diff --git a/maskinrommet/src/intentions.rs b/maskinrommet/src/intentions.rs
index 5fa99da..e2741bd 100644
--- a/maskinrommet/src/intentions.rs
+++ b/maskinrommet/src/intentions.rs
@@ -2227,3 +2227,95 @@ pub async fn summarize(
 
     Ok(Json(SummarizeResponse { job_id }))
 }
+
+// =============================================================================
+// POST /intentions/generate_tts — tekst-til-tale via ElevenLabs
+// =============================================================================
+
+#[derive(Deserialize)]
+pub struct GenerateTtsRequest {
+    /// Teksten som skal leses opp (maks 5000 tegn).
+    pub text: String,
+    /// Valgfri ElevenLabs voice_id. Faller tilbake på node-preferanse eller default.
+    pub voice_id: Option<String>,
+    /// Valgfri kilde-node som TTS-lyden knyttes til med has_media-edge.
+    /// Hvis noden har metadata.voice_preference, brukes den som fallback for voice_id.
+    pub source_node_id: Option<Uuid>,
+    /// Språk (default: "no").
+    pub language: Option<String>,
+}
+
+#[derive(Serialize)]
+pub struct GenerateTtsResponse {
+    pub job_id: Uuid,
+}
+
+/// POST /intentions/generate_tts
+///
+/// Legger en `tts_generate`-jobb i køen.
+/// Lydfilen opprettes asynkront som en ny content-node i CAS.
+pub async fn generate_tts(
+    State(state): State<AppState>,
+    user: AuthUser,
+    Json(req): Json<GenerateTtsRequest>,
+) -> Result<Json<GenerateTtsResponse>, (StatusCode, Json<ErrorResponse>)> {
+    if req.text.is_empty() {
+        return Err(bad_request("Tekst kan ikke være tom"));
+    }
+    if req.text.len() > 5000 {
+        return Err(bad_request("Tekst for lang (maks 5000 tegn)"));
+    }
+
+    // Hvis source_node_id er oppgitt, verifiser at noden finnes
+    if let Some(source_id) = req.source_node_id {
+        let exists: bool = sqlx::query_scalar::<_, bool>(
+            "SELECT EXISTS(SELECT 1 FROM nodes WHERE id = $1)",
+        )
+        .bind(source_id)
+        .fetch_one(&state.db)
+        .await
+        .map_err(|e| {
+            tracing::error!(error = %e, "PG-feil ved node-sjekk");
+            internal_error("Databasefeil")
+        })?;
+
+        if !exists {
+            return Err(bad_request("Kildenode finnes ikke"));
+        }
+    }
+
+    let mut payload = serde_json::json!({
+        "text": req.text,
+        "requested_by": user.node_id.to_string(),
+        "language": req.language.as_deref().unwrap_or("no"),
+    });
+
+    if let Some(ref vid) = req.voice_id {
+        payload["voice_id"] = serde_json::Value::String(vid.clone());
+    }
+    if let Some(source_id) = req.source_node_id {
+        payload["source_node_id"] = serde_json::Value::String(source_id.to_string());
+    }
+
+    let job_id = crate::jobs::enqueue(
+        &state.db,
+        "tts_generate",
+        payload,
+        None,
+        5, // Middels prioritet
+    )
+    .await
+    .map_err(|e| {
+        tracing::error!(error = %e, "Kunne ikke legge TTS-jobb i kø");
+        internal_error("Kunne ikke starte TTS-generering")
+    })?;
+
+    tracing::info!(
+        job_id = %job_id,
+        text_len = req.text.len(),
+        user = %user.node_id,
+        "TTS-jobb lagt i kø"
+    );
+
+    Ok(Json(GenerateTtsResponse { job_id }))
+}
diff --git a/maskinrommet/src/jobs.rs b/maskinrommet/src/jobs.rs
index eff7e7c..c553279 100644
--- a/maskinrommet/src/jobs.rs
+++ b/maskinrommet/src/jobs.rs
@@ -14,6 +14,7 @@ use crate::cas::CasStore;
 use crate::stdb::StdbClient;
 use crate::summarize;
 use crate::transcribe;
+use crate::tts;
 
 /// Rad fra job_queue-tabellen.
 #[derive(sqlx::FromRow, Debug)]
@@ -163,6 +164,9 @@ async fn dispatch(
         "summarize_communication" => {
             summarize::handle_summarize_communication(job, db, stdb).await
         }
+        "tts_generate" => {
+            tts::handle_tts_job(job, db, stdb, cas).await
+        }
         other => Err(format!("Ukjent jobbtype: {other}")),
     }
 }
diff --git a/maskinrommet/src/main.rs b/maskinrommet/src/main.rs
index 03b77e6..9feb30c 100644
--- a/maskinrommet/src/main.rs
+++ b/maskinrommet/src/main.rs
@@ -9,6 +9,7 @@ mod serving;
 mod stdb;
 pub mod summarize;
 pub mod transcribe;
+pub mod tts;
 mod warmup;
 
 use axum::{extract::State, http::StatusCode, routing::{get, post}, Json, Router};
@@ -151,6 +152,7 @@ async fn main() {
         .route("/intentions/retranscribe", post(intentions::retranscribe))
         .route("/intentions/resolve_retranscription", post(intentions::resolve_retranscription))
         .route("/intentions/summarize", post(intentions::summarize))
+        .route("/intentions/generate_tts", post(intentions::generate_tts))
         .route("/query/aliases", get(queries::query_aliases))
         .route("/query/graph", get(queries::query_graph))
         .route("/query/transcription_versions", get(queries::query_transcription_versions))
diff --git a/maskinrommet/src/tts.rs b/maskinrommet/src/tts.rs
new file mode 100644
index 0000000..323d478
--- /dev/null
+++ b/maskinrommet/src/tts.rs
@@ -0,0 +1,315 @@
+// TTS-pipeline — tekst til lyd via ElevenLabs.
+//
+// Jobbtype: "tts_generate"
+// Payload: {
+//   "text": "<tekst som skal leses opp>",
+//   "voice_id": "<elevenlabs voice_id>",  (valgfritt, bruker default)
+//   "language": "no",                      (valgfritt)
+//   "source_node_id": "<uuid>",           (noden teksten tilhører)
+//   "requested_by": "<uuid>"
+// }
+//
+// Flyten:
+// 1. Hent tekst og voice-preferanse fra payload
+// 2. Sjekk mottaker-preferanse i source-nodens metadata (voice_preference)
+// 3. Kall ElevenLabs API
+// 4. Lagre lyd i CAS
+// 5. Opprett media-node med has_media-edge til kilde
+// 6. Logg ressursforbruk
+//
+// Ref: docs/features/ressursforbruk.md, docs/proposals/ghost_host_tts.md
+
+use sqlx::PgPool;
+use uuid::Uuid;
+
+use crate::cas::CasStore;
+use crate::jobs::JobRow;
+use crate::stdb::StdbClient;
+
+/// Maks tekst-lengde for TTS (ElevenLabs grense er 5000 tegn per kall).
+const MAX_TEXT_LENGTH: usize = 5000;
+
+/// Håndterer tts_generate-jobb.
+pub async fn handle_tts_job(
+    job: &JobRow,
+    db: &PgPool,
+    stdb: &StdbClient,
+    cas: &CasStore,
+) -> Result<serde_json::Value, String> {
+    let text = job.payload["text"]
+        .as_str()
+        .ok_or("Mangler 'text' i payload")?
+        .to_string();
+
+    if text.is_empty() {
+        return Err("Tom tekst — ingenting å generere".to_string());
+    }
+    if text.len() > MAX_TEXT_LENGTH {
+        return Err(format!(
+            "Tekst for lang: {} tegn (maks {})",
+            text.len(),
+            MAX_TEXT_LENGTH
+        ));
+    }
+
+    let source_node_id: Option<Uuid> = job.payload["source_node_id"]
+        .as_str()
+        .and_then(|s| s.parse().ok());
+
+    let requested_by: Uuid = job.payload["requested_by"]
+        .as_str()
+        .and_then(|s| s.parse().ok())
+        .ok_or("Mangler gyldig 'requested_by' i payload")?;
+
+    // Bestem voice_id: payload > source-node metadata > env default
+    let voice_id = resolve_voice_id(job, db, source_node_id).await?;
+
+    let language = job.payload["language"]
+        .as_str()
+        .unwrap_or("no")
+        .to_string();
+
+    tracing::info!(
+        text_len = text.len(),
+        voice_id = %voice_id,
+        language = %language,
+        "Starter TTS-generering"
+    );
+
+    // 1. Kall ElevenLabs API
+    let audio_bytes = call_elevenlabs(&text, &voice_id).await?;
+
+    tracing::info!(
+        audio_size = audio_bytes.len(),
+        "Mottok lyd fra ElevenLabs"
+    );
+
+    // 2. Lagre i CAS
+    let cas_result = cas
+        .store(&audio_bytes)
+        .await
+        .map_err(|e| format!("CAS-lagring feilet: {e}"))?;
+
+    tracing::info!(
+        cas_hash = %cas_result.hash,
+        size = cas_result.size,
+        dedup = cas_result.already_existed,
+        "Lyd lagret i CAS"
+    );
+
+    // 3. Opprett media-node for lydfilen
+    let media_node_id = Uuid::now_v7();
+    let title = format!("TTS: {}", truncate(&text, 60));
+    let metadata = serde_json::json!({
+        "cas_hash": cas_result.hash,
+        "mime": "audio/mpeg",
+        "size_bytes": cas_result.size,
+        "tts": {
+            "provider": "elevenlabs",
+            "voice_id": voice_id,
+            "language": language,
+            "characters": text.len(),
+        }
+    });
+    let metadata_str = metadata.to_string();
+
+    // STDB først (sanntid)
+    stdb.create_node(
+        &media_node_id.to_string(),
+        "content",
+        &title,
+        "",
+        "hidden",
+        &metadata_str,
+        &requested_by.to_string(),
+    )
+    .await
+    .map_err(|e| format!("STDB create_node feilet: {e}"))?;
+
+    // PG (persistering)
+    sqlx::query(
+        r#"
+        INSERT INTO nodes (id, node_kind, title, content, visibility, metadata, created_by)
+        VALUES ($1, 'content', $2, '', 'hidden'::visibility, $3, $4)
+        "#,
+    )
+    .bind(media_node_id)
+    .bind(&title)
+    .bind(&metadata)
+    .bind(requested_by)
+    .execute(db)
+    .await
+    .map_err(|e| format!("PG insert media-node feilet: {e}"))?;
+
+    // 4. Opprett has_media-edge fra kilde-node til TTS-noden (hvis kilde finnes)
+    if let Some(source_id) = source_node_id {
+        let edge_id = Uuid::now_v7();
+        let edge_meta = serde_json::json!({
+            "media_type": "tts_audio",
+            "generated_at": chrono::Utc::now().to_rfc3339()
+        });
+        let empty_meta = edge_meta.to_string();
+
+        stdb.create_edge(
+            &edge_id.to_string(),
+            &source_id.to_string(),
+            &media_node_id.to_string(),
+            "has_media",
+            &empty_meta,
+            false,
+            &requested_by.to_string(),
+        )
+        .await
+        .map_err(|e| format!("STDB create_edge (has_media) feilet: {e}"))?;
+
+        sqlx::query(
+            r#"
+            INSERT INTO edges (id, source_id, target_id, edge_type, metadata, system, created_by)
+            VALUES ($1, $2, $3, 'has_media', $4, false, $5)
+            "#,
+        )
+        .bind(edge_id)
+        .bind(source_id)
+        .bind(media_node_id)
+        .bind(&edge_meta)
+        .bind(requested_by)
+        .execute(db)
+        .await
+        .map_err(|e| format!("PG insert has_media-edge feilet: {e}"))?;
+    }
+
+    // 5. Logg ressursforbruk
+    sqlx::query(
+        r#"
+        INSERT INTO resource_usage_log (target_node_id, triggered_by, resource_type, detail)
+        VALUES ($1, $2, 'tts', $3)
+        "#,
+    )
+    .bind(media_node_id)
+    .bind(requested_by)
+    .bind(serde_json::json!({
+        "provider": "elevenlabs",
+        "characters": text.len(),
+        "voice_id": voice_id
+    }))
+    .execute(db)
+    .await
+    .map_err(|e| format!("Ressurslogging feilet: {e}"))?;
+
+    Ok(serde_json::json!({
+        "status": "completed",
+        "media_node_id": media_node_id.to_string(),
+        "cas_hash": cas_result.hash,
+        "characters": text.len(),
+        "audio_size_bytes": cas_result.size,
+        "voice_id": voice_id,
+    }))
+}
+
+/// Bestem voice_id: payload-verdi > source-node metadata.voice_preference > env default.
+/// "Mottaker-preferanse i metadata" betyr at en node kan ha
+/// metadata.voice_preference.voice_id som overstyrer default.
+async fn resolve_voice_id(
+    job: &JobRow,
+    db: &PgPool,
+    source_node_id: Option<Uuid>,
+) -> Result<String, String> {
+    // 1. Eksplisitt i payload — alltid høyest prioritet
+    if let Some(vid) = job.payload["voice_id"].as_str() {
+        if !vid.is_empty() {
+            return Ok(vid.to_string());
+        }
+    }
+
+    // 2. Sjekk source-nodens metadata.voice_preference.voice_id
+    if let Some(node_id) = source_node_id {
+        let meta: Option<serde_json::Value> = sqlx::query_scalar(
+            "SELECT metadata FROM nodes WHERE id = $1",
+        )
+        .bind(node_id)
+        .fetch_optional(db)
+        .await
+        .map_err(|e| format!("PG-feil ved henting av voice_preference: {e}"))?
+        .flatten();
+
+        if let Some(meta) = meta {
+            if let Some(vid) = meta
+                .get("voice_preference")
+                .and_then(|vp| vp.get("voice_id"))
+                .and_then(|v| v.as_str())
+            {
+                if !vid.is_empty() {
+                    tracing::info!(
+                        node_id = %node_id,
+                        voice_id = %vid,
+                        "Bruker mottaker-preferanse fra node-metadata"
+                    );
+                    return Ok(vid.to_string());
+                }
+            }
+        }
+    }
+
+    // 3. Miljøvariabel-default
+    let default = std::env::var("ELEVENLABS_DEFAULT_VOICE")
+        .unwrap_or_else(|_| "21m00Tcm4TlvDq8ikWAM".to_string()); // Rachel (ElevenLabs premade)
+
+    Ok(default)
+}
+
+/// Kall ElevenLabs text-to-speech API.
+/// Returnerer rå MP3-bytes.
+async fn call_elevenlabs(text: &str, voice_id: &str) -> Result<Vec<u8>, String> {
+    let api_key = std::env::var("ELEVENLABS_API_KEY")
+        .map_err(|_| "ELEVENLABS_API_KEY er ikke satt".to_string())?;
+
+    let model_id = std::env::var("ELEVENLABS_MODEL")
+        .unwrap_or_else(|_| "eleven_multilingual_v2".to_string());
+
+    let url = format!(
+        "https://api.elevenlabs.io/v1/text-to-speech/{voice_id}"
+    );
+
+    let payload = serde_json::json!({
+        "text": text,
+        "model_id": model_id,
+        "voice_settings": {
+            "stability": 0.5,
+            "similarity_boost": 0.75,
+            "style": 0.0,
+            "use_speaker_boost": true
+        }
+    });
+
+    let client = reqwest::Client::new();
+    let resp = client
+        .post(&url)
+        .header("xi-api-key", &api_key)
+        .header("Accept", "audio/mpeg")
+        .json(&payload)
+        .timeout(std::time::Duration::from_secs(30))
+        .send()
+        .await
+        .map_err(|e| format!("ElevenLabs HTTP-feil: {e}"))?;
+
+    if !resp.status().is_success() {
+        let status = resp.status();
+        let body = resp.text().await.unwrap_or_default();
+        return Err(format!("ElevenLabs returnerte {status}: {body}"));
+    }
+
+    resp.bytes()
+        .await
+        .map(|b| b.to_vec())
+        .map_err(|e| format!("Kunne ikke lese ElevenLabs-respons: {e}"))
+}
+
+/// Forkorter en streng til maks `max_len` tegn med "..." suffix.
+fn truncate(s: &str, max_len: usize) -> String {
+    if s.len() <= max_len {
+        s.to_string()
+    } else {
+        let end = s.char_indices().nth(max_len - 3).map(|(i, _)| i).unwrap_or(s.len());
+        format!("{}...", &s[..end])
+    }
+}
diff --git a/migrations/009_resource_usage_and_tts.sql b/migrations/009_resource_usage_and_tts.sql
new file mode 100644
index 0000000..a2d2897
--- /dev/null
+++ b/migrations/009_resource_usage_and_tts.sql
@@ -0,0 +1,21 @@
+-- Migration 009: resource_usage_log + TTS-støtte
+--
+-- 1. Oppretter resource_usage_log for sporing av ressursforbruk (AI, Whisper, TTS, CAS, etc.)
+-- 2. Legger grunnlaget for TTS-jobber (voice_preference i node-metadata)
+--
+-- Ref: docs/features/ressursforbruk.md
+
+CREATE TABLE resource_usage_log (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    target_node_id UUID NOT NULL REFERENCES nodes(id),
+    triggered_by UUID REFERENCES nodes(id),
+    collection_id UUID REFERENCES nodes(id),
+    resource_type TEXT NOT NULL,
+    detail JSONB NOT NULL,
+    created_at TIMESTAMPTZ NOT NULL DEFAULT now()
+);
+
+CREATE INDEX idx_resource_usage_target ON resource_usage_log(target_node_id);
+CREATE INDEX idx_resource_usage_triggered ON resource_usage_log(triggered_by);
+CREATE INDEX idx_resource_usage_collection ON resource_usage_log(collection_id);
+CREATE INDEX idx_resource_usage_type_time ON resource_usage_log(resource_type, created_at);
diff --git a/scripts/maskinrommet-env.sh b/scripts/maskinrommet-env.sh
index 0602373..1845729 100755
--- a/scripts/maskinrommet-env.sh
+++ b/scripts/maskinrommet-env.sh
@@ -29,6 +29,9 @@ LITELLM_MASTER_KEY=$(read_env LITELLM_MASTER_KEY)
 LIVEKIT_URL=http://${LIVEKIT_IP:-localhost}:7880
 LIVEKIT_API_KEY=$(read_env LIVEKIT_API_KEY)
 LIVEKIT_API_SECRET=$(read_env LIVEKIT_API_SECRET)
+ELEVENLABS_API_KEY=$(read_env ELEVENLABS_API_KEY)
+ELEVENLABS_DEFAULT_VOICE=$(read_env ELEVENLABS_DEFAULT_VOICE)
+ELEVENLABS_MODEL=$(read_env ELEVENLABS_MODEL)
 PROJECT_DIR=/home/vegard/synops
 RUST_LOG=maskinrommet=debug,tower_http=debug
 EOF
diff --git a/tasks.md b/tasks.md
index 7f2d4bb..0f69c0e 100644
--- a/tasks.md
+++ b/tasks.md
@@ -119,8 +119,7 @@ Uavhengige faser kan fortsatt plukkes.
 - [x] 10.1 LiteLLM oppsett: Docker-container, API-nøkler, modell-routing. Ref: `docs/infra/ai_gateway.md`.
 - [x] 10.2 AI-foreslåtte edges: maskinrommet sender innhold til LLM → foreslår mentions, topics.
 - [x] 10.3 Oppsummering: kommunikasjonsnode → AI-generert sammendrag som ny node.
-- [~] 10.4 TTS: tekst → lyd via ElevenLabs. Mottaker-preferanse i metadata.
-  > Påbegynt: 2026-03-17T23:32
+- [x] 10.4 TTS: tekst → lyd via ElevenLabs. Mottaker-preferanse i metadata.
 
 ## Fase 11: Produksjons-pipeline