creating-ai-subscription

A subscription delivers a PostHog report to email or Slack on a recurring schedule. There are three kinds, distinguished by which field you set — the kind is derived and returned as the read-only resource_type:

• insight — periodic snapshots of one existing insight (resource_type: "insight")
• dashboard — periodic snapshots of a dashboard's tiles (resource_type: "dashboard")
• prompt — a recurring AI-generated report from a free-text prompt: an LLM plans and runs HogQL over the project's data and synthesizes a fresh markdown report each tick (resource_type: "ai_prompt")

Use this skill for the prompt kind — i.e. when the user wants a recurring AI summary of X (on any cadence — daily, weekly, monthly, yearly) rather than a recurring snapshot of one existing insight/dashboard, or a single one-off report. Pick a prompt subscription when the value is the analysis itself (the LLM deciding what to query and writing it up), not a fixed chart they already built. For an insight/dashboard subscription, set insight/dashboard instead of prompt and the AI gates below don't apply.

Prefer a dashboard or insight subscription first. A prompt subscription is the heaviest option, and the LLM composes its own HogQL, so its numbers can drift from what a saved insight or dashboard already shows. Reach for it only when (a) the user specifically asks for a free-text / AI-written report, or (b) no existing insight or dashboard covers the ask and the value really is the analysis itself. If the user wants the key numbers from an existing dashboard or insight delivered on a schedule — even phrased as "set up a scout/bot to post this daily" — a dashboard (or insight) subscription with summary_enabled: true is usually the better fit. Respect a user who's sure they want a prompt subscription, but when it's ambiguous, suggest that and confirm first. See managing-subscriptions for the happy path.

This skill covers creating the subscription. Once it exists you manage its lifecycle with the same subscriptions-* tools (see below): list it, edit/disable/ re-enable it, send a test delivery, or delete it.

The endpoint enforces three create-time gates and will return 400 if any fails:

1. PostHog Cloud, or DEBUG=true — self-hosted production deployments are not eligible (the LLM call routes through a PostHog-managed key).
2. Org-level "AI data processing approved" — must be toggled on in Org settings → Data → AI data processing. The user must opt in to AI features for the organization first.
3. Prompt subscriptions enabled for the organization — a PostHog-managed rollout flag. If it's off, the org has not been granted access yet; tell the user to reach out to PostHog to enable it (there is no self-serve toggle).

If any of the three is missing, stop and tell the user which one to fix — re-calling the tool will not help.

Your access token also needs the query:read scope in addition to subscription:write: a prompt subscription runs LLM-generated HogQL over the project's data, so the backend requires query access to create, edit/re-enable, test-deliver, or delete one. A subscription:write-only token is rejected with a 403.

prompt: "..."                         # ≤4000 chars; setting this (with no insight/dashboard) makes it a prompt sub → resource_type "ai_prompt"
target_type: "email" | "slack"        # webhook is rejected for prompt subs
target_value: "..."                   # comma-separated emails, or "<channel_id>|<channel_name>"
frequency: "daily" | "weekly" | "monthly" | "yearly"
interval: 1                            # 1 = every tick; 2 = every other tick; etc.
start_date: "2026-09-15T09:30:00Z"   # anchors the recurrence + time-of-day; hour and half-hour slots are supported; need not be in the future
title: "..."                          # display name in the subscriptions list

There is no resource_type argument to send — the kind is derived from which field you set (prompt ⇒ AI report) and returned as the read-only resource_type.

target_value must be <channel_id>|<channel_name> (the format the integration returns). Build it in three steps:

1. posthog:integrations-list filtered by kind=slack → pick the Slack integration's id.
2. posthog:integrations-channels-retrieve with that id → pick a channel; it returns each channel's id and name, which you assemble into target_value as <id>|<name>.
3. Pass that integration's id as integration_id — the subscription is pinned to one specific Slack integration so reconnections elsewhere don't accidentally re-route deliveries.

• The kind is immutable. It's derived from which relation is set, so you can't flip an insight or dashboard sub into a prompt sub after the fact (or vice versa) — a PATCH that adds a prompt to an insight sub is rejected. Pick the right kind at create time.
• Re-enabling a previously auto-disabled prompt sub has two preconditions, both enforced on the PATCH: (1) a valid prompt — already persisted on the row, or a new one in the PATCH body (so bare {"enabled": true} works when the stored prompt is still valid, but is rejected when the disable cause was an invalid prompt until you supply a good one); and (2) the original creator is still an active user — if that account was deactivated the sub cannot be re-enabled at all (no prompt will help; re-create it instead).
• next_delivery_date is server-computed from the rrule. Don't try to set it manually — it's read-only. The first delivery fires at the first start_date occurrence that is at least a short buffer (currently ~15 minutes) in the future, so a start_date only seconds ahead rolls to the next occurrence.
• Transient send failures retry; only permanent failures auto-disable. A transient failure (Slack rate limit, SMTP blip, network) fails that delivery and is retried by Temporal within the run, then re-fires on the next scheduled tick — it does not auto-disable the subscription, so a persistently-failing channel will keep retrying every tick until you fix it. Only permanent/structural causes auto-disable: a disconnected Slack integration, a revoked channel permission, an invalid prompt, or revoked AI data-processing consent. (For multi-recipient email, a delivery only fails when every recipient fails; partial successes still send.) Within a single delivery run the rendered markdown is cached, so Temporal retries of that run don't re-run the LLM pipeline — but each new scheduled tick generates a fresh report.

subscriptions-list will return the new row. Confirm resource_type: "ai_prompt", enabled: true, next_delivery_date is in the future, and prompt matches what you sent. The first scheduled tick will run the planner → HogQL → synthesis pipeline and email/Slack the rendered markdown.

• managing-subscriptions — insight and dashboard subscriptions, including AI summaries attached to them
• building-a-dashboard — build the dashboard when the user wants charts rather than a written report