ADV
Dec 25

Marketing Plan & Implement Agent

Two-phase marketing agent with brand context: Stage 0 extracts brand info from URL or manual input, planning phase gathers requirements and creates a plan with todos, implementation phase executes the plan using web scraping and research tools. Uses callOptionsSchema + prepareCall for dynamic agent configuration.

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Marketing Plan & Implement Agent preview

Problems Solved

  • Two-phase marketing workflow (plan then implement)
  • Interactive plan building through conversation
  • Automated research and web scraping during implementation
  • Structured todo list generation with dependencies
  • Real-time progress visualization for agent tools
  • Human-in-the-loop approval for plans
  • Stage management between planning and implementation
  • Dynamic agent configuration via callOptionsSchema and prepareCall
  • Passing runtime context to tools via experimental_context
  • Brand context extraction from URLs using Cheerio

Use Cases

  • Marketing campaign planning and execution
  • Competitor research and analysis
  • Content marketing strategy development
  • SEO research and implementation
  • Market trend analysis
  • Brand positioning research

AI SDK APIs

useChatgatewayToolLoopAgenttool(generateObjecthasToolCallstepCountIscreateAgentUIStreamResponseInferAgentUIMessagecallOptionsSchemaprepareCallexperimental_context

Tags

aiagentsmarketingplanningimplementationai-sdktool-loopweb-scrapingfirecrawlhuman-in-the-looptodo-management

Requirements

Node.js
18+
Memory
512MB
Other
  • OpenAI API key
  • Firecrawl API key

Environment Variables

External Services

openaifirecrawl

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End of Pattern