
+from pronote_sync.sources.blog.rss import BlogRSSClient
+from pronote_sync.sources.blog.state import BlogRSSState
+from pronote_sync.utils.redaction import redact_exception
+
+
+def fetch_blog_step(client: BlogRSSClient | None, state: BlogRSSState | None) -> list[BlogArticle]:
+    """Récupère les articles RSS nouveaux en conservant l'état du client.
+
+    :param client: Client RSS configuré, ou ``None`` lorsque le blog est désactivé.
+    :param state: État de déduplication et de cache HTTP associé au run.
+    :return: Nouveaux articles du blog.
+    :rtype: list[BlogArticle]
+    :raises RuntimeError: Si la récupération RSS injectée échoue.
+    """
+    if client is None or state is None:
+        return []
+    try:
+        etag, last_modified = state.get_cache_headers()
+        result = client.fetch_and_parse(
+            known_guids=state.get_known_guids(), etag=etag, last_modified=last_modified
+        )
+        if not result.not_modified:
+            state.add_guids(article.id for article in result.articles)
+            state.update_cache_headers(result.etag, result.last_modified)
+        return list(result.articles)
+    except Exception as exc:
+        raise RuntimeError(f"Récupération du blog échouée : {redact_exception(exc)}") from None
diff --git a/pronote_sync/pipeline/steps/normalize.py b/pronote_sync/pipeline/steps/normalize.py
new file mode 100644
index 0000000..b84056c
--- /dev/null
+++ b/pronote_sync/pipeline/steps/normalize.py
@@ -0,0 +1,31 @@
+"""Étape de normalisation et d'ordonnancement déterministe des données Pronote."""
+
+from __future__ import annotations
+
+from datetime import datetime
+
+from pronote_sync.models.pronote import PronoteData
+from pronote_sync.pipeline.steps.fetch import FetchedPronoteData
+
+
+def normalize_step(fetched: FetchedPronoteData, *, generated_at: datetime) -> PronoteData:
+    """Construit le contrat ``PronoteData`` dans un ordre déterministe.
+
+    :param fetched: Données brutes produites par :func:`fetch_step`.
+    :param generated_at: Horodatage de l'exécution fourni par l'orchestrateur.
+    :return: Données Pronote normalisées.
+    :rtype: PronoteData
+    """
+    return PronoteData(
+        lessons=sorted(fetched.lessons, key=lambda lesson: (lesson.start, lesson.id)),
+        homeworks=sorted(
+            fetched.homeworks, key=lambda homework: (homework.due_on, homework.subject, homework.id)
+        ),
+        school_events=sorted(
+            fetched.school_events,
+            key=lambda event: (event.from_date, event.to_date, event.kind.value, event.label),
+        ),
+        messages=sorted(fetched.messages, key=lambda message: (message.date, message.id)),
+        target_date=fetched.target_date,
+        generated_at=generated_at,
+    )
diff --git a/pronote_sync/pipeline/steps/send.py b/pronote_sync/pipeline/steps/send.py
new file mode 100644
index 0000000..e5ddea5
--- /dev/null
+++ b/pronote_sync/pipeline/steps/send.py
@@ -0,0 +1,17 @@
+"""Étape d'envoi du digest sur le canal de notification."""
+
+from __future__ import annotations
+
+from pronote_sync.channels.protocol import Channel
+from pronote_sync.models.xmpp import XmppMessage
+
+
+def send_step(channel: Channel, message: XmppMessage) -> bool:
+    """Envoie le digest et retourne le statut fourni par le canal.
+
+    :param channel: Canal de sortie configuré.
+    :param message: Digest XMPP à transmettre.
+    :return: ``True`` si l'envoi a réussi, ``False`` sinon.
+    :rtype: bool
+    """
+    return channel.send(message)
diff --git a/pronote_sync/pipeline/steps/synthesis.py b/pronote_sync/pipeline/steps/synthesis.py
new file mode 100644
index 0000000..d55be48
--- /dev/null
+++ b/pronote_sync/pipeline/steps/synthesis.py
@@ -0,0 +1,21 @@
+"""Étape de génération optionnelle de synthèse IA."""
+
+from __future__ import annotations
+
+from pronote_sync.models.synthesis import SynthesisInput, SynthesisResult
+from pronote_sync.synthesis.provider import SynthesisProvider
+
+
+def synthesis_step(
+    provider: SynthesisProvider | None, input_data: SynthesisInput
+) -> SynthesisResult | None:
+    """Génère une synthèse lorsque le fournisseur IA est activé.
+
+    :param provider: Fournisseur IA optionnel.
+    :param input_data: Données à synthétiser.
+    :return: Synthèse produite, ou ``None`` si le fournisseur est désactivé.
+    :rtype: SynthesisResult | None
+    """
+    if provider is None:
+        return None
+    return provider.generate(input_data)
diff --git a/pronote_sync/sources/pronote/fallback.py b/pronote_sync/sources/pronote/fallback.py
index a3e441f..9974c5d 100644
--- a/pronote_sync/sources/pronote/fallback.py
+++ b/pronote_sync/sources/pronote/fallback.py
@@ -16,6 +16,8 @@ d'origine ne sont jamais chaînées (``from None``).
 from __future__ import annotations
 
 import logging
+from collections.abc import Iterator
+from contextlib import contextmanager
 from datetime import date, timedelta
 from enum import StrEnum
 from typing import Literal, Protocol
@@ -100,6 +102,30 @@ class PronoteFetcher:
         """
         self._settings: Settings = settings
         self._pronote_client: PronoteClientProtocol = pronote_client
+        self._run_ical_agenda: tuple[list[Lesson], list[SchoolEvent]] | None = None
+        self._cache_ical_for_run = False
+
+    @contextmanager
+    def run_context(self) -> Iterator[None]:
+        """Active un cache iCal éphémère pour une exécution du pipeline.
+
+        Le cache couvre à la fois le téléchargement et le parsing du flux.
+        Il est toujours supprimé à la sortie du contexte, y compris si une
+        étape échoue : il ne peut donc pas devenir un cache global ou
+        persistant entre deux exécutions.
+
+        :yield: Aucun objet.
+        :rtype: Iterator[None]
+        """
+        previous_cache = self._run_ical_agenda
+        previous_enabled = self._cache_ical_for_run
+        self._run_ical_agenda = None
+        self._cache_ical_for_run = True
+        try:
+            yield
+        finally:
+            self._run_ical_agenda = previous_cache
+            self._cache_ical_for_run = previous_enabled
 
     def _fetch_window(self) -> tuple[date, date]:
         """Calcule la fenêtre de synchronisation autour de la date du jour.
@@ -144,12 +170,17 @@ class PronoteFetcher:
         :raises OSError: Si le fichier iCal local est illisible.
         :raises requests.RequestException: Si la récupération HTTP échoue.
         """
+        if self._cache_ical_for_run and self._run_ical_agenda is not None:
+            return self._run_ical_agenda
         ical_url = self._settings.pronote.ical_url
         if ical_url is None:
             raise ValueError("PRONOTE_ICAL_URL est requis pour la source iCal")
         raw_ical = fetch_ical(ical_url.get_secret_value())
         lessons, _, school_events = parse_ical(raw_ical)
-        return lessons, school_events
+        result = (lessons, school_events)
+        if self._cache_ical_for_run:
+            self._run_ical_agenda = result
+        return result
 
     def _fetch_agenda_pronotepy(self) -> tuple[list[Lesson], list[SchoolEvent]]:
         """Récupère l'agenda depuis pronotepy.
diff --git a/tests/integration/test_pipeline_runner.py b/tests/integration/test_pipeline_runner.py
new file mode 100644
index 0000000..297132b
--- /dev/null
+++ b/tests/integration/test_pipeline_runner.py
@@ -0,0 +1,466 @@
+"""Integration tests for the M11 pipeline orchestration."""
+
+from __future__ import annotations
+
+from datetime import date, datetime
+from typing import Any, cast
+
+import pytest
+from pydantic import SecretStr
+
+from pronote_sync.config.settings import AppSettings, PronoteSettings, Settings
+from pronote_sync.errors import PipelineCriticalError, PipelineWarning
+from pronote_sync.models.agenda import Lesson, LessonStatus, SchoolEvent
+from pronote_sync.models.diff import AgendaDiff
+from pronote_sync.models.homework import Homework
+from pronote_sync.models.message import Message
+from pronote_sync.models.sync import CalDAVSyncResult, CalDAVSyncStatus
+from pronote_sync.pipeline.run import PipelineRunner
+from pronote_sync.sources.pronote.fallback import PronoteFetcher
+from pronote_sync.sync.diff import AgendaComparator
+
+
+class StubFetcher:
+    """Pronote fetcher returning deterministic data and recording its calls."""
+
+    def __init__(self, calls: list[str], lesson: Lesson, homework: Homework) -> None:
+        """Store the dependencies required by the stub.
+
+        :param calls: Shared call-order recorder.
+        :param lesson: Lesson returned by the agenda method.
+        :param homework: Homework returned by the homework method.
+        """
+        self._calls = calls
+        self._lesson = lesson
+        self._homework = homework
+
+    def fetch_agenda(self) -> tuple[list[Lesson], list[SchoolEvent]]:
+        """Return one lesson for the target date.
+
+        :return: The lesson and no school event.
+        :rtype: tuple[list[Lesson], list[SchoolEvent]]
+        """
+        self._calls.append("fetch")
+        return [self._lesson], []
+
+    def fetch_homework(self, target_date: date) -> list[Homework]:
+        """Return the configured homework.
+
+        :param target_date: Requested due date.
+        :return: The configured homework.
+        :rtype: list[Homework]
+        """
+        self._calls.append("fetch_homework")
+        assert target_date == self._lesson.start.date()
+        return [self._homework]
+
+    def fetch_messages(self) -> list[Message]:
+        """Return no Pronote messages.
+
+        :return: An empty list.
+        :rtype: list[Message]
+        """
+        self._calls.append("fetch_messages")
+        return []
+
+    def fetch_informations(self) -> list[Message]:
+        """Return no Pronote information messages.
+
+        :return: An empty list.
+        :rtype: list[Message]
+        """
+        self._calls.append("fetch_informations")
+        return []
+
+
+class StubChannel:
+    """Notification channel recording its send attempts."""
+
+    def __init__(self, calls: list[str]) -> None:
+        """Store the shared call-order recorder.
+
+        :param calls: Shared call-order recorder.
+        """
+        self._calls = calls
+        self.messages: list[Any] = []
+
+    def send(self, message: Any) -> bool:
+        """Record an outgoing message.
+
+        :param message: Message produced by the runner.
+        :return: Always ``True``.
+        :rtype: bool
+        """
+        self.messages.append(message)
+        self._calls.append("send")
+        return True
+
+
+class StubComparator:
+    """Agenda comparator recording comparison calls."""
+
+    def __init__(self, calls: list[str]) -> None:
+        """Store the shared call-order recorder.
+
+        :param calls: Shared call-order recorder.
+        """
+        self._calls = calls
+
+    def compare(self, lessons: list[Lesson], target_date: date) -> AgendaDiff:
+        """Return an empty diff after recording the comparison.
+
+        :param lessons: Normalized lessons.
+        :param target_date: Target digest date.
+        :return: Empty agenda diff.
+        :rtype: AgendaDiff
+        """
+        self._calls.append("compare")
+        return AgendaDiff(target_date=target_date)
+
+
+@pytest.fixture
+def pipeline_inputs() -> tuple[Lesson, Homework]:
+    """Return deterministic Pronote data targeting 2026-09-09.
+
+    :return: A lesson and homework pair.
+    :rtype: tuple[Lesson, Homework]
+    """
+    lesson = Lesson(
+        id="lesson-1",
+        start=datetime(2026, 9, 9, 8, 0),
+        end=datetime(2026, 9, 9, 9, 0),
+        subject="Maths",
+        group=None,
+        status=LessonStatus.NORMAL,
+        content=None,
+    )
+    homework = Homework(
+        id="homework-1",
+        subject="Maths",
+        assigned_on=None,
+        due_on=date(2026, 9, 9),
+        text="Exercise 1",
+    )
+    return lesson, homework
+
+
+def successful_sync_result() -> CalDAVSyncResult:
+    """Construit un résultat CalDAV de succès compatible avec mypy.
+
+    :return: Résultat de synchronisation sans changement.
+    :rtype: CalDAVSyncResult
+    """
+    return CalDAVSyncResult(status=CalDAVSyncStatus.SUCCESS, added=0, updated=0, removed=0)
+
+
+def _record_ical_fetch(calls: list[str], url: str) -> str:
+    """Enregistre un téléchargement iCal simulé.
+
+    :param calls: Liste partagée des téléchargements.
+    :param url: URL iCal reçue par la source.
+    :return: Contenu iCal minimal simulé.
+    :rtype: str
+    """
+    calls.append(url)
+    return "BEGIN:VCALENDAR"
+
+
+def test_runner_executes_steps_in_contractual_order(
+    pipeline_inputs: tuple[Lesson, Homework],
+) -> None:
+    """The runner executes fetch, blog, comparison, CalDAV, synthesis, then XMPP."""
+    lesson, homework = pipeline_inputs
+    calls: list[str] = []
+
+    def synchronize(data: Any, settings: Settings) -> CalDAVSyncResult:
+        """Record the CalDAV step.
+
+        :param data: Normalized Pronote data.
+        :param settings: Effective settings.
+        :return: Successful result.
+        :rtype: CalDAVSyncResult
+        """
+        del data, settings
+        calls.append("caldav_sync")
+        return successful_sync_result()
+
+    class RaisingSynthesisProvider:
+        """Synthesis provider used solely to record the optional stage."""
+
+        def generate(self, input_data: Any) -> None:
+            """Record synthesis and return no result.
+
+            :param input_data: Synthesis input.
+            :return: No synthesis.
+            :rtype: None
+            """
+            del input_data
+            calls.append("synthesis")
+            return None
+
+    runner = PipelineRunner(
+        settings=Settings(),
+        pronote_fetcher=StubFetcher(calls, lesson, homework),
+        caldav_synchronizer=synchronize,
+        agenda_comparator=cast("AgendaComparator", StubComparator(calls)),
+        synthesis_provider=RaisingSynthesisProvider(),
+        channel=StubChannel(calls),
+        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
+    )
+
+    data, errors = runner.run()
+
+    assert data is not None
+    assert errors == []
+    assert calls == [
+        "fetch",
+        "fetch_homework",
+        "fetch_messages",
+        "fetch_informations",
+        "compare",
+        "caldav_sync",
+        "synthesis",
+        "send",
+    ]
+
+
+def test_runner_continues_to_xmpp_when_synthesis_fails(
+    pipeline_inputs: tuple[Lesson, Homework],
+) -> None:
+    """A non-critical synthesis exception produces a warning and still sends XMPP."""
+    lesson, homework = pipeline_inputs
+    calls: list[str] = []
+
+    class FailingSynthesisProvider:
+        """Synthesis provider raising a non-critical error."""
+
+        def generate(self, input_data: Any) -> None:
+            """Raise a deterministic optional-stage failure.
+
+            :param input_data: Synthesis input.
+            :raises RuntimeError: Always.
+            """
+            del input_data
+            raise RuntimeError("synthetic AI failure")
+
+    runner = PipelineRunner(
+        settings=Settings(),
+        pronote_fetcher=StubFetcher(calls, lesson, homework),
+        caldav_synchronizer=lambda data, settings: successful_sync_result(),
+        synthesis_provider=FailingSynthesisProvider(),
+        channel=StubChannel(calls),
+        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
+    )
+
+    data, errors = runner.run()
+
+    assert data is not None
+    assert calls[-1] == "send"
+    assert len(errors) == 1
+    assert isinstance(errors[0], PipelineWarning)
+    assert errors[0].step == "synthesis"
+
+
+def test_runner_dry_run_skips_caldav_and_xmpp_writes(
+    pipeline_inputs: tuple[Lesson, Homework],
+) -> None:
+    """Dry-run bypasses both mutable destination boundaries."""
+    lesson, homework = pipeline_inputs
+    calls: list[str] = []
+
+    def dry_run_caldav(data: Any, settings: Settings) -> CalDAVSyncResult:
+        """Verify that the CalDAV boundary receives dry-run settings.
+
+        :param data: Normalized Pronote data.
+        :param settings: Effective settings.
+        :return: A skipped result.
+        :rtype: CalDAVSyncResult
+        """
+        del data
+        calls.append("caldav_sync")
+        assert settings.app.dry_run is True
+        return CalDAVSyncResult(status=CalDAVSyncStatus.SKIPPED, added=0, updated=0, removed=0)
+
+    runner = PipelineRunner(
+        settings=Settings(app=AppSettings(dry_run=True)),
+        pronote_fetcher=StubFetcher(calls, lesson, homework),
+        caldav_synchronizer=dry_run_caldav,
+        channel=StubChannel(calls),
+        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
+    )
+
+    data, errors = runner.run()
+
+    assert data is not None
+    assert errors == []
+    assert "caldav_sync" in calls
+    assert "send" not in calls
+
+
+def test_runner_without_theoretical_agenda_produces_an_empty_diff(
+    pipeline_inputs: tuple[Lesson, Homework],
+) -> None:
+    """A disabled theoretical agenda reaches XMPP with no agenda changes."""
+    lesson, homework = pipeline_inputs
+    calls: list[str] = []
+    channel = StubChannel(calls)
+    runner = PipelineRunner(
+        settings=Settings(app=AppSettings(theoretical_agenda_path=None)),
+        pronote_fetcher=StubFetcher(calls, lesson, homework),
+        caldav_synchronizer=lambda data, settings: successful_sync_result(),
+        channel=channel,
+        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
+    )
+
+    data, errors = runner.run()
+
+    assert data is not None
+    assert errors == []
+    assert len(channel.messages) == 1
+    assert channel.messages[0].changes == ()
+
+
+def test_runner_reports_critical_error_when_no_pronote_source_is_available() -> None:
+    """No configured Pronote source returns an explicit critical pipeline error."""
+    settings = Settings(pronote=PronoteSettings())
+    runner = PipelineRunner(
+        settings=settings,
+        pronote_fetcher=PronoteFetcher(settings, object()),  # type: ignore[arg-type]
+    )
+
+    data, errors = runner.run()
+
+    assert data is None
+    assert len(errors) == 1
+    assert isinstance(errors[0], PipelineCriticalError)
+    assert errors[0].step is None
+    assert "ni la source iCal ni pronotepy" in errors[0].message
+
+
+def test_from_settings_without_theoretical_agenda_does_not_instantiate_comparator(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    """Missing theoretical configuration keeps comparison disabled without constructing it."""
+    import pronote_sync.pipeline.run as run_module
+
+    def forbidden_comparator(provider: object) -> None:
+        """Fail if comparison is constructed without configuration.
+
+        :param provider: The provider unexpectedly supplied.
+        :raises AssertionError: Always.
+        """
+        del provider
+        raise AssertionError("AgendaComparator must not be instantiated")
+
+    monkeypatch.setattr(run_module, "AgendaComparator", forbidden_comparator)
+
+    runner = PipelineRunner.from_settings(Settings(app=AppSettings(theoretical_agenda_path=None)))
+
+    assert runner._agenda_comparator is None
+
+
+def test_from_settings_with_theoretical_agenda_instantiates_comparator(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    """Configured theoretical agenda constructs the comparator with its provider."""
+    import pronote_sync.pipeline.run as run_module
+
+    provider = object()
+    constructed_with: list[object] = []
+
+    class RecordingComparator:
+        """Comparator constructor recording the supplied provider."""
+
+        def __init__(self, received_provider: object) -> None:
+            """Record the provider used by the composition root.
+
+            :param received_provider: The constructed theoretical provider.
+            """
+            constructed_with.append(received_provider)
+
+    monkeypatch.setattr(run_module, "get_theoretical_provider", lambda *args: provider)
+    monkeypatch.setattr(run_module, "AgendaComparator", RecordingComparator)
+
+    runner = PipelineRunner.from_settings(
+        Settings(app=AppSettings(theoretical_agenda_path="/agenda.json"))
+    )
+
+    assert constructed_with == [provider]
+    assert isinstance(runner._agenda_comparator, RecordingComparator)
+
+
+def test_runner_reuses_ical_download_and_parse_within_one_run(
+    monkeypatch: pytest.MonkeyPatch,
+    pipeline_inputs: tuple[Lesson, Homework],
+) -> None:
+    """An iCal agenda/homework selection downloads and parses once per runner run."""
+    import pronote_sync.sources.pronote.fallback as fallback_module
+
+    lesson, _ = pipeline_inputs
+    settings = Settings(
+        pronote=PronoteSettings(
+            ical_url=SecretStr("https://pronote.example.test/calendar.ics"),
+            agenda_source="ical",
+            homework_source="ical",
+        )
+    )
+    fetch_calls: list[str] = []
+    monkeypatch.setattr(
+        fallback_module,
+        "fetch_ical",
+        lambda url: _record_ical_fetch(fetch_calls, url),
+    )
+    monkeypatch.setattr(fallback_module, "parse_ical", lambda raw: ([lesson], [], []))
+
+    class NoMessageClient:
+        """Minimal pronotepy client for non-critical M11 fetches."""
+
+        def get_messages(self) -> list[Message]:
+            """Return no messages.
+
+            :return: An empty list.
+            :rtype: list[Message]
+            """
+            return []
+
+        def get_informations(self) -> list[Message]:
+            """Return no information messages.
+
+            :return: An empty list.
+            :rtype: list[Message]
+            """
+            return []
+
+        def get_lessons(self, start: date, end: date) -> list[Lesson]:
+            """Ne retourne aucun cours de repli.
+
+            :param start: Début de la fenêtre.
+            :param end: Fin de la fenêtre.
+            :return: Liste vide.
+            :rtype: list[Lesson]
+            """
+            del start, end
+            return []
+
+        def get_homeworks(self, start: date, end: date) -> list[Homework]:
+            """Ne retourne aucun devoir de repli.
+
+            :param start: Début de la fenêtre.
+            :param end: Fin de la fenêtre.
+            :return: Liste vide.
+            :rtype: list[Homework]
+            """
+            del start, end
+            return []
+
+    runner = PipelineRunner(
+        settings=settings,
+        pronote_fetcher=PronoteFetcher(settings, NoMessageClient()),
+        now_provider=lambda: datetime(2026, 9, 8, 7, 0),
+    )
+
+    data, errors = runner.run()
+
+    assert data is not None
+    assert errors == []
+    assert fetch_calls == ["https://pronote.example.test/calendar.ics"]