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BlocksAgent Patterns
Parallel Processing Pattern
Parallel Processing Pattern
Process content with multiple AI agents running simultaneously. Demonstrates concurrent analysis for faster results.
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Problems solved
Technical challenges this implementation handles out of the box.
- Run multiple generateText analyses concurrently with Promise.all
- Fan out content review across specialized perspectives
- Aggregate parallel agent results into one response
Use cases
Products and workflows this pattern is designed to support.
- Multi-perspective document review
- Business intelligence content analysis
- QA review that scores several dimensions at once
- Decision-support briefs from concurrent agents
Compare with
Similar patterns, and when each one is the better fit.
Agent Routing PatternUse this when one chat endpoint should sort queries into specialist agents and fall back across OpenAI, Perplexity, and Deepseek if a provider fails.
Research Agent ChainUse this when one agent doing all the research is too broad and you want separate gather, expand, and synthesize agents run in order with Exa search.
Data Analysis AgentUse this when users upload a CSV or JSON dataset and need an agent to find correlations, outliers, and trends, then chart them and export a report.
Parallel Review Workflow PatternFreeUse this when you need several independent AI reviews of the same input to run at once in a durable workflow and be merged into one result.
Setup
Requirements, wiring steps, and what this pattern adds to your project.
Getting started
Pick how you want to pull this pattern in. Then wire env vars and routes the same way.
- 1
Download → Next.js app
Use Download → Next.js app in the preview toolbar. You get a zip scaffold (Pro downloads rewrite preview `/view/.../api/*` paths to `/api/*` automatically).
- 2
Extract the zip and install dependencies
Unzip the archive, then run `pnpm install` (or npm / yarn) in the project folder.
- 3
Fill .env.local
The download includes .env.local placeholders when needed. Add real values for: OPENAI_API_KEY.
- 4
Customize the agent and tool files
Adapt prompts, tools, and stop conditions in the generated project for your product.
- 5
Run the app and open the pattern route
Run `pnpm dev`, open the setup/checklist page if present, then navigate to the generated pattern route and verify responses.
Environment variables
OPENAI_API_KEYGet key
Capabilities
AI SDK APIs
generateTextProviders
OpenAI
Files added
7 files
app/page.tsxapp/layout.tsxlib/actions.tscomponents/parallel-processing-demo.tsxlib/schema.tslib/rate-limit.tsREADME.md
Dependencies
10 total
npm packages
6AISDKUpstashlucide-reactNext.jsReactZod
Registry components
buttoncardemptyaccordion
Critical files
1 file
lib/actions.tsServer action implementing concurrent multi-perspective analysis. Runs 3 parallel generateText calls using Promise.all. Demonstrates the fan-out/fan-in pattern for parallel AI processing.
Requirements
- Complexity
- Intermediate
- Setup time
- ~10 minutes
- Node
- 24+
- Memory
- 512MB
