All guidesGuide 04
Intermediate • ~50min

Prompt Orchestration

Build multi-step AI workflows with prompt chaining, model routing, and conditional logic patterns.

This page introduces the guide. The lessons, examples and activities are ready: start at the beginning or choose a section from the contents below. No account needed.

Read the course and start the activities →
⚠Develop truly robust and contextual assistants by dynamically orchestrating prompts.

Objectives

01Assemble multiple prompts to solve a multi-step task
02Define conditional routing rules
03Optimize prompt architecture for robust workflows

Learn AI, from prompts to agents

15 free guidesQuizzes, diagrams and workshopsNo account needed

Skills

Architect a multi-step LLM workflow.Implement conditional logical routing.Optimize assistant robustness through chaining.

Related Articles (11)

articleJan 2025

Claude Code Team Collaboration: Multi-Agent Workflows

Master team workflows with Claude Code - from CLAUDE.md as organizational memory to multi-agent orchestration and skill composition for collaborative AI.

guideApr 2026

Claude Mythos & Project Glasswing: The AI Too Powerful to Release

Claude Mythos is Anthropic's unreleased frontier model that found zero-day vulnerabilities in every major OS.

guideMar 2026

Map-Reduce Prompting Patterns: Processing Large Data with AI

Learn the Map-Reduce pattern for AI: split large inputs into chunks, process in parallel, and merge results.

guideMar 2026

Prompt Chaining & Pipelines: Building Multi-Step AI

Learn to chain AI prompts into powerful multi-step pipelines. Covers sequential chains, parallel execution, error handling.

guideMar 2026

Prompt Routing & Conditional Logic: Building Intelligent AI

Master prompt routing techniques to dynamically select the right prompt based on input.

guideFeb 2026

Lyria 3: Complete Guide to Google's AI Music Generation, Prompts, SynthID & Creative Workflows (2026)

Master Google DeepMind's Lyria 3 AI music generator in Gemini. Learn to create 30-second tracks from text, images, and video prompts. Covers SynthID watermarking, prompt engineering tips, vocal customization, and comparison with Suno and Udio.

guideFeb 2026

Claude Opus 4.6: Complete Guide, 1M Context, Adaptive Thinking & Benchmarks (2026)

Claude Opus 4.6 is Anthropic's most powerful AI model with 1M token context, adaptive thinking, and state-of-the-art agentic coding.

guideJan 2026

Claude Code Plugins: Create & Distribute Extensions

Master Claude Code plugins. Learn to create, publish, and manage plugins that extend Claude's capabilities with new tools, integrations.

guideJan 2026

Claude Opus 4.5: Anthropic's Most Powerful Model Yet

Explore Claude Opus 4.5's advanced coding, agentic workflows, and computer use capabilities.

guideJan 2026

LLM Routing: Choosing the Right Model for Each Task

Learn why smart AI systems use different models for different tasks and how routing optimizes cost, speed, and quality.

guideJan 2026

Prompt Chaining: Building Multi-Step AI Workflows

Learn what prompt chaining is and how breaking complex tasks into connected steps unlocks new possibilities for AI automation.

Frequently Asked Questions

What is the "Prompt Orchestration" module?+

"Prompt Orchestration" is a Intermediate • ~50min-level online training module. Build multi-step AI workflows with prompt chaining, model routing, and conditional logic patterns.

Are there any prerequisites for this module?+

Yes, we recommend completing Module 3 before starting this module.

Is this module free?+

Yes, this module is completely free and accessible without a paid subscription.

What will I learn in this module?+

Architect a multi-step LLM workflow.. Implement conditional logical routing.. Optimize assistant robustness through chaining..

One practical AI workflow in your inbox

Methods, resources and new exercises. Free, unsubscribe at any time.