Added patterns section

Author: D-K-P

docs/guides/example-projects/smart-spreadsheet.mdx

@@ -8,13 +8,13 @@ import RealtimeLearnMore from "/snippets/realtime-learn-more.mdx";
 
 ## Overview
 
-Smart Spreadsheet is an AI-powered tool that enriches company data on demand. Input a company name or website URL and get verified information including industry, headcount, and funding details; each with source attribution. Results stream to the frontend in real-time as they're processed.
+Smart Spreadsheet is an AI-powered tool that enriches company data on demand. Input a company name or website URL and get verified information including industry, headcount, and funding details; each with source attribution. Results appear in the frontend in real-time as each task completes.
 
 - A [Next.js](https://nextjs.org/) app with [Trigger.dev](https://trigger.dev/) for background tasks
 - [Exa](https://exa.ai/) – an AI-native search engine that returns clean, structured content ready for LLM extraction
 - [Claude](https://anthropic.com/) via the [Vercel AI SDK](https://sdk.vercel.ai/) for data extraction
 - [Supabase](https://supabase.com/) PostgreSQL database for persistence
-- Trigger.dev [Realtime](/realtime/overview) to stream updates to the frontend
+- Trigger.dev [Realtime](/realtime/overview) for live updates to the frontend
 
 ## Video
 
@@ -42,16 +42,43 @@ The enrichment workflow:
 1. **Trigger enrichment** – User enters a company name or URL in the spreadsheet UI
 2. **Parallel data gathering** – Four subtasks run concurrently to fetch basic info, industry, employee count, and funding details
 3. **AI extraction** – Each subtask uses Exa search + Claude to extract structured data with source URLs
-4. **Real-time updates** – Results stream back to the frontend as each subtask completes
+4. **Real-time updates** – Results appear in the frontend as each subtask completes
 5. **Persist results** – Enriched data is saved to Supabase with source attribution
 
 ## Features
 
 - **Parallel processing** – All four enrichment categories run simultaneously using [batch.triggerByTaskAndWait](/triggering#batch-trigger-by-task-and-wait)
 - **Source attribution** – Every data point includes the URL it was extracted from
-- **Real-time streaming** – Results appear in the UI as they're processed using [Realtime](/realtime/overview)
+- **Live updates** – Results appear in the UI as each task completes using [Realtime](/realtime/overview)
 - **Structured extraction** – Zod schemas ensure consistent data output from Claude
 
+## Key code patterns
+
+### Parallel task execution
+
+The main task triggers all four enrichment subtasks simultaneously using `batch.triggerByTaskAndWait`:
+
+```ts src/trigger/enrich-company.ts
+const { runs } = await batch.triggerByTaskAndWait([
+  { task: getBasicInfo, payload: { companyName, companyUrl } },
+  { task: getIndustry, payload: { companyName, companyUrl } },
+  { task: getEmployeeCount, payload: { companyName, companyUrl } },
+  { task: getFundingRound, payload: { companyName, companyUrl } },
+]);
+```
+
+### Live updates from child tasks
+
+Each subtask uses `metadata.parent.set()` to update the parent's metadata as soon as data is extracted:
+
+```ts src/trigger/get-basic-info.ts
+// After Claude extracts the data, update the parent task's metadata
+metadata.parent.set("website", object.website);
+metadata.parent.set("description", object.description);
+```
+
+The frontend subscribes to these metadata updates using [Realtime](/realtime/overview), so users see each field populate as it's discovered.
+
 ## Relevant code
 
 | File                                                                                                                                           | Description                                                            |