## 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.
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