Anthropic's Dynamic Workflows: What Everyone Gets Wrong!

Prompt Engineering · Intermediate ·🧠 Large Language Models ·1mo ago

About this lesson

Dynamic Workflows Explained: When to Use Them (and Avoid Burning Tokens) In this video I break down what “dynamic workflows” actually are and clear up common confusion, then compare them to single-agent setups, sub-agents, and agent teams by focusing on where the plan lives. I explain how dynamic workflows move the plan into versionable code (a script) and use primitives like agent/parallel/pipeline, plus an implement–adversarial verify–fix loop that requires an objective oracle like a strong test suite. I also cover the real costs and limits (16 concurrent agents, 1,000 per run) and why people can burn huge token budgets, including a 2B-token example. Finally, I share a decision tree for when to use workflows and demo a real migration in Claude Code, moving models from MLX to Transformers with measurable tests. Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: engineerprompt@gmail.com Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 00:00 Two Billion Token Wakeup 00:52 Agents and Where Plans Live 02:36 Goal Completion Criteria 03:33 Dynamic Workflows Defined 05:05 Workflow Script Anatomy 06:18 Implement Verify Fix Loop 07:10 When Workflows Backfire 09:39 Decision Tree for Use 11:29 Turning On Workflows 12:16 Migration Demo in Quorum

Original Description

Dynamic Workflows Explained: When to Use Them (and Avoid Burning Tokens) In this video I break down what “dynamic workflows” actually are and clear up common confusion, then compare them to single-agent setups, sub-agents, and agent teams by focusing on where the plan lives. I explain how dynamic workflows move the plan into versionable code (a script) and use primitives like agent/parallel/pipeline, plus an implement–adversarial verify–fix loop that requires an objective oracle like a strong test suite. I also cover the real costs and limits (16 concurrent agents, 1,000 per run) and why people can burn huge token budgets, including a 2B-token example. Finally, I share a decision tree for when to use workflows and demo a real migration in Claude Code, moving models from MLX to Transformers with measurable tests. Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: engineerprompt@gmail.com Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 00:00 Two Billion Token Wakeup 00:52 Agents and Where Plans Live 02:36 Goal Completion Criteria 03:33 Dynamic Workflows Defined 05:05 Workflow Script Anatomy 06:18 Implement Verify Fix Loop 07:10 When Workflows Backfire 09:39 Decision Tree for Use 11:29 Turning On Workflows 12:16 Migration Demo in Quorum
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Chapters (10)

Two Billion Token Wakeup
0:52 Agents and Where Plans Live
2:36 Goal Completion Criteria
3:33 Dynamic Workflows Defined
5:05 Workflow Script Anatomy
6:18 Implement Verify Fix Loop
7:10 When Workflows Backfire
9:39 Decision Tree for Use
11:29 Turning On Workflows
12:16 Migration Demo in Quorum
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