Katherine Xiao describes how Decagon’s new Agent Development team is transforming AI agent deployment from a custom, bottleneck-prone process into a scalable system. The team reduced custom engineering work per agent by 80%, enabling faster launches and greater customer autonomy.
Discovery
Learnings
- auto_storiesStories
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- timelineTimeline
Guidance
- codeTechnology of APIs
- business_centerBusiness of APIs
- campaignEvangelism of APIs
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- historyHistory of APIs
- account_balancePolitics of APIs
Toolbox
- domainProviders
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- layersOverlays
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- schemaSchema
- policyPolicies
- ruleRules