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Level 8 Complete

You now orchestrate production-grade AI workflows — sequential pipelines with progress streaming, custom agent loops with state tracking, and robust safeguards against uncontrolled behavior. From single calls to orchestrated pipelines, from prototype to robust application.

  • Workflows: Chain multiple generateText calls sequentially — output of Step N becomes input of Step N+1. Each step has its own system prompt, its own role. Individually testable, individually debuggable. Token tracking across the entire pipeline.
  • Streaming to Frontend: Stream workflow progress to the frontend in real time with createDataStream and writeData. Custom Data Parts for step updates, mergeIntoDataStream for the final text stream. One channel for progress and text — synchronous and in the correct order.
  • Custom Loop: Build your own agent loops with a while loop and messages array. Push result.response.messages back for context continuity. State tracking (tool call count, tools used), termination based on specific tool results instead of just step count.
  • Breaking the Loop: Four safeguards against uncontrolled behavior — max iterations, timeout with AbortController, cost guard (token budget), and quality check. Partial results instead of empty results on termination. breakReason for monitoring and debugging.
Skill Tree — Level 8 Workflows complete, Level 9 Advanced is the next level

In the Boss Fight you built a Multi-Step Research Pipeline — a system with a custom agent loop, break conditions, sequential workflow, and real-time streaming. Your pipeline researches autonomously, summarizes, formats — and is protected against infinite loops, timeouts, and exploding costs. This is the pattern that separates production AI systems from prototypes.

Level 9: Advanced Patterns — The finale. Guardrails protect your app from harmful inputs and outputs. Model routing automatically selects the right model for each task. Multi-output compares results from different models. Production-ready patterns that make the difference between a prototype and a robust AI application.

Part of AI Learning — free courses from prompt to production. Jan on LinkedIn