Designing an acquisition agent around intent and constraints
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Designing an acquisition agent around intent and constraints
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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.
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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.
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Rather than optimizing for agent capability, the design centered on:
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Rather than optimizing for agent capability, the design centered on:
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-making user intent explicit and machine-actionable
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-making user intent explicit and machine-actionable
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-defining clear constraints on when and how the agent can act
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-defining clear constraints on when and how the agent can act
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-integrating tightly with existing systems, data, and trust boundaries
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-integrating tightly with existing systems, data, and trust boundaries
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In our experience, this framing matters more than model choice once agents move into production environments.
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In our experience, this framing matters more than model choice once agents move into production environments.
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The article describes how we approached this and what we learned when intent and constraints became core architectural inputs.
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The article describes how we approached this and what we learned when intent and constraints became core architectural inputs.
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Link:
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Link:
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https://www.godaddy.com/resources/news/godaddy-auctions-building-the-acquisition-agent
https://www.godaddy.com/resources/news/godaddy-auctions-building-the-acquisition-agent
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Would love to hear how others here think about intent representation and guardrails in agentic systems.
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Would love to hear how others here think about intent representation and guardrails in agentic systems.
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.
👀
John6666
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Ujjwal Tyagi
Ujjwal-Tyagi
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