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TemplatesReal-world Examples
AI Wizard Brand Strategy
AI Wizard Brand Strategy
A full-screen AI levee interface where each stage is an adaptive interview with lock-based progression and dynamic tool-driven prompts.
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Problems solved
Technical challenges this implementation handles out of the box.
- Guide brand strategy through lock-based multi-stage interviews
- Combine form seed inputs with conversational follow-ups
- Progress only when dynamic checklist lock items complete
- Synthesize earlier stages into a final strategy output
Use cases
Products and workflows this pattern is designed to support.
- Brand strategy discovery workshops
- Interactive marketing onboarding flows
- Adaptive AI interview products
- Full-screen levee-style strategy builders
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
useChatDefaultChatTransporttoolToolLoopAgenthasToolCallstepCountIscreateUIMessageStreamProviders
OpenAI
External services
Upstash
Files added
21 filesapp/page.tsxapp/layout.tsxapp/api/levee/route.tscomponents/levee-brand-strategy.tsxcomponents/stage-chat.tsxcomponents/empty-state.tsxcomponents/tool-views/multiple-choice-view.tsxcomponents/tool-views/rating-view.tsxcomponents/tool-views/text-input-view.tsxcomponents/tool-views/lock-update-view.tsxlib/types.tslib/stages.tslib/rate-limit.tslib/ai/levee-stream-config.tslib/ai/tools/ask-multiple-choice-tool.tslib/ai/tools/ask-rating-tool.tslib/ai/tools/ask-text-input-tool.tslib/ai/tools/complete-stage-tool.tslib/ai/tools/evaluate-lock-tool.tslib/ai/tools/index.tsREADME.md
Dependencies
17 totalnpm packages
7AISDKUpstashlucide-reactNext.jsReactsonnerZod
Registry components
badgebuttoncheckboxemptyinputresizablescroll-areaselectseparatortextarea
Critical files
lib/stages.tsStage configuration array defining 4 stages (Brand Identity form, Target Audience form, Competitive Landscape chat, Strategy Synthesis). Each stage has lock items, initial inputs, agent instructions, and tool sets.
ai/levee-stream-config.tsBuilds streamText config per stage mode. Contains system prompt construction with mode-specific rules (form, chat, synthesis), tool set selection, and stop conditions. Central orchestration logic.
levee/route.tsStreaming API endpoint. Validates with Zod, calls buildStreamConfig, uses prepareStep to force evaluateLock after tool calls, streams lock updates via onStepFinish, and generates synthesis document on completeStage.
Requirements
- Complexity
- Advanced
- Setup time
- ~10 minutes
- Node
- 24+
- Memory
- 256MB
Upstash Redis
