## What
Two related changes to the AI auto-categorization feature.
### 1. Open the gate to pro + consent (drop the new-signups-only cohort)
Eligibility for AI auto-categorization was: kill switch **+ pro plan +
active AI consent + a Pennant rollout flag** that only resolved for
users created after `ai_categorization.rollout_after`. That last cohort
gate limited the feature to a handful of recent signups (6 eligible
users in prod).
The gate is now just **kill switch + pro plan + active AI consent**, so
every consented pro user is eligible regardless of signup date.
- `allows()` and `allowsBackfill()` became identical and collapse into a
single `allows()`; `CategorizeBackfillCommand` calls it.
- The `AiCategorization` Pennant feature and the
`ai_categorization.rollout_after` config are now dead and removed. The
weekly cohort report already derives its release marker from the first
`ai_consents.accepted_at`, so nothing depends on the config.
> Note: the `AI_CATEGORIZATION_ROLLOUT_AFTER` env var must be removed
from the production environment — it is no longer read.
### 2. Nudge free users that AI could categorize their transactions
Free-plan users now see a subtle AI sparkle on uncategorized rows,
reusing the trailing icon slot already in `CategoryCell` (no layout
change). It only shows when subscriptions are enforced and the user is
not pro; clicking it routes to `/settings/billing`.
To keep it subtle, the sparkle is sampled to a share of rows via a
deterministic function of the transaction id (its last byte mapped onto
a 0-100 threshold), so the same rows decide the same way across reloads
instead of flickering or marking every row.
The share is **configurable** via `ai_categorization.upsell_sample_rate`
(env `AI_CATEGORIZATION_UPSELL_SAMPLE_RATE`, default 40), exposed to the
frontend as the `aiCategorizationUpsellRate` Inertia prop — no rebuild
needed to retune it.
## Tests
- PHP: `AiCategorizationGateTest` updated (rollout case dropped);
job/listener tests no longer activate the removed feature.
- JS: `ai-upsell-sample.test.ts` covers determinism, the 0/100 bounds,
the threshold boundary, and the per-rate split.
- Manually verified in-app (Playwright): nudge renders for a free,
consented, bankless user; rate matches config.
## Follow-ups (not in this PR)
- Remove the `AI_CATEGORIZATION_ROLLOUT_AFTER` prod env var.
- Backfilling existing pro+consent users' history still requires running
`ai:categorize-backfill {user}`.
- The nudge only reaches free users who pass the paywall (no bank
connection + paywall already seen); free users with a bank connection
never reach `/transactions`. Consider surfacing it on the paywall too.
## What
During onboarding, the per-transaction AI categorization listener no
longer runs. The AI automation rules generated in the suggestions step
cover the bulk of the imported transactions (~70%). On completion, a
single batch pass categorizes whatever is still uncategorized.
## Why
Running per-transaction categorization on every transaction created
during onboarding is wasteful: most are about to be covered by the AI
rules generated at the end of the flow. Defer the AI spend to one batch
over the remainder.
## How
- **`CategorizeTransactionWithAi` listener** — skips when `!
$user->isOnboarded()`. Covers every txn-creation path, since it hangs
off the model `created` event.
- **`CategorizeOnboardingTransactionsJob`** (new) — dispatched from
`OnboardingController::complete` after `onboarded_at` is set. Snapshots
`whereNull('category_id')->whereNull('description_iv')`, so transactions
already categorized by the AI rules (or manually in the categorize step)
are excluded. Chunks by `group_batch_size` and runs `AiCategorizer` per
chunk. Runs on the dedicated `ai` queue.
- Gated by `AiCategorizationGate::allows()` (rollout flag) — automatic
system behavior, gated like the real-time tier, not the explicit
backfill.
## Flow
1. `syncing` → transactions created, **no** per-transaction AI
2. `ai-suggestions` → AI rules cover the bulk
3. `categorize-transactions` → user manually categorizes a few
4. `complete` → batch-categorize the rest, skipping anything already
labeled
## Tests
- Listener skips transactions created while onboarding; still
categorizes post-onboarding.
- Job categorizes the remainder, leaves rule/manual categories
untouched, no-ops for ineligible users.
- `complete` marks the user onboarded and queues the batch job.
Full Ai + Onboarding suites green (112/112). Pint clean.
Víctor Falcón