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Cresta builds Conductor agent builder on Claude Agent SDK

Cresta, an AI-native customer experience platform, launched Conductor, an agent builder designed to help teams create production-ready agents without starting from scratch. The tool leverages the Claude Agent SDK to handle context gathering, tool use, and code execution, reducing initial deployment time by roughly half in early tests, according to the company.

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Key points

  • Conductor cuts initial agent deployment time by about half, Cresta reports
  • Uses Claude Agent SDK for context, tools, and code execution in agent-building
  • Evaluates agents via repeatable tasks and updates automatically with new Claude models

Conductor guides users through defining agent requirements, implementing them, and optimizing performance using Cresta’s conversation intelligence and CX expertise. It also includes a meta-agent that improves over time by capturing patterns from past builds. The platform evaluates agents through predefined tasks—building, testing, modifying, and diagnosing—and reruns these checks whenever new Claude models or updates arrive. This ensures reliability as business rules or systems evolve.

Cresta’s Renjie Li and Xiangru Chen emphasized the SDK’s role in providing a general-purpose foundation, allowing the company to focus on domain-specific improvements. Conductor targets enterprises needing deterministic workflows—critical for regulated industries—while balancing flexibility for adaptable conversations.

Full story from Anthropic Engineering primary sourceOpen source ↗

How Cresta turned CX expertise into an agent builder on the Claude Agent SDK

Anthropic Engineering · 5 October 2026

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This text was published by Anthropic Engineering. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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CrestaAnthropicClaude SonnetClaude OpusClaude (unspecified version)Renjie LiXiangru Chen

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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