# Phase 6 — Ongoing Automation (chat-native "keep watching") > Depends on `04` (the verbs it re-invokes), `05` (the agent tools), and `07` (the `intelligence_agent`). > Reuses the existing chat + automations machinery; adds no parallel engine. ## Objective Support "keep watching": a persistent chat where the agent periodically re-invokes scraper verbs and drops results into the session. "What changed" is the agent reading its own prior turns from the durable checkpoint — no diff store. ## Mechanism A **chat watch is an `Automation` bound to the current chat** — nothing more. No dedicated thread, no thread "kind", no schema change. Start it and the chat gains a `schedule` trigger that re-posts the question on a cadence; stop it and the automation is deleted and the chat is a normal chat again. The chat's own checkpoint is the memory. - **`chat_message` action** — params `{ thread_id, message }`. Its handler drains `stream_new_chat(user_query=message, chat_id=thread_id, …)` under `AuthContext.system(creator, source="automation")` against the **current chat**. Auto-approve (system auth; CI verbs are read-only and don't interrupt). - **Durable memory + delivery** — `stream_new_chat` persists messages to `new_chat_messages` (already Zero-synced to the UI) and advances the shared Postgres checkpointer keyed by `chat_id`. A scheduled run has no SSE client; it runs server-side and is delivered via the persisted rows. "What changed" is the agent reading the chat's own prior turns. - **Worker-safe checkpointer** — the shared `AsyncPostgresSaver` pool binds connections to the loop that opened them, but Celery uses a fresh loop per task (`PoolTimeout`). Dispose the checkpointer pool per task in `run_async_celery_task`, mirroring `_dispose_shared_db_engine`, so a worker can use the *durable* checkpointer (not `InMemorySaver`) that "what changed" requires. - **`start_watch`** — an `intelligence_agent` tool that binds a watch to the *current* chat: it distills the recurring question + cadence and creates the automation (`schedule` + `chat_message(thread_id = current chat)`). - **"Is this chat watched?"** — derived: an active automation with a `chat_message` action targeting the chat. No stored flag. - **Controls** — run-now = trigger a run; stop = delete the automation (chat reverts to normal). - **Concurrency** — the checkpointer is single-writer per thread; a tick skips if the prior turn on that chat is still running (DB `ai_responding` flag). ## Work items 1. Durable checkpointer in workers: `_dispose_shared_checkpointer_pool` in `run_async_celery_task` (before + after), mirroring the SQLAlchemy engine dispose. **[done]** 2. `chat_message` action: params + factory + handler (drains `stream_new_chat`); concurrency guard. **[done]** 3. Watch service: create (bind `schedule` + `chat_message` automation to a chat) / stop (delete) / find-for-thread (is-watched) / run-now. **[done]** 4. `start_watch` tool on `intelligence_agent` (+ prompt line); binds to the current chat. **[done]** 5. Controls — chat tools (`stop_watch`, `refresh_watch`) + REST (`GET /automations/watches`, `POST /automations/{id}/run`; stop = `DELETE /automations/{id}`). **[done]** ## Tests - `run_async_celery_task` disposes the checkpointer pool before and after a task. **[done]** - `chat_message` drains a turn on the given thread; skips when one is in-flight. **[done]** - Watch service: create binds a `schedule` + `chat_message` automation to the chat; stop deletes it; find-for-thread filters by plan; run-now launches the schedule trigger. **[done]** - `start_watch` / `stop_watch` / `refresh_watch` tools act on the current chat from tool context. **[done]** - Watch routes registered on the automations router. **[done]** - Integration (running stack): two scheduled runs on one chat — run 2 sees run 1 in checkpoint history. ## Deferred / out of scope - Zero delivery-cost optimization (signal-column + REST fetch vs full-content sync) — app-wide, separate. - Server-side turns surviving browser navigation for *interactive* chat ("zombie streaming"). - `start_watch` cadence UX refinements. Verbs/doors → `04`/`05`; agent playbook → `07`.