← All IntelClip / AI AgentsBuild/verify loops and the goal-or-outcome primitive
From Claude for Long-Horizon Tasks — Lance Martin, Anthropic · ≈7:19
Gives the shared shape behind Claude Code goals and Managed Agents outcomes — a measurable end state graded by independent context, looping until satisfied.
What’s in it
- Gives the shared shape behind Claude Code goals and Managed Agents outcomes — a measurable end state graded by independent context, looping until satisfied.
Clip transcript
>> [snorts] >> And so, the way this works in practice is when you build loops, you can have a loop of a build context and a verifier context. And this can be a build agent verifier agent. And what happens is the verifier has some goal or rubric and it's verifying the result or work of the build agent. And this continues in a loop until verification is complete. And this is really the big idea behind this whole loops trend that you might have heard about and we found it to be a kind of a very powerful paradigm especially for working with some of the higher capacity models. And here are some of the primitives. So in Claude code you have goal and manage agents you have outcomes and the principles are really the same. You're setting up a measurable end state in both cases. You're using an independent context model. You're using independent context to grade over the course of this loop. The loop can run and you only exit the loop until this independent verifier has verified that it has the outcomes or outputs that you want. That's the key idea.
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