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Builder Reverse-Engineers Dynamic Workflows For Agent Orchestration

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elvis#483
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elvis#483
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elvis@omarsar0#483inAI

I am hooked on Dynamic Workflows!

The idea of generating harnesses on the fly is so compelling that I reverse-engineered it for my agent orchestrator.

And then I built a monitoring dashboard (as an HTML artifact) to track tasks, metrics, and reports.

I can now use and monitor dynamic workflows in my agent orchestrator with coding agents like Claude Code, Codex, Pi, and even my own custom-built @dair_ai agent.

This is clearly the future of working with agents to accomplish complex, long-running tasks.

Some use cases I'm having success with:

- Branching deep research tasks (with verification) - Parallel deep research tasks - Session mining of all my agent sessions - Bug hunting - Triaging - Fact-checking - LLM councils - AI simulations - Data synthesis - Evals generation ... and many others

Dynamic workflows, like agent skills, feel like an important primitive to not only get the most out of agents but also incorporate dynamic behaviors and important components like cooperation and verification.

There is so much exploration ground here. The exciting part is that this is not limited to coding tasks; it extends to business use cases and many other technical domains like science and research.

8:14 AM · Jun 4, 2026 · 16.4K Views
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elvis@omarsar0

During the process of reverse-engineering dynamic workflows for my agent orchestrator (what you see in the clip), it suddenly hit me how important it is to own the orchestrator and harness.

This might be the first instance/proof, as far as I know, of dynamic workflows effectively working outside the Claude Code ecosystem.

I believe Codex and other coding agents will soon realize that this primitive (like agent skills) needs to live in their ecosystem as well.

I don't need to wait for them. I have tested it with my version of dynamic workflows, and Codex works great with this. Pi also works amazingly well. But what you see on the clip is an experimental nano-like (@karpathy style) coding agent I built for @dair_ai. This means that even the simplest of agents can leverage this primitive.

elvis@omarsar0

I am hooked on Dynamic Workflows!

The idea of generating harnesses on the fly is so compelling that I reverse-engineered it for my agent orchestrator.

And then I built a monitoring dashboard (as an HTML artifact) to track tasks, metrics, and reports.

I can now use and monitor dynamic workflows in my agent orchestrator with coding agents like Claude Code, Codex, Pi, and even my own custom-built @dair_ai agent.

This is clearly the future of working with agents to accomplish complex, long-running tasks.

Some use cases I'm having success with:

- Branching deep research tasks (with verification) - Parallel deep research tasks - Session mining of all my agent sessions - Bug hunting - Triaging - Fact-checking - LLM councils - AI simulations - Data synthesis - Evals generation ... and many others

Dynamic workflows, like agent skills, feel like an important primitive to not only get the most out of agents but also incorporate dynamic behaviors and important components like cooperation and verification.

There is so much exploration ground here. The exciting part is that this is not limited to coding tasks; it extends to business use cases and many other technical domains like science and research.

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