Post
216
Designing an acquisition agent around intent and constraints
We recently shared how we built an acquisition agent for GoDaddy Auctions, and one thing stood out: autonomy is easy to add—intent is not.
Rather than optimizing for agent capability, the design centered on:
-making user intent explicit and machine-actionable
-defining clear constraints on when and how the agent can act
-integrating tightly with existing systems, data, and trust boundaries
In our experience, this framing matters more than model choice once agents move into production environments.
The article describes how we approached this and what we learned when intent and constraints became core architectural inputs.
Link:
https://www.godaddy.com/resources/news/godaddy-auctions-building-the-acquisition-agent
Would love to hear how others here think about intent representation and guardrails in agentic systems.
We recently shared how we built an acquisition agent for GoDaddy Auctions, and one thing stood out: autonomy is easy to add—intent is not.
Rather than optimizing for agent capability, the design centered on:
-making user intent explicit and machine-actionable
-defining clear constraints on when and how the agent can act
-integrating tightly with existing systems, data, and trust boundaries
In our experience, this framing matters more than model choice once agents move into production environments.
The article describes how we approached this and what we learned when intent and constraints became core architectural inputs.
Link:
https://www.godaddy.com/resources/news/godaddy-auctions-building-the-acquisition-agent
Would love to hear how others here think about intent representation and guardrails in agentic systems.
