Build a harness when the same workflow needs the same setup and the same outcomes, every time
Building a harness for repetitive workflows allows you to be more prescriptive about job execution, resulting in greater efficiency, consistency, and better outcomes. Rather than explaining requirements to an AI agent each time, a harness lets you use a simpler interface like pasting a link while the agent already understands the intended task.
Summary
The speaker discusses the concept of building a harness for specific, repetitive jobs where you want more control over how work gets done. When you can identify the right workflows that have the same setup and same outcomes every time, creating a harness provides significant advantages in efficiency, consistency, and result quality. The speaker contrasts two approaches: using a direct AI tool like Cloud Code requires explicit instructions each time (e.g., 'Please fix this bug' followed by a link), which is verbose and repetitive. In contrast, a harness abstracts away this explanation layer. With a harness in place, you can simply paste a link and the agent already understands your intent and the job to be done without requiring detailed instructions. This approach eliminates redundancy and streamlines the workflow for standardized tasks.
Key Insights
- Building a harness for specific jobs enables more prescriptive control over how work gets done, leading to greater efficiency, consistency, and better outcomes
- Harnesses are most effective when applied to workflows that have identical setup and outcome requirements each time
- Direct AI tools like Cloud Code require explicit verbal instructions and context to be provided repeatedly for each task
- A harness eliminates the need to explain intent each time by encoding the workflow's purpose, so users can simply provide minimal input like a link
- The harness approach allows an AI agent to already understand the job to be done without additional explanation or context being provided
Topics
Transcript
[0:00] Sometimes with a specific job, you just want to micromanage a little bit. You just want to be more prescriptive about how that job gets done. And so if you can identify the right workflows, you can actually be more efficient, more consistent, and have better outcomes if you build a harness. So for this specific use case with a direct AI tool like Cloud Code, I would have to explain what I want the agent to do. So I'd have to say like, "Dear agent, please fix this bug. Here it is." and send the [0:30] link. Instead of this harness, I can literally just paste in the link and the agent already knows my intent, already knows…
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